文件 AWS 開發套件範例 GitHub 儲存庫中有更多可用的 [AWS SDK 範例](https://github.com/awsdocs/aws-doc-sdk-examples)。 本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。 # SDK for Rust 的程式碼範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 AWS。 *基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 有些服務包含其他範例類別，示範如何利用特定於服務的程式庫或函數。 **其他資源** + ** [ SDK for Rust 開發人員指南 ](https://docs.aws.amazon.com/sdk-for-rust/latest/dg/welcome.html) ** – 搭配 使用 Rust 的詳細資訊 AWS。 + **[AWS 開發人員中心](https://aws.amazon.com/developer/code-examples/?awsf.sdk-code-examples-programming-language=programming-language%23rust)** – 您可以依類別或全文檢索搜尋功能篩選的程式碼範例。 + **[AWS SDK 範例](https://github.com/awsdocs/aws-doc-sdk-examples)** – GitHub 儲存庫使用偏好語言的完整程式碼。包含設定和執行程式碼的指示。 **Topics** + [API Gateway](rust_1_api-gateway_code_examples.md) + [API Gateway Management API](rust_1_apigatewaymanagementapi_code_examples.md) + [Application Auto Scaling](rust_1_application-auto-scaling_code_examples.md) + [Aurora](rust_1_aurora_code_examples.md) + [Auto Scaling](rust_1_auto-scaling_code_examples.md) + [Amazon Bedrock 執行時期](rust_1_bedrock-runtime_code_examples.md) + [Amazon Bedrock 代理程式執行時期](rust_1_bedrock-agent-runtime_code_examples.md) + [Amazon Cognito 身分提供者](rust_1_cognito-identity-provider_code_examples.md) + [Amazon Cognito Sync](rust_1_cognito-sync_code_examples.md) + [Firehose](rust_1_firehose_code_examples.md) + [Amazon DocumentDB](rust_1_docdb_code_examples.md) + [DynamoDB](rust_1_dynamodb_code_examples.md) + [Amazon EBS](rust_1_ebs_code_examples.md) + [Amazon EC2](rust_1_ec2_code_examples.md) + [Amazon ECR](rust_1_ecr_code_examples.md) + [Amazon ECS](rust_1_ecs_code_examples.md) + [Amazon EKS](rust_1_eks_code_examples.md) + [AWS Glue](rust_1_glue_code_examples.md) + [IAM](rust_1_iam_code_examples.md) + [AWS IoT](rust_1_iot_code_examples.md) + [Kinesis](rust_1_kinesis_code_examples.md) + [AWS KMS](rust_1_kms_code_examples.md) + [Lambda](rust_1_lambda_code_examples.md) + [MediaLive](rust_1_medialive_code_examples.md) + [MediaPackage](rust_1_mediapackage_code_examples.md) + [Amazon MSK](rust_1_kafka_code_examples.md) + [Amazon Polly](rust_1_polly_code_examples.md) + [Amazon RDS](rust_1_rds_code_examples.md) + [Amazon RDS 資料服務](rust_1_rds-data_code_examples.md) + [Amazon Rekognition](rust_1_rekognition_code_examples.md) + [Route 53](rust_1_route-53_code_examples.md) + [Amazon S3](rust_1_s3_code_examples.md) + [SageMaker AI](rust_1_sagemaker_code_examples.md) + [Secrets Manager](rust_1_secrets-manager_code_examples.md) + [Amazon SES API v2](rust_1_sesv2_code_examples.md) + [Amazon SNS](rust_1_sns_code_examples.md) + [Amazon SQS](rust_1_sqs_code_examples.md) + [AWS STS](rust_1_sts_code_examples.md) + [Systems Manager](rust_1_ssm_code_examples.md) + [Amazon Transcribe](rust_1_transcribe_code_examples.md) # 使用 SDK for Rust 的 API Gateway 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 API Gateway 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 *AWS 社群貢獻*是由多個團隊所建立和維護的範例 AWS。若要提供意見回饋，請使用連結儲存庫中提供的機制。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) + [案例](#scenarios) + [AWS 社群貢獻](#aws_community_contributions) ## 動作 ### `GetRestApis` 以下程式碼範例顯示如何使用 `GetRestApis`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/apigateway#code-examples)中設定和執行。 顯示區域中的 Amazon API Gateway REST API。 ``` async fn show_apis(client: &Client) -> Result<(), Error> { let resp = client.get_rest_apis().send().await?; for api in resp.items() { println!("ID: {}", api.id().unwrap_or_default()); println!("Name: {}", api.name().unwrap_or_default()); println!("Description: {}", api.description().unwrap_or_default()); println!("Version: {}", api.version().unwrap_or_default()); println!( "Created: {}", api.created_date().unwrap().to_chrono_utc()? ); println!(); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [GetRestApis](https://docs.rs/aws-sdk-apigateway/latest/aws_sdk_apigateway/client/struct.Client.html#method.get_rest_apis)。 ## 案例 ### 建立無伺服器應用程式來管理相片 下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。 **適用於 Rust 的 SDK** 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/cross_service/photo_asset_management) 上的完整範例。 如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。 **此範例中使用的服務** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ## AWS 社群貢獻 ### 建置和測試無伺服器應用程式 下列程式碼範例示範如何搭配 Lambda 和 DynamoDB 使用 API Gateway，建置和測試無伺服器應用程式 **適用於 Rust 的 SDK** 示範如何使用 Rust SDK 建置和測試無伺服器應用程式，而該應用程式是由具有 Lambda 和 DynamoDB 的 API Gateway 組成。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/aws-samples/serverless-rust-demo) 上的完整範例。 **此範例中使用的服務** + API Gateway + DynamoDB + Lambda # 使用 SDK for Rust 的 API Gateway Management API 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 API Gateway Management API 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `PostToConnection` 以下程式碼範例顯示如何使用 `PostToConnection`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/apigatewaymanagement#code-examples)中設定和執行。 ``` async fn send_data( client: &aws_sdk_apigatewaymanagement::Client, con_id: &str, data: &str, ) -> Result<(), aws_sdk_apigatewaymanagement::Error> { client .post_to_connection() .connection_id(con_id) .data(Blob::new(data)) .send() .await?; Ok(()) } let endpoint_url = format!( "https://{api_id}.execute-api.{region}.amazonaws.com/{stage}", api_id = api_id, region = region, stage = stage ); let shared_config = aws_config::from_env().region(region_provider).load().await; let api_management_config = config::Builder::from(&shared_config) .endpoint_url(endpoint_url) .build(); let client = Client::from_conf(api_management_config); ``` + 如需 API 詳細資訊，請參閱《AWS  SDK for Rust API 參考》**中的 [PostToConnection](https://docs.rs/aws-sdk-apigatewaymanagementapi/latest/aws_sdk_apigatewaymanagementapi/client/struct.Client.html#method.post_to_connection)。 # 使用 SDK for Rust 的 Application Auto Scaling 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Application Auto Scaling 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `DescribeScalingPolicies` 以下程式碼範例顯示如何使用 `DescribeScalingPolicies`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/applicationautoscaling#code-examples)中設定和執行。 ``` async fn show_policies(client: &Client) -> Result<(), Error> { let response = client .describe_scaling_policies() .service_namespace(ServiceNamespace::Ec2) .send() .await?; println!("Auto Scaling Policies:"); for policy in response.scaling_policies() { println!("{:?}\n", policy); } println!("Next token: {:?}", response.next_token()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeScalingPolicies](https://docs.rs/aws-sdk-applicationautoscaling/latest/aws_sdk_applicationautoscaling/client/struct.Client.html#method.describe_scaling_policies)。 # 使用 SDK for Rust的 Aurora 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Aurora 來執行動作和實作常見案例。 *基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [開始使用](#get_started) + [基本概念](#basics) + [動作](#actions) ## 開始使用 ### Hello Aurora 下列程式碼範例示範如何開始使用 Aurora。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` use aws_sdk_rds::Client; #[derive(Debug)] struct Error(String); impl std::fmt::Display for Error { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "{}", self.0) } } impl std::error::Error for Error {} #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt::init(); let sdk_config = aws_config::from_env().load().await; let client = Client::new(&sdk_config); let describe_db_clusters_output = client .describe_db_clusters() .send() .await .map_err(|e| Error(e.to_string()))?; println!( "Found {} clusters:", describe_db_clusters_output.db_clusters().len() ); for cluster in describe_db_clusters_output.db_clusters() { let name = cluster.database_name().unwrap_or("Unknown"); let engine = cluster.engine().unwrap_or("Unknown"); let id = cluster.db_cluster_identifier().unwrap_or("Unknown"); let class = cluster.db_cluster_instance_class().unwrap_or("Unknown"); println!("\tDatabase: {name}",); println!("\t Engine: {engine}",); println!("\t ID: {id}",); println!("\tInstance: {class}",); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DescribeDBClusters](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_clusters)。 ## 基本概念 ### 了解基本概念 以下程式碼範例顯示做法： + 建立自訂 Aurora 資料庫叢集參數群組並設定參數值。 + 建立使用該參數群組的資料庫叢集。 + 建立包含該資料庫的資料庫執行個體。 + 拍攝該資料庫叢集的快照，並清理資源。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 一種程式庫，其中包含 Aurora 案例的案例特定功能。 ``` use phf::{phf_set, Set}; use secrecy::SecretString; use std::{collections::HashMap, fmt::Display, time::Duration}; use aws_sdk_rds::{ error::ProvideErrorMetadata, operation::create_db_cluster_parameter_group::CreateDbClusterParameterGroupOutput, types::{DbCluster, DbClusterParameterGroup, DbClusterSnapshot, DbInstance, Parameter}, }; use sdk_examples_test_utils::waiter::Waiter; use tracing::{info, trace, warn}; const DB_ENGINE: &str = "aurora-mysql"; const DB_CLUSTER_PARAMETER_GROUP_NAME: &str = "RustSDKCodeExamplesDBParameterGroup"; const DB_CLUSTER_PARAMETER_GROUP_DESCRIPTION: &str = "Parameter Group created by Rust SDK Code Example"; const DB_CLUSTER_IDENTIFIER: &str = "RustSDKCodeExamplesDBCluster"; const DB_INSTANCE_IDENTIFIER: &str = "RustSDKCodeExamplesDBInstance"; static FILTER_PARAMETER_NAMES: Set<&'static str> = phf_set! { "auto_increment_offset", "auto_increment_increment", }; #[derive(Debug, PartialEq, Eq)] struct MetadataError { message: Option, code: Option, } impl MetadataError { fn from(err: &dyn ProvideErrorMetadata) -> Self { MetadataError { message: err.message().map(String::from), code: err.code().map(String::from), } } } impl Display for MetadataError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { let display = match (&self.message, &self.code) { (None, None) => "Unknown".to_string(), (None, Some(code)) => format!("({code})"), (Some(message), None) => message.to_string(), (Some(message), Some(code)) => format!("{message} ({code})"), }; write!(f, "{display}") } } #[derive(Debug, PartialEq, Eq)] pub struct ScenarioError { message: String, context: Option, } impl ScenarioError { pub fn with(message: impl Into) -> Self { ScenarioError { message: message.into(), context: None, } } pub fn new(message: impl Into, err: &dyn ProvideErrorMetadata) -> Self { ScenarioError { message: message.into(), context: Some(MetadataError::from(err)), } } } impl std::error::Error for ScenarioError {} impl Display for ScenarioError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { match &self.context { Some(c) => write!(f, "{}: {}", self.message, c), None => write!(f, "{}", self.message), } } } // Parse the ParameterName, Description, and AllowedValues values and display them. #[derive(Debug)] pub struct AuroraScenarioParameter { name: String, allowed_values: String, current_value: String, } impl Display for AuroraScenarioParameter { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!( f, "{}: {} (allowed: {})", self.name, self.current_value, self.allowed_values ) } } impl From for AuroraScenarioParameter { fn from(value: aws_sdk_rds::types::Parameter) -> Self { AuroraScenarioParameter { name: value.parameter_name.unwrap_or_default(), allowed_values: value.allowed_values.unwrap_or_default(), current_value: value.parameter_value.unwrap_or_default(), } } } pub struct AuroraScenario { rds: crate::rds::Rds, engine_family: Option, engine_version: Option, instance_class: Option, db_cluster_parameter_group: Option, db_cluster_identifier: Option, db_instance_identifier: Option, username: Option, password: Option, } impl AuroraScenario { pub fn new(client: crate::rds::Rds) -> Self { AuroraScenario { rds: client, engine_family: None, engine_version: None, instance_class: None, db_cluster_parameter_group: None, db_cluster_identifier: None, db_instance_identifier: None, username: None, password: None, } } // Get available engine families for Aurora MySql. rds.DescribeDbEngineVersions(Engine='aurora-mysql') and build a set of the 'DBParameterGroupFamily' field values. I get {aurora-mysql8.0, aurora-mysql5.7}. pub async fn get_engines(&self) -> Result>, ScenarioError> { let describe_db_engine_versions = self.rds.describe_db_engine_versions(DB_ENGINE).await; trace!(versions=?describe_db_engine_versions, "full list of versions"); if let Err(err) = describe_db_engine_versions { return Err(ScenarioError::new( "Failed to retrieve DB Engine Versions", &err, )); }; let version_count = describe_db_engine_versions .as_ref() .map(|o| o.db_engine_versions().len()) .unwrap_or_default(); info!(version_count, "got list of versions"); // Create a map of engine families to their available versions. let mut versions = HashMap::>::new(); describe_db_engine_versions .unwrap() .db_engine_versions() .iter() .filter_map( |v| match (&v.db_parameter_group_family, &v.engine_version) { (Some(family), Some(version)) => Some((family.clone(), version.clone())), _ => None, }, ) .for_each(|(family, version)| versions.entry(family).or_default().push(version)); Ok(versions) } pub async fn get_instance_classes(&self) -> Result, ScenarioError> { let describe_orderable_db_instance_options_items = self .rds .describe_orderable_db_instance_options( DB_ENGINE, self.engine_version .as_ref() .expect("engine version for db instance options") .as_str(), ) .await; describe_orderable_db_instance_options_items .map(|options| { options .iter() .filter(|o| o.storage_type() == Some("aurora")) .map(|o| o.db_instance_class().unwrap_or_default().to_string()) .collect::>() }) .map_err(|err| ScenarioError::new("Could not get available instance classes", &err)) } // Select an engine family and create a custom DB cluster parameter group. rds.CreateDbClusterParameterGroup(DBParameterGroupFamily='aurora-mysql8.0') pub async fn set_engine(&mut self, engine: &str, version: &str) -> Result<(), ScenarioError> { self.engine_family = Some(engine.to_string()); self.engine_version = Some(version.to_string()); let create_db_cluster_parameter_group = self .rds .create_db_cluster_parameter_group( DB_CLUSTER_PARAMETER_GROUP_NAME, DB_CLUSTER_PARAMETER_GROUP_DESCRIPTION, engine, ) .await; match create_db_cluster_parameter_group { Ok(CreateDbClusterParameterGroupOutput { db_cluster_parameter_group: None, .. }) => { return Err(ScenarioError::with( "CreateDBClusterParameterGroup had empty response", )); } Err(error) => { if error.code() == Some("DBParameterGroupAlreadyExists") { info!("Cluster Parameter Group already exists, nothing to do"); } else { return Err(ScenarioError::new( "Could not create Cluster Parameter Group", &error, )); } } _ => { info!("Created Cluster Parameter Group"); } } Ok(()) } pub fn set_instance_class(&mut self, instance_class: Option) { self.instance_class = instance_class; } pub fn set_login(&mut self, username: Option, password: Option) { self.username = username; self.password = password; } pub async fn connection_string(&self) -> Result { let cluster = self.get_cluster().await?; let endpoint = cluster.endpoint().unwrap_or_default(); let port = cluster.port().unwrap_or_default(); let username = cluster.master_username().unwrap_or_default(); Ok(format!("mysql -h {endpoint} -P {port} -u {username} -p")) } pub async fn get_cluster(&self) -> Result { let describe_db_clusters_output = self .rds .describe_db_clusters( self.db_cluster_identifier .as_ref() .expect("cluster identifier") .as_str(), ) .await; if let Err(err) = describe_db_clusters_output { return Err(ScenarioError::new("Failed to get cluster", &err)); } let db_cluster = describe_db_clusters_output .unwrap() .db_clusters .and_then(|output| output.first().cloned()); db_cluster.ok_or_else(|| ScenarioError::with("Did not find the cluster")) } // Get the parameter group. rds.DescribeDbClusterParameterGroups // Get parameters in the group. This is a long list so you will have to paginate. Find the auto_increment_offset and auto_increment_increment parameters (by ParameterName). rds.DescribeDbClusterParameters // Parse the ParameterName, Description, and AllowedValues values and display them. pub async fn cluster_parameters(&self) -> Result, ScenarioError> { let parameters_output = self .rds .describe_db_cluster_parameters(DB_CLUSTER_PARAMETER_GROUP_NAME) .await; if let Err(err) = parameters_output { return Err(ScenarioError::new( format!("Failed to retrieve parameters for {DB_CLUSTER_PARAMETER_GROUP_NAME}"), &err, )); } let parameters = parameters_output .unwrap() .into_iter() .flat_map(|p| p.parameters.unwrap_or_default().into_iter()) .filter(|p| FILTER_PARAMETER_NAMES.contains(p.parameter_name().unwrap_or_default())) .map(AuroraScenarioParameter::from) .collect::>(); Ok(parameters) } // Modify both the auto_increment_offset and auto_increment_increment parameters in one call in the custom parameter group. Set their ParameterValue fields to a new allowable value. rds.ModifyDbClusterParameterGroup. pub async fn update_auto_increment( &self, offset: u8, increment: u8, ) -> Result<(), ScenarioError> { let modify_db_cluster_parameter_group = self .rds .modify_db_cluster_parameter_group( DB_CLUSTER_PARAMETER_GROUP_NAME, vec![ Parameter::builder() .parameter_name("auto_increment_offset") .parameter_value(format!("{offset}")) .apply_method(aws_sdk_rds::types::ApplyMethod::Immediate) .build(), Parameter::builder() .parameter_name("auto_increment_increment") .parameter_value(format!("{increment}")) .apply_method(aws_sdk_rds::types::ApplyMethod::Immediate) .build(), ], ) .await; if let Err(error) = modify_db_cluster_parameter_group { return Err(ScenarioError::new( "Failed to modify cluster parameter group", &error, )); } Ok(()) } // Get a list of allowed engine versions. rds.DescribeDbEngineVersions(Engine='aurora-mysql', DBParameterGroupFamily=) // Create an Aurora DB cluster database cluster that contains a MySql database and uses the parameter group you created. // Wait for DB cluster to be ready. Call rds.DescribeDBClusters and check for Status == 'available'. // Get a list of instance classes available for the selected engine and engine version. rds.DescribeOrderableDbInstanceOptions(Engine='mysql', EngineVersion=). // Create a database instance in the cluster. // Wait for DB instance to be ready. Call rds.DescribeDbInstances and check for DBInstanceStatus == 'available'. pub async fn start_cluster_and_instance(&mut self) -> Result<(), ScenarioError> { if self.password.is_none() { return Err(ScenarioError::with( "Must set Secret Password before starting a cluster", )); } let create_db_cluster = self .rds .create_db_cluster( DB_CLUSTER_IDENTIFIER, DB_CLUSTER_PARAMETER_GROUP_NAME, DB_ENGINE, self.engine_version.as_deref().expect("engine version"), self.username.as_deref().expect("username"), self.password .replace(SecretString::new("".to_string())) .expect("password"), ) .await; if let Err(err) = create_db_cluster { return Err(ScenarioError::new( "Failed to create DB Cluster with cluster group", &err, )); } self.db_cluster_identifier = create_db_cluster .unwrap() .db_cluster .and_then(|c| c.db_cluster_identifier); if self.db_cluster_identifier.is_none() { return Err(ScenarioError::with("Created DB Cluster missing Identifier")); } info!( "Started a db cluster: {}", self.db_cluster_identifier .as_deref() .unwrap_or("Missing ARN") ); let create_db_instance = self .rds .create_db_instance( self.db_cluster_identifier.as_deref().expect("cluster name"), DB_INSTANCE_IDENTIFIER, self.instance_class.as_deref().expect("instance class"), DB_ENGINE, ) .await; if let Err(err) = create_db_instance { return Err(ScenarioError::new( "Failed to create Instance in DB Cluster", &err, )); } self.db_instance_identifier = create_db_instance .unwrap() .db_instance .and_then(|i| i.db_instance_identifier); // Cluster creation can take up to 20 minutes to become available let cluster_max_wait = Duration::from_secs(20 * 60); let waiter = Waiter::builder().max(cluster_max_wait).build(); while waiter.sleep().await.is_ok() { let cluster = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = cluster { warn!(?err, "Failed to describe cluster while waiting for ready"); continue; } let instance = self .rds .describe_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = instance { return Err(ScenarioError::new( "Failed to find instance for cluster", &err, )); } let instances_available = instance .unwrap() .db_instances() .iter() .all(|instance| instance.db_instance_status() == Some("Available")); let endpoints = self .rds .describe_db_cluster_endpoints( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = endpoints { return Err(ScenarioError::new( "Failed to find endpoint for cluster", &err, )); } let endpoints_available = endpoints .unwrap() .db_cluster_endpoints() .iter() .all(|endpoint| endpoint.status() == Some("available")); if instances_available && endpoints_available { return Ok(()); } } Err(ScenarioError::with("timed out waiting for cluster")) } // Create a snapshot of the DB cluster. rds.CreateDbClusterSnapshot. // Wait for the snapshot to create. rds.DescribeDbClusterSnapshots until Status == 'available'. pub async fn snapshot(&self, name: &str) -> Result { let id = self.db_cluster_identifier.as_deref().unwrap_or_default(); let snapshot = self .rds .snapshot_cluster(id, format!("{id}_{name}").as_str()) .await; match snapshot { Ok(output) => match output.db_cluster_snapshot { Some(snapshot) => Ok(snapshot), None => Err(ScenarioError::with("Missing Snapshot")), }, Err(err) => Err(ScenarioError::new("Failed to create snapshot", &err)), } } pub async fn clean_up(self) -> Result<(), Vec> { let mut clean_up_errors: Vec = vec![]; // Delete the instance. rds.DeleteDbInstance. let delete_db_instance = self .rds .delete_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = delete_db_instance { let identifier = self .db_instance_identifier .as_deref() .unwrap_or("Missing Instance Identifier"); let message = format!("failed to delete db instance {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance to delete let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_instances = self.rds.describe_db_instances().await; if let Err(err) = describe_db_instances { clean_up_errors.push(ScenarioError::new( "Failed to check instance state during deletion", &err, )); break; } let db_instances = describe_db_instances .unwrap() .db_instances() .iter() .filter(|instance| instance.db_cluster_identifier == self.db_cluster_identifier) .cloned() .collect::>(); if db_instances.is_empty() { trace!("Delete Instance waited and no instances were found"); break; } match db_instances.first().unwrap().db_instance_status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but instances is in {status}"); continue; } None => { warn!("No status for DB instance"); break; } } } } // Delete the DB cluster. rds.DeleteDbCluster. let delete_db_cluster = self .rds .delete_db_cluster( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = delete_db_cluster { let identifier = self .db_cluster_identifier .as_deref() .unwrap_or("Missing DB Cluster Identifier"); let message = format!("failed to delete db cluster {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance and cluster to fully delete. rds.DescribeDbInstances and rds.DescribeDbClusters until both are not found. let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_clusters = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = describe_db_clusters { clean_up_errors.push(ScenarioError::new( "Failed to check cluster state during deletion", &err, )); break; } let describe_db_clusters = describe_db_clusters.unwrap(); let db_clusters = describe_db_clusters.db_clusters(); if db_clusters.is_empty() { trace!("Delete cluster waited and no clusters were found"); break; } match db_clusters.first().unwrap().status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but clusters is in {status}"); continue; } None => { warn!("No status for DB cluster"); break; } } } } // Delete the DB cluster parameter group. rds.DeleteDbClusterParameterGroup. let delete_db_cluster_parameter_group = self .rds .delete_db_cluster_parameter_group( self.db_cluster_parameter_group .map(|g| { g.db_cluster_parameter_group_name .unwrap_or_else(|| DB_CLUSTER_PARAMETER_GROUP_NAME.to_string()) }) .as_deref() .expect("cluster parameter group name"), ) .await; if let Err(error) = delete_db_cluster_parameter_group { clean_up_errors.push(ScenarioError::new( "Failed to delete the db cluster parameter group", &error, )) } if clean_up_errors.is_empty() { Ok(()) } else { Err(clean_up_errors) } } } #[cfg(test)] pub mod tests; ``` 在 RDS 用戶端包裝函式使用自動模擬對程式庫進行測試。 ``` use crate::rds::MockRdsImpl; use super::*; use std::io::{Error, ErrorKind}; use assert_matches::assert_matches; use aws_sdk_rds::{ error::SdkError, operation::{ create_db_cluster::{CreateDBClusterError, CreateDbClusterOutput}, create_db_cluster_parameter_group::CreateDBClusterParameterGroupError, create_db_cluster_snapshot::{CreateDBClusterSnapshotError, CreateDbClusterSnapshotOutput}, create_db_instance::{CreateDBInstanceError, CreateDbInstanceOutput}, delete_db_cluster::DeleteDbClusterOutput, delete_db_cluster_parameter_group::DeleteDbClusterParameterGroupOutput, delete_db_instance::DeleteDbInstanceOutput, describe_db_cluster_endpoints::DescribeDbClusterEndpointsOutput, describe_db_cluster_parameters::{ DescribeDBClusterParametersError, DescribeDbClusterParametersOutput, }, describe_db_clusters::{DescribeDBClustersError, DescribeDbClustersOutput}, describe_db_engine_versions::{ DescribeDBEngineVersionsError, DescribeDbEngineVersionsOutput, }, describe_db_instances::{DescribeDBInstancesError, DescribeDbInstancesOutput}, describe_orderable_db_instance_options::DescribeOrderableDBInstanceOptionsError, modify_db_cluster_parameter_group::{ ModifyDBClusterParameterGroupError, ModifyDbClusterParameterGroupOutput, }, }, types::{ error::DbParameterGroupAlreadyExistsFault, DbClusterEndpoint, DbEngineVersion, OrderableDbInstanceOption, }, }; use aws_smithy_runtime_api::http::{Response, StatusCode}; use aws_smithy_types::body::SdkBody; use mockall::predicate::eq; use secrecy::ExposeSecret; #[tokio::test] async fn test_scenario_set_engine() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .with( eq("RustSDKCodeExamplesDBParameterGroup"), eq("Parameter Group created by Rust SDK Code Example"), eq("aurora-mysql"), ) .return_once(|_, _, _| { Ok(CreateDbClusterParameterGroupOutput::builder() .db_cluster_parameter_group(DbClusterParameterGroup::builder().build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); let set_engine = scenario.set_engine("aurora-mysql", "aurora-mysql8.0").await; assert_eq!(set_engine, Ok(())); assert_eq!(Some("aurora-mysql"), scenario.engine_family.as_deref()); assert_eq!(Some("aurora-mysql8.0"), scenario.engine_version.as_deref()); } #[tokio::test] async fn test_scenario_set_engine_not_create() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .with( eq("RustSDKCodeExamplesDBParameterGroup"), eq("Parameter Group created by Rust SDK Code Example"), eq("aurora-mysql"), ) .return_once(|_, _, _| Ok(CreateDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); let set_engine = scenario.set_engine("aurora-mysql", "aurora-mysql8.0").await; assert!(set_engine.is_err()); } #[tokio::test] async fn test_scenario_set_engine_param_group_exists() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .withf(|_, _, _| true) .return_once(|_, _, _| { Err(SdkError::service_error( CreateDBClusterParameterGroupError::DbParameterGroupAlreadyExistsFault( DbParameterGroupAlreadyExistsFault::builder().build(), ), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); let set_engine = scenario.set_engine("aurora-mysql", "aurora-mysql8.0").await; assert!(set_engine.is_err()); } #[tokio::test] async fn test_scenario_get_engines() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_engine_versions() .with(eq("aurora-mysql")) .return_once(|_| { Ok(DescribeDbEngineVersionsOutput::builder() .db_engine_versions( DbEngineVersion::builder() .db_parameter_group_family("f1") .engine_version("f1a") .build(), ) .db_engine_versions( DbEngineVersion::builder() .db_parameter_group_family("f1") .engine_version("f1b") .build(), ) .db_engine_versions( DbEngineVersion::builder() .db_parameter_group_family("f2") .engine_version("f2a") .build(), ) .db_engine_versions(DbEngineVersion::builder().build()) .build()) }); let scenario = AuroraScenario::new(mock_rds); let versions_map = scenario.get_engines().await; assert_eq!( versions_map, Ok(HashMap::from([ ("f1".into(), vec!["f1a".into(), "f1b".into()]), ("f2".into(), vec!["f2a".into()]) ])) ); } #[tokio::test] async fn test_scenario_get_engines_failed() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_engine_versions() .with(eq("aurora-mysql")) .return_once(|_| { Err(SdkError::service_error( DescribeDBEngineVersionsError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe_db_engine_versions error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let scenario = AuroraScenario::new(mock_rds); let versions_map = scenario.get_engines().await; assert_matches!( versions_map, Err(ScenarioError { message, context: _ }) if message == "Failed to retrieve DB Engine Versions" ); } #[tokio::test] async fn test_scenario_get_instance_classes() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .return_once(|_, _, _| { Ok(CreateDbClusterParameterGroupOutput::builder() .db_cluster_parameter_group(DbClusterParameterGroup::builder().build()) .build()) }); mock_rds .expect_describe_orderable_db_instance_options() .with(eq("aurora-mysql"), eq("aurora-mysql8.0")) .return_once(|_, _| { Ok(vec![ OrderableDbInstanceOption::builder() .db_instance_class("t1") .storage_type("aurora") .build(), OrderableDbInstanceOption::builder() .db_instance_class("t1") .storage_type("aurora-iopt1") .build(), OrderableDbInstanceOption::builder() .db_instance_class("t2") .storage_type("aurora") .build(), OrderableDbInstanceOption::builder() .db_instance_class("t3") .storage_type("aurora") .build(), ]) }); let mut scenario = AuroraScenario::new(mock_rds); scenario .set_engine("aurora-mysql", "aurora-mysql8.0") .await .expect("set engine"); let instance_classes = scenario.get_instance_classes().await; assert_eq!( instance_classes, Ok(vec!["t1".into(), "t2".into(), "t3".into()]) ); } #[tokio::test] async fn test_scenario_get_instance_classes_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_orderable_db_instance_options() .with(eq("aurora-mysql"), eq("aurora-mysql8.0")) .return_once(|_, _| { Err(SdkError::service_error( DescribeOrderableDBInstanceOptionsError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe_orderable_db_instance_options_error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_family = Some("aurora-mysql".into()); scenario.engine_version = Some("aurora-mysql8.0".into()); let instance_classes = scenario.get_instance_classes().await; assert_matches!( instance_classes, Err(ScenarioError {message, context: _}) if message == "Could not get available instance classes" ); } #[tokio::test] async fn test_scenario_get_cluster() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|_| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("RustSDKCodeExamplesDBCluster".into()); let cluster = scenario.get_cluster().await; assert!(cluster.is_ok()); } #[tokio::test] async fn test_scenario_get_cluster_missing_cluster() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .return_once(|_, _, _| { Ok(CreateDbClusterParameterGroupOutput::builder() .db_cluster_parameter_group(DbClusterParameterGroup::builder().build()) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|_| Ok(DescribeDbClustersOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("RustSDKCodeExamplesDBCluster".into()); let cluster = scenario.get_cluster().await; assert_matches!(cluster, Err(ScenarioError { message, context: _ }) if message == "Did not find the cluster"); } #[tokio::test] async fn test_scenario_get_cluster_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .return_once(|_, _, _| { Ok(CreateDbClusterParameterGroupOutput::builder() .db_cluster_parameter_group(DbClusterParameterGroup::builder().build()) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe_db_clusters_error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("RustSDKCodeExamplesDBCluster".into()); let cluster = scenario.get_cluster().await; assert_matches!(cluster, Err(ScenarioError { message, context: _ }) if message == "Failed to get cluster"); } #[tokio::test] async fn test_scenario_connection_string() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|_| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .endpoint("test_endpoint") .port(3306) .master_username("test_username") .build(), ) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("RustSDKCodeExamplesDBCluster".into()); let connection_string = scenario.connection_string().await; assert_eq!( connection_string, Ok("mysql -h test_endpoint -P 3306 -u test_username -p".into()) ); } #[tokio::test] async fn test_scenario_cluster_parameters() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_cluster_parameters() .with(eq("RustSDKCodeExamplesDBParameterGroup")) .return_once(|_| { Ok(vec![DescribeDbClusterParametersOutput::builder() .parameters(Parameter::builder().parameter_name("a").build()) .parameters(Parameter::builder().parameter_name("b").build()) .parameters( Parameter::builder() .parameter_name("auto_increment_offset") .build(), ) .parameters(Parameter::builder().parameter_name("c").build()) .parameters( Parameter::builder() .parameter_name("auto_increment_increment") .build(), ) .parameters(Parameter::builder().parameter_name("d").build()) .build()]) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("RustSDKCodeExamplesDBCluster".into()); let params = scenario.cluster_parameters().await.expect("cluster params"); let names: Vec = params.into_iter().map(|p| p.name).collect(); assert_eq!( names, vec!["auto_increment_offset", "auto_increment_increment"] ); } #[tokio::test] async fn test_scenario_cluster_parameters_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_cluster_parameters() .with(eq("RustSDKCodeExamplesDBParameterGroup")) .return_once(|_| { Err(SdkError::service_error( DescribeDBClusterParametersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe_db_cluster_parameters_error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("RustSDKCodeExamplesDBCluster".into()); let params = scenario.cluster_parameters().await; assert_matches!(params, Err(ScenarioError { message, context: _ }) if message == "Failed to retrieve parameters for RustSDKCodeExamplesDBParameterGroup"); } #[tokio::test] async fn test_scenario_update_auto_increment() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_modify_db_cluster_parameter_group() .withf(|name, params| { assert_eq!(name, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!( params, &vec![ Parameter::builder() .parameter_name("auto_increment_offset") .parameter_value("10") .apply_method(aws_sdk_rds::types::ApplyMethod::Immediate) .build(), Parameter::builder() .parameter_name("auto_increment_increment") .parameter_value("20") .apply_method(aws_sdk_rds::types::ApplyMethod::Immediate) .build(), ] ); true }) .return_once(|_, _| Ok(ModifyDbClusterParameterGroupOutput::builder().build())); let scenario = AuroraScenario::new(mock_rds); scenario .update_auto_increment(10, 20) .await .expect("update auto increment"); } #[tokio::test] async fn test_scenario_update_auto_increment_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_modify_db_cluster_parameter_group() .return_once(|_, _| { Err(SdkError::service_error( ModifyDBClusterParameterGroupError::unhandled(Box::new(Error::new( ErrorKind::Other, "modify_db_cluster_parameter_group_error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let scenario = AuroraScenario::new(mock_rds); let update = scenario.update_auto_increment(10, 20).await; assert_matches!(update, Err(ScenarioError { message, context: _}) if message == "Failed to modify cluster parameter group"); } #[tokio::test] async fn test_start_cluster_and_instance() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_describe_db_instance() .with(eq("RustSDKCodeExamplesDBInstance")) .return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); assert!(scenario .password .replace(SecretString::new("BAD SECRET".into())) .unwrap() .expose_secret() .is_empty()); assert_eq!( scenario.db_cluster_identifier, Some("RustSDKCodeExamplesDBCluster".into()) ); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Err(SdkError::service_error( CreateDBClusterError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _}) if message == "Failed to create DB Cluster with cluster group") } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_missing_id() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context:_ }) if message == "Created DB Cluster missing Identifier"); } #[tokio::test] async fn test_start_cluster_and_instance_instance_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .return_once(|_, _, _, _| { Err(SdkError::service_error( CreateDBInstanceError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db instance error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _ }) if message == "Failed to create Instance in DB Cluster") } #[tokio::test] async fn test_start_cluster_and_instance_wait_hiccup() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }) .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds.expect_describe_db_instance().return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_scenario_clean_up() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| Ok(DescribeDbInstancesOutput::builder().build())); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| Ok(DescribeDbClustersOutput::builder().build())); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_scenario_clean_up_errors() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| { Err(SdkError::service_error( DescribeDBInstancesError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db instances error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db clusters error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_err()); let errs = clean_up.unwrap_err(); assert_eq!(errs.len(), 2); assert_matches!(errs.first(), Some(ScenarioError {message, context: _}) if message == "Failed to check instance state during deletion"); assert_matches!(errs.get(1), Some(ScenarioError {message, context: _}) if message == "Failed to check cluster state during deletion"); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_scenario_snapshot() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_snapshot_cluster() .with(eq("MockCluster"), eq("MockCluster_MockSnapshot")) .times(1) .return_once(|_, _| { Ok(CreateDbClusterSnapshotOutput::builder() .db_cluster_snapshot( DbClusterSnapshot::builder() .db_cluster_identifier("MockCluster") .db_cluster_snapshot_identifier("MockCluster_MockSnapshot") .build(), ) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("MockCluster".into()); let create_snapshot = scenario.snapshot("MockSnapshot").await; assert!(create_snapshot.is_ok()); } #[tokio::test] async fn test_scenario_snapshot_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_snapshot_cluster() .with(eq("MockCluster"), eq("MockCluster_MockSnapshot")) .times(1) .return_once(|_, _| { Err(SdkError::service_error( CreateDBClusterSnapshotError::unhandled(Box::new(Error::new( ErrorKind::Other, "create snapshot error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("MockCluster".into()); let create_snapshot = scenario.snapshot("MockSnapshot").await; assert_matches!(create_snapshot, Err(ScenarioError { message, context: _}) if message == "Failed to create snapshot"); } #[tokio::test] async fn test_scenario_snapshot_invalid() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_snapshot_cluster() .with(eq("MockCluster"), eq("MockCluster_MockSnapshot")) .times(1) .return_once(|_, _| Ok(CreateDbClusterSnapshotOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("MockCluster".into()); let create_snapshot = scenario.snapshot("MockSnapshot").await; assert_matches!(create_snapshot, Err(ScenarioError { message, context: _}) if message == "Missing Snapshot"); } ``` 一種二進位檔案，其會使用查詢器從前端執行案例，以便使用者可以做出某些決策。 ``` use std::fmt::Display; use anyhow::anyhow; use aurora_code_examples::{ aurora_scenario::{AuroraScenario, ScenarioError}, rds::Rds as RdsClient, }; use aws_sdk_rds::Client; use inquire::{validator::StringValidator, CustomUserError}; use secrecy::SecretString; use tracing::warn; #[derive(Default, Debug)] struct Warnings(Vec); impl Warnings { fn new() -> Self { Warnings(Vec::with_capacity(5)) } fn push(&mut self, warning: &str, error: ScenarioError) { let formatted = format!("{warning}: {error}"); warn!("{formatted}"); self.0.push(formatted); } fn is_empty(&self) -> bool { self.0.is_empty() } } impl Display for Warnings { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { writeln!(f, "Warnings:")?; for warning in &self.0 { writeln!(f, "{: >4}- {warning}", "")?; } Ok(()) } } fn select( prompt: &str, choices: Vec, error_message: &str, ) -> Result { inquire::Select::new(prompt, choices) .prompt() .map_err(|error| anyhow!("{error_message}: {error}")) } // Prepare the Aurora Scenario. Prompt for several settings that are optional to the Scenario, but that the user should choose for the demo. // This includes the engine, engine version, and instance class. async fn prepare_scenario(rds: RdsClient) -> Result { let mut scenario = AuroraScenario::new(rds); // Get available engine families for Aurora MySql. rds.DescribeDbEngineVersions(Engine='aurora-mysql') and build a set of the 'DBParameterGroupFamily' field values. I get {aurora-mysql8.0, aurora-mysql5.7}. let available_engines = scenario.get_engines().await; if let Err(error) = available_engines { return Err(anyhow!("Failed to get available engines: {}", error)); } let available_engines = available_engines.unwrap(); // Select an engine family and create a custom DB cluster parameter group. rds.CreateDbClusterParameterGroup(DBParameterGroupFamily='aurora-mysql8.0') let engine = select( "Select an Aurora engine family", available_engines.keys().cloned().collect::>(), "Invalid engine selection", )?; let version = select( format!("Select an Aurora engine version for {engine}").as_str(), available_engines.get(&engine).cloned().unwrap_or_default(), "Invalid engine version selection", )?; let set_engine = scenario.set_engine(engine.as_str(), version.as_str()).await; if let Err(error) = set_engine { return Err(anyhow!("Could not set engine: {}", error)); } let instance_classes = scenario.get_instance_classes().await; match instance_classes { Ok(classes) => { let instance_class = select( format!("Select an Aurora instance class for {engine}").as_str(), classes, "Invalid instance class selection", )?; scenario.set_instance_class(Some(instance_class)) } Err(err) => return Err(anyhow!("Failed to get instance classes for engine: {err}")), } Ok(scenario) } // Prepare the cluster, creating a custom parameter group overriding some group parameters based on user input. async fn prepare_cluster(scenario: &mut AuroraScenario, warnings: &mut Warnings) -> Result<(), ()> { show_parameters(scenario, warnings).await; let offset = prompt_number_or_default(warnings, "auto_increment_offset", 5); let increment = prompt_number_or_default(warnings, "auto_increment_increment", 3); // Modify both the auto_increment_offset and auto_increment_increment parameters in one call in the custom parameter group. Set their ParameterValue fields to a new allowable value. rds.ModifyDbClusterParameterGroup. let update_auto_increment = scenario.update_auto_increment(offset, increment).await; if let Err(error) = update_auto_increment { warnings.push("Failed to update auto increment", error); return Err(()); } // Get and display the updated parameters. Specify Source of 'user' to get just the modified parameters. rds.DescribeDbClusterParameters(Source='user') show_parameters(scenario, warnings).await; let username = inquire::Text::new("Username for the database (default 'testuser')") .with_default("testuser") .with_initial_value("testuser") .prompt(); if let Err(error) = username { warnings.push( "Failed to get username, using default", ScenarioError::with(format!("Error from inquirer: {error}")), ); return Err(()); } let username = username.unwrap(); let password = inquire::Text::new("Password for the database (minimum 8 characters)") .with_validator(|i: &str| { if i.len() >= 8 { Ok(inquire::validator::Validation::Valid) } else { Ok(inquire::validator::Validation::Invalid( "Password must be at least 8 characters".into(), )) } }) .prompt(); let password: Option = match password { Ok(password) => Some(SecretString::from(password)), Err(error) => { warnings.push( "Failed to get password, using none (and not starting a DB)", ScenarioError::with(format!("Error from inquirer: {error}")), ); return Err(()); } }; scenario.set_login(Some(username), password); Ok(()) } // Start a single instance in the cluster, async fn run_instance(scenario: &mut AuroraScenario) -> Result<(), ScenarioError> { // Create an Aurora DB cluster database cluster that contains a MySql database and uses the parameter group you created. // Create a database instance in the cluster. // Wait for DB instance to be ready. Call rds.DescribeDbInstances and check for DBInstanceStatus == 'available'. scenario.start_cluster_and_instance().await?; let connection_string = scenario.connection_string().await?; println!("Database ready: {connection_string}",); let _ = inquire::Text::new("Use the database with the connection string. When you're finished, press enter key to continue.").prompt(); // Create a snapshot of the DB cluster. rds.CreateDbClusterSnapshot. // Wait for the snapshot to create. rds.DescribeDbClusterSnapshots until Status == 'available'. let snapshot_name = inquire::Text::new("Provide a name for the snapshot") .prompt() .unwrap_or(String::from("ScenarioRun")); let snapshot = scenario.snapshot(snapshot_name.as_str()).await?; println!( "Snapshot is available: {}", snapshot.db_cluster_snapshot_arn().unwrap_or("Missing ARN") ); Ok(()) } #[tokio::main] async fn main() -> Result<(), anyhow::Error> { tracing_subscriber::fmt::init(); let sdk_config = aws_config::from_env().load().await; let client = Client::new(&sdk_config); let rds = RdsClient::new(client); let mut scenario = prepare_scenario(rds).await?; // At this point, the scenario has things in AWS and needs to get cleaned up. let mut warnings = Warnings::new(); if prepare_cluster(&mut scenario, &mut warnings).await.is_ok() { println!("Configured database cluster, starting an instance."); if let Err(err) = run_instance(&mut scenario).await { warnings.push("Problem running instance", err); } } // Clean up the instance, cluster, and parameter group, waiting for the instance and cluster to delete before moving on. let clean_up = scenario.clean_up().await; if let Err(errors) = clean_up { for error in errors { warnings.push("Problem cleaning up scenario", error); } } if warnings.is_empty() { Ok(()) } else { println!("There were problems running the scenario:"); println!("{warnings}"); Err(anyhow!("There were problems running the scenario")) } } #[derive(Clone)] struct U8Validator {} impl StringValidator for U8Validator { fn validate(&self, input: &str) -> Result { if input.parse::().is_err() { Ok(inquire::validator::Validation::Invalid( "Can't parse input as number".into(), )) } else { Ok(inquire::validator::Validation::Valid) } } } async fn show_parameters(scenario: &AuroraScenario, warnings: &mut Warnings) { let parameters = scenario.cluster_parameters().await; match parameters { Ok(parameters) => { println!("Current parameters"); for parameter in parameters { println!("\t{parameter}"); } } Err(error) => warnings.push("Could not find cluster parameters", error), } } fn prompt_number_or_default(warnings: &mut Warnings, name: &str, default: u8) -> u8 { let input = inquire::Text::new(format!("Updated {name}:").as_str()) .with_validator(U8Validator {}) .prompt(); match input { Ok(increment) => match increment.parse::() { Ok(increment) => increment, Err(error) => { warnings.push( format!("Invalid updated {name} (using {default} instead)").as_str(), ScenarioError::with(format!("{error}")), ); default } }, Err(error) => { warnings.push( format!("Invalid updated {name} (using {default} instead)").as_str(), ScenarioError::with(format!("{error}")), ); default } } } ``` Amazon RDS 服務的包裝函式，其允許自動模擬以進行測試。 ``` use aws_sdk_rds::{ error::SdkError, operation::{ create_db_cluster::{CreateDBClusterError, CreateDbClusterOutput}, create_db_cluster_parameter_group::CreateDBClusterParameterGroupError, create_db_cluster_parameter_group::CreateDbClusterParameterGroupOutput, create_db_cluster_snapshot::{CreateDBClusterSnapshotError, CreateDbClusterSnapshotOutput}, create_db_instance::{CreateDBInstanceError, CreateDbInstanceOutput}, delete_db_cluster::{DeleteDBClusterError, DeleteDbClusterOutput}, delete_db_cluster_parameter_group::{ DeleteDBClusterParameterGroupError, DeleteDbClusterParameterGroupOutput, }, delete_db_instance::{DeleteDBInstanceError, DeleteDbInstanceOutput}, describe_db_cluster_endpoints::{ DescribeDBClusterEndpointsError, DescribeDbClusterEndpointsOutput, }, describe_db_cluster_parameters::{ DescribeDBClusterParametersError, DescribeDbClusterParametersOutput, }, describe_db_clusters::{DescribeDBClustersError, DescribeDbClustersOutput}, describe_db_engine_versions::{ DescribeDBEngineVersionsError, DescribeDbEngineVersionsOutput, }, describe_db_instances::{DescribeDBInstancesError, DescribeDbInstancesOutput}, describe_orderable_db_instance_options::DescribeOrderableDBInstanceOptionsError, modify_db_cluster_parameter_group::{ ModifyDBClusterParameterGroupError, ModifyDbClusterParameterGroupOutput, }, }, types::{OrderableDbInstanceOption, Parameter}, Client as RdsClient, }; use secrecy::{ExposeSecret, SecretString}; #[cfg(test)] use mockall::automock; #[cfg(test)] pub use MockRdsImpl as Rds; #[cfg(not(test))] pub use RdsImpl as Rds; pub struct RdsImpl { pub inner: RdsClient, } #[cfg_attr(test, automock)] impl RdsImpl { pub fn new(inner: RdsClient) -> Self { RdsImpl { inner } } pub async fn describe_db_engine_versions( &self, engine: &str, ) -> Result> { self.inner .describe_db_engine_versions() .engine(engine) .send() .await } pub async fn describe_orderable_db_instance_options( &self, engine: &str, engine_version: &str, ) -> Result, SdkError> { self.inner .describe_orderable_db_instance_options() .engine(engine) .engine_version(engine_version) .into_paginator() .items() .send() .try_collect() .await } pub async fn create_db_cluster_parameter_group( &self, name: &str, description: &str, family: &str, ) -> Result> { self.inner .create_db_cluster_parameter_group() .db_cluster_parameter_group_name(name) .description(description) .db_parameter_group_family(family) .send() .await } pub async fn describe_db_clusters( &self, id: &str, ) -> Result> { self.inner .describe_db_clusters() .db_cluster_identifier(id) .send() .await } pub async fn describe_db_cluster_parameters( &self, name: &str, ) -> Result, SdkError> { self.inner .describe_db_cluster_parameters() .db_cluster_parameter_group_name(name) .into_paginator() .send() .try_collect() .await } pub async fn modify_db_cluster_parameter_group( &self, name: &str, parameters: Vec, ) -> Result> { self.inner .modify_db_cluster_parameter_group() .db_cluster_parameter_group_name(name) .set_parameters(Some(parameters)) .send() .await } pub async fn create_db_cluster( &self, name: &str, parameter_group: &str, engine: &str, version: &str, username: &str, password: SecretString, ) -> Result> { self.inner .create_db_cluster() .db_cluster_identifier(name) .db_cluster_parameter_group_name(parameter_group) .engine(engine) .engine_version(version) .master_username(username) .master_user_password(password.expose_secret()) .send() .await } pub async fn create_db_instance( &self, cluster_name: &str, instance_name: &str, instance_class: &str, engine: &str, ) -> Result> { self.inner .create_db_instance() .db_cluster_identifier(cluster_name) .db_instance_identifier(instance_name) .db_instance_class(instance_class) .engine(engine) .send() .await } pub async fn describe_db_instance( &self, instance_identifier: &str, ) -> Result> { self.inner .describe_db_instances() .db_instance_identifier(instance_identifier) .send() .await } pub async fn snapshot_cluster( &self, db_cluster_identifier: &str, snapshot_name: &str, ) -> Result> { self.inner .create_db_cluster_snapshot() .db_cluster_identifier(db_cluster_identifier) .db_cluster_snapshot_identifier(snapshot_name) .send() .await } pub async fn describe_db_instances( &self, ) -> Result> { self.inner.describe_db_instances().send().await } pub async fn describe_db_cluster_endpoints( &self, cluster_identifier: &str, ) -> Result> { self.inner .describe_db_cluster_endpoints() .db_cluster_identifier(cluster_identifier) .send() .await } pub async fn delete_db_instance( &self, instance_identifier: &str, ) -> Result> { self.inner .delete_db_instance() .db_instance_identifier(instance_identifier) .skip_final_snapshot(true) .send() .await } pub async fn delete_db_cluster( &self, cluster_identifier: &str, ) -> Result> { self.inner .delete_db_cluster() .db_cluster_identifier(cluster_identifier) .skip_final_snapshot(true) .send() .await } pub async fn delete_db_cluster_parameter_group( &self, name: &str, ) -> Result> { self.inner .delete_db_cluster_parameter_group() .db_cluster_parameter_group_name(name) .send() .await } } ``` 在此案例中使用具有相依項的 Cargo.toml。 ``` [package] name = "aurora-code-examples" authors = [ "David Souther ", ] edition = "2021" version = "0.1.0" # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html [dependencies] anyhow = "1.0.75" assert_matches = "1.5.0" aws-config = { version = "1.0.1", features = ["behavior-version-latest"] } aws-smithy-types = { version = "1.0.1" } aws-smithy-runtime-api = { version = "1.0.1" } aws-sdk-rds = { version = "1.3.0" } inquire = "0.6.2" mockall = "0.11.4" phf = { version = "0.11.2", features = ["std", "macros"] } sdk-examples-test-utils = { path = "../../test-utils" } secrecy = "0.8.0" tokio = { version = "1.20.1", features = ["full", "test-util"] } tracing = "0.1.37" tracing-subscriber = { version = "0.3.15", features = ["env-filter"] } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的下列主題。 + [CreateDBCluster](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.create_db_cluster) + [CreateDBClusterParameterGroup](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.create_db_cluster_parameter_group) + [CreateDBClusterSnapshot](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.create_db_cluster_snapshot) + [CreateDBInstance](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.create_db_instance) + [DeleteDBCluster](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.delete_db_cluster) + [DeleteDBClusterParameterGroup](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.delete_db_cluster_parameter_group) + [DeleteDBInstance](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.delete_db_instance) + [DescribeDBClusterParameterGroups](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_cluster_parameter_groups) + [DescribeDBClusterParameters](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_cluster_parameters) + [DescribeDBClusterSnapshots](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_cluster_snapshots) + [DescribeDBClusters](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_clusters) + [DescribeDBEngineVersions](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_engine_versions) + [DescribeDBInstances](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_instances) + [DescribeOrderableDBInstanceOptions](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_orderable_db_instance_options) + [ModifyDBClusterParameterGroup](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.modify_db_cluster_parameter_group) ## 動作 ### `CreateDBCluster` 以下程式碼範例顯示如何使用 `CreateDBCluster`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` // Get a list of allowed engine versions. rds.DescribeDbEngineVersions(Engine='aurora-mysql', DBParameterGroupFamily=) // Create an Aurora DB cluster database cluster that contains a MySql database and uses the parameter group you created. // Wait for DB cluster to be ready. Call rds.DescribeDBClusters and check for Status == 'available'. // Get a list of instance classes available for the selected engine and engine version. rds.DescribeOrderableDbInstanceOptions(Engine='mysql', EngineVersion=). // Create a database instance in the cluster. // Wait for DB instance to be ready. Call rds.DescribeDbInstances and check for DBInstanceStatus == 'available'. pub async fn start_cluster_and_instance(&mut self) -> Result<(), ScenarioError> { if self.password.is_none() { return Err(ScenarioError::with( "Must set Secret Password before starting a cluster", )); } let create_db_cluster = self .rds .create_db_cluster( DB_CLUSTER_IDENTIFIER, DB_CLUSTER_PARAMETER_GROUP_NAME, DB_ENGINE, self.engine_version.as_deref().expect("engine version"), self.username.as_deref().expect("username"), self.password .replace(SecretString::new("".to_string())) .expect("password"), ) .await; if let Err(err) = create_db_cluster { return Err(ScenarioError::new( "Failed to create DB Cluster with cluster group", &err, )); } self.db_cluster_identifier = create_db_cluster .unwrap() .db_cluster .and_then(|c| c.db_cluster_identifier); if self.db_cluster_identifier.is_none() { return Err(ScenarioError::with("Created DB Cluster missing Identifier")); } info!( "Started a db cluster: {}", self.db_cluster_identifier .as_deref() .unwrap_or("Missing ARN") ); let create_db_instance = self .rds .create_db_instance( self.db_cluster_identifier.as_deref().expect("cluster name"), DB_INSTANCE_IDENTIFIER, self.instance_class.as_deref().expect("instance class"), DB_ENGINE, ) .await; if let Err(err) = create_db_instance { return Err(ScenarioError::new( "Failed to create Instance in DB Cluster", &err, )); } self.db_instance_identifier = create_db_instance .unwrap() .db_instance .and_then(|i| i.db_instance_identifier); // Cluster creation can take up to 20 minutes to become available let cluster_max_wait = Duration::from_secs(20 * 60); let waiter = Waiter::builder().max(cluster_max_wait).build(); while waiter.sleep().await.is_ok() { let cluster = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = cluster { warn!(?err, "Failed to describe cluster while waiting for ready"); continue; } let instance = self .rds .describe_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = instance { return Err(ScenarioError::new( "Failed to find instance for cluster", &err, )); } let instances_available = instance .unwrap() .db_instances() .iter() .all(|instance| instance.db_instance_status() == Some("Available")); let endpoints = self .rds .describe_db_cluster_endpoints( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = endpoints { return Err(ScenarioError::new( "Failed to find endpoint for cluster", &err, )); } let endpoints_available = endpoints .unwrap() .db_cluster_endpoints() .iter() .all(|endpoint| endpoint.status() == Some("available")); if instances_available && endpoints_available { return Ok(()); } } Err(ScenarioError::with("timed out waiting for cluster")) } pub async fn create_db_cluster( &self, name: &str, parameter_group: &str, engine: &str, version: &str, username: &str, password: SecretString, ) -> Result> { self.inner .create_db_cluster() .db_cluster_identifier(name) .db_cluster_parameter_group_name(parameter_group) .engine(engine) .engine_version(version) .master_username(username) .master_user_password(password.expose_secret()) .send() .await } #[tokio::test] async fn test_start_cluster_and_instance() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_describe_db_instance() .with(eq("RustSDKCodeExamplesDBInstance")) .return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); assert!(scenario .password .replace(SecretString::new("BAD SECRET".into())) .unwrap() .expose_secret() .is_empty()); assert_eq!( scenario.db_cluster_identifier, Some("RustSDKCodeExamplesDBCluster".into()) ); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Err(SdkError::service_error( CreateDBClusterError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _}) if message == "Failed to create DB Cluster with cluster group") } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_missing_id() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context:_ }) if message == "Created DB Cluster missing Identifier"); } #[tokio::test] async fn test_start_cluster_and_instance_instance_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .return_once(|_, _, _, _| { Err(SdkError::service_error( CreateDBInstanceError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db instance error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _ }) if message == "Failed to create Instance in DB Cluster") } #[tokio::test] async fn test_start_cluster_and_instance_wait_hiccup() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }) .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds.expect_describe_db_instance().return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [CreateDBCluster](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.create_db_cluster)。 ### `CreateDBClusterParameterGroup` 以下程式碼範例顯示如何使用 `CreateDBClusterParameterGroup`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` // Select an engine family and create a custom DB cluster parameter group. rds.CreateDbClusterParameterGroup(DBParameterGroupFamily='aurora-mysql8.0') pub async fn set_engine(&mut self, engine: &str, version: &str) -> Result<(), ScenarioError> { self.engine_family = Some(engine.to_string()); self.engine_version = Some(version.to_string()); let create_db_cluster_parameter_group = self .rds .create_db_cluster_parameter_group( DB_CLUSTER_PARAMETER_GROUP_NAME, DB_CLUSTER_PARAMETER_GROUP_DESCRIPTION, engine, ) .await; match create_db_cluster_parameter_group { Ok(CreateDbClusterParameterGroupOutput { db_cluster_parameter_group: None, .. }) => { return Err(ScenarioError::with( "CreateDBClusterParameterGroup had empty response", )); } Err(error) => { if error.code() == Some("DBParameterGroupAlreadyExists") { info!("Cluster Parameter Group already exists, nothing to do"); } else { return Err(ScenarioError::new( "Could not create Cluster Parameter Group", &error, )); } } _ => { info!("Created Cluster Parameter Group"); } } Ok(()) } pub async fn create_db_cluster_parameter_group( &self, name: &str, description: &str, family: &str, ) -> Result> { self.inner .create_db_cluster_parameter_group() .db_cluster_parameter_group_name(name) .description(description) .db_parameter_group_family(family) .send() .await } #[tokio::test] async fn test_scenario_set_engine() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .with( eq("RustSDKCodeExamplesDBParameterGroup"), eq("Parameter Group created by Rust SDK Code Example"), eq("aurora-mysql"), ) .return_once(|_, _, _| { Ok(CreateDbClusterParameterGroupOutput::builder() .db_cluster_parameter_group(DbClusterParameterGroup::builder().build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); let set_engine = scenario.set_engine("aurora-mysql", "aurora-mysql8.0").await; assert_eq!(set_engine, Ok(())); assert_eq!(Some("aurora-mysql"), scenario.engine_family.as_deref()); assert_eq!(Some("aurora-mysql8.0"), scenario.engine_version.as_deref()); } #[tokio::test] async fn test_scenario_set_engine_not_create() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .with( eq("RustSDKCodeExamplesDBParameterGroup"), eq("Parameter Group created by Rust SDK Code Example"), eq("aurora-mysql"), ) .return_once(|_, _, _| Ok(CreateDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); let set_engine = scenario.set_engine("aurora-mysql", "aurora-mysql8.0").await; assert!(set_engine.is_err()); } #[tokio::test] async fn test_scenario_set_engine_param_group_exists() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .withf(|_, _, _| true) .return_once(|_, _, _| { Err(SdkError::service_error( CreateDBClusterParameterGroupError::DbParameterGroupAlreadyExistsFault( DbParameterGroupAlreadyExistsFault::builder().build(), ), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); let set_engine = scenario.set_engine("aurora-mysql", "aurora-mysql8.0").await; assert!(set_engine.is_err()); } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [CreateDBClusterParameterGroup](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.create_db_cluster_parameter_group)。 ### `CreateDBClusterSnapshot` 以下程式碼範例顯示如何使用 `CreateDBClusterSnapshot`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` // Get a list of allowed engine versions. rds.DescribeDbEngineVersions(Engine='aurora-mysql', DBParameterGroupFamily=) // Create an Aurora DB cluster database cluster that contains a MySql database and uses the parameter group you created. // Wait for DB cluster to be ready. Call rds.DescribeDBClusters and check for Status == 'available'. // Get a list of instance classes available for the selected engine and engine version. rds.DescribeOrderableDbInstanceOptions(Engine='mysql', EngineVersion=). // Create a database instance in the cluster. // Wait for DB instance to be ready. Call rds.DescribeDbInstances and check for DBInstanceStatus == 'available'. pub async fn start_cluster_and_instance(&mut self) -> Result<(), ScenarioError> { if self.password.is_none() { return Err(ScenarioError::with( "Must set Secret Password before starting a cluster", )); } let create_db_cluster = self .rds .create_db_cluster( DB_CLUSTER_IDENTIFIER, DB_CLUSTER_PARAMETER_GROUP_NAME, DB_ENGINE, self.engine_version.as_deref().expect("engine version"), self.username.as_deref().expect("username"), self.password .replace(SecretString::new("".to_string())) .expect("password"), ) .await; if let Err(err) = create_db_cluster { return Err(ScenarioError::new( "Failed to create DB Cluster with cluster group", &err, )); } self.db_cluster_identifier = create_db_cluster .unwrap() .db_cluster .and_then(|c| c.db_cluster_identifier); if self.db_cluster_identifier.is_none() { return Err(ScenarioError::with("Created DB Cluster missing Identifier")); } info!( "Started a db cluster: {}", self.db_cluster_identifier .as_deref() .unwrap_or("Missing ARN") ); let create_db_instance = self .rds .create_db_instance( self.db_cluster_identifier.as_deref().expect("cluster name"), DB_INSTANCE_IDENTIFIER, self.instance_class.as_deref().expect("instance class"), DB_ENGINE, ) .await; if let Err(err) = create_db_instance { return Err(ScenarioError::new( "Failed to create Instance in DB Cluster", &err, )); } self.db_instance_identifier = create_db_instance .unwrap() .db_instance .and_then(|i| i.db_instance_identifier); // Cluster creation can take up to 20 minutes to become available let cluster_max_wait = Duration::from_secs(20 * 60); let waiter = Waiter::builder().max(cluster_max_wait).build(); while waiter.sleep().await.is_ok() { let cluster = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = cluster { warn!(?err, "Failed to describe cluster while waiting for ready"); continue; } let instance = self .rds .describe_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = instance { return Err(ScenarioError::new( "Failed to find instance for cluster", &err, )); } let instances_available = instance .unwrap() .db_instances() .iter() .all(|instance| instance.db_instance_status() == Some("Available")); let endpoints = self .rds .describe_db_cluster_endpoints( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = endpoints { return Err(ScenarioError::new( "Failed to find endpoint for cluster", &err, )); } let endpoints_available = endpoints .unwrap() .db_cluster_endpoints() .iter() .all(|endpoint| endpoint.status() == Some("available")); if instances_available && endpoints_available { return Ok(()); } } Err(ScenarioError::with("timed out waiting for cluster")) } pub async fn snapshot_cluster( &self, db_cluster_identifier: &str, snapshot_name: &str, ) -> Result> { self.inner .create_db_cluster_snapshot() .db_cluster_identifier(db_cluster_identifier) .db_cluster_snapshot_identifier(snapshot_name) .send() .await } #[tokio::test] async fn test_start_cluster_and_instance() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_describe_db_instance() .with(eq("RustSDKCodeExamplesDBInstance")) .return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); assert!(scenario .password .replace(SecretString::new("BAD SECRET".into())) .unwrap() .expose_secret() .is_empty()); assert_eq!( scenario.db_cluster_identifier, Some("RustSDKCodeExamplesDBCluster".into()) ); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Err(SdkError::service_error( CreateDBClusterError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _}) if message == "Failed to create DB Cluster with cluster group") } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_missing_id() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context:_ }) if message == "Created DB Cluster missing Identifier"); } #[tokio::test] async fn test_start_cluster_and_instance_instance_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .return_once(|_, _, _, _| { Err(SdkError::service_error( CreateDBInstanceError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db instance error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _ }) if message == "Failed to create Instance in DB Cluster") } #[tokio::test] async fn test_start_cluster_and_instance_wait_hiccup() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }) .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds.expect_describe_db_instance().return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [CreateDBClusterSnapshot](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.create_db_cluster_snapshot)。 ### `CreateDBInstance` 以下程式碼範例顯示如何使用 `CreateDBInstance`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` // Get a list of allowed engine versions. rds.DescribeDbEngineVersions(Engine='aurora-mysql', DBParameterGroupFamily=) // Create an Aurora DB cluster database cluster that contains a MySql database and uses the parameter group you created. // Wait for DB cluster to be ready. Call rds.DescribeDBClusters and check for Status == 'available'. // Get a list of instance classes available for the selected engine and engine version. rds.DescribeOrderableDbInstanceOptions(Engine='mysql', EngineVersion=). // Create a database instance in the cluster. // Wait for DB instance to be ready. Call rds.DescribeDbInstances and check for DBInstanceStatus == 'available'. pub async fn start_cluster_and_instance(&mut self) -> Result<(), ScenarioError> { if self.password.is_none() { return Err(ScenarioError::with( "Must set Secret Password before starting a cluster", )); } let create_db_cluster = self .rds .create_db_cluster( DB_CLUSTER_IDENTIFIER, DB_CLUSTER_PARAMETER_GROUP_NAME, DB_ENGINE, self.engine_version.as_deref().expect("engine version"), self.username.as_deref().expect("username"), self.password .replace(SecretString::new("".to_string())) .expect("password"), ) .await; if let Err(err) = create_db_cluster { return Err(ScenarioError::new( "Failed to create DB Cluster with cluster group", &err, )); } self.db_cluster_identifier = create_db_cluster .unwrap() .db_cluster .and_then(|c| c.db_cluster_identifier); if self.db_cluster_identifier.is_none() { return Err(ScenarioError::with("Created DB Cluster missing Identifier")); } info!( "Started a db cluster: {}", self.db_cluster_identifier .as_deref() .unwrap_or("Missing ARN") ); let create_db_instance = self .rds .create_db_instance( self.db_cluster_identifier.as_deref().expect("cluster name"), DB_INSTANCE_IDENTIFIER, self.instance_class.as_deref().expect("instance class"), DB_ENGINE, ) .await; if let Err(err) = create_db_instance { return Err(ScenarioError::new( "Failed to create Instance in DB Cluster", &err, )); } self.db_instance_identifier = create_db_instance .unwrap() .db_instance .and_then(|i| i.db_instance_identifier); // Cluster creation can take up to 20 minutes to become available let cluster_max_wait = Duration::from_secs(20 * 60); let waiter = Waiter::builder().max(cluster_max_wait).build(); while waiter.sleep().await.is_ok() { let cluster = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = cluster { warn!(?err, "Failed to describe cluster while waiting for ready"); continue; } let instance = self .rds .describe_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = instance { return Err(ScenarioError::new( "Failed to find instance for cluster", &err, )); } let instances_available = instance .unwrap() .db_instances() .iter() .all(|instance| instance.db_instance_status() == Some("Available")); let endpoints = self .rds .describe_db_cluster_endpoints( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = endpoints { return Err(ScenarioError::new( "Failed to find endpoint for cluster", &err, )); } let endpoints_available = endpoints .unwrap() .db_cluster_endpoints() .iter() .all(|endpoint| endpoint.status() == Some("available")); if instances_available && endpoints_available { return Ok(()); } } Err(ScenarioError::with("timed out waiting for cluster")) } pub async fn create_db_instance( &self, cluster_name: &str, instance_name: &str, instance_class: &str, engine: &str, ) -> Result> { self.inner .create_db_instance() .db_cluster_identifier(cluster_name) .db_instance_identifier(instance_name) .db_instance_class(instance_class) .engine(engine) .send() .await } #[tokio::test] async fn test_start_cluster_and_instance() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_describe_db_instance() .with(eq("RustSDKCodeExamplesDBInstance")) .return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); assert!(scenario .password .replace(SecretString::new("BAD SECRET".into())) .unwrap() .expose_secret() .is_empty()); assert_eq!( scenario.db_cluster_identifier, Some("RustSDKCodeExamplesDBCluster".into()) ); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Err(SdkError::service_error( CreateDBClusterError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _}) if message == "Failed to create DB Cluster with cluster group") } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_missing_id() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context:_ }) if message == "Created DB Cluster missing Identifier"); } #[tokio::test] async fn test_start_cluster_and_instance_instance_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .return_once(|_, _, _, _| { Err(SdkError::service_error( CreateDBInstanceError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db instance error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _ }) if message == "Failed to create Instance in DB Cluster") } #[tokio::test] async fn test_start_cluster_and_instance_wait_hiccup() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }) .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds.expect_describe_db_instance().return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [CreateDBInstance](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.create_db_instance)。 ### `DeleteDBCluster` 以下程式碼範例顯示如何使用 `DeleteDBCluster`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` pub async fn clean_up(self) -> Result<(), Vec> { let mut clean_up_errors: Vec = vec![]; // Delete the instance. rds.DeleteDbInstance. let delete_db_instance = self .rds .delete_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = delete_db_instance { let identifier = self .db_instance_identifier .as_deref() .unwrap_or("Missing Instance Identifier"); let message = format!("failed to delete db instance {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance to delete let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_instances = self.rds.describe_db_instances().await; if let Err(err) = describe_db_instances { clean_up_errors.push(ScenarioError::new( "Failed to check instance state during deletion", &err, )); break; } let db_instances = describe_db_instances .unwrap() .db_instances() .iter() .filter(|instance| instance.db_cluster_identifier == self.db_cluster_identifier) .cloned() .collect::>(); if db_instances.is_empty() { trace!("Delete Instance waited and no instances were found"); break; } match db_instances.first().unwrap().db_instance_status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but instances is in {status}"); continue; } None => { warn!("No status for DB instance"); break; } } } } // Delete the DB cluster. rds.DeleteDbCluster. let delete_db_cluster = self .rds .delete_db_cluster( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = delete_db_cluster { let identifier = self .db_cluster_identifier .as_deref() .unwrap_or("Missing DB Cluster Identifier"); let message = format!("failed to delete db cluster {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance and cluster to fully delete. rds.DescribeDbInstances and rds.DescribeDbClusters until both are not found. let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_clusters = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = describe_db_clusters { clean_up_errors.push(ScenarioError::new( "Failed to check cluster state during deletion", &err, )); break; } let describe_db_clusters = describe_db_clusters.unwrap(); let db_clusters = describe_db_clusters.db_clusters(); if db_clusters.is_empty() { trace!("Delete cluster waited and no clusters were found"); break; } match db_clusters.first().unwrap().status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but clusters is in {status}"); continue; } None => { warn!("No status for DB cluster"); break; } } } } // Delete the DB cluster parameter group. rds.DeleteDbClusterParameterGroup. let delete_db_cluster_parameter_group = self .rds .delete_db_cluster_parameter_group( self.db_cluster_parameter_group .map(|g| { g.db_cluster_parameter_group_name .unwrap_or_else(|| DB_CLUSTER_PARAMETER_GROUP_NAME.to_string()) }) .as_deref() .expect("cluster parameter group name"), ) .await; if let Err(error) = delete_db_cluster_parameter_group { clean_up_errors.push(ScenarioError::new( "Failed to delete the db cluster parameter group", &error, )) } if clean_up_errors.is_empty() { Ok(()) } else { Err(clean_up_errors) } } pub async fn delete_db_cluster( &self, cluster_identifier: &str, ) -> Result> { self.inner .delete_db_cluster() .db_cluster_identifier(cluster_identifier) .skip_final_snapshot(true) .send() .await } #[tokio::test] async fn test_scenario_clean_up() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| Ok(DescribeDbInstancesOutput::builder().build())); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| Ok(DescribeDbClustersOutput::builder().build())); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_scenario_clean_up_errors() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| { Err(SdkError::service_error( DescribeDBInstancesError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db instances error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db clusters error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_err()); let errs = clean_up.unwrap_err(); assert_eq!(errs.len(), 2); assert_matches!(errs.first(), Some(ScenarioError {message, context: _}) if message == "Failed to check instance state during deletion"); assert_matches!(errs.get(1), Some(ScenarioError {message, context: _}) if message == "Failed to check cluster state during deletion"); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DeleteDBCluster](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.delete_db_cluster)。 ### `DeleteDBClusterParameterGroup` 以下程式碼範例顯示如何使用 `DeleteDBClusterParameterGroup`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` pub async fn clean_up(self) -> Result<(), Vec> { let mut clean_up_errors: Vec = vec![]; // Delete the instance. rds.DeleteDbInstance. let delete_db_instance = self .rds .delete_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = delete_db_instance { let identifier = self .db_instance_identifier .as_deref() .unwrap_or("Missing Instance Identifier"); let message = format!("failed to delete db instance {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance to delete let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_instances = self.rds.describe_db_instances().await; if let Err(err) = describe_db_instances { clean_up_errors.push(ScenarioError::new( "Failed to check instance state during deletion", &err, )); break; } let db_instances = describe_db_instances .unwrap() .db_instances() .iter() .filter(|instance| instance.db_cluster_identifier == self.db_cluster_identifier) .cloned() .collect::>(); if db_instances.is_empty() { trace!("Delete Instance waited and no instances were found"); break; } match db_instances.first().unwrap().db_instance_status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but instances is in {status}"); continue; } None => { warn!("No status for DB instance"); break; } } } } // Delete the DB cluster. rds.DeleteDbCluster. let delete_db_cluster = self .rds .delete_db_cluster( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = delete_db_cluster { let identifier = self .db_cluster_identifier .as_deref() .unwrap_or("Missing DB Cluster Identifier"); let message = format!("failed to delete db cluster {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance and cluster to fully delete. rds.DescribeDbInstances and rds.DescribeDbClusters until both are not found. let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_clusters = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = describe_db_clusters { clean_up_errors.push(ScenarioError::new( "Failed to check cluster state during deletion", &err, )); break; } let describe_db_clusters = describe_db_clusters.unwrap(); let db_clusters = describe_db_clusters.db_clusters(); if db_clusters.is_empty() { trace!("Delete cluster waited and no clusters were found"); break; } match db_clusters.first().unwrap().status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but clusters is in {status}"); continue; } None => { warn!("No status for DB cluster"); break; } } } } // Delete the DB cluster parameter group. rds.DeleteDbClusterParameterGroup. let delete_db_cluster_parameter_group = self .rds .delete_db_cluster_parameter_group( self.db_cluster_parameter_group .map(|g| { g.db_cluster_parameter_group_name .unwrap_or_else(|| DB_CLUSTER_PARAMETER_GROUP_NAME.to_string()) }) .as_deref() .expect("cluster parameter group name"), ) .await; if let Err(error) = delete_db_cluster_parameter_group { clean_up_errors.push(ScenarioError::new( "Failed to delete the db cluster parameter group", &error, )) } if clean_up_errors.is_empty() { Ok(()) } else { Err(clean_up_errors) } } pub async fn delete_db_cluster_parameter_group( &self, name: &str, ) -> Result> { self.inner .delete_db_cluster_parameter_group() .db_cluster_parameter_group_name(name) .send() .await } #[tokio::test] async fn test_scenario_clean_up() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| Ok(DescribeDbInstancesOutput::builder().build())); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| Ok(DescribeDbClustersOutput::builder().build())); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_scenario_clean_up_errors() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| { Err(SdkError::service_error( DescribeDBInstancesError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db instances error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db clusters error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_err()); let errs = clean_up.unwrap_err(); assert_eq!(errs.len(), 2); assert_matches!(errs.first(), Some(ScenarioError {message, context: _}) if message == "Failed to check instance state during deletion"); assert_matches!(errs.get(1), Some(ScenarioError {message, context: _}) if message == "Failed to check cluster state during deletion"); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DeleteDBClusterParameterGroup](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.delete_db_cluster_parameter_group)。 ### `DeleteDBInstance` 以下程式碼範例顯示如何使用 `DeleteDBInstance`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` pub async fn clean_up(self) -> Result<(), Vec> { let mut clean_up_errors: Vec = vec![]; // Delete the instance. rds.DeleteDbInstance. let delete_db_instance = self .rds .delete_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = delete_db_instance { let identifier = self .db_instance_identifier .as_deref() .unwrap_or("Missing Instance Identifier"); let message = format!("failed to delete db instance {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance to delete let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_instances = self.rds.describe_db_instances().await; if let Err(err) = describe_db_instances { clean_up_errors.push(ScenarioError::new( "Failed to check instance state during deletion", &err, )); break; } let db_instances = describe_db_instances .unwrap() .db_instances() .iter() .filter(|instance| instance.db_cluster_identifier == self.db_cluster_identifier) .cloned() .collect::>(); if db_instances.is_empty() { trace!("Delete Instance waited and no instances were found"); break; } match db_instances.first().unwrap().db_instance_status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but instances is in {status}"); continue; } None => { warn!("No status for DB instance"); break; } } } } // Delete the DB cluster. rds.DeleteDbCluster. let delete_db_cluster = self .rds .delete_db_cluster( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = delete_db_cluster { let identifier = self .db_cluster_identifier .as_deref() .unwrap_or("Missing DB Cluster Identifier"); let message = format!("failed to delete db cluster {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance and cluster to fully delete. rds.DescribeDbInstances and rds.DescribeDbClusters until both are not found. let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_clusters = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = describe_db_clusters { clean_up_errors.push(ScenarioError::new( "Failed to check cluster state during deletion", &err, )); break; } let describe_db_clusters = describe_db_clusters.unwrap(); let db_clusters = describe_db_clusters.db_clusters(); if db_clusters.is_empty() { trace!("Delete cluster waited and no clusters were found"); break; } match db_clusters.first().unwrap().status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but clusters is in {status}"); continue; } None => { warn!("No status for DB cluster"); break; } } } } // Delete the DB cluster parameter group. rds.DeleteDbClusterParameterGroup. let delete_db_cluster_parameter_group = self .rds .delete_db_cluster_parameter_group( self.db_cluster_parameter_group .map(|g| { g.db_cluster_parameter_group_name .unwrap_or_else(|| DB_CLUSTER_PARAMETER_GROUP_NAME.to_string()) }) .as_deref() .expect("cluster parameter group name"), ) .await; if let Err(error) = delete_db_cluster_parameter_group { clean_up_errors.push(ScenarioError::new( "Failed to delete the db cluster parameter group", &error, )) } if clean_up_errors.is_empty() { Ok(()) } else { Err(clean_up_errors) } } pub async fn delete_db_instance( &self, instance_identifier: &str, ) -> Result> { self.inner .delete_db_instance() .db_instance_identifier(instance_identifier) .skip_final_snapshot(true) .send() .await } #[tokio::test] async fn test_scenario_clean_up() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| Ok(DescribeDbInstancesOutput::builder().build())); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| Ok(DescribeDbClustersOutput::builder().build())); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_scenario_clean_up_errors() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| { Err(SdkError::service_error( DescribeDBInstancesError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db instances error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db clusters error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_err()); let errs = clean_up.unwrap_err(); assert_eq!(errs.len(), 2); assert_matches!(errs.first(), Some(ScenarioError {message, context: _}) if message == "Failed to check instance state during deletion"); assert_matches!(errs.get(1), Some(ScenarioError {message, context: _}) if message == "Failed to check cluster state during deletion"); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DeleteDBInstance](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.delete_db_instance)。 ### `DescribeDBClusterParameters` 以下程式碼範例顯示如何使用 `DescribeDBClusterParameters`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` // Get the parameter group. rds.DescribeDbClusterParameterGroups // Get parameters in the group. This is a long list so you will have to paginate. Find the auto_increment_offset and auto_increment_increment parameters (by ParameterName). rds.DescribeDbClusterParameters // Parse the ParameterName, Description, and AllowedValues values and display them. pub async fn cluster_parameters(&self) -> Result, ScenarioError> { let parameters_output = self .rds .describe_db_cluster_parameters(DB_CLUSTER_PARAMETER_GROUP_NAME) .await; if let Err(err) = parameters_output { return Err(ScenarioError::new( format!("Failed to retrieve parameters for {DB_CLUSTER_PARAMETER_GROUP_NAME}"), &err, )); } let parameters = parameters_output .unwrap() .into_iter() .flat_map(|p| p.parameters.unwrap_or_default().into_iter()) .filter(|p| FILTER_PARAMETER_NAMES.contains(p.parameter_name().unwrap_or_default())) .map(AuroraScenarioParameter::from) .collect::>(); Ok(parameters) } pub async fn describe_db_cluster_parameters( &self, name: &str, ) -> Result, SdkError> { self.inner .describe_db_cluster_parameters() .db_cluster_parameter_group_name(name) .into_paginator() .send() .try_collect() .await } #[tokio::test] async fn test_scenario_cluster_parameters() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_cluster_parameters() .with(eq("RustSDKCodeExamplesDBParameterGroup")) .return_once(|_| { Ok(vec![DescribeDbClusterParametersOutput::builder() .parameters(Parameter::builder().parameter_name("a").build()) .parameters(Parameter::builder().parameter_name("b").build()) .parameters( Parameter::builder() .parameter_name("auto_increment_offset") .build(), ) .parameters(Parameter::builder().parameter_name("c").build()) .parameters( Parameter::builder() .parameter_name("auto_increment_increment") .build(), ) .parameters(Parameter::builder().parameter_name("d").build()) .build()]) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("RustSDKCodeExamplesDBCluster".into()); let params = scenario.cluster_parameters().await.expect("cluster params"); let names: Vec = params.into_iter().map(|p| p.name).collect(); assert_eq!( names, vec!["auto_increment_offset", "auto_increment_increment"] ); } #[tokio::test] async fn test_scenario_cluster_parameters_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_cluster_parameters() .with(eq("RustSDKCodeExamplesDBParameterGroup")) .return_once(|_| { Err(SdkError::service_error( DescribeDBClusterParametersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe_db_cluster_parameters_error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some("RustSDKCodeExamplesDBCluster".into()); let params = scenario.cluster_parameters().await; assert_matches!(params, Err(ScenarioError { message, context: _ }) if message == "Failed to retrieve parameters for RustSDKCodeExamplesDBParameterGroup"); } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DescribeDBClusterParameters](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_cluster_parameters)。 ### `DescribeDBClusters` 以下程式碼範例顯示如何使用 `DescribeDBClusters`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` // Get a list of allowed engine versions. rds.DescribeDbEngineVersions(Engine='aurora-mysql', DBParameterGroupFamily=) // Create an Aurora DB cluster database cluster that contains a MySql database and uses the parameter group you created. // Wait for DB cluster to be ready. Call rds.DescribeDBClusters and check for Status == 'available'. // Get a list of instance classes available for the selected engine and engine version. rds.DescribeOrderableDbInstanceOptions(Engine='mysql', EngineVersion=). // Create a database instance in the cluster. // Wait for DB instance to be ready. Call rds.DescribeDbInstances and check for DBInstanceStatus == 'available'. pub async fn start_cluster_and_instance(&mut self) -> Result<(), ScenarioError> { if self.password.is_none() { return Err(ScenarioError::with( "Must set Secret Password before starting a cluster", )); } let create_db_cluster = self .rds .create_db_cluster( DB_CLUSTER_IDENTIFIER, DB_CLUSTER_PARAMETER_GROUP_NAME, DB_ENGINE, self.engine_version.as_deref().expect("engine version"), self.username.as_deref().expect("username"), self.password .replace(SecretString::new("".to_string())) .expect("password"), ) .await; if let Err(err) = create_db_cluster { return Err(ScenarioError::new( "Failed to create DB Cluster with cluster group", &err, )); } self.db_cluster_identifier = create_db_cluster .unwrap() .db_cluster .and_then(|c| c.db_cluster_identifier); if self.db_cluster_identifier.is_none() { return Err(ScenarioError::with("Created DB Cluster missing Identifier")); } info!( "Started a db cluster: {}", self.db_cluster_identifier .as_deref() .unwrap_or("Missing ARN") ); let create_db_instance = self .rds .create_db_instance( self.db_cluster_identifier.as_deref().expect("cluster name"), DB_INSTANCE_IDENTIFIER, self.instance_class.as_deref().expect("instance class"), DB_ENGINE, ) .await; if let Err(err) = create_db_instance { return Err(ScenarioError::new( "Failed to create Instance in DB Cluster", &err, )); } self.db_instance_identifier = create_db_instance .unwrap() .db_instance .and_then(|i| i.db_instance_identifier); // Cluster creation can take up to 20 minutes to become available let cluster_max_wait = Duration::from_secs(20 * 60); let waiter = Waiter::builder().max(cluster_max_wait).build(); while waiter.sleep().await.is_ok() { let cluster = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = cluster { warn!(?err, "Failed to describe cluster while waiting for ready"); continue; } let instance = self .rds .describe_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = instance { return Err(ScenarioError::new( "Failed to find instance for cluster", &err, )); } let instances_available = instance .unwrap() .db_instances() .iter() .all(|instance| instance.db_instance_status() == Some("Available")); let endpoints = self .rds .describe_db_cluster_endpoints( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = endpoints { return Err(ScenarioError::new( "Failed to find endpoint for cluster", &err, )); } let endpoints_available = endpoints .unwrap() .db_cluster_endpoints() .iter() .all(|endpoint| endpoint.status() == Some("available")); if instances_available && endpoints_available { return Ok(()); } } Err(ScenarioError::with("timed out waiting for cluster")) } pub async fn describe_db_clusters( &self, id: &str, ) -> Result> { self.inner .describe_db_clusters() .db_cluster_identifier(id) .send() .await } #[tokio::test] async fn test_start_cluster_and_instance() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_describe_db_instance() .with(eq("RustSDKCodeExamplesDBInstance")) .return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .with(eq("RustSDKCodeExamplesDBCluster")) .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); assert!(scenario .password .replace(SecretString::new("BAD SECRET".into())) .unwrap() .expose_secret() .is_empty()); assert_eq!( scenario.db_cluster_identifier, Some("RustSDKCodeExamplesDBCluster".into()) ); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Err(SdkError::service_error( CreateDBClusterError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _}) if message == "Failed to create DB Cluster with cluster group") } #[tokio::test] async fn test_start_cluster_and_instance_cluster_create_missing_id() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .return_once(|_, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context:_ }) if message == "Created DB Cluster missing Identifier"); } #[tokio::test] async fn test_start_cluster_and_instance_instance_create_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .return_once(|_, _, _, _| { Err(SdkError::service_error( CreateDBInstanceError::unhandled(Box::new(Error::new( ErrorKind::Other, "create db instance error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); let create = scenario.start_cluster_and_instance().await; assert_matches!(create, Err(ScenarioError { message, context: _ }) if message == "Failed to create Instance in DB Cluster") } #[tokio::test] async fn test_start_cluster_and_instance_wait_hiccup() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster() .withf(|id, params, engine, version, username, password| { assert_eq!(id, "RustSDKCodeExamplesDBCluster"); assert_eq!(params, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!(engine, "aurora-mysql"); assert_eq!(version, "aurora-mysql8.0"); assert_eq!(username, "test username"); assert_eq!(password.expose_secret(), "test password"); true }) .return_once(|id, _, _, _, _, _| { Ok(CreateDbClusterOutput::builder() .db_cluster(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds .expect_create_db_instance() .withf(|cluster, name, class, engine| { assert_eq!(cluster, "RustSDKCodeExamplesDBCluster"); assert_eq!(name, "RustSDKCodeExamplesDBInstance"); assert_eq!(class, "m5.large"); assert_eq!(engine, "aurora-mysql"); true }) .return_once(|cluster, name, class, _| { Ok(CreateDbInstanceOutput::builder() .db_instance( DbInstance::builder() .db_cluster_identifier(cluster) .db_instance_identifier(name) .db_instance_class(class) .build(), ) .build()) }); mock_rds .expect_describe_db_clusters() .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe cluster error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }) .with(eq("RustSDKCodeExamplesDBCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters(DbCluster::builder().db_cluster_identifier(id).build()) .build()) }); mock_rds.expect_describe_db_instance().return_once(|name| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_instance_identifier(name) .db_instance_status("Available") .build(), ) .build()) }); mock_rds .expect_describe_db_cluster_endpoints() .return_once(|_| { Ok(DescribeDbClusterEndpointsOutput::builder() .db_cluster_endpoints(DbClusterEndpoint::builder().status("available").build()) .build()) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_version = Some("aurora-mysql8.0".into()); scenario.instance_class = Some("m5.large".into()); scenario.username = Some("test username".into()); scenario.password = Some(SecretString::new("test password".into())); tokio::time::pause(); let assertions = tokio::spawn(async move { let create = scenario.start_cluster_and_instance().await; assert!(create.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; tokio::time::advance(Duration::from_secs(1)).await; tokio::time::resume(); let _ = assertions.await; } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DescribeDBClusters](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_clusters)。 ### `DescribeDBEngineVersions` 以下程式碼範例顯示如何使用 `DescribeDBEngineVersions`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` // Get available engine families for Aurora MySql. rds.DescribeDbEngineVersions(Engine='aurora-mysql') and build a set of the 'DBParameterGroupFamily' field values. I get {aurora-mysql8.0, aurora-mysql5.7}. pub async fn get_engines(&self) -> Result>, ScenarioError> { let describe_db_engine_versions = self.rds.describe_db_engine_versions(DB_ENGINE).await; trace!(versions=?describe_db_engine_versions, "full list of versions"); if let Err(err) = describe_db_engine_versions { return Err(ScenarioError::new( "Failed to retrieve DB Engine Versions", &err, )); }; let version_count = describe_db_engine_versions .as_ref() .map(|o| o.db_engine_versions().len()) .unwrap_or_default(); info!(version_count, "got list of versions"); // Create a map of engine families to their available versions. let mut versions = HashMap::>::new(); describe_db_engine_versions .unwrap() .db_engine_versions() .iter() .filter_map( |v| match (&v.db_parameter_group_family, &v.engine_version) { (Some(family), Some(version)) => Some((family.clone(), version.clone())), _ => None, }, ) .for_each(|(family, version)| versions.entry(family).or_default().push(version)); Ok(versions) } pub async fn describe_db_engine_versions( &self, engine: &str, ) -> Result> { self.inner .describe_db_engine_versions() .engine(engine) .send() .await } #[tokio::test] async fn test_scenario_get_engines() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_engine_versions() .with(eq("aurora-mysql")) .return_once(|_| { Ok(DescribeDbEngineVersionsOutput::builder() .db_engine_versions( DbEngineVersion::builder() .db_parameter_group_family("f1") .engine_version("f1a") .build(), ) .db_engine_versions( DbEngineVersion::builder() .db_parameter_group_family("f1") .engine_version("f1b") .build(), ) .db_engine_versions( DbEngineVersion::builder() .db_parameter_group_family("f2") .engine_version("f2a") .build(), ) .db_engine_versions(DbEngineVersion::builder().build()) .build()) }); let scenario = AuroraScenario::new(mock_rds); let versions_map = scenario.get_engines().await; assert_eq!( versions_map, Ok(HashMap::from([ ("f1".into(), vec!["f1a".into(), "f1b".into()]), ("f2".into(), vec!["f2a".into()]) ])) ); } #[tokio::test] async fn test_scenario_get_engines_failed() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_db_engine_versions() .with(eq("aurora-mysql")) .return_once(|_| { Err(SdkError::service_error( DescribeDBEngineVersionsError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe_db_engine_versions error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let scenario = AuroraScenario::new(mock_rds); let versions_map = scenario.get_engines().await; assert_matches!( versions_map, Err(ScenarioError { message, context: _ }) if message == "Failed to retrieve DB Engine Versions" ); } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DescribeDBEngineVersions](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_engine_versions)。 ### `DescribeDBInstances` 以下程式碼範例顯示如何使用 `DescribeDBInstances`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` pub async fn clean_up(self) -> Result<(), Vec> { let mut clean_up_errors: Vec = vec![]; // Delete the instance. rds.DeleteDbInstance. let delete_db_instance = self .rds .delete_db_instance( self.db_instance_identifier .as_deref() .expect("instance identifier"), ) .await; if let Err(err) = delete_db_instance { let identifier = self .db_instance_identifier .as_deref() .unwrap_or("Missing Instance Identifier"); let message = format!("failed to delete db instance {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance to delete let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_instances = self.rds.describe_db_instances().await; if let Err(err) = describe_db_instances { clean_up_errors.push(ScenarioError::new( "Failed to check instance state during deletion", &err, )); break; } let db_instances = describe_db_instances .unwrap() .db_instances() .iter() .filter(|instance| instance.db_cluster_identifier == self.db_cluster_identifier) .cloned() .collect::>(); if db_instances.is_empty() { trace!("Delete Instance waited and no instances were found"); break; } match db_instances.first().unwrap().db_instance_status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but instances is in {status}"); continue; } None => { warn!("No status for DB instance"); break; } } } } // Delete the DB cluster. rds.DeleteDbCluster. let delete_db_cluster = self .rds .delete_db_cluster( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = delete_db_cluster { let identifier = self .db_cluster_identifier .as_deref() .unwrap_or("Missing DB Cluster Identifier"); let message = format!("failed to delete db cluster {identifier}"); clean_up_errors.push(ScenarioError::new(message, &err)); } else { // Wait for the instance and cluster to fully delete. rds.DescribeDbInstances and rds.DescribeDbClusters until both are not found. let waiter = Waiter::default(); while waiter.sleep().await.is_ok() { let describe_db_clusters = self .rds .describe_db_clusters( self.db_cluster_identifier .as_deref() .expect("cluster identifier"), ) .await; if let Err(err) = describe_db_clusters { clean_up_errors.push(ScenarioError::new( "Failed to check cluster state during deletion", &err, )); break; } let describe_db_clusters = describe_db_clusters.unwrap(); let db_clusters = describe_db_clusters.db_clusters(); if db_clusters.is_empty() { trace!("Delete cluster waited and no clusters were found"); break; } match db_clusters.first().unwrap().status() { Some("Deleting") => continue, Some(status) => { info!("Attempting to delete but clusters is in {status}"); continue; } None => { warn!("No status for DB cluster"); break; } } } } // Delete the DB cluster parameter group. rds.DeleteDbClusterParameterGroup. let delete_db_cluster_parameter_group = self .rds .delete_db_cluster_parameter_group( self.db_cluster_parameter_group .map(|g| { g.db_cluster_parameter_group_name .unwrap_or_else(|| DB_CLUSTER_PARAMETER_GROUP_NAME.to_string()) }) .as_deref() .expect("cluster parameter group name"), ) .await; if let Err(error) = delete_db_cluster_parameter_group { clean_up_errors.push(ScenarioError::new( "Failed to delete the db cluster parameter group", &error, )) } if clean_up_errors.is_empty() { Ok(()) } else { Err(clean_up_errors) } } pub async fn describe_db_instances( &self, ) -> Result> { self.inner.describe_db_instances().send().await } #[tokio::test] async fn test_scenario_clean_up() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| Ok(DescribeDbInstancesOutput::builder().build())); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| Ok(DescribeDbClustersOutput::builder().build())); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_ok()); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } #[tokio::test] async fn test_scenario_clean_up_errors() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_delete_db_instance() .with(eq("MockInstance")) .return_once(|_| Ok(DeleteDbInstanceOutput::builder().build())); mock_rds .expect_describe_db_instances() .with() .times(1) .returning(|| { Ok(DescribeDbInstancesOutput::builder() .db_instances( DbInstance::builder() .db_cluster_identifier("MockCluster") .db_instance_status("Deleting") .build(), ) .build()) }) .with() .times(1) .returning(|| { Err(SdkError::service_error( DescribeDBInstancesError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db instances error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster() .with(eq("MockCluster")) .return_once(|_| Ok(DeleteDbClusterOutput::builder().build())); mock_rds .expect_describe_db_clusters() .with(eq("MockCluster")) .times(1) .returning(|id| { Ok(DescribeDbClustersOutput::builder() .db_clusters( DbCluster::builder() .db_cluster_identifier(id) .status("Deleting") .build(), ) .build()) }) .with(eq("MockCluster")) .times(1) .returning(|_| { Err(SdkError::service_error( DescribeDBClustersError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe db clusters error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); mock_rds .expect_delete_db_cluster_parameter_group() .with(eq("MockParamGroup")) .return_once(|_| Ok(DeleteDbClusterParameterGroupOutput::builder().build())); let mut scenario = AuroraScenario::new(mock_rds); scenario.db_cluster_identifier = Some(String::from("MockCluster")); scenario.db_instance_identifier = Some(String::from("MockInstance")); scenario.db_cluster_parameter_group = Some( DbClusterParameterGroup::builder() .db_cluster_parameter_group_name("MockParamGroup") .build(), ); tokio::time::pause(); let assertions = tokio::spawn(async move { let clean_up = scenario.clean_up().await; assert!(clean_up.is_err()); let errs = clean_up.unwrap_err(); assert_eq!(errs.len(), 2); assert_matches!(errs.first(), Some(ScenarioError {message, context: _}) if message == "Failed to check instance state during deletion"); assert_matches!(errs.get(1), Some(ScenarioError {message, context: _}) if message == "Failed to check cluster state during deletion"); }); tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Instances tokio::time::advance(Duration::from_secs(1)).await; // Wait for first Describe Cluster tokio::time::advance(Duration::from_secs(1)).await; // Wait for second Describe Cluster tokio::time::resume(); let _ = assertions.await; } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DescribeDBInstances](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_db_instances)。 ### `DescribeOrderableDBInstanceOptions` 以下程式碼範例顯示如何使用 `DescribeOrderableDBInstanceOptions`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` pub async fn get_instance_classes(&self) -> Result, ScenarioError> { let describe_orderable_db_instance_options_items = self .rds .describe_orderable_db_instance_options( DB_ENGINE, self.engine_version .as_ref() .expect("engine version for db instance options") .as_str(), ) .await; describe_orderable_db_instance_options_items .map(|options| { options .iter() .filter(|o| o.storage_type() == Some("aurora")) .map(|o| o.db_instance_class().unwrap_or_default().to_string()) .collect::>() }) .map_err(|err| ScenarioError::new("Could not get available instance classes", &err)) } pub async fn describe_orderable_db_instance_options( &self, engine: &str, engine_version: &str, ) -> Result, SdkError> { self.inner .describe_orderable_db_instance_options() .engine(engine) .engine_version(engine_version) .into_paginator() .items() .send() .try_collect() .await } #[tokio::test] async fn test_scenario_get_instance_classes() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_create_db_cluster_parameter_group() .return_once(|_, _, _| { Ok(CreateDbClusterParameterGroupOutput::builder() .db_cluster_parameter_group(DbClusterParameterGroup::builder().build()) .build()) }); mock_rds .expect_describe_orderable_db_instance_options() .with(eq("aurora-mysql"), eq("aurora-mysql8.0")) .return_once(|_, _| { Ok(vec![ OrderableDbInstanceOption::builder() .db_instance_class("t1") .storage_type("aurora") .build(), OrderableDbInstanceOption::builder() .db_instance_class("t1") .storage_type("aurora-iopt1") .build(), OrderableDbInstanceOption::builder() .db_instance_class("t2") .storage_type("aurora") .build(), OrderableDbInstanceOption::builder() .db_instance_class("t3") .storage_type("aurora") .build(), ]) }); let mut scenario = AuroraScenario::new(mock_rds); scenario .set_engine("aurora-mysql", "aurora-mysql8.0") .await .expect("set engine"); let instance_classes = scenario.get_instance_classes().await; assert_eq!( instance_classes, Ok(vec!["t1".into(), "t2".into(), "t3".into()]) ); } #[tokio::test] async fn test_scenario_get_instance_classes_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_describe_orderable_db_instance_options() .with(eq("aurora-mysql"), eq("aurora-mysql8.0")) .return_once(|_, _| { Err(SdkError::service_error( DescribeOrderableDBInstanceOptionsError::unhandled(Box::new(Error::new( ErrorKind::Other, "describe_orderable_db_instance_options_error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let mut scenario = AuroraScenario::new(mock_rds); scenario.engine_family = Some("aurora-mysql".into()); scenario.engine_version = Some("aurora-mysql8.0".into()); let instance_classes = scenario.get_instance_classes().await; assert_matches!( instance_classes, Err(ScenarioError {message, context: _}) if message == "Could not get available instance classes" ); } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DescribeOrderableDBInstanceOptions](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.describe_orderable_db_instance_options)。 ### `ModifyDBClusterParameterGroup` 以下程式碼範例顯示如何使用 `ModifyDBClusterParameterGroup`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/aurora#code-examples)中設定和執行。 ``` // Modify both the auto_increment_offset and auto_increment_increment parameters in one call in the custom parameter group. Set their ParameterValue fields to a new allowable value. rds.ModifyDbClusterParameterGroup. pub async fn update_auto_increment( &self, offset: u8, increment: u8, ) -> Result<(), ScenarioError> { let modify_db_cluster_parameter_group = self .rds .modify_db_cluster_parameter_group( DB_CLUSTER_PARAMETER_GROUP_NAME, vec![ Parameter::builder() .parameter_name("auto_increment_offset") .parameter_value(format!("{offset}")) .apply_method(aws_sdk_rds::types::ApplyMethod::Immediate) .build(), Parameter::builder() .parameter_name("auto_increment_increment") .parameter_value(format!("{increment}")) .apply_method(aws_sdk_rds::types::ApplyMethod::Immediate) .build(), ], ) .await; if let Err(error) = modify_db_cluster_parameter_group { return Err(ScenarioError::new( "Failed to modify cluster parameter group", &error, )); } Ok(()) } pub async fn modify_db_cluster_parameter_group( &self, name: &str, parameters: Vec, ) -> Result> { self.inner .modify_db_cluster_parameter_group() .db_cluster_parameter_group_name(name) .set_parameters(Some(parameters)) .send() .await } #[tokio::test] async fn test_scenario_update_auto_increment() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_modify_db_cluster_parameter_group() .withf(|name, params| { assert_eq!(name, "RustSDKCodeExamplesDBParameterGroup"); assert_eq!( params, &vec![ Parameter::builder() .parameter_name("auto_increment_offset") .parameter_value("10") .apply_method(aws_sdk_rds::types::ApplyMethod::Immediate) .build(), Parameter::builder() .parameter_name("auto_increment_increment") .parameter_value("20") .apply_method(aws_sdk_rds::types::ApplyMethod::Immediate) .build(), ] ); true }) .return_once(|_, _| Ok(ModifyDbClusterParameterGroupOutput::builder().build())); let scenario = AuroraScenario::new(mock_rds); scenario .update_auto_increment(10, 20) .await .expect("update auto increment"); } #[tokio::test] async fn test_scenario_update_auto_increment_error() { let mut mock_rds = MockRdsImpl::default(); mock_rds .expect_modify_db_cluster_parameter_group() .return_once(|_, _| { Err(SdkError::service_error( ModifyDBClusterParameterGroupError::unhandled(Box::new(Error::new( ErrorKind::Other, "modify_db_cluster_parameter_group_error", ))), Response::new(StatusCode::try_from(400).unwrap(), SdkBody::empty()), )) }); let scenario = AuroraScenario::new(mock_rds); let update = scenario.update_auto_increment(10, 20).await; assert_matches!(update, Err(ScenarioError { message, context: _}) if message == "Failed to modify cluster parameter group"); } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [ModifyDBClusterParameterGroup](https://docs.rs/aws-sdk-rds/latest/aws_sdk_rds/client/struct.Client.html#method.modify_db_cluster_parameter_group)。 # 使用 SDK for Rust 的 Auto Scaling 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Auto Scaling 來執行動作和實作常見案例。 *基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [開始使用](#get_started) + [基本概念](#basics) + [動作](#actions) ## 開始使用 ### Hello Auto Scaling 下列程式碼範例示範如何開始使用 Auto Scaling。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` async fn list_groups(client: &Client) -> Result<(), Error> { let resp = client.describe_auto_scaling_groups().send().await?; println!("Groups:"); let groups = resp.auto_scaling_groups(); for group in groups { println!( "Name: {}", group.auto_scaling_group_name().unwrap_or("Unknown") ); println!( "Arn: {}", group.auto_scaling_group_arn().unwrap_or("unknown"), ); println!("Zones: {:?}", group.availability_zones(),); println!(); } println!("Found {} group(s)", groups.len()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeAutoScalingGroups](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.describe_auto_scaling_groups)。 ## 基本概念 ### 了解基本概念 以下程式碼範例顯示做法： + 以啟動範本和可用區域建立 Amazon EC2 Auto Scaling 群組，並取得有關執行中執行個體的相關資訊。 + 啟用 Amazon CloudWatch 指標收集。 + 更新群組所需的容量，並等待執行個體啟動。 + 終止群組中的執行個體。 + 列出為因應使用者請求和容量變更而發生的擴展活動。 + 取得 CloudWatch 指標的統計資料，然後清除資源。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` [package] name = "autoscaling-code-examples" version = "0.1.0" authors = ["Doug Schwartz ", "David Souther "] edition = "2021" # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html [dependencies] aws-config = { version = "1.0.1", features = ["behavior-version-latest"] } aws-sdk-autoscaling = { version = "1.3.0" } aws-sdk-ec2 = { version = "1.3.0" } aws-types = { version = "1.0.1" } tokio = { version = "1.20.1", features = ["full"] } clap = { version = "4.4", features = ["derive"] } tracing-subscriber = { version = "0.3.15", features = ["env-filter"] } anyhow = "1.0.75" tracing = "0.1.37" tokio-stream = "0.1.14" use std::{collections::BTreeSet, fmt::Display}; use anyhow::anyhow; use autoscaling_code_examples::scenario::{AutoScalingScenario, ScenarioError}; use tracing::{info, warn}; async fn show_scenario_description(scenario: &AutoScalingScenario, event: &str) { let description = scenario.describe_scenario().await; info!("DescribeAutoScalingInstances: {event}\n{description}"); } #[derive(Default, Debug)] struct Warnings(Vec); impl Warnings { pub fn push(&mut self, warning: &str, error: ScenarioError) { let formatted = format!("{warning}: {error}"); warn!("{formatted}"); self.0.push(formatted); } pub fn is_empty(&self) -> bool { self.0.is_empty() } } impl Display for Warnings { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { writeln!(f, "Warnings:")?; for warning in &self.0 { writeln!(f, "{: >4}- {warning}", "")?; } Ok(()) } } #[tokio::main] async fn main() -> Result<(), anyhow::Error> { tracing_subscriber::fmt::init(); let shared_config = aws_config::from_env().load().await; let mut warnings = Warnings::default(); // 1. Create an EC2 launch template that you'll use to create an auto scaling group. Bonus: use SDK with EC2.CreateLaunchTemplate to create the launch template. // 2. CreateAutoScalingGroup: pass it the launch template you created in step 0. Give it min/max of 1 instance. // 4. EnableMetricsCollection: enable all metrics or a subset. let scenario = match AutoScalingScenario::prepare_scenario(&shared_config).await { Ok(scenario) => scenario, Err(errs) => { let err_str = errs .into_iter() .map(|e| e.to_string()) .collect::>() .join(", "); return Err(anyhow!("Failed to initialize scenario: {err_str}")); } }; info!("Prepared autoscaling scenario:\n{scenario}"); let stable = scenario.wait_for_stable(1).await; if let Err(err) = stable { warnings.push( "There was a problem while waiting for group to be stable", err, ); } // 3. DescribeAutoScalingInstances: show that one instance has launched. show_scenario_description( &scenario, "show that the group was created and one instance has launched", ) .await; // 5. UpdateAutoScalingGroup: update max size to 3. let scale_max_size = scenario.scale_max_size(3).await; if let Err(err) = scale_max_size { warnings.push("There was a problem scaling max size", err); } // 6. DescribeAutoScalingGroups: the current state of the group show_scenario_description( &scenario, "show the current state of the group after setting max size", ) .await; // 7. SetDesiredCapacity: set desired capacity to 2. let scale_desired_capacity = scenario.scale_desired_capacity(2).await; if let Err(err) = scale_desired_capacity { warnings.push("There was a problem setting desired capacity", err); } // Wait for a second instance to launch. let stable = scenario.wait_for_stable(2).await; if let Err(err) = stable { warnings.push( "There was a problem while waiting for group to be stable", err, ); } // 8. DescribeAutoScalingInstances: show that two instances are launched. show_scenario_description( &scenario, "show that two instances are launched after setting desired capacity", ) .await; let ids_before = scenario .list_instances() .await .map(|v| v.into_iter().collect::>()) .unwrap_or_default(); // 9. TerminateInstanceInAutoScalingGroup: terminate one of the instances in the group. let terminate_some_instance = scenario.terminate_some_instance().await; if let Err(err) = terminate_some_instance { warnings.push("There was a problem replacing an instance", err); } let wait_after_terminate = scenario.wait_for_stable(1).await; if let Err(err) = wait_after_terminate { warnings.push( "There was a problem waiting after terminating an instance", err, ); } let wait_scale_up_after_terminate = scenario.wait_for_stable(2).await; if let Err(err) = wait_scale_up_after_terminate { warnings.push( "There was a problem waiting for scale up after terminating an instance", err, ); } let ids_after = scenario .list_instances() .await .map(|v| v.into_iter().collect::>()) .unwrap_or_default(); let difference = ids_after.intersection(&ids_before).count(); if !(difference == 1 && ids_before.len() == 2 && ids_after.len() == 2) { warnings.push( "Before and after set not different", ScenarioError::with(format!("{difference}")), ); } // 10. DescribeScalingActivities: list the scaling activities that have occurred for the group so far. show_scenario_description( &scenario, "list the scaling activities that have occurred for the group so far", ) .await; // 11. DisableMetricsCollection let scale_group = scenario.scale_group_to_zero().await; if let Err(err) = scale_group { warnings.push("There was a problem scaling the group to 0", err); } show_scenario_description(&scenario, "Scenario scaled to 0").await; // 12. DeleteAutoScalingGroup (to delete the group you must stop all instances): // 13. Delete LaunchTemplate. let clean_scenario = scenario.clean_scenario().await; if let Err(errs) = clean_scenario { for err in errs { warnings.push("There was a problem cleaning the scenario", err); } } else { info!("The scenario has been cleaned up!"); } if warnings.is_empty() { Ok(()) } else { Err(anyhow!( "There were warnings during scenario execution:\n{warnings}" )) } } pub mod scenario; use std::{ error::Error, fmt::{Debug, Display}, time::{Duration, SystemTime}, }; use anyhow::anyhow; use aws_config::SdkConfig; use aws_sdk_autoscaling::{ error::{DisplayErrorContext, ProvideErrorMetadata}, types::{Activity, AutoScalingGroup, LaunchTemplateSpecification}, }; use aws_sdk_ec2::types::RequestLaunchTemplateData; use tracing::trace; const LAUNCH_TEMPLATE_NAME: &str = "SDK_Code_Examples_EC2_Autoscaling_template_from_Rust_SDK"; const AUTOSCALING_GROUP_NAME: &str = "SDK_Code_Examples_EC2_Autoscaling_Group_from_Rust_SDK"; const MAX_WAIT: Duration = Duration::from_secs(5 * 60); // Wait at most 25 seconds. const WAIT_TIME: Duration = Duration::from_millis(500); // Wait half a second at a time. struct Waiter { start: SystemTime, max: Duration, } impl Waiter { fn new() -> Self { Waiter { start: SystemTime::now(), max: MAX_WAIT, } } async fn sleep(&self) -> Result<(), ScenarioError> { if SystemTime::now() .duration_since(self.start) .unwrap_or(Duration::MAX) > self.max { Err(ScenarioError::with( "Exceeded maximum wait duration for stable group", )) } else { tokio::time::sleep(WAIT_TIME).await; Ok(()) } } } pub struct AutoScalingScenario { ec2: aws_sdk_ec2::Client, autoscaling: aws_sdk_autoscaling::Client, launch_template_arn: String, auto_scaling_group_name: String, } impl Display for AutoScalingScenario { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { f.write_fmt(format_args!( "\tLaunch Template ID: {}\n", self.launch_template_arn ))?; f.write_fmt(format_args!( "\tScaling Group Name: {}\n", self.auto_scaling_group_name ))?; Ok(()) } } pub struct AutoScalingScenarioDescription { group: Result, ScenarioError>, instances: Result, anyhow::Error>, activities: Result, anyhow::Error>, } impl Display for AutoScalingScenarioDescription { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { writeln!(f, "\t Group status:")?; match &self.group { Ok(groups) => { for status in groups { writeln!(f, "\t\t- {status}")?; } } Err(e) => writeln!(f, "\t\t! - {e}")?, } writeln!(f, "\t Instances:")?; match &self.instances { Ok(instances) => { for instance in instances { writeln!(f, "\t\t- {instance}")?; } } Err(e) => writeln!(f, "\t\t! {e}")?, } writeln!(f, "\t Activities:")?; match &self.activities { Ok(activities) => { for activity in activities { writeln!( f, "\t\t- {} Progress: {}% Status: {:?} End: {:?}", activity.cause().unwrap_or("Unknown"), activity.progress.unwrap_or(-1), activity.status_code(), // activity.status_message().unwrap_or_default() activity.end_time(), )?; } } Err(e) => writeln!(f, "\t\t! {e}")?, } Ok(()) } } #[derive(Debug)] struct MetadataError { message: Option, code: Option, } impl MetadataError { fn from(err: &dyn ProvideErrorMetadata) -> Self { MetadataError { message: err.message().map(|s| s.to_string()), code: err.code().map(|s| s.to_string()), } } } impl Display for MetadataError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { let display = match (&self.message, &self.code) { (None, None) => "Unknown".to_string(), (None, Some(code)) => format!("({code})"), (Some(message), None) => message.to_string(), (Some(message), Some(code)) => format!("{message} ({code})"), }; write!(f, "{display}") } } #[derive(Debug)] pub struct ScenarioError { message: String, context: Option, } impl ScenarioError { pub fn with(message: impl Into) -> Self { ScenarioError { message: message.into(), context: None, } } pub fn new(message: impl Into, err: &dyn ProvideErrorMetadata) -> Self { ScenarioError { message: message.into(), context: Some(MetadataError::from(err)), } } } impl Error for ScenarioError { // While `Error` can capture `source` information about the underlying error, for this example // the ScenarioError captures the underlying information in MetadataError and treats it as a // single Error from this Crate. In other contexts, it may be appropriate to model the error // as including the SdkError as its source. } impl Display for ScenarioError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { match &self.context { Some(c) => write!(f, "{}: {}", self.message, c), None => write!(f, "{}", self.message), } } } impl AutoScalingScenario { pub async fn prepare_scenario(sdk_config: &SdkConfig) -> Result> { let ec2 = aws_sdk_ec2::Client::new(sdk_config); let autoscaling = aws_sdk_autoscaling::Client::new(sdk_config); let auto_scaling_group_name = String::from(AUTOSCALING_GROUP_NAME); // Before creating any resources, prepare the list of AZs let availablity_zones = ec2.describe_availability_zones().send().await; if let Err(err) = availablity_zones { return Err(vec![ScenarioError::new("Failed to find AZs", &err)]); } let availability_zones: Vec = availablity_zones .unwrap() .availability_zones .unwrap_or_default() .iter() .take(3) .map(|z| z.zone_name.clone().unwrap()) .collect(); // 1. Create an EC2 launch template that you'll use to create an auto scaling group. Bonus: use SDK with EC2.CreateLaunchTemplate to create the launch template. // * Recommended: InstanceType='t1.micro', ImageId='ami-0ca285d4c2cda3300' let create_launch_template = ec2 .create_launch_template() .launch_template_name(LAUNCH_TEMPLATE_NAME) .launch_template_data( RequestLaunchTemplateData::builder() .instance_type(aws_sdk_ec2::types::InstanceType::T1Micro) .image_id("ami-0ca285d4c2cda3300") .build(), ) .send() .await .map_err(|err| vec![ScenarioError::new("Failed to create launch template", &err)])?; let launch_template_arn = match create_launch_template.launch_template { Some(launch_template) => launch_template.launch_template_id.unwrap_or_default(), None => { // Try to delete the launch template let _ = ec2 .delete_launch_template() .launch_template_name(LAUNCH_TEMPLATE_NAME) .send() .await; return Err(vec![ScenarioError::with("Failed to load launch template")]); } }; // 2. CreateAutoScalingGroup: pass it the launch template you created in step 0. Give it min/max of 1 instance. // You can use EC2.describe_availability_zones() to get a list of AZs (you have to specify an AZ when you create the group). // Wait for instance to launch. Use a waiter if you have one, otherwise DescribeAutoScalingInstances until LifecycleState='InService' if let Err(err) = autoscaling .create_auto_scaling_group() .auto_scaling_group_name(auto_scaling_group_name.as_str()) .launch_template( LaunchTemplateSpecification::builder() .launch_template_id(launch_template_arn.clone()) .version("$Latest") .build(), ) .max_size(1) .min_size(1) .set_availability_zones(Some(availability_zones)) .send() .await { let mut errs = vec![ScenarioError::new( "Failed to create autoscaling group", &err, )]; if let Err(err) = autoscaling .delete_auto_scaling_group() .auto_scaling_group_name(auto_scaling_group_name.as_str()) .send() .await { errs.push(ScenarioError::new( "Failed to clean up autoscaling group", &err, )); } if let Err(err) = ec2 .delete_launch_template() .launch_template_id(launch_template_arn.clone()) .send() .await { errs.push(ScenarioError::new( "Failed to clean up launch template", &err, )); } return Err(errs); } let scenario = AutoScalingScenario { ec2, autoscaling: autoscaling.clone(), // Clients are cheap so cloning here to prevent a move is ok. auto_scaling_group_name: auto_scaling_group_name.clone(), launch_template_arn, }; let enable_metrics_collection = autoscaling .enable_metrics_collection() .auto_scaling_group_name(auto_scaling_group_name.as_str()) .granularity("1Minute") .set_metrics(Some(vec![ String::from("GroupMinSize"), String::from("GroupMaxSize"), String::from("GroupDesiredCapacity"), String::from("GroupInServiceInstances"), String::from("GroupTotalInstances"), ])) .send() .await; match enable_metrics_collection { Ok(_) => Ok(scenario), Err(err) => { scenario.clean_scenario().await?; Err(vec![ScenarioError::new( "Failed to enable metrics collections for group", &err, )]) } } } pub async fn clean_scenario(self) -> Result<(), Vec> { let _ = self.wait_for_no_scaling().await; let delete_group = self .autoscaling .delete_auto_scaling_group() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .send() .await; // 14. Delete LaunchTemplate. let delete_launch_template = self .ec2 .delete_launch_template() .launch_template_id(self.launch_template_arn.clone()) .send() .await; let early_exit = match (delete_group, delete_launch_template) { (Ok(_), Ok(_)) => Ok(()), (Ok(_), Err(e)) => Err(vec![ScenarioError::new( "There was an error cleaning the launch template", &e, )]), (Err(e), Ok(_)) => Err(vec![ScenarioError::new( "There was an error cleaning the scale group", &e, )]), (Err(e1), Err(e2)) => Err(vec![ ScenarioError::new("Multiple error cleaning the scenario Scale Group", &e1), ScenarioError::new("Multiple error cleaning the scenario Launch Template", &e2), ]), }; if early_exit.is_err() { early_exit } else { // Wait for delete_group to finish let waiter = Waiter::new(); let mut errors = Vec::::new(); while errors.len() < 3 { if let Err(e) = waiter.sleep().await { errors.push(e); continue; } let describe_group = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await; match describe_group { Ok(group) => match group.auto_scaling_groups().first() { Some(group) => { if group.status() != Some("Delete in progress") { errors.push(ScenarioError::with(format!( "Group in an unknown state while deleting: {}", group.status().unwrap_or("unknown error") ))); return Err(errors); } } None => return Ok(()), }, Err(err) => { errors.push(ScenarioError::new("Failed to describe autoscaling group during cleanup 3 times, last error", &err)); } } if errors.len() > 3 { return Err(errors); } } Err(vec![ScenarioError::with( "Exited cleanup wait loop without retuning success or failing after three rounds", )]) } } pub async fn describe_scenario(&self) -> AutoScalingScenarioDescription { let group = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await .map(|s| { s.auto_scaling_groups() .iter() .map(|s| { format!( "{}: {}", s.auto_scaling_group_name().unwrap_or("Unknown"), s.status().unwrap_or("Unknown") ) }) .collect::>() }) .map_err(|e| { ScenarioError::new("Failed to describe auto scaling groups for scenario", &e) }); let instances = self .list_instances() .await .map_err(|e| anyhow!("There was an error listing instances: {e}",)); // 10. DescribeScalingActivities: list the scaling activities that have occurred for the group so far. // Bonus: use CloudWatch API to get and show some metrics collected for the group. // CW.ListMetrics with Namespace='AWS/AutoScaling' and Dimensions=[{'Name': 'AutoScalingGroupName', 'Value': }] // CW.GetMetricStatistics with Statistics='Sum'. Start and End times must be in UTC! let activities = self .autoscaling .describe_scaling_activities() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .into_paginator() .items() .send() .collect::, _>>() .await .map_err(|e| { anyhow!( "There was an error retrieving scaling activities: {}", DisplayErrorContext(&e) ) }); AutoScalingScenarioDescription { group, instances, activities, } } async fn get_group(&self) -> Result { let describe_auto_scaling_groups = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await; if let Err(err) = describe_auto_scaling_groups { return Err(ScenarioError::new( format!( "Failed to get status of autoscaling group {}", self.auto_scaling_group_name.clone() ) .as_str(), &err, )); } let describe_auto_scaling_groups_output = describe_auto_scaling_groups.unwrap(); let auto_scaling_groups = describe_auto_scaling_groups_output.auto_scaling_groups(); let auto_scaling_group = auto_scaling_groups.first(); if auto_scaling_group.is_none() { return Err(ScenarioError::with(format!( "Could not find autoscaling group {}", self.auto_scaling_group_name.clone() ))); } Ok(auto_scaling_group.unwrap().clone()) } pub async fn wait_for_no_scaling(&self) -> Result<(), ScenarioError> { let waiter = Waiter::new(); let mut scaling = true; while scaling { waiter.sleep().await?; let describe_activities = self .autoscaling .describe_scaling_activities() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .send() .await .map_err(|e| { ScenarioError::new("Failed to get autoscaling activities for group", &e) })?; let activities = describe_activities.activities(); trace!( "Waiting for no scaling found {} activities", activities.len() ); scaling = activities.iter().any(|a| a.progress() < Some(100)); } Ok(()) } pub async fn wait_for_stable(&self, size: usize) -> Result<(), ScenarioError> { self.wait_for_no_scaling().await?; let mut group = self.get_group().await?; let mut count = count_group_instances(&group); let waiter = Waiter::new(); while count != size { trace!("Waiting for stable {size} (current: {count})"); waiter.sleep().await?; group = self.get_group().await?; count = count_group_instances(&group); } Ok(()) } pub async fn list_instances(&self) -> Result, ScenarioError> { // The direct way to list instances is by using DescribeAutoScalingGroup's instances property. However, this returns a Vec, as opposed to a Vec. // Ok(self.get_group().await?.instances.unwrap_or_default().map(|i| i.instance_id.clone().unwrap_or_default()).filter(|id| !id.is_empty()).collect()) // Alternatively, and for the sake of example, DescribeAutoScalingInstances returns a list that can be filtered by the client. self.autoscaling .describe_auto_scaling_instances() .into_paginator() .items() .send() .try_collect() .await .map(|items| { items .into_iter() .filter(|i| { i.auto_scaling_group_name.as_deref() == Some(self.auto_scaling_group_name.as_str()) }) .map(|i| i.instance_id.unwrap_or_default()) .filter(|id| !id.is_empty()) .collect::>() }) .map_err(|err| ScenarioError::new("Failed to get list of auto scaling instances", &err)) } pub async fn scale_min_size(&self, size: i32) -> Result<(), ScenarioError> { let update_group = self .autoscaling .update_auto_scaling_group() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .min_size(size) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( format!("Failer to update group to min size ({size}))").as_str(), &err, )); } Ok(()) } pub async fn scale_max_size(&self, size: i32) -> Result<(), ScenarioError> { // 5. UpdateAutoScalingGroup: update max size to 3. let update_group = self .autoscaling .update_auto_scaling_group() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .max_size(size) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( format!("Failed to update group to max size ({size})").as_str(), &err, )); } Ok(()) } pub async fn scale_desired_capacity(&self, capacity: i32) -> Result<(), ScenarioError> { // 7. SetDesiredCapacity: set desired capacity to 2. // Wait for a second instance to launch. let update_group = self .autoscaling .set_desired_capacity() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .desired_capacity(capacity) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( format!("Failed to update group to desired capacity ({capacity}))").as_str(), &err, )); } Ok(()) } pub async fn scale_group_to_zero(&self) -> Result<(), ScenarioError> { // If this fails it's fine, just means there are extra cloudwatch metrics events for the scale-down. let _ = self .autoscaling .disable_metrics_collection() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .send() .await; // 12. DeleteAutoScalingGroup (to delete the group you must stop all instances): // UpdateAutoScalingGroup with MinSize=0 let update_group = self .autoscaling .update_auto_scaling_group() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .min_size(0) .desired_capacity(0) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( "Failed to update group for scaling down&", &err, )); } let stable = self.wait_for_stable(0).await; if let Err(err) = stable { return Err(ScenarioError::with(format!( "Error while waiting for group to be stable on scale down: {err}" ))); } Ok(()) } pub async fn terminate_some_instance(&self) -> Result<(), ScenarioError> { // Retrieve a list of instances in the auto scaling group. let auto_scaling_group = self.get_group().await?; let instances = auto_scaling_group.instances(); // Or use other logic to find an instance to terminate. let instance = instances.first(); if let Some(instance) = instance { let instance_id = if let Some(instance_id) = instance.instance_id() { instance_id } else { return Err(ScenarioError::with("Missing instance id")); }; let termination = self .ec2 .terminate_instances() .instance_ids(instance_id) .send() .await; if let Err(err) = termination { Err(ScenarioError::new( "There was a problem terminating an instance", &err, )) } else { Ok(()) } } else { Err(ScenarioError::with("There was no instance to terminate")) } } } fn count_group_instances(group: &AutoScalingGroup) -> usize { group.instances.as_ref().map(|i| i.len()).unwrap_or(0) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的下列主題。 + [CreateAutoScalingGroup](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.create_auto_scaling_group) + [DeleteAutoScalingGroup](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.delete_auto_scaling_group) + [DescribeAutoScalingGroups](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.describe_auto_scaling_groups) + [DescribeAutoScalingInstances](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.describe_auto_scaling_instances) + [DescribeScalingActivities](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.describe_scaling_activities) + [DisableMetricsCollection](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.disable_metrics_collection) + [EnableMetricsCollection](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.enable_metrics_collection) + [SetDesiredCapacity](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.set_desired_capacity) + [TerminateInstanceInAutoScalingGroup](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.terminate_instance_in_auto_scaling_group) + [UpdateAutoScalingGroup](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.update_auto_scaling_group) ## 動作 ### `CreateAutoScalingGroup` 以下程式碼範例顯示如何使用 `CreateAutoScalingGroup`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` async fn create_group(client: &Client, name: &str, id: &str) -> Result<(), Error> { client .create_auto_scaling_group() .auto_scaling_group_name(name) .instance_id(id) .min_size(1) .max_size(5) .send() .await?; println!("Created AutoScaling group"); Ok(()) } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [CreateAutoScalingGroup](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.create_auto_scaling_group)。 ### `DeleteAutoScalingGroup` 以下程式碼範例顯示如何使用 `DeleteAutoScalingGroup`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` async fn delete_group(client: &Client, name: &str, force: bool) -> Result<(), Error> { client .delete_auto_scaling_group() .auto_scaling_group_name(name) .set_force_delete(if force { Some(true) } else { None }) .send() .await?; println!("Deleted Auto Scaling group"); Ok(()) } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [DeleteAutoScalingGroup](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.delete_auto_scaling_group)。 ### `DescribeAutoScalingGroups` 以下程式碼範例顯示如何使用 `DescribeAutoScalingGroups`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` async fn list_groups(client: &Client) -> Result<(), Error> { let resp = client.describe_auto_scaling_groups().send().await?; println!("Groups:"); let groups = resp.auto_scaling_groups(); for group in groups { println!( "Name: {}", group.auto_scaling_group_name().unwrap_or("Unknown") ); println!( "Arn: {}", group.auto_scaling_group_arn().unwrap_or("unknown"), ); println!("Zones: {:?}", group.availability_zones(),); println!(); } println!("Found {} group(s)", groups.len()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeAutoScalingGroups](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.describe_auto_scaling_groups)。 ### `DescribeAutoScalingInstances` 以下程式碼範例顯示如何使用 `DescribeAutoScalingInstances`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` pub async fn list_instances(&self) -> Result, ScenarioError> { // The direct way to list instances is by using DescribeAutoScalingGroup's instances property. However, this returns a Vec, as opposed to a Vec. // Ok(self.get_group().await?.instances.unwrap_or_default().map(|i| i.instance_id.clone().unwrap_or_default()).filter(|id| !id.is_empty()).collect()) // Alternatively, and for the sake of example, DescribeAutoScalingInstances returns a list that can be filtered by the client. self.autoscaling .describe_auto_scaling_instances() .into_paginator() .items() .send() .try_collect() .await .map(|items| { items .into_iter() .filter(|i| { i.auto_scaling_group_name.as_deref() == Some(self.auto_scaling_group_name.as_str()) }) .map(|i| i.instance_id.unwrap_or_default()) .filter(|id| !id.is_empty()) .collect::>() }) .map_err(|err| ScenarioError::new("Failed to get list of auto scaling instances", &err)) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeAutoScalingInstances](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.describe_auto_scaling_instances)。 ### `DescribeScalingActivities` 以下程式碼範例顯示如何使用 `DescribeScalingActivities`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` pub async fn describe_scenario(&self) -> AutoScalingScenarioDescription { let group = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await .map(|s| { s.auto_scaling_groups() .iter() .map(|s| { format!( "{}: {}", s.auto_scaling_group_name().unwrap_or("Unknown"), s.status().unwrap_or("Unknown") ) }) .collect::>() }) .map_err(|e| { ScenarioError::new("Failed to describe auto scaling groups for scenario", &e) }); let instances = self .list_instances() .await .map_err(|e| anyhow!("There was an error listing instances: {e}",)); // 10. DescribeScalingActivities: list the scaling activities that have occurred for the group so far. // Bonus: use CloudWatch API to get and show some metrics collected for the group. // CW.ListMetrics with Namespace='AWS/AutoScaling' and Dimensions=[{'Name': 'AutoScalingGroupName', 'Value': }] // CW.GetMetricStatistics with Statistics='Sum'. Start and End times must be in UTC! let activities = self .autoscaling .describe_scaling_activities() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .into_paginator() .items() .send() .collect::, _>>() .await .map_err(|e| { anyhow!( "There was an error retrieving scaling activities: {}", DisplayErrorContext(&e) ) }); AutoScalingScenarioDescription { group, instances, activities, } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeScalingActivities](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.describe_scaling_activities)。 ### `DisableMetricsCollection` 以下程式碼範例顯示如何使用 `DisableMetricsCollection`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` // If this fails it's fine, just means there are extra cloudwatch metrics events for the scale-down. let _ = self .autoscaling .disable_metrics_collection() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .send() .await; ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DisableMetricsCollection](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.disable_metrics_collection)。 ### `EnableMetricsCollection` 以下程式碼範例顯示如何使用 `EnableMetricsCollection`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` let enable_metrics_collection = autoscaling .enable_metrics_collection() .auto_scaling_group_name(auto_scaling_group_name.as_str()) .granularity("1Minute") .set_metrics(Some(vec![ String::from("GroupMinSize"), String::from("GroupMaxSize"), String::from("GroupDesiredCapacity"), String::from("GroupInServiceInstances"), String::from("GroupTotalInstances"), ])) .send() .await; ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [EnableMetricsCollection](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.enable_metrics_collection)。 ### `SetDesiredCapacity` 以下程式碼範例顯示如何使用 `SetDesiredCapacity`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` pub async fn scale_desired_capacity(&self, capacity: i32) -> Result<(), ScenarioError> { // 7. SetDesiredCapacity: set desired capacity to 2. // Wait for a second instance to launch. let update_group = self .autoscaling .set_desired_capacity() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .desired_capacity(capacity) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( format!("Failed to update group to desired capacity ({capacity}))").as_str(), &err, )); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [SetDesiredCapacity](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.set_desired_capacity)。 ### `TerminateInstanceInAutoScalingGroup` 以下程式碼範例顯示如何使用 `TerminateInstanceInAutoScalingGroup`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` pub async fn terminate_some_instance(&self) -> Result<(), ScenarioError> { // Retrieve a list of instances in the auto scaling group. let auto_scaling_group = self.get_group().await?; let instances = auto_scaling_group.instances(); // Or use other logic to find an instance to terminate. let instance = instances.first(); if let Some(instance) = instance { let instance_id = if let Some(instance_id) = instance.instance_id() { instance_id } else { return Err(ScenarioError::with("Missing instance id")); }; let termination = self .ec2 .terminate_instances() .instance_ids(instance_id) .send() .await; if let Err(err) = termination { Err(ScenarioError::new( "There was a problem terminating an instance", &err, )) } else { Ok(()) } } else { Err(ScenarioError::with("There was no instance to terminate")) } } async fn get_group(&self) -> Result { let describe_auto_scaling_groups = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await; if let Err(err) = describe_auto_scaling_groups { return Err(ScenarioError::new( format!( "Failed to get status of autoscaling group {}", self.auto_scaling_group_name.clone() ) .as_str(), &err, )); } let describe_auto_scaling_groups_output = describe_auto_scaling_groups.unwrap(); let auto_scaling_groups = describe_auto_scaling_groups_output.auto_scaling_groups(); let auto_scaling_group = auto_scaling_groups.first(); if auto_scaling_group.is_none() { return Err(ScenarioError::with(format!( "Could not find autoscaling group {}", self.auto_scaling_group_name.clone() ))); } Ok(auto_scaling_group.unwrap().clone()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [TerminateInstanceInAutoScalingGroup](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.terminate_instance_in_auto_scaling_group)。 ### `UpdateAutoScalingGroup` 以下程式碼範例顯示如何使用 `UpdateAutoScalingGroup`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/auto-scaling#code-examples)中設定和執行。 ``` async fn update_group(client: &Client, name: &str, size: i32) -> Result<(), Error> { client .update_auto_scaling_group() .auto_scaling_group_name(name) .max_size(size) .send() .await?; println!("Updated AutoScaling group"); Ok(()) } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [UpdateAutoScalingGroup](https://docs.rs/aws-sdk-autoscaling/latest/aws_sdk_autoscaling/client/struct.Client.html#method.update_auto_scaling_group)。 # 使用 SDK for Rust 的 Amazon Bedrock 執行時期範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon Bedrock 執行期來執行動作和實作常見案例。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [案例](#scenarios) + [Anthropic Claude](#anthropic_claude) ## 案例 ### 搭配 Converse API 使用工具 下列程式碼範例示範如何在應用程式、生成式 AI 模型和連線工具或 API 之間建立典型的互動，以媒介 AI 與外部世界之間的互動。其使用將外部天氣 API 連接線至 AI 模型的範例，以根據使用者輸入提供即時天氣資訊。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/bedrock-runtime#code-examples)中設定和執行。 示範的主要案例和邏輯。這會協調使用者、Amazon Bedrock Converse API 和天氣工具之間的對話。 ``` #[derive(Debug)] #[allow(dead_code)] struct InvokeToolResult(String, ToolResultBlock); struct ToolUseScenario { client: Client, conversation: Vec, system_prompt: SystemContentBlock, tool_config: ToolConfiguration, } impl ToolUseScenario { fn new(client: Client) -> Self { let system_prompt = SystemContentBlock::Text(SYSTEM_PROMPT.into()); let tool_config = ToolConfiguration::builder() .tools(Tool::ToolSpec( ToolSpecification::builder() .name(TOOL_NAME) .description(TOOL_DESCRIPTION) .input_schema(ToolInputSchema::Json(make_tool_schema())) .build() .unwrap(), )) .build() .unwrap(); ToolUseScenario { client, conversation: vec![], system_prompt, tool_config, } } async fn run(&mut self) -> Result<(), ToolUseScenarioError> { loop { let input = get_input().await?; if input.is_none() { break; } let message = Message::builder() .role(User) .content(ContentBlock::Text(input.unwrap())) .build() .map_err(ToolUseScenarioError::from)?; self.conversation.push(message); let response = self.send_to_bedrock().await?; self.process_model_response(response).await?; } Ok(()) } async fn send_to_bedrock(&mut self) -> Result { debug!("Sending conversation to bedrock"); self.client .converse() .model_id(MODEL_ID) .set_messages(Some(self.conversation.clone())) .system(self.system_prompt.clone()) .tool_config(self.tool_config.clone()) .send() .await .map_err(ToolUseScenarioError::from) } async fn process_model_response( &mut self, mut response: ConverseOutput, ) -> Result<(), ToolUseScenarioError> { let mut iteration = 0; while iteration < MAX_RECURSIONS { iteration += 1; let message = if let Some(ref output) = response.output { if output.is_message() { Ok(output.as_message().unwrap().clone()) } else { Err(ToolUseScenarioError( "Converse Output is not a message".into(), )) } } else { Err(ToolUseScenarioError("Missing Converse Output".into())) }?; self.conversation.push(message.clone()); match response.stop_reason { StopReason::ToolUse => { response = self.handle_tool_use(&message).await?; } StopReason::EndTurn => { print_model_response(&message.content[0])?; return Ok(()); } _ => (), } } Err(ToolUseScenarioError( "Exceeded MAX_ITERATIONS when calling tools".into(), )) } async fn handle_tool_use( &mut self, message: &Message, ) -> Result { let mut tool_results: Vec = vec![]; for block in &message.content { match block { ContentBlock::Text(_) => print_model_response(block)?, ContentBlock::ToolUse(tool) => { let tool_response = self.invoke_tool(tool).await?; tool_results.push(ContentBlock::ToolResult(tool_response.1)); } _ => (), }; } let message = Message::builder() .role(User) .set_content(Some(tool_results)) .build()?; self.conversation.push(message); self.send_to_bedrock().await } async fn invoke_tool( &mut self, tool: &ToolUseBlock, ) -> Result { match tool.name() { TOOL_NAME => { println!( "\x1b[0;90mExecuting tool: {TOOL_NAME} with input: {:?}...\x1b[0m", tool.input() ); let content = fetch_weather_data(tool).await?; println!( "\x1b[0;90mTool responded with {:?}\x1b[0m", content.content() ); Ok(InvokeToolResult(tool.tool_use_id.clone(), content)) } _ => Err(ToolUseScenarioError(format!( "The requested tool with name {} does not exist", tool.name() ))), } } } #[tokio::main] async fn main() { tracing_subscriber::fmt::init(); let sdk_config = aws_config::defaults(BehaviorVersion::latest()) .region(CLAUDE_REGION) .load() .await; let client = Client::new(&sdk_config); let mut scenario = ToolUseScenario::new(client); header(); if let Err(err) = scenario.run().await { println!("There was an error running the scenario! {}", err.0) } footer(); } ``` 示範時使用的天氣工具。此指令碼定義工具規格，並實作邏輯，以從 Open-Meteo API 用來擷取天氣資料。 ``` const ENDPOINT: &str = "https://api.open-meteo.com/v1/forecast"; async fn fetch_weather_data( tool_use: &ToolUseBlock, ) -> Result { let input = tool_use.input(); let latitude = input .as_object() .unwrap() .get("latitude") .unwrap() .as_string() .unwrap(); let longitude = input .as_object() .unwrap() .get("longitude") .unwrap() .as_string() .unwrap(); let params = [ ("latitude", latitude), ("longitude", longitude), ("current_weather", "true"), ]; debug!("Calling {ENDPOINT} with {params:?}"); let response = reqwest::Client::new() .get(ENDPOINT) .query(¶ms) .send() .await .map_err(|e| ToolUseScenarioError(format!("Error requesting weather: {e:?}")))? .error_for_status() .map_err(|e| ToolUseScenarioError(format!("Failed to request weather: {e:?}")))?; debug!("Response: {response:?}"); let bytes = response .bytes() .await .map_err(|e| ToolUseScenarioError(format!("Error reading response: {e:?}")))?; let result = String::from_utf8(bytes.to_vec()) .map_err(|_| ToolUseScenarioError("Response was not utf8".into()))?; Ok(ToolResultBlock::builder() .tool_use_id(tool_use.tool_use_id()) .content(ToolResultContentBlock::Text(result)) .build()?) } ``` 可列印訊息內容區塊的公用程式。 ``` fn print_model_response(block: &ContentBlock) -> Result<(), ToolUseScenarioError> { if block.is_text() { let text = block.as_text().unwrap(); println!("\x1b[0;90mThe model's response:\x1b[0m\n{text}"); Ok(()) } else { Err(ToolUseScenarioError(format!( "Content block is not text ({block:?})" ))) } } ``` 使用陳述式、錯誤公用程式和常數。 ``` use std::{collections::HashMap, io::stdin}; use aws_config::BehaviorVersion; use aws_sdk_bedrockruntime::{ error::{BuildError, SdkError}, operation::converse::{ConverseError, ConverseOutput}, types::{ ContentBlock, ConversationRole::User, Message, StopReason, SystemContentBlock, Tool, ToolConfiguration, ToolInputSchema, ToolResultBlock, ToolResultContentBlock, ToolSpecification, ToolUseBlock, }, Client, }; use aws_smithy_runtime_api::http::Response; use aws_smithy_types::Document; use tracing::debug; // Set the model ID, e.g., Claude 3 Haiku. const MODEL_ID: &str = "anthropic.claude-3-haiku-20240307-v1:0"; const CLAUDE_REGION: &str = "us-east-1"; const SYSTEM_PROMPT: &str = "You are a weather assistant that provides current weather data for user-specified locations using only the Weather_Tool, which expects latitude and longitude. Infer the coordinates from the location yourself. If the user provides coordinates, infer the approximate location and refer to it in your response. To use the tool, you strictly apply the provided tool specification. - Explain your step-by-step process, and give brief updates before each step. - Only use the Weather_Tool for data. Never guess or make up information. - Repeat the tool use for subsequent requests if necessary. - If the tool errors, apologize, explain weather is unavailable, and suggest other options. - Report temperatures in °C (°F) and wind in km/h (mph). Keep weather reports concise. Sparingly use emojis where appropriate. - Only respond to weather queries. Remind off-topic users of your purpose. - Never claim to search online, access external data, or use tools besides Weather_Tool. - Complete the entire process until you have all required data before sending the complete response. "; // The maximum number of recursive calls allowed in the tool_use_demo function. // This helps prevent infinite loops and potential performance issues. const MAX_RECURSIONS: i8 = 5; const TOOL_NAME: &str = "Weather_Tool"; const TOOL_DESCRIPTION: &str = "Get the current weather for a given location, based on its WGS84 coordinates."; fn make_tool_schema() -> Document { Document::Object(HashMap::::from([ ("type".into(), Document::String("object".into())), ( "properties".into(), Document::Object(HashMap::from([ ( "latitude".into(), Document::Object(HashMap::from([ ("type".into(), Document::String("string".into())), ( "description".into(), Document::String("Geographical WGS84 latitude of the location.".into()), ), ])), ), ( "longitude".into(), Document::Object(HashMap::from([ ("type".into(), Document::String("string".into())), ( "description".into(), Document::String( "Geographical WGS84 longitude of the location.".into(), ), ), ])), ), ])), ), ( "required".into(), Document::Array(vec![ Document::String("latitude".into()), Document::String("longitude".into()), ]), ), ])) } #[derive(Debug)] struct ToolUseScenarioError(String); impl std::fmt::Display for ToolUseScenarioError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "Tool use error with '{}'. Reason: {}", MODEL_ID, self.0) } } impl From<&str> for ToolUseScenarioError { fn from(value: &str) -> Self { ToolUseScenarioError(value.into()) } } impl From for ToolUseScenarioError { fn from(value: BuildError) -> Self { ToolUseScenarioError(value.to_string().clone()) } } impl From> for ToolUseScenarioError { fn from(value: SdkError) -> Self { ToolUseScenarioError(match value.as_service_error() { Some(value) => value.meta().message().unwrap_or("Unknown").into(), None => "Unknown".into(), }) } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [Converse](https://docs.rs/aws-sdk-bedrockruntime/latest/aws_sdk_bedrockruntime/client/struct.Client.html#method.converse)。 ## Anthropic Claude ### Converse 下列程式碼範例示範如何使用 Bedrock 的 Converse API，將文字訊息傳送至 Anthropic Claude。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/bedrock-runtime#code-examples)中設定和執行。 使用 Bedrock 的 Converse API，將文字訊息傳送至 Anthropic Claude。 ``` #[tokio::main] async fn main() -> Result<(), BedrockConverseError> { tracing_subscriber::fmt::init(); let sdk_config = aws_config::defaults(BehaviorVersion::latest()) .region(CLAUDE_REGION) .load() .await; let client = Client::new(&sdk_config); let response = client .converse() .model_id(MODEL_ID) .messages( Message::builder() .role(ConversationRole::User) .content(ContentBlock::Text(USER_MESSAGE.to_string())) .build() .map_err(|_| "failed to build message")?, ) .send() .await; match response { Ok(output) => { let text = get_converse_output_text(output)?; println!("{}", text); Ok(()) } Err(e) => Err(e .as_service_error() .map(BedrockConverseError::from) .unwrap_or_else(|| BedrockConverseError("Unknown service error".into()))), } } fn get_converse_output_text(output: ConverseOutput) -> Result { let text = output .output() .ok_or("no output")? .as_message() .map_err(|_| "output not a message")? .content() .first() .ok_or("no content in message")? .as_text() .map_err(|_| "content is not text")? .to_string(); Ok(text) } ``` 使用陳述式、錯誤公用程式和常數。 ``` use aws_config::BehaviorVersion; use aws_sdk_bedrockruntime::{ operation::converse::{ConverseError, ConverseOutput}, types::{ContentBlock, ConversationRole, Message}, Client, }; // Set the model ID, e.g., Claude 3 Haiku. const MODEL_ID: &str = "anthropic.claude-3-haiku-20240307-v1:0"; const CLAUDE_REGION: &str = "us-east-1"; // Start a conversation with the user message. const USER_MESSAGE: &str = "Describe the purpose of a 'hello world' program in one line."; #[derive(Debug)] struct BedrockConverseError(String); impl std::fmt::Display for BedrockConverseError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "Can't invoke '{}'. Reason: {}", MODEL_ID, self.0) } } impl std::error::Error for BedrockConverseError {} impl From<&str> for BedrockConverseError { fn from(value: &str) -> Self { BedrockConverseError(value.to_string()) } } impl From<&ConverseError> for BedrockConverseError { fn from(value: &ConverseError) -> Self { BedrockConverseError::from(match value { ConverseError::ModelTimeoutException(_) => "Model took too long", ConverseError::ModelNotReadyException(_) => "Model is not ready", _ => "Unknown", }) } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [Converse](https://docs.rs/aws-sdk-bedrockruntime/latest/aws_sdk_bedrockruntime/client/struct.Client.html#method.converse)。 ### ConverseStream 下列程式碼範例示範如何使用 Bedrock 的 Converse API 將文字訊息傳送至 Anthropic Claude，並即時處理回應串流。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/bedrock-runtime#code-examples)中設定和執行。 使用 Bedrock 的 ConverseStream API，將文字訊息傳送至 Anthropic Claude，並串流回覆字符。 ``` #[tokio::main] async fn main() -> Result<(), BedrockConverseStreamError> { tracing_subscriber::fmt::init(); let sdk_config = aws_config::defaults(BehaviorVersion::latest()) .region(CLAUDE_REGION) .load() .await; let client = Client::new(&sdk_config); let response = client .converse_stream() .model_id(MODEL_ID) .messages( Message::builder() .role(ConversationRole::User) .content(ContentBlock::Text(USER_MESSAGE.to_string())) .build() .map_err(|_| "failed to build message")?, ) .send() .await; let mut stream = match response { Ok(output) => Ok(output.stream), Err(e) => Err(BedrockConverseStreamError::from( e.as_service_error().unwrap(), )), }?; loop { let token = stream.recv().await; match token { Ok(Some(text)) => { let next = get_converse_output_text(text)?; print!("{}", next); Ok(()) } Ok(None) => break, Err(e) => Err(e .as_service_error() .map(BedrockConverseStreamError::from) .unwrap_or(BedrockConverseStreamError( "Unknown error receiving stream".into(), ))), }? } println!(); Ok(()) } fn get_converse_output_text( output: ConverseStreamOutputType, ) -> Result { Ok(match output { ConverseStreamOutputType::ContentBlockDelta(event) => match event.delta() { Some(delta) => delta.as_text().cloned().unwrap_or_else(|_| "".into()), None => "".into(), }, _ => "".into(), }) } ``` 使用陳述式、錯誤公用程式和常數。 ``` use aws_config::BehaviorVersion; use aws_sdk_bedrockruntime::{ error::ProvideErrorMetadata, operation::converse_stream::ConverseStreamError, types::{ error::ConverseStreamOutputError, ContentBlock, ConversationRole, ConverseStreamOutput as ConverseStreamOutputType, Message, }, Client, }; // Set the model ID, e.g., Claude 3 Haiku. const MODEL_ID: &str = "anthropic.claude-3-haiku-20240307-v1:0"; const CLAUDE_REGION: &str = "us-east-1"; // Start a conversation with the user message. const USER_MESSAGE: &str = "Describe the purpose of a 'hello world' program in one line."; #[derive(Debug)] struct BedrockConverseStreamError(String); impl std::fmt::Display for BedrockConverseStreamError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "Can't invoke '{}'. Reason: {}", MODEL_ID, self.0) } } impl std::error::Error for BedrockConverseStreamError {} impl From<&str> for BedrockConverseStreamError { fn from(value: &str) -> Self { BedrockConverseStreamError(value.into()) } } impl From<&ConverseStreamError> for BedrockConverseStreamError { fn from(value: &ConverseStreamError) -> Self { BedrockConverseStreamError( match value { ConverseStreamError::ModelTimeoutException(_) => "Model took too long", ConverseStreamError::ModelNotReadyException(_) => "Model is not ready", _ => "Unknown", } .into(), ) } } impl From<&ConverseStreamOutputError> for BedrockConverseStreamError { fn from(value: &ConverseStreamOutputError) -> Self { match value { ConverseStreamOutputError::ValidationException(ve) => BedrockConverseStreamError( ve.message().unwrap_or("Unknown ValidationException").into(), ), ConverseStreamOutputError::ThrottlingException(te) => BedrockConverseStreamError( te.message().unwrap_or("Unknown ThrottlingException").into(), ), value => BedrockConverseStreamError( value .message() .unwrap_or("Unknown StreamOutput exception") .into(), ), } } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ConverseStream](https://docs.rs/aws-sdk-bedrockruntime/latest/aws_sdk_bedrockruntime/client/struct.Client.html#method.converse_stream)。 ### 案例：工具與 Converse API 搭配使用 下列程式碼範例示範如何在應用程式、生成式 AI 模型和連線工具或 API 之間建立典型的互動，以媒介 AI 與外部世界之間的互動。其使用將外部天氣 API 連接線至 AI 模型的範例，以根據使用者輸入提供即時天氣資訊。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/bedrock-runtime#code-examples)中設定和執行。 示範的主要案例和邏輯。這會協調使用者、Amazon Bedrock Converse API 和天氣工具之間的對話。 ``` #[derive(Debug)] #[allow(dead_code)] struct InvokeToolResult(String, ToolResultBlock); struct ToolUseScenario { client: Client, conversation: Vec, system_prompt: SystemContentBlock, tool_config: ToolConfiguration, } impl ToolUseScenario { fn new(client: Client) -> Self { let system_prompt = SystemContentBlock::Text(SYSTEM_PROMPT.into()); let tool_config = ToolConfiguration::builder() .tools(Tool::ToolSpec( ToolSpecification::builder() .name(TOOL_NAME) .description(TOOL_DESCRIPTION) .input_schema(ToolInputSchema::Json(make_tool_schema())) .build() .unwrap(), )) .build() .unwrap(); ToolUseScenario { client, conversation: vec![], system_prompt, tool_config, } } async fn run(&mut self) -> Result<(), ToolUseScenarioError> { loop { let input = get_input().await?; if input.is_none() { break; } let message = Message::builder() .role(User) .content(ContentBlock::Text(input.unwrap())) .build() .map_err(ToolUseScenarioError::from)?; self.conversation.push(message); let response = self.send_to_bedrock().await?; self.process_model_response(response).await?; } Ok(()) } async fn send_to_bedrock(&mut self) -> Result { debug!("Sending conversation to bedrock"); self.client .converse() .model_id(MODEL_ID) .set_messages(Some(self.conversation.clone())) .system(self.system_prompt.clone()) .tool_config(self.tool_config.clone()) .send() .await .map_err(ToolUseScenarioError::from) } async fn process_model_response( &mut self, mut response: ConverseOutput, ) -> Result<(), ToolUseScenarioError> { let mut iteration = 0; while iteration < MAX_RECURSIONS { iteration += 1; let message = if let Some(ref output) = response.output { if output.is_message() { Ok(output.as_message().unwrap().clone()) } else { Err(ToolUseScenarioError( "Converse Output is not a message".into(), )) } } else { Err(ToolUseScenarioError("Missing Converse Output".into())) }?; self.conversation.push(message.clone()); match response.stop_reason { StopReason::ToolUse => { response = self.handle_tool_use(&message).await?; } StopReason::EndTurn => { print_model_response(&message.content[0])?; return Ok(()); } _ => (), } } Err(ToolUseScenarioError( "Exceeded MAX_ITERATIONS when calling tools".into(), )) } async fn handle_tool_use( &mut self, message: &Message, ) -> Result { let mut tool_results: Vec = vec![]; for block in &message.content { match block { ContentBlock::Text(_) => print_model_response(block)?, ContentBlock::ToolUse(tool) => { let tool_response = self.invoke_tool(tool).await?; tool_results.push(ContentBlock::ToolResult(tool_response.1)); } _ => (), }; } let message = Message::builder() .role(User) .set_content(Some(tool_results)) .build()?; self.conversation.push(message); self.send_to_bedrock().await } async fn invoke_tool( &mut self, tool: &ToolUseBlock, ) -> Result { match tool.name() { TOOL_NAME => { println!( "\x1b[0;90mExecuting tool: {TOOL_NAME} with input: {:?}...\x1b[0m", tool.input() ); let content = fetch_weather_data(tool).await?; println!( "\x1b[0;90mTool responded with {:?}\x1b[0m", content.content() ); Ok(InvokeToolResult(tool.tool_use_id.clone(), content)) } _ => Err(ToolUseScenarioError(format!( "The requested tool with name {} does not exist", tool.name() ))), } } } #[tokio::main] async fn main() { tracing_subscriber::fmt::init(); let sdk_config = aws_config::defaults(BehaviorVersion::latest()) .region(CLAUDE_REGION) .load() .await; let client = Client::new(&sdk_config); let mut scenario = ToolUseScenario::new(client); header(); if let Err(err) = scenario.run().await { println!("There was an error running the scenario! {}", err.0) } footer(); } ``` 示範時使用的天氣工具。此指令碼定義工具規格，並實作邏輯，以從 Open-Meteo API 用來擷取天氣資料。 ``` const ENDPOINT: &str = "https://api.open-meteo.com/v1/forecast"; async fn fetch_weather_data( tool_use: &ToolUseBlock, ) -> Result { let input = tool_use.input(); let latitude = input .as_object() .unwrap() .get("latitude") .unwrap() .as_string() .unwrap(); let longitude = input .as_object() .unwrap() .get("longitude") .unwrap() .as_string() .unwrap(); let params = [ ("latitude", latitude), ("longitude", longitude), ("current_weather", "true"), ]; debug!("Calling {ENDPOINT} with {params:?}"); let response = reqwest::Client::new() .get(ENDPOINT) .query(¶ms) .send() .await .map_err(|e| ToolUseScenarioError(format!("Error requesting weather: {e:?}")))? .error_for_status() .map_err(|e| ToolUseScenarioError(format!("Failed to request weather: {e:?}")))?; debug!("Response: {response:?}"); let bytes = response .bytes() .await .map_err(|e| ToolUseScenarioError(format!("Error reading response: {e:?}")))?; let result = String::from_utf8(bytes.to_vec()) .map_err(|_| ToolUseScenarioError("Response was not utf8".into()))?; Ok(ToolResultBlock::builder() .tool_use_id(tool_use.tool_use_id()) .content(ToolResultContentBlock::Text(result)) .build()?) } ``` 可列印訊息內容區塊的公用程式。 ``` fn print_model_response(block: &ContentBlock) -> Result<(), ToolUseScenarioError> { if block.is_text() { let text = block.as_text().unwrap(); println!("\x1b[0;90mThe model's response:\x1b[0m\n{text}"); Ok(()) } else { Err(ToolUseScenarioError(format!( "Content block is not text ({block:?})" ))) } } ``` 使用陳述式、錯誤公用程式和常數。 ``` use std::{collections::HashMap, io::stdin}; use aws_config::BehaviorVersion; use aws_sdk_bedrockruntime::{ error::{BuildError, SdkError}, operation::converse::{ConverseError, ConverseOutput}, types::{ ContentBlock, ConversationRole::User, Message, StopReason, SystemContentBlock, Tool, ToolConfiguration, ToolInputSchema, ToolResultBlock, ToolResultContentBlock, ToolSpecification, ToolUseBlock, }, Client, }; use aws_smithy_runtime_api::http::Response; use aws_smithy_types::Document; use tracing::debug; // Set the model ID, e.g., Claude 3 Haiku. const MODEL_ID: &str = "anthropic.claude-3-haiku-20240307-v1:0"; const CLAUDE_REGION: &str = "us-east-1"; const SYSTEM_PROMPT: &str = "You are a weather assistant that provides current weather data for user-specified locations using only the Weather_Tool, which expects latitude and longitude. Infer the coordinates from the location yourself. If the user provides coordinates, infer the approximate location and refer to it in your response. To use the tool, you strictly apply the provided tool specification. - Explain your step-by-step process, and give brief updates before each step. - Only use the Weather_Tool for data. Never guess or make up information. - Repeat the tool use for subsequent requests if necessary. - If the tool errors, apologize, explain weather is unavailable, and suggest other options. - Report temperatures in °C (°F) and wind in km/h (mph). Keep weather reports concise. Sparingly use emojis where appropriate. - Only respond to weather queries. Remind off-topic users of your purpose. - Never claim to search online, access external data, or use tools besides Weather_Tool. - Complete the entire process until you have all required data before sending the complete response. "; // The maximum number of recursive calls allowed in the tool_use_demo function. // This helps prevent infinite loops and potential performance issues. const MAX_RECURSIONS: i8 = 5; const TOOL_NAME: &str = "Weather_Tool"; const TOOL_DESCRIPTION: &str = "Get the current weather for a given location, based on its WGS84 coordinates."; fn make_tool_schema() -> Document { Document::Object(HashMap::::from([ ("type".into(), Document::String("object".into())), ( "properties".into(), Document::Object(HashMap::from([ ( "latitude".into(), Document::Object(HashMap::from([ ("type".into(), Document::String("string".into())), ( "description".into(), Document::String("Geographical WGS84 latitude of the location.".into()), ), ])), ), ( "longitude".into(), Document::Object(HashMap::from([ ("type".into(), Document::String("string".into())), ( "description".into(), Document::String( "Geographical WGS84 longitude of the location.".into(), ), ), ])), ), ])), ), ( "required".into(), Document::Array(vec![ Document::String("latitude".into()), Document::String("longitude".into()), ]), ), ])) } #[derive(Debug)] struct ToolUseScenarioError(String); impl std::fmt::Display for ToolUseScenarioError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "Tool use error with '{}'. Reason: {}", MODEL_ID, self.0) } } impl From<&str> for ToolUseScenarioError { fn from(value: &str) -> Self { ToolUseScenarioError(value.into()) } } impl From for ToolUseScenarioError { fn from(value: BuildError) -> Self { ToolUseScenarioError(value.to_string().clone()) } } impl From> for ToolUseScenarioError { fn from(value: SdkError) -> Self { ToolUseScenarioError(match value.as_service_error() { Some(value) => value.meta().message().unwrap_or("Unknown").into(), None => "Unknown".into(), }) } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [Converse](https://docs.rs/aws-sdk-bedrockruntime/latest/aws_sdk_bedrockruntime/client/struct.Client.html#method.converse)。 # 使用 SDK for Rust 的 Amazon Bedrock 代理程式執行時期範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon Bedrock Agents 執行期來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `InvokeAgent` 以下程式碼範例顯示如何使用 `InvokeAgent`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/bedrock-agent-runtime#code-examples)中設定和執行。 ``` use aws_config::{BehaviorVersion, SdkConfig}; use aws_sdk_bedrockagentruntime::{ self as bedrockagentruntime, types::{error::ResponseStreamError, ResponseStream}, }; #[allow(unused_imports)] use mockall::automock; const BEDROCK_AGENT_ID: &str = "AJBHXXILZN"; const BEDROCK_AGENT_ALIAS_ID: &str = "AVKP1ITZAA"; const BEDROCK_AGENT_REGION: &str = "us-east-1"; #[cfg(not(test))] pub use EventReceiverImpl as EventReceiver; #[cfg(test)] pub use MockEventReceiverImpl as EventReceiver; pub struct EventReceiverImpl { inner: aws_sdk_bedrockagentruntime::primitives::event_stream::EventReceiver< ResponseStream, ResponseStreamError, >, } #[cfg_attr(test, automock)] impl EventReceiverImpl { #[allow(dead_code)] pub fn new( inner: aws_sdk_bedrockagentruntime::primitives::event_stream::EventReceiver< ResponseStream, ResponseStreamError, >, ) -> Self { Self { inner } } pub async fn recv( &mut self, ) -> Result< Option, aws_sdk_bedrockagentruntime::error::SdkError< ResponseStreamError, aws_smithy_types::event_stream::RawMessage, >, > { self.inner.recv().await } } #[tokio::main] async fn main() -> Result<(), Box> { let result = invoke_bedrock_agent("I need help.".to_string(), "123".to_string()).await?; println!("{}", result); Ok(()) } async fn invoke_bedrock_agent( prompt: String, session_id: String, ) -> Result { let sdk_config: SdkConfig = aws_config::defaults(BehaviorVersion::latest()) .region(BEDROCK_AGENT_REGION) .load() .await; let bedrock_client = bedrockagentruntime::Client::new(&sdk_config); let command_builder = bedrock_client .invoke_agent() .agent_id(BEDROCK_AGENT_ID) .agent_alias_id(BEDROCK_AGENT_ALIAS_ID) .session_id(session_id) .input_text(prompt); let response = command_builder.send().await?; let response_stream = response.completion; let event_receiver = EventReceiver::new(response_stream); process_agent_response_stream(event_receiver).await } async fn process_agent_response_stream( mut event_receiver: EventReceiver, ) -> Result { let mut full_agent_text_response = String::new(); while let Some(event_result) = event_receiver.recv().await? { match event_result { ResponseStream::Chunk(chunk) => { if let Some(bytes) = chunk.bytes { match String::from_utf8(bytes.into_inner()) { Ok(text_chunk) => { full_agent_text_response.push_str(&text_chunk); } Err(e) => { eprintln!("UTF-8 decoding error for chunk: {}", e); } } } } _ => { panic!("received an unhandled event type from Bedrock stream",); } } } Ok(full_agent_text_response) } #[cfg(test)] mod test { use super::*; #[tokio::test] async fn test_process_agent_response_stream() { let mut mock = MockEventReceiverImpl::default(); mock.expect_recv().times(1).returning(|| { Ok(Some( aws_sdk_bedrockagentruntime::types::ResponseStream::Chunk( aws_sdk_bedrockagentruntime::types::PayloadPart::builder() .set_bytes(Some(aws_smithy_types::Blob::new(vec![ 116, 101, 115, 116, 32, 99, 111, 109, 112, 108, 101, 116, 105, 111, 110, ]))) .build(), ), )) }); // end the stream mock.expect_recv().times(1).returning(|| Ok(None)); let response = process_agent_response_stream(mock).await.unwrap(); assert_eq!("test completion", response); } #[tokio::test] #[should_panic(expected = "received an unhandled event type from Bedrock stream")] async fn test_process_agent_response_stream_error() { let mut mock = MockEventReceiverImpl::default(); mock.expect_recv().times(1).returning(|| { Ok(Some( aws_sdk_bedrockagentruntime::types::ResponseStream::Trace( aws_sdk_bedrockagentruntime::types::TracePart::builder().build(), ), )) }); let _ = process_agent_response_stream(mock).await.unwrap(); } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [InvokeAgent](https://docs.rs/aws-sdk-bedrockagentruntime/latest/aws_sdk_bedrockagentruntime/client/struct.Client.html#method.invoke_agent)。 # 使用 SDK for Rust 的 Amazon Cognito 身分提供者範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon Cognito Identity Provider 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `ListUserPools` 以下程式碼範例顯示如何使用 `ListUserPools`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/cognitoidentityprovider#code-examples)中設定和執行。 ``` async fn show_pools(client: &Client) -> Result<(), Error> { let response = client.list_user_pools().max_results(10).send().await?; let pools = response.user_pools(); println!("User pools:"); for pool in pools { println!(" ID: {}", pool.id().unwrap_or_default()); println!(" Name: {}", pool.name().unwrap_or_default()); println!(" Lambda Config: {:?}", pool.lambda_config().unwrap()); println!( " Last modified: {}", pool.last_modified_date().unwrap().to_chrono_utc()? ); println!( " Creation date: {:?}", pool.creation_date().unwrap().to_chrono_utc() ); println!(); } println!("Next token: {}", response.next_token().unwrap_or_default()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListUserPools](https://docs.rs/aws-sdk-cognitoidentityprovider/latest/aws_sdk_cognitoidentityprovider/client/struct.Client.html#method.list_user_pools)。 # 使用 SDK for Rust 的 Amazon Cognito Sync 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon Cognito Sync 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `ListIdentityPoolUsage` 以下程式碼範例顯示如何使用 `ListIdentityPoolUsage`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/cognitosync#code-examples)中設定和執行。 ``` async fn show_pools(client: &Client) -> Result<(), Error> { let response = client .list_identity_pool_usage() .max_results(10) .send() .await?; let pools = response.identity_pool_usages(); println!("Identity pools:"); for pool in pools { println!( " Identity pool ID: {}", pool.identity_pool_id().unwrap_or_default() ); println!( " Data storage: {}", pool.data_storage().unwrap_or_default() ); println!( " Sync sessions count: {}", pool.sync_sessions_count().unwrap_or_default() ); println!( " Last modified: {}", pool.last_modified_date().unwrap().to_chrono_utc()? ); println!(); } println!("Next token: {}", response.next_token().unwrap_or_default()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListIdentityPoolUsage](https://docs.rs/aws-sdk-cognitosync/latest/aws_sdk_cognitosync/client/struct.Client.html#method.list_identity_pool_usage)。 # 使用 SDK for Rust 的 Firehose 範例 下列程式碼範例示範如何使用 AWS SDK for Rust with Firehose 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `PutRecordBatch` 以下程式碼範例顯示如何使用 `PutRecordBatch`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/firehose#code-examples)中設定和執行。 ``` async fn put_record_batch( client: &Client, stream: &str, data: Vec, ) -> Result> { client .put_record_batch() .delivery_stream_name(stream) .set_records(Some(data)) .send() .await } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [PutRecordBatch](https://docs.rs/aws-sdk-firehose/latest/aws_sdk_firehose/client/struct.Client.html#method.put_record_batch)。 # 使用 SDK for Rust 的 Amazon DocumentDB 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon DocumentDB 來執行動作和實作常見案例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [無伺服器範例](#serverless_examples) ## 無伺服器範例 ### 使用 Amazon DocumentDB 觸發條件調用 Lambda 函數 以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 DocumentDB 變更串流的記錄來接收所觸發的事件。函數會擷取 DocumentDB 承載並記下記錄內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-docdb-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 使用 Amazon DocumentDB 事件。 ``` use lambda_runtime::{service_fn, tracing, Error, LambdaEvent}; use aws_lambda_events::{ event::documentdb::{DocumentDbEvent, DocumentDbInnerEvent}, }; // Built with the following dependencies: //lambda_runtime = "0.11.1" //serde_json = "1.0" //tokio = { version = "1", features = ["macros"] } //tracing = { version = "0.1", features = ["log"] } //tracing-subscriber = { version = "0.3", default-features = false, features = ["fmt"] } //aws_lambda_events = "0.15.0" async fn function_handler(event: LambdaEvent) ->Result<(), Error> { tracing::info!("Event Source ARN: {:?}", event.payload.event_source_arn); tracing::info!("Event Source: {:?}", event.payload.event_source); let records = &event.payload.events; if records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(()); } for record in records{ log_document_db_event(record); } tracing::info!("Document db records processed"); // Prepare the response Ok(()) } fn log_document_db_event(record: &DocumentDbInnerEvent)-> Result<(), Error>{ tracing::info!("Change Event: {:?}", record.event); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) .with_target(false) .without_time() .init(); let func = service_fn(function_handler); lambda_runtime::run(func).await?; Ok(()) } ``` # 使用 SDK for Rust 的 DynamoDB 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 DynamoDB 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 *AWS 社群貢獻*是由多個團隊所建立和維護的範例 AWS。若要提供意見回饋，請使用連結儲存庫中提供的機制。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) + [案例](#scenarios) + [無伺服器範例](#serverless_examples) + [AWS 社群貢獻](#aws_community_contributions) ## 動作 ### `CreateTable` 以下程式碼範例顯示如何使用 `CreateTable`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。 ``` pub async fn create_table( client: &Client, table: &str, key: &str, ) -> Result { let a_name: String = key.into(); let table_name: String = table.into(); let ad = AttributeDefinition::builder() .attribute_name(&a_name) .attribute_type(ScalarAttributeType::S) .build() .map_err(Error::BuildError)?; let ks = KeySchemaElement::builder() .attribute_name(&a_name) .key_type(KeyType::Hash) .build() .map_err(Error::BuildError)?; let create_table_response = client .create_table() .table_name(table_name) .key_schema(ks) .attribute_definitions(ad) .billing_mode(BillingMode::PayPerRequest) .send() .await; match create_table_response { Ok(out) => { println!("Added table {} with key {}", table, key); Ok(out) } Err(e) => { eprintln!("Got an error creating table:"); eprintln!("{}", e); Err(Error::unhandled(e)) } } } ``` + 如需 API 的詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的 [CreateTable](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.create_table)。 ### `DeleteItem` 以下程式碼範例顯示如何使用 `DeleteItem`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。 ``` pub async fn delete_item( client: &Client, table: &str, key: &str, value: &str, ) -> Result { match client .delete_item() .table_name(table) .key(key, AttributeValue::S(value.into())) .send() .await { Ok(out) => { println!("Deleted item from table"); Ok(out) } Err(e) => Err(Error::unhandled(e)), } } ``` + 如需 API 的詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的 [DeleteItem](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.delete_item)。 ### `DeleteTable` 以下程式碼範例顯示如何使用 `DeleteTable`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。 ``` pub async fn delete_table(client: &Client, table: &str) -> Result { let resp = client.delete_table().table_name(table).send().await; match resp { Ok(out) => { println!("Deleted table"); Ok(out) } Err(e) => Err(Error::Unhandled(e.into())), } } ``` + 如需 API 的詳細資訊，請參閱《[適用於 Rust 的AWS SDK API 參考](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.delete_table)》中的 *DeleteTable*。 ### `ListTables` 以下程式碼範例顯示如何使用 `ListTables`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。 ``` pub async fn list_tables(client: &Client) -> Result, Error> { let paginator = client.list_tables().into_paginator().items().send(); let table_names = paginator.collect::, _>>().await?; println!("Tables:"); for name in &table_names { println!(" {}", name); } println!("Found {} tables", table_names.len()); Ok(table_names) } ``` 判斷資料表是否存在。 ``` pub async fn table_exists(client: &Client, table: &str) -> Result { debug!("Checking for table: {table}"); let table_list = client.list_tables().send().await; match table_list { Ok(list) => Ok(list.table_names().contains(&table.into())), Err(e) => Err(e.into()), } } ``` + 如需 API 的詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的 [ListTables](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.list_tables)。 ### `PutItem` 以下程式碼範例顯示如何使用 `PutItem`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。 ``` pub async fn add_item(client: &Client, item: Item, table: &String) -> Result { let user_av = AttributeValue::S(item.username); let type_av = AttributeValue::S(item.p_type); let age_av = AttributeValue::S(item.age); let first_av = AttributeValue::S(item.first); let last_av = AttributeValue::S(item.last); let request = client .put_item() .table_name(table) .item("username", user_av) .item("account_type", type_av) .item("age", age_av) .item("first_name", first_av) .item("last_name", last_av); println!("Executing request [{request:?}] to add item..."); let resp = request.send().await?; let attributes = resp.attributes().unwrap(); let username = attributes.get("username").cloned(); let first_name = attributes.get("first_name").cloned(); let last_name = attributes.get("last_name").cloned(); let age = attributes.get("age").cloned(); let p_type = attributes.get("p_type").cloned(); println!( "Added user {:?}, {:?} {:?}, age {:?} as {:?} user", username, first_name, last_name, age, p_type ); Ok(ItemOut { p_type, age, username, first_name, last_name, }) } ``` + 如需 API 的詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的 [PutItem](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.put_item)。 ### `Query` 以下程式碼範例顯示如何使用 `Query`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。 尋找在指定年份製作的電影。 ``` pub async fn movies_in_year( client: &Client, table_name: &str, year: u16, ) -> Result, MovieError> { let results = client .query() .table_name(table_name) .key_condition_expression("#yr = :yyyy") .expression_attribute_names("#yr", "year") .expression_attribute_values(":yyyy", AttributeValue::N(year.to_string())) .send() .await?; if let Some(items) = results.items { let movies = items.iter().map(|v| v.into()).collect(); Ok(movies) } else { Ok(vec![]) } } ``` + 如需 API 的詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的[Query](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.query)。 ### `Scan` 以下程式碼範例顯示如何使用 `Scan`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。 ``` pub async fn list_items(client: &Client, table: &str, page_size: Option) -> Result<(), Error> { let page_size = page_size.unwrap_or(10); let items: Result, _> = client .scan() .table_name(table) .limit(page_size) .into_paginator() .items() .send() .collect() .await; println!("Items in table (up to {page_size}):"); for item in items? { println!(" {:?}", item); } Ok(()) } ``` + 如需 API 的詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的[Scan](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.scan)。 ## 案例 ### 連線至本機執行個體 下列程式碼範例示範如何覆寫端點 URL 以連線至 DynamoDB 和 AWS SDK 的本機開發部署。 如需詳細資訊，請參閱 [DynamoDB 本機版](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/DynamoDBLocal.html)。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。 ``` /// Lists your tables from a local DynamoDB instance by setting the SDK Config's /// endpoint_url and test_credentials. #[tokio::main] async fn main() { tracing_subscriber::fmt::init(); let config = aws_config::defaults(aws_config::BehaviorVersion::latest()) .test_credentials() // DynamoDB run locally uses port 8000 by default. .endpoint_url("http://localhost:8000") .load() .await; let dynamodb_local_config = aws_sdk_dynamodb::config::Builder::from(&config).build(); let client = aws_sdk_dynamodb::Client::from_conf(dynamodb_local_config); let list_resp = client.list_tables().send().await; match list_resp { Ok(resp) => { println!("Found {} tables", resp.table_names().len()); for name in resp.table_names() { println!(" {}", name); } } Err(err) => eprintln!("Failed to list local dynamodb tables: {err:?}"), } } ``` ### 建立無伺服器應用程式來管理相片 下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。 **適用於 Rust 的 SDK** 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/cross_service/photo_asset_management) 上的完整範例。 如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。 **此範例中使用的服務** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ### 使用 PartiQL 查詢資料表 以下程式碼範例顯示做法： + 透過執行 SELECT 陳述式取得項目。 + 透過執行 INSERT 陳述式新增項目。 + 透過執行 UPDATE 陳述式更新項目。 + 透過執行 DELETE 陳述式刪除項目。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples)中設定和執行。 ``` async fn make_table( client: &Client, table: &str, key: &str, ) -> Result<(), SdkError> { let ad = AttributeDefinition::builder() .attribute_name(key) .attribute_type(ScalarAttributeType::S) .build() .expect("creating AttributeDefinition"); let ks = KeySchemaElement::builder() .attribute_name(key) .key_type(KeyType::Hash) .build() .expect("creating KeySchemaElement"); match client .create_table() .table_name(table) .key_schema(ks) .attribute_definitions(ad) .billing_mode(BillingMode::PayPerRequest) .send() .await { Ok(_) => Ok(()), Err(e) => Err(e), } } async fn add_item(client: &Client, item: Item) -> Result<(), SdkError> { match client .execute_statement() .statement(format!( r#"INSERT INTO "{}" VALUE {{ "{}": ?, "acount_type": ?, "age": ?, "first_name": ?, "last_name": ? }} "#, item.table, item.key )) .set_parameters(Some(vec![ AttributeValue::S(item.utype), AttributeValue::S(item.age), AttributeValue::S(item.first_name), AttributeValue::S(item.last_name), ])) .send() .await { Ok(_) => Ok(()), Err(e) => Err(e), } } async fn query_item(client: &Client, item: Item) -> bool { match client .execute_statement() .statement(format!( r#"SELECT * FROM "{}" WHERE "{}" = ?"#, item.table, item.key )) .set_parameters(Some(vec![AttributeValue::S(item.value)])) .send() .await { Ok(resp) => { if !resp.items().is_empty() { println!("Found a matching entry in the table:"); println!("{:?}", resp.items.unwrap_or_default().pop()); true } else { println!("Did not find a match."); false } } Err(e) => { println!("Got an error querying table:"); println!("{}", e); process::exit(1); } } } async fn remove_item(client: &Client, table: &str, key: &str, value: String) -> Result<(), Error> { client .execute_statement() .statement(format!(r#"DELETE FROM "{table}" WHERE "{key}" = ?"#)) .set_parameters(Some(vec![AttributeValue::S(value)])) .send() .await?; println!("Deleted item."); Ok(()) } async fn remove_table(client: &Client, table: &str) -> Result<(), Error> { client.delete_table().table_name(table).send().await?; Ok(()) } ``` + 如需 API 的詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的 [ExecuteStatement](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.execute_statement)。 ### 儲存 EXIF 和其他映像資訊 以下程式碼範例顯示做法： + 從 JPG、JPEG 或 PNG 檔案中取得 EXIF 資訊。 + 將映像檔案上傳至 Amazon S3 儲存貯體。 + 使用 Amazon Rekognition 識別檔案中的三個主要屬性 (標籤)。 + 將 EXIF 和標籤資訊新增至區域中的 Amazon DynamoDB 資料表。 **適用於 Rust 的 SDK** 從 JPG、JPEG 或 PNG 檔案獲取 EXIF 資訊，將映像檔案上傳至 Amazon S3 儲存貯體，使用 Amazon Rekognition 識別三個主要屬性 (Amazon Rekognition 中的*標籤*)，然後將 EXIF 和標籤資訊新增至區域中的 Amazon DynamoDB 資料表中。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/rustv1/cross_service/detect_labels/src/main.rs) 上的完整範例。 **此範例中使用的服務** + DynamoDB + Amazon Rekognition + Amazon S3 ## 無伺服器範例 ### 使用 DynamoDB 觸發條件調用 Lambda 函式 以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 DynamoDB 串流的記錄來接收所觸發的事件。函數會擷取 DynamoDB 承載並記下記錄內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 DynamoDB 事件。 ``` use lambda_runtime::{service_fn, tracing, Error, LambdaEvent}; use aws_lambda_events::{ event::dynamodb::{Event, EventRecord}, }; // Built with the following dependencies: //lambda_runtime = "0.11.1" //serde_json = "1.0" //tokio = { version = "1", features = ["macros"] } //tracing = { version = "0.1", features = ["log"] } //tracing-subscriber = { version = "0.3", default-features = false, features = ["fmt"] } //aws_lambda_events = "0.15.0" async fn function_handler(event: LambdaEvent) ->Result<(), Error> { let records = &event.payload.records; tracing::info!("event payload: {:?}",records); if records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(()); } for record in records{ log_dynamo_dbrecord(record); } tracing::info!("Dynamo db records processed"); // Prepare the response Ok(()) } fn log_dynamo_dbrecord(record: &EventRecord)-> Result<(), Error>{ tracing::info!("EventId: {}", record.event_id); tracing::info!("EventName: {}", record.event_name); tracing::info!("DynamoDB Record: {:?}", record.change ); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) .with_target(false) .without_time() .init(); let func = service_fn(function_handler); lambda_runtime::run(func).await?; Ok(()) } ``` ### 使用 DynamoDB 觸發條件報告 Lambda 函式的批次項目失敗 下列程式碼範例示範如何針對接收來自 DynamoDB 串流之事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 報告 DynamoDB 批次項目失敗。 ``` use aws_lambda_events::{ event::dynamodb::{Event, EventRecord, StreamRecord}, streams::{DynamoDbBatchItemFailure, DynamoDbEventResponse}, }; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; /// Process the stream record fn process_record(record: &EventRecord) -> Result<(), Error> { let stream_record: &StreamRecord = &record.change; // process your stream record here... tracing::info!("Data: {:?}", stream_record); Ok(()) } /// Main Lambda handler here... async fn function_handler(event: LambdaEvent) -> Result { let mut response = DynamoDbEventResponse { batch_item_failures: vec![], }; let records = &event.payload.records; if records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(response); } for record in records { tracing::info!("EventId: {}", record.event_id); // Couldn't find a sequence number if record.change.sequence_number.is_none() { response.batch_item_failures.push(DynamoDbBatchItemFailure { item_identifier: Some("".to_string()), }); return Ok(response); } // Process your record here... if process_record(record).is_err() { response.batch_item_failures.push(DynamoDbBatchItemFailure { item_identifier: record.change.sequence_number.clone(), }); /* Since we are working with streams, we can return the failed item immediately. Lambda will immediately begin to retry processing from this failed item onwards. */ return Ok(response); } } tracing::info!("Successfully processed {} record(s)", records.len()); Ok(response) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) // disable printing the name of the module in every log line. .with_target(false) // disabling time is handy because CloudWatch will add the ingestion time. .without_time() .init(); run(service_fn(function_handler)).await } ``` ## AWS 社群貢獻 ### 建置和測試無伺服器應用程式 下列程式碼範例示範如何搭配 Lambda 和 DynamoDB 使用 API Gateway，建置和測試無伺服器應用程式 **適用於 Rust 的 SDK** 示範如何使用 Rust SDK 建置和測試無伺服器應用程式，而該應用程式是由具有 Lambda 和 DynamoDB 的 API Gateway 組成。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/aws-samples/serverless-rust-demo) 上的完整範例。 **此範例中使用的服務** + API Gateway + DynamoDB + Lambda # 使用 SDK for Rust 的 Amazon EBS 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon EBS 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `CompleteSnapshot` 以下程式碼範例顯示如何使用 `CompleteSnapshot`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ebs#code-examples)中設定和執行。 ``` async fn finish(client: &Client, id: &str) -> Result<(), Error> { client .complete_snapshot() .changed_blocks_count(2) .snapshot_id(id) .send() .await?; println!("Snapshot ID {}", id); println!("The state is 'completed' when all of the modified blocks have been transferred to Amazon S3."); println!("Use the get-snapshot-state code example to get the state of the snapshot."); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CompleteSnapshot](https://docs.rs/aws-sdk-ebs/latest/aws_sdk_ebs/client/struct.Client.html#method.complete_snapshot)。 ### `PutSnapshotBlock` 以下程式碼範例顯示如何使用 `PutSnapshotBlock`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ebs#code-examples)中設定和執行。 ``` async fn add_block( client: &Client, id: &str, idx: usize, block: Vec, checksum: &str, ) -> Result<(), Error> { client .put_snapshot_block() .snapshot_id(id) .block_index(idx as i32) .block_data(ByteStream::from(block)) .checksum(checksum) .checksum_algorithm(ChecksumAlgorithm::ChecksumAlgorithmSha256) .data_length(EBS_BLOCK_SIZE as i32) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [PutSnapshotBlock](https://docs.rs/aws-sdk-ebs/latest/aws_sdk_ebs/client/struct.Client.html#method.put_snapshot_block)。 ### `StartSnapshot` 以下程式碼範例顯示如何使用 `StartSnapshot`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ebs#code-examples)中設定和執行。 ``` async fn start(client: &Client, description: &str) -> Result { let snapshot = client .start_snapshot() .description(description) .encrypted(false) .volume_size(1) .send() .await?; Ok(snapshot.snapshot_id.unwrap()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [StartSnapshot](https://docs.rs/aws-sdk-ebs/latest/aws_sdk_ebs/client/struct.Client.html#method.start_snapshot)。 # 使用 SDK for Rust 的 Amazon EC2 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon EC2 來執行動作和實作常見案例。 *基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [開始使用](#get_started) + [基本概念](#basics) + [動作](#actions) ## 開始使用 ### 您好 Amazon EC2 下列程式碼範例說明如何開始使用 Amazon EC2。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` async fn show_security_groups(client: &aws_sdk_ec2::Client, group_ids: Vec) { let response = client .describe_security_groups() .set_group_ids(Some(group_ids)) .send() .await; match response { Ok(output) => { for group in output.security_groups() { println!( "Found Security Group {} ({}), vpc id {} and description {}", group.group_name().unwrap_or("unknown"), group.group_id().unwrap_or("id-unknown"), group.vpc_id().unwrap_or("vpcid-unknown"), group.description().unwrap_or("(none)") ); } } Err(err) => { let err = err.into_service_error(); let meta = err.meta(); let message = meta.message().unwrap_or("unknown"); let code = meta.code().unwrap_or("unknown"); eprintln!("Error listing EC2 Security Groups: ({code}) {message}"); } } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeSecurityGroups](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_security_groups)。 ## 基本概念 ### 了解基本概念 以下程式碼範例顯示做法： + 建立金鑰對和安全群組。 + 選取 Amazon Machine Image (AMI) 和相容的執行個體類型，然後建立執行個體。 + 停止並重新啟動執行個體。 + 將彈性 IP 地址與您的執行個體建立關聯。 + 使用 SSH 連線至執行個體，然後清理資源。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 EC2InstanceScenario 實作包含執行整個範例的邏輯。 ``` //! Scenario that uses the AWS SDK for Rust (the SDK) with Amazon Elastic Compute Cloud //! (Amazon EC2) to do the following: //! //! * Create a key pair that is used to secure SSH communication between your computer and //! an EC2 instance. //! * Create a security group that acts as a virtual firewall for your EC2 instances to //! control incoming and outgoing traffic. //! * Find an Amazon Machine Image (AMI) and a compatible instance type. //! * Create an instance that is created from the instance type and AMI you select, and //! is configured to use the security group and key pair created in this example. //! * Stop and restart the instance. //! * Create an Elastic IP address and associate it as a consistent IP address for your instance. //! * Connect to your instance with SSH, using both its public IP address and your Elastic IP //! address. //! * Clean up all of the resources created by this example. use std::net::Ipv4Addr; use crate::{ ec2::{EC2Error, EC2}, getting_started::{key_pair::KeyPairManager, util::Util}, ssm::SSM, }; use aws_sdk_ssm::types::Parameter; use super::{ elastic_ip::ElasticIpManager, instance::InstanceManager, security_group::SecurityGroupManager, util::ScenarioImage, }; pub struct Ec2InstanceScenario { ec2: EC2, ssm: SSM, util: Util, key_pair_manager: KeyPairManager, security_group_manager: SecurityGroupManager, instance_manager: InstanceManager, elastic_ip_manager: ElasticIpManager, } impl Ec2InstanceScenario { pub fn new(ec2: EC2, ssm: SSM, util: Util) -> Self { Ec2InstanceScenario { ec2, ssm, util, key_pair_manager: Default::default(), security_group_manager: Default::default(), instance_manager: Default::default(), elastic_ip_manager: Default::default(), } } pub async fn run(&mut self) -> Result<(), EC2Error> { self.create_and_list_key_pairs().await?; self.create_security_group().await?; self.create_instance().await?; self.stop_and_start_instance().await?; self.associate_elastic_ip().await?; self.stop_and_start_instance().await?; Ok(()) } /// 1. Creates an RSA key pair and saves its private key data as a .pem file in secure /// temporary storage. The private key data is deleted after the example completes. /// 2. Optionally, lists the first five key pairs for the current account. pub async fn create_and_list_key_pairs(&mut self) -> Result<(), EC2Error> { println!( "Let's create an RSA key pair that you can be use to securely connect to your EC2 instance."); let key_name = self.util.prompt_key_name()?; self.key_pair_manager .create(&self.ec2, &self.util, key_name) .await?; println!( "Created a key pair {} and saved the private key to {:?}.", self.key_pair_manager .key_pair() .key_name() .ok_or_else(|| EC2Error::new("No key name after creating key"))?, self.key_pair_manager .key_file_path() .ok_or_else(|| EC2Error::new("No key file after creating key"))? ); if self.util.should_list_key_pairs()? { for pair in self.key_pair_manager.list(&self.ec2).await? { println!( "Found {:?} key {} with fingerprint:\t{:?}", pair.key_type(), pair.key_name().unwrap_or("Unknown"), pair.key_fingerprint() ); } } Ok(()) } /// 1. Creates a security group for the default VPC. /// 2. Adds an inbound rule to allow SSH. The SSH rule allows only /// inbound traffic from the current computer’s public IPv4 address. /// 3. Displays information about the security group. /// /// This function uses to get the current public IP /// address of the computer that is running the example. This method works in most /// cases. However, depending on how your computer connects to the internet, you /// might have to manually add your public IP address to the security group by using /// the AWS Management Console. pub async fn create_security_group(&mut self) -> Result<(), EC2Error> { println!("Let's create a security group to manage access to your instance."); let group_name = self.util.prompt_security_group_name()?; self.security_group_manager .create( &self.ec2, &group_name, "Security group for example: get started with instances.", ) .await?; println!( "Created security group {} in your default VPC {}.", self.security_group_manager.group_name(), self.security_group_manager .vpc_id() .unwrap_or("(unknown vpc)") ); let check_ip = self.util.do_get("https://checkip.amazonaws.com").await?; let current_ip_address: Ipv4Addr = check_ip.trim().parse().map_err(|e| { EC2Error::new(format!( "Failed to convert response {} to IP Address: {e:?}", check_ip )) })?; println!("Your public IP address seems to be {current_ip_address}"); if self.util.should_add_to_security_group() { match self .security_group_manager .authorize_ingress(&self.ec2, current_ip_address) .await { Ok(_) => println!("Security group rules updated"), Err(err) => eprintln!("Couldn't update security group rules: {err:?}"), } } println!("{}", self.security_group_manager); Ok(()) } /// 1. Gets a list of Amazon Linux 2 AMIs from AWS Systems Manager. Specifying the /// '/aws/service/ami-amazon-linux-latest' path returns only the latest AMIs. /// 2. Gets and displays information about the available AMIs and lets you select one. /// 3. Gets a list of instance types that are compatible with the selected AMI and /// lets you select one. /// 4. Creates an instance with the previously created key pair and security group, /// and the selected AMI and instance type. /// 5. Waits for the instance to be running and then displays its information. pub async fn create_instance(&mut self) -> Result<(), EC2Error> { let ami = self.find_image().await?; let instance_types = self .ec2 .list_instance_types(&ami.0) .await .map_err(|e| e.add_message("Could not find instance types"))?; println!( "There are several instance types that support the {} architecture of the image.", ami.0 .architecture .as_ref() .ok_or_else(|| EC2Error::new(format!("Missing architecture in {:?}", ami.0)))? ); let instance_type = self.util.select_instance_type(instance_types)?; println!("Creating your instance and waiting for it to start..."); self.instance_manager .create( &self.ec2, ami.0 .image_id() .ok_or_else(|| EC2Error::new("Could not find image ID"))?, instance_type, self.key_pair_manager.key_pair(), self.security_group_manager .security_group() .map(|sg| vec![sg]) .ok_or_else(|| EC2Error::new("Could not find security group"))?, ) .await .map_err(|e| e.add_message("Scenario failed to create instance"))?; while let Err(err) = self .ec2 .wait_for_instance_ready(self.instance_manager.instance_id(), None) .await { println!("{err}"); if !self.util.should_continue_waiting() { return Err(err); } } println!("Your instance is ready:\n{}", self.instance_manager); self.display_ssh_info(); Ok(()) } async fn find_image(&mut self) -> Result { let params: Vec = self .ssm .list_path("/aws/service/ami-amazon-linux-latest") .await .map_err(|e| e.add_message("Could not find parameters for available images"))? .into_iter() .filter(|param| param.name().is_some_and(|name| name.contains("amzn2"))) .collect(); let amzn2_images: Vec = self .ec2 .list_images(params) .await .map_err(|e| e.add_message("Could not find images"))? .into_iter() .map(ScenarioImage::from) .collect(); println!("We will now create an instance from an Amazon Linux 2 AMI"); let ami = self.util.select_scenario_image(amzn2_images)?; Ok(ami) } // 1. Stops the instance and waits for it to stop. // 2. Starts the instance and waits for it to start. // 3. Displays information about the instance. // 4. Displays an SSH connection string. When an Elastic IP address is associated // with the instance, the IP address stays consistent when the instance stops // and starts. pub async fn stop_and_start_instance(&self) -> Result<(), EC2Error> { println!("Let's stop and start your instance to see what changes."); println!("Stopping your instance and waiting until it's stopped..."); self.instance_manager.stop(&self.ec2).await?; println!("Your instance is stopped. Restarting..."); self.instance_manager.start(&self.ec2).await?; println!("Your instance is running."); println!("{}", self.instance_manager); if self.elastic_ip_manager.public_ip() == "0.0.0.0" { println!("Every time your instance is restarted, its public IP address changes."); } else { println!( "Because you have associated an Elastic IP with your instance, you can connect by using a consistent IP address after the instance restarts." ); } self.display_ssh_info(); Ok(()) } /// 1. Allocates an Elastic IP address and associates it with the instance. /// 2. Displays an SSH connection string that uses the Elastic IP address. async fn associate_elastic_ip(&mut self) -> Result<(), EC2Error> { self.elastic_ip_manager.allocate(&self.ec2).await?; println!( "Allocated static Elastic IP address: {}", self.elastic_ip_manager.public_ip() ); self.elastic_ip_manager .associate(&self.ec2, self.instance_manager.instance_id()) .await?; println!("Associated your Elastic IP with your instance."); println!("You can now use SSH to connect to your instance by using the Elastic IP."); self.display_ssh_info(); Ok(()) } /// Displays an SSH connection string that can be used to connect to a running /// instance. fn display_ssh_info(&self) { let ip_addr = if self.elastic_ip_manager.has_allocation() { self.elastic_ip_manager.public_ip() } else { self.instance_manager.instance_ip() }; let key_file_path = self.key_pair_manager.key_file_path().unwrap(); println!("To connect, open another command prompt and run the following command:"); println!("\nssh -i {} ec2-user@{ip_addr}\n", key_file_path.display()); let _ = self.util.enter_to_continue(); } /// 1. Disassociate and delete the previously created Elastic IP. /// 2. Terminate the previously created instance. /// 3. Delete the previously created security group. /// 4. Delete the previously created key pair. pub async fn clean_up(self) { println!("Let's clean everything up. This example created these resources:"); println!( "\tKey pair: {}", self.key_pair_manager .key_pair() .key_name() .unwrap_or("(unknown key pair)") ); println!( "\tSecurity group: {}", self.security_group_manager.group_name() ); println!( "\tInstance: {}", self.instance_manager.instance_display_name() ); if self.util.should_clean_resources() { if let Err(err) = self.elastic_ip_manager.remove(&self.ec2).await { eprintln!("{err}") } if let Err(err) = self.instance_manager.delete(&self.ec2).await { eprintln!("{err}") } if let Err(err) = self.security_group_manager.delete(&self.ec2).await { eprintln!("{err}"); } if let Err(err) = self.key_pair_manager.delete(&self.ec2, &self.util).await { eprintln!("{err}"); } } else { println!("Ok, not cleaning up any resources!"); } } } pub async fn run(mut scenario: Ec2InstanceScenario) { println!("--------------------------------------------------------------------------------"); println!( "Welcome to the Amazon Elastic Compute Cloud (Amazon EC2) get started with instances demo." ); println!("--------------------------------------------------------------------------------"); if let Err(err) = scenario.run().await { eprintln!("There was an error running the scenario: {err}") } println!("--------------------------------------------------------------------------------"); scenario.clean_up().await; println!("Thanks for running!"); println!("--------------------------------------------------------------------------------"); } ``` EC2Impl 結構用作測試的自動模擬點，其函式會包裝 EC2 SDK 呼叫。 ``` use std::{net::Ipv4Addr, time::Duration}; use aws_sdk_ec2::{ client::Waiters, error::ProvideErrorMetadata, operation::{ allocate_address::AllocateAddressOutput, associate_address::AssociateAddressOutput, }, types::{ DomainType, Filter, Image, Instance, InstanceType, IpPermission, IpRange, KeyPairInfo, SecurityGroup, Tag, }, Client as EC2Client, }; use aws_sdk_ssm::types::Parameter; use aws_smithy_runtime_api::client::waiters::error::WaiterError; #[cfg(test)] use mockall::automock; #[cfg(not(test))] pub use EC2Impl as EC2; #[cfg(test)] pub use MockEC2Impl as EC2; #[derive(Clone)] pub struct EC2Impl { pub client: EC2Client, } #[cfg_attr(test, automock)] impl EC2Impl { pub fn new(client: EC2Client) -> Self { EC2Impl { client } } pub async fn create_key_pair(&self, name: String) -> Result<(KeyPairInfo, String), EC2Error> { tracing::info!("Creating key pair {name}"); let output = self.client.create_key_pair().key_name(name).send().await?; let info = KeyPairInfo::builder() .set_key_name(output.key_name) .set_key_fingerprint(output.key_fingerprint) .set_key_pair_id(output.key_pair_id) .build(); let material = output .key_material .ok_or_else(|| EC2Error::new("Create Key Pair has no key material"))?; Ok((info, material)) } pub async fn list_key_pair(&self) -> Result, EC2Error> { let output = self.client.describe_key_pairs().send().await?; Ok(output.key_pairs.unwrap_or_default()) } pub async fn delete_key_pair(&self, key_name: &str) -> Result<(), EC2Error> { let key_name: String = key_name.into(); tracing::info!("Deleting key pair {key_name}"); self.client .delete_key_pair() .key_name(key_name) .send() .await?; Ok(()) } pub async fn create_security_group( &self, name: &str, description: &str, ) -> Result { tracing::info!("Creating security group {name}"); let create_output = self .client .create_security_group() .group_name(name) .description(description) .send() .await .map_err(EC2Error::from)?; let group_id = create_output .group_id .ok_or_else(|| EC2Error::new("Missing security group id after creation"))?; let group = self .describe_security_group(&group_id) .await? .ok_or_else(|| { EC2Error::new(format!("Could not find security group with id {group_id}")) })?; tracing::info!("Created security group {name} as {group_id}"); Ok(group) } /// Find a single security group, by ID. Returns Err if multiple groups are found. pub async fn describe_security_group( &self, group_id: &str, ) -> Result, EC2Error> { let group_id: String = group_id.into(); let describe_output = self .client .describe_security_groups() .group_ids(&group_id) .send() .await?; let mut groups = describe_output.security_groups.unwrap_or_default(); match groups.len() { 0 => Ok(None), 1 => Ok(Some(groups.remove(0))), _ => Err(EC2Error::new(format!( "Expected single group for {group_id}" ))), } } /// Add an ingress rule to a security group explicitly allowing IPv4 address /// as {ip}/32 over TCP port 22. pub async fn authorize_security_group_ssh_ingress( &self, group_id: &str, ingress_ips: Vec, ) -> Result<(), EC2Error> { tracing::info!("Authorizing ingress for security group {group_id}"); self.client .authorize_security_group_ingress() .group_id(group_id) .set_ip_permissions(Some( ingress_ips .into_iter() .map(|ip| { IpPermission::builder() .ip_protocol("tcp") .from_port(22) .to_port(22) .ip_ranges(IpRange::builder().cidr_ip(format!("{ip}/32")).build()) .build() }) .collect(), )) .send() .await?; Ok(()) } pub async fn delete_security_group(&self, group_id: &str) -> Result<(), EC2Error> { tracing::info!("Deleting security group {group_id}"); self.client .delete_security_group() .group_id(group_id) .send() .await?; Ok(()) } pub async fn list_images(&self, ids: Vec) -> Result, EC2Error> { let image_ids = ids.into_iter().filter_map(|p| p.value).collect(); let output = self .client .describe_images() .set_image_ids(Some(image_ids)) .send() .await?; let images = output.images.unwrap_or_default(); if images.is_empty() { Err(EC2Error::new("No images for selected AMIs")) } else { Ok(images) } } /// List instance types that match an image's architecture and are free tier eligible. pub async fn list_instance_types(&self, image: &Image) -> Result, EC2Error> { let architecture = format!( "{}", image.architecture().ok_or_else(|| EC2Error::new(format!( "Image {:?} does not have a listed architecture", image.image_id() )))? ); let free_tier_eligible_filter = Filter::builder() .name("free-tier-eligible") .values("false") .build(); let supported_architecture_filter = Filter::builder() .name("processor-info.supported-architecture") .values(architecture) .build(); let response = self .client .describe_instance_types() .filters(free_tier_eligible_filter) .filters(supported_architecture_filter) .send() .await?; Ok(response .instance_types .unwrap_or_default() .into_iter() .filter_map(|iti| iti.instance_type) .collect()) } pub async fn create_instance<'a>( &self, image_id: &'a str, instance_type: InstanceType, key_pair: &'a KeyPairInfo, security_groups: Vec<&'a SecurityGroup>, ) -> Result { let run_instances = self .client .run_instances() .image_id(image_id) .instance_type(instance_type) .key_name( key_pair .key_name() .ok_or_else(|| EC2Error::new("Missing key name when launching instance"))?, ) .set_security_group_ids(Some( security_groups .iter() .filter_map(|sg| sg.group_id.clone()) .collect(), )) .min_count(1) .max_count(1) .send() .await?; if run_instances.instances().is_empty() { return Err(EC2Error::new("Failed to create instance")); } let instance_id = run_instances.instances()[0].instance_id().unwrap(); let response = self .client .create_tags() .resources(instance_id) .tags( Tag::builder() .key("Name") .value("From SDK Examples") .build(), ) .send() .await; match response { Ok(_) => tracing::info!("Created {instance_id} and applied tags."), Err(err) => { tracing::info!("Error applying tags to {instance_id}: {err:?}"); return Err(err.into()); } } tracing::info!("Instance is created."); Ok(instance_id.to_string()) } /// Wait for an instance to be ready and status ok (default wait 60 seconds) pub async fn wait_for_instance_ready( &self, instance_id: &str, duration: Option, ) -> Result<(), EC2Error> { self.client .wait_until_instance_status_ok() .instance_ids(instance_id) .wait(duration.unwrap_or(Duration::from_secs(60))) .await .map_err(|err| match err { WaiterError::ExceededMaxWait(exceeded) => EC2Error(format!( "Exceeded max time ({}s) waiting for instance to start.", exceeded.max_wait().as_secs() )), _ => EC2Error::from(err), })?; Ok(()) } pub async fn describe_instance(&self, instance_id: &str) -> Result { let response = self .client .describe_instances() .instance_ids(instance_id) .send() .await?; let instance = response .reservations() .first() .ok_or_else(|| EC2Error::new(format!("No instance reservations for {instance_id}")))? .instances() .first() .ok_or_else(|| { EC2Error::new(format!("No instances in reservation for {instance_id}")) })?; Ok(instance.clone()) } pub async fn start_instance(&self, instance_id: &str) -> Result<(), EC2Error> { tracing::info!("Starting instance {instance_id}"); self.client .start_instances() .instance_ids(instance_id) .send() .await?; tracing::info!("Started instance."); Ok(()) } pub async fn stop_instance(&self, instance_id: &str) -> Result<(), EC2Error> { tracing::info!("Stopping instance {instance_id}"); self.client .stop_instances() .instance_ids(instance_id) .send() .await?; self.wait_for_instance_stopped(instance_id, None).await?; tracing::info!("Stopped instance."); Ok(()) } pub async fn reboot_instance(&self, instance_id: &str) -> Result<(), EC2Error> { tracing::info!("Rebooting instance {instance_id}"); self.client .reboot_instances() .instance_ids(instance_id) .send() .await?; Ok(()) } pub async fn wait_for_instance_stopped( &self, instance_id: &str, duration: Option, ) -> Result<(), EC2Error> { self.client .wait_until_instance_stopped() .instance_ids(instance_id) .wait(duration.unwrap_or(Duration::from_secs(60))) .await .map_err(|err| match err { WaiterError::ExceededMaxWait(exceeded) => EC2Error(format!( "Exceeded max time ({}s) waiting for instance to stop.", exceeded.max_wait().as_secs(), )), _ => EC2Error::from(err), })?; Ok(()) } pub async fn delete_instance(&self, instance_id: &str) -> Result<(), EC2Error> { tracing::info!("Deleting instance with id {instance_id}"); self.stop_instance(instance_id).await?; self.client .terminate_instances() .instance_ids(instance_id) .send() .await?; self.wait_for_instance_terminated(instance_id).await?; tracing::info!("Terminated instance with id {instance_id}"); Ok(()) } async fn wait_for_instance_terminated(&self, instance_id: &str) -> Result<(), EC2Error> { self.client .wait_until_instance_terminated() .instance_ids(instance_id) .wait(Duration::from_secs(60)) .await .map_err(|err| match err { WaiterError::ExceededMaxWait(exceeded) => EC2Error(format!( "Exceeded max time ({}s) waiting for instance to terminate.", exceeded.max_wait().as_secs(), )), _ => EC2Error::from(err), })?; Ok(()) } pub async fn allocate_ip_address(&self) -> Result { self.client .allocate_address() .domain(DomainType::Vpc) .send() .await .map_err(EC2Error::from) } pub async fn deallocate_ip_address(&self, allocation_id: &str) -> Result<(), EC2Error> { self.client .release_address() .allocation_id(allocation_id) .send() .await?; Ok(()) } pub async fn associate_ip_address( &self, allocation_id: &str, instance_id: &str, ) -> Result { let response = self .client .associate_address() .allocation_id(allocation_id) .instance_id(instance_id) .send() .await?; Ok(response) } pub async fn disassociate_ip_address(&self, association_id: &str) -> Result<(), EC2Error> { self.client .disassociate_address() .association_id(association_id) .send() .await?; Ok(()) } } #[derive(Debug)] pub struct EC2Error(String); impl EC2Error { pub fn new(value: impl Into) -> Self { EC2Error(value.into()) } pub fn add_message(self, message: impl Into) -> Self { EC2Error(format!("{}: {}", message.into(), self.0)) } } impl From for EC2Error { fn from(value: T) -> Self { EC2Error(format!( "{}: {}", value .code() .map(String::from) .unwrap_or("unknown code".into()), value .message() .map(String::from) .unwrap_or("missing reason".into()), )) } } impl std::error::Error for EC2Error {} impl std::fmt::Display for EC2Error { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "{}", self.0) } } ``` SSM 結構用作測試的自動模擬點，其函式會包裝 SSM SDK 呼叫。 ``` use aws_sdk_ssm::{types::Parameter, Client}; use aws_smithy_async::future::pagination_stream::TryFlatMap; use crate::ec2::EC2Error; #[cfg(test)] use mockall::automock; #[cfg(not(test))] pub use SSMImpl as SSM; #[cfg(test)] pub use MockSSMImpl as SSM; pub struct SSMImpl { inner: Client, } #[cfg_attr(test, automock)] impl SSMImpl { pub fn new(inner: Client) -> Self { SSMImpl { inner } } pub async fn list_path(&self, path: &str) -> Result, EC2Error> { let maybe_params: Vec> = TryFlatMap::new( self.inner .get_parameters_by_path() .path(path) .into_paginator() .send(), ) .flat_map(|item| item.parameters.unwrap_or_default()) .collect() .await; // Fail on the first error let params = maybe_params .into_iter() .collect::, _>>()?; Ok(params) } } ``` 此案例使用數個 "Manager" 樣式的結構，處理在整個案例中建立和刪除的資源存取。 ``` use aws_sdk_ec2::operation::{ allocate_address::AllocateAddressOutput, associate_address::AssociateAddressOutput, }; use crate::ec2::{EC2Error, EC2}; /// ElasticIpManager tracks the lifecycle of a public IP address, including its /// allocation from the global pool and association with a specific instance. #[derive(Debug, Default)] pub struct ElasticIpManager { elastic_ip: Option, association: Option, } impl ElasticIpManager { pub fn has_allocation(&self) -> bool { self.elastic_ip.is_some() } pub fn public_ip(&self) -> &str { if let Some(allocation) = &self.elastic_ip { if let Some(addr) = allocation.public_ip() { return addr; } } "0.0.0.0" } pub async fn allocate(&mut self, ec2: &EC2) -> Result<(), EC2Error> { let allocation = ec2.allocate_ip_address().await?; self.elastic_ip = Some(allocation); Ok(()) } pub async fn associate(&mut self, ec2: &EC2, instance_id: &str) -> Result<(), EC2Error> { if let Some(allocation) = &self.elastic_ip { if let Some(allocation_id) = allocation.allocation_id() { let association = ec2.associate_ip_address(allocation_id, instance_id).await?; self.association = Some(association); return Ok(()); } } Err(EC2Error::new("No ip address allocation to associate")) } pub async fn remove(mut self, ec2: &EC2) -> Result<(), EC2Error> { if let Some(association) = &self.association { if let Some(association_id) = association.association_id() { ec2.disassociate_ip_address(association_id).await?; } } self.association = None; if let Some(allocation) = &self.elastic_ip { if let Some(allocation_id) = allocation.allocation_id() { ec2.deallocate_ip_address(allocation_id).await?; } } self.elastic_ip = None; Ok(()) } } use std::fmt::Display; use aws_sdk_ec2::types::{Instance, InstanceType, KeyPairInfo, SecurityGroup}; use crate::ec2::{EC2Error, EC2}; /// InstanceManager wraps the lifecycle of an EC2 Instance. #[derive(Debug, Default)] pub struct InstanceManager { instance: Option, } impl InstanceManager { pub fn instance_id(&self) -> &str { if let Some(instance) = &self.instance { if let Some(id) = instance.instance_id() { return id; } } "Unknown" } pub fn instance_name(&self) -> &str { if let Some(instance) = &self.instance { if let Some(tag) = instance.tags().iter().find(|e| e.key() == Some("Name")) { if let Some(value) = tag.value() { return value; } } } "Unknown" } pub fn instance_ip(&self) -> &str { if let Some(instance) = &self.instance { if let Some(public_ip_address) = instance.public_ip_address() { return public_ip_address; } } "0.0.0.0" } pub fn instance_display_name(&self) -> String { format!("{} ({})", self.instance_name(), self.instance_id()) } /// Create an EC2 instance with the given ID on a given type, using a /// generated KeyPair and applying a list of security groups. pub async fn create( &mut self, ec2: &EC2, image_id: &str, instance_type: InstanceType, key_pair: &KeyPairInfo, security_groups: Vec<&SecurityGroup>, ) -> Result<(), EC2Error> { let instance_id = ec2 .create_instance(image_id, instance_type, key_pair, security_groups) .await?; let instance = ec2.describe_instance(&instance_id).await?; self.instance = Some(instance); Ok(()) } /// Start the managed EC2 instance, if present. pub async fn start(&self, ec2: &EC2) -> Result<(), EC2Error> { if self.instance.is_some() { ec2.start_instance(self.instance_id()).await?; } Ok(()) } /// Stop the managed EC2 instance, if present. pub async fn stop(&self, ec2: &EC2) -> Result<(), EC2Error> { if self.instance.is_some() { ec2.stop_instance(self.instance_id()).await?; } Ok(()) } pub async fn reboot(&self, ec2: &EC2) -> Result<(), EC2Error> { if self.instance.is_some() { ec2.reboot_instance(self.instance_id()).await?; ec2.wait_for_instance_stopped(self.instance_id(), None) .await?; ec2.wait_for_instance_ready(self.instance_id(), None) .await?; } Ok(()) } /// Terminate and delete the managed EC2 instance, if present. pub async fn delete(self, ec2: &EC2) -> Result<(), EC2Error> { if self.instance.is_some() { ec2.delete_instance(self.instance_id()).await?; } Ok(()) } } impl Display for InstanceManager { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { if let Some(instance) = &self.instance { writeln!(f, "\tID: {}", instance.instance_id().unwrap_or("(Unknown)"))?; writeln!( f, "\tImage ID: {}", instance.image_id().unwrap_or("(Unknown)") )?; writeln!( f, "\tInstance type: {}", instance .instance_type() .map(|it| format!("{it}")) .unwrap_or("(Unknown)".to_string()) )?; writeln!( f, "\tKey name: {}", instance.key_name().unwrap_or("(Unknown)") )?; writeln!(f, "\tVPC ID: {}", instance.vpc_id().unwrap_or("(Unknown)"))?; writeln!( f, "\tPublic IP: {}", instance.public_ip_address().unwrap_or("(Unknown)") )?; let instance_state = instance .state .as_ref() .map(|is| { is.name() .map(|isn| format!("{isn}")) .unwrap_or("(Unknown)".to_string()) }) .unwrap_or("(Unknown)".to_string()); writeln!(f, "\tState: {instance_state}")?; } else { writeln!(f, "\tNo loaded instance")?; } Ok(()) } } use std::{env, path::PathBuf}; use aws_sdk_ec2::types::KeyPairInfo; use crate::ec2::{EC2Error, EC2}; use super::util::Util; /// KeyPairManager tracks a KeyPairInfo and the path the private key has been /// written to, if it's been created. #[derive(Debug)] pub struct KeyPairManager { key_pair: KeyPairInfo, key_file_path: Option, key_file_dir: PathBuf, } impl KeyPairManager { pub fn new() -> Self { Self::default() } pub fn key_pair(&self) -> &KeyPairInfo { &self.key_pair } pub fn key_file_path(&self) -> Option<&PathBuf> { self.key_file_path.as_ref() } pub fn key_file_dir(&self) -> &PathBuf { &self.key_file_dir } /// Creates a key pair that can be used to securely connect to an EC2 instance. /// The returned key pair contains private key information that cannot be retrieved /// again. The private key data is stored as a .pem file. /// /// :param key_name: The name of the key pair to create. pub async fn create( &mut self, ec2: &EC2, util: &Util, key_name: String, ) -> Result { let (key_pair, material) = ec2.create_key_pair(key_name.clone()).await.map_err(|e| { self.key_pair = KeyPairInfo::builder().key_name(key_name.clone()).build(); e.add_message(format!("Couldn't create key {key_name}")) })?; let path = self.key_file_dir.join(format!("{key_name}.pem")); // Save the key_pair information immediately, so it can get cleaned up if write_secure fails. self.key_file_path = Some(path.clone()); self.key_pair = key_pair.clone(); util.write_secure(&key_name, &path, material)?; Ok(key_pair) } pub async fn delete(self, ec2: &EC2, util: &Util) -> Result<(), EC2Error> { if let Some(key_name) = self.key_pair.key_name() { ec2.delete_key_pair(key_name).await?; if let Some(key_path) = self.key_file_path() { if let Err(err) = util.remove(key_path) { eprintln!("Failed to remove {key_path:?} ({err:?})"); } } } Ok(()) } pub async fn list(&self, ec2: &EC2) -> Result, EC2Error> { ec2.list_key_pair().await } } impl Default for KeyPairManager { fn default() -> Self { KeyPairManager { key_pair: KeyPairInfo::builder().build(), key_file_path: Default::default(), key_file_dir: env::temp_dir(), } } } use std::net::Ipv4Addr; use aws_sdk_ec2::types::SecurityGroup; use crate::ec2::{EC2Error, EC2}; /// SecurityGroupManager tracks the lifecycle of a SecurityGroup for an instance, /// including adding a rule to allow SSH from a public IP address. #[derive(Debug, Default)] pub struct SecurityGroupManager { group_name: String, group_description: String, security_group: Option, } impl SecurityGroupManager { pub async fn create( &mut self, ec2: &EC2, group_name: &str, group_description: &str, ) -> Result<(), EC2Error> { self.group_name = group_name.into(); self.group_description = group_description.into(); self.security_group = Some( ec2.create_security_group(group_name, group_description) .await .map_err(|e| e.add_message("Couldn't create security group"))?, ); Ok(()) } pub async fn authorize_ingress(&self, ec2: &EC2, ip_address: Ipv4Addr) -> Result<(), EC2Error> { if let Some(sg) = &self.security_group { ec2.authorize_security_group_ssh_ingress( sg.group_id() .ok_or_else(|| EC2Error::new("Missing security group ID"))?, vec![ip_address], ) .await?; }; Ok(()) } pub async fn delete(self, ec2: &EC2) -> Result<(), EC2Error> { if let Some(sg) = &self.security_group { ec2.delete_security_group( sg.group_id() .ok_or_else(|| EC2Error::new("Missing security group ID"))?, ) .await?; }; Ok(()) } pub fn group_name(&self) -> &str { &self.group_name } pub fn vpc_id(&self) -> Option<&str> { self.security_group.as_ref().and_then(|sg| sg.vpc_id()) } pub fn security_group(&self) -> Option<&SecurityGroup> { self.security_group.as_ref() } } impl std::fmt::Display for SecurityGroupManager { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { match &self.security_group { Some(sg) => { writeln!( f, "Security group: {}", sg.group_name().unwrap_or("(unknown group)") )?; writeln!(f, "\tID: {}", sg.group_id().unwrap_or("(unknown group id)"))?; writeln!(f, "\tVPC: {}", sg.vpc_id().unwrap_or("(unknown group vpc)"))?; if !sg.ip_permissions().is_empty() { writeln!(f, "\tInbound Permissions:")?; for permission in sg.ip_permissions() { writeln!(f, "\t\t{permission:?}")?; } } Ok(()) } None => writeln!(f, "No security group loaded."), } } } ``` 案例的主要進入點。 ``` use ec2_code_examples::{ ec2::EC2, getting_started::{ scenario::{run, Ec2InstanceScenario}, util::UtilImpl, }, ssm::SSM, }; #[tokio::main] async fn main() { tracing_subscriber::fmt::init(); let sdk_config = aws_config::load_from_env().await; let ec2 = EC2::new(aws_sdk_ec2::Client::new(&sdk_config)); let ssm = SSM::new(aws_sdk_ssm::Client::new(&sdk_config)); let util = UtilImpl {}; let scenario = Ec2InstanceScenario::new(ec2, ssm, util); run(scenario).await; } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的下列主題。 + [AllocateAddress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.allocate_address) + [AssociateAddress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.associate_address) + [AuthorizeSecurityGroupIngress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.authorize_security_group_ingress) + [CreateKeyPair](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.create_key_pair) + [CreateSecurityGroup](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.create_security_group) + [DeleteKeyPair](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.delete_key_pair) + [DeleteSecurityGroup](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.delete_security_group) + [DescribeImages](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_images) + [DescribeInstanceTypes](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_instance_types) + [DescribeInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_instances) + [DescribeKeyPairs](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_key_pairs) + [DescribeSecurityGroups](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_security_groups) + [DisassociateAddress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.disassociate_address) + [ReleaseAddress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.release_address) + [RunInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.run_instances) + [StartInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.start_instances) + [StopInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.stop_instances) + [TerminateInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.terminate_instances) + [UnmonitorInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.unmonitor_instances) ## 動作 ### `AllocateAddress` 以下程式碼範例顯示如何使用 `AllocateAddress`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn allocate_ip_address(&self) -> Result { self.client .allocate_address() .domain(DomainType::Vpc) .send() .await .map_err(EC2Error::from) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [AllocateAddress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.allocate_address)。 ### `AssociateAddress` 以下程式碼範例顯示如何使用 `AssociateAddress`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn associate_ip_address( &self, allocation_id: &str, instance_id: &str, ) -> Result { let response = self .client .associate_address() .allocation_id(allocation_id) .instance_id(instance_id) .send() .await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [AssociateAddress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.associate_address)。 ### `AuthorizeSecurityGroupIngress` 以下程式碼範例顯示如何使用 `AuthorizeSecurityGroupIngress`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` /// Add an ingress rule to a security group explicitly allowing IPv4 address /// as {ip}/32 over TCP port 22. pub async fn authorize_security_group_ssh_ingress( &self, group_id: &str, ingress_ips: Vec, ) -> Result<(), EC2Error> { tracing::info!("Authorizing ingress for security group {group_id}"); self.client .authorize_security_group_ingress() .group_id(group_id) .set_ip_permissions(Some( ingress_ips .into_iter() .map(|ip| { IpPermission::builder() .ip_protocol("tcp") .from_port(22) .to_port(22) .ip_ranges(IpRange::builder().cidr_ip(format!("{ip}/32")).build()) .build() }) .collect(), )) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [AuthorizeSecurityGroupIngress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.authorize_security_group_ingress)。 ### `CreateKeyPair` 以下程式碼範例顯示如何使用 `CreateKeyPair`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 Rust 實作會呼叫 EC2 用戶端的 create\$1key\$1pair，並擷取傳回的資料。 ``` pub async fn create_key_pair(&self, name: String) -> Result<(KeyPairInfo, String), EC2Error> { tracing::info!("Creating key pair {name}"); let output = self.client.create_key_pair().key_name(name).send().await?; let info = KeyPairInfo::builder() .set_key_name(output.key_name) .set_key_fingerprint(output.key_fingerprint) .set_key_pair_id(output.key_pair_id) .build(); let material = output .key_material .ok_or_else(|| EC2Error::new("Create Key Pair has no key material"))?; Ok((info, material)) } ``` 一種會呼叫 create\$1key impl，並安全地儲存 PEM 私有金鑰的函數。 ``` /// Creates a key pair that can be used to securely connect to an EC2 instance. /// The returned key pair contains private key information that cannot be retrieved /// again. The private key data is stored as a .pem file. /// /// :param key_name: The name of the key pair to create. pub async fn create( &mut self, ec2: &EC2, util: &Util, key_name: String, ) -> Result { let (key_pair, material) = ec2.create_key_pair(key_name.clone()).await.map_err(|e| { self.key_pair = KeyPairInfo::builder().key_name(key_name.clone()).build(); e.add_message(format!("Couldn't create key {key_name}")) })?; let path = self.key_file_dir.join(format!("{key_name}.pem")); // Save the key_pair information immediately, so it can get cleaned up if write_secure fails. self.key_file_path = Some(path.clone()); self.key_pair = key_pair.clone(); util.write_secure(&key_name, &path, material)?; Ok(key_pair) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateKeyPair](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.create_key_pair)。 ### `CreateSecurityGroup` 以下程式碼範例顯示如何使用 `CreateSecurityGroup`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn create_security_group( &self, name: &str, description: &str, ) -> Result { tracing::info!("Creating security group {name}"); let create_output = self .client .create_security_group() .group_name(name) .description(description) .send() .await .map_err(EC2Error::from)?; let group_id = create_output .group_id .ok_or_else(|| EC2Error::new("Missing security group id after creation"))?; let group = self .describe_security_group(&group_id) .await? .ok_or_else(|| { EC2Error::new(format!("Could not find security group with id {group_id}")) })?; tracing::info!("Created security group {name} as {group_id}"); Ok(group) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateSecurityGroup](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.create_security_group)。 ### `CreateTags` 以下程式碼範例顯示如何使用 `CreateTags`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 此範例會在建立執行個體後套用名稱標籤。 ``` pub async fn create_instance<'a>( &self, image_id: &'a str, instance_type: InstanceType, key_pair: &'a KeyPairInfo, security_groups: Vec<&'a SecurityGroup>, ) -> Result { let run_instances = self .client .run_instances() .image_id(image_id) .instance_type(instance_type) .key_name( key_pair .key_name() .ok_or_else(|| EC2Error::new("Missing key name when launching instance"))?, ) .set_security_group_ids(Some( security_groups .iter() .filter_map(|sg| sg.group_id.clone()) .collect(), )) .min_count(1) .max_count(1) .send() .await?; if run_instances.instances().is_empty() { return Err(EC2Error::new("Failed to create instance")); } let instance_id = run_instances.instances()[0].instance_id().unwrap(); let response = self .client .create_tags() .resources(instance_id) .tags( Tag::builder() .key("Name") .value("From SDK Examples") .build(), ) .send() .await; match response { Ok(_) => tracing::info!("Created {instance_id} and applied tags."), Err(err) => { tracing::info!("Error applying tags to {instance_id}: {err:?}"); return Err(err.into()); } } tracing::info!("Instance is created."); Ok(instance_id.to_string()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateTags](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.create_tags)。 ### `DeleteKeyPair` 以下程式碼範例顯示如何使用 `DeleteKeyPair`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 包裝 delete\$1key 的函式也會移除後備私有 PEM 金鑰。 ``` pub async fn delete(self, ec2: &EC2, util: &Util) -> Result<(), EC2Error> { if let Some(key_name) = self.key_pair.key_name() { ec2.delete_key_pair(key_name).await?; if let Some(key_path) = self.key_file_path() { if let Err(err) = util.remove(key_path) { eprintln!("Failed to remove {key_path:?} ({err:?})"); } } } Ok(()) } ``` ``` pub async fn delete_key_pair(&self, key_name: &str) -> Result<(), EC2Error> { let key_name: String = key_name.into(); tracing::info!("Deleting key pair {key_name}"); self.client .delete_key_pair() .key_name(key_name) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DeleteKeyPair](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.delete_key_pair)。 ### `DeleteSecurityGroup` 以下程式碼範例顯示如何使用 `DeleteSecurityGroup`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn delete_security_group(&self, group_id: &str) -> Result<(), EC2Error> { tracing::info!("Deleting security group {group_id}"); self.client .delete_security_group() .group_id(group_id) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DeleteSecurityGroup](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.delete_security_group)。 ### `DeleteSnapshot` 以下程式碼範例顯示如何使用 `DeleteSnapshot`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ebs#code-examples)中設定和執行。 ``` async fn delete_snapshot(client: &Client, id: &str) -> Result<(), Error> { client.delete_snapshot().snapshot_id(id).send().await?; println!("Deleted"); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的 AWS  SDK API 參考》**中的 [DeleteSnapshot](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.delete_snapshot)。 ### `DescribeImages` 以下程式碼範例顯示如何使用 `DescribeImages`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn list_images(&self, ids: Vec) -> Result, EC2Error> { let image_ids = ids.into_iter().filter_map(|p| p.value).collect(); let output = self .client .describe_images() .set_image_ids(Some(image_ids)) .send() .await?; let images = output.images.unwrap_or_default(); if images.is_empty() { Err(EC2Error::new("No images for selected AMIs")) } else { Ok(images) } } ``` 搭配使用 list\$1images 函數和 SSM，以根據您的環境施以限制。如需 SSM 的詳細資訊，請參閱 https://docs.aws.amazon.com/systems-manager/latest/userguide/example\$1ssm\$1GetParameters\$1section.html。 ``` async fn find_image(&mut self) -> Result { let params: Vec = self .ssm .list_path("/aws/service/ami-amazon-linux-latest") .await .map_err(|e| e.add_message("Could not find parameters for available images"))? .into_iter() .filter(|param| param.name().is_some_and(|name| name.contains("amzn2"))) .collect(); let amzn2_images: Vec = self .ec2 .list_images(params) .await .map_err(|e| e.add_message("Could not find images"))? .into_iter() .map(ScenarioImage::from) .collect(); println!("We will now create an instance from an Amazon Linux 2 AMI"); let ami = self.util.select_scenario_image(amzn2_images)?; Ok(ami) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeImages](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_images)。 ### `DescribeInstanceStatus` 以下程式碼範例顯示如何使用 `DescribeInstanceStatus`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` async fn show_all_events(client: &Client) -> Result<(), Error> { let resp = client.describe_regions().send().await.unwrap(); for region in resp.regions.unwrap_or_default() { let reg: &'static str = Box::leak(Box::from(region.region_name().unwrap())); let region_provider = RegionProviderChain::default_provider().or_else(reg); let config = aws_config::from_env().region(region_provider).load().await; let new_client = Client::new(&config); let resp = new_client.describe_instance_status().send().await; println!("Instances in region {}:", reg); println!(); for status in resp.unwrap().instance_statuses() { println!( " Events scheduled for instance ID: {}", status.instance_id().unwrap_or_default() ); for event in status.events() { println!(" Event ID: {}", event.instance_event_id().unwrap()); println!(" Description: {}", event.description().unwrap()); println!(" Event code: {}", event.code().unwrap().as_ref()); println!(); } } } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的 AWS  SDK API 參考》**中的 [DescribeInstanceStatus](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_instance_status)。 ### `DescribeInstanceTypes` 以下程式碼範例顯示如何使用 `DescribeInstanceTypes`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` /// List instance types that match an image's architecture and are free tier eligible. pub async fn list_instance_types(&self, image: &Image) -> Result, EC2Error> { let architecture = format!( "{}", image.architecture().ok_or_else(|| EC2Error::new(format!( "Image {:?} does not have a listed architecture", image.image_id() )))? ); let free_tier_eligible_filter = Filter::builder() .name("free-tier-eligible") .values("false") .build(); let supported_architecture_filter = Filter::builder() .name("processor-info.supported-architecture") .values(architecture) .build(); let response = self .client .describe_instance_types() .filters(free_tier_eligible_filter) .filters(supported_architecture_filter) .send() .await?; Ok(response .instance_types .unwrap_or_default() .into_iter() .filter_map(|iti| iti.instance_type) .collect()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeInstanceTypes](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_instance_types)。 ### `DescribeInstances` 以下程式碼範例顯示如何使用 `DescribeInstances`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 擷取 EC2 執行個體的詳細資訊。 ``` pub async fn describe_instance(&self, instance_id: &str) -> Result { let response = self .client .describe_instances() .instance_ids(instance_id) .send() .await?; let instance = response .reservations() .first() .ok_or_else(|| EC2Error::new(format!("No instance reservations for {instance_id}")))? .instances() .first() .ok_or_else(|| { EC2Error::new(format!("No instances in reservation for {instance_id}")) })?; Ok(instance.clone()) } ``` 建立 EC2 執行個體之後，擷取並儲存其詳細資訊。 ``` /// Create an EC2 instance with the given ID on a given type, using a /// generated KeyPair and applying a list of security groups. pub async fn create( &mut self, ec2: &EC2, image_id: &str, instance_type: InstanceType, key_pair: &KeyPairInfo, security_groups: Vec<&SecurityGroup>, ) -> Result<(), EC2Error> { let instance_id = ec2 .create_instance(image_id, instance_type, key_pair, security_groups) .await?; let instance = ec2.describe_instance(&instance_id).await?; self.instance = Some(instance); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的 AWS  SDK API 參考》**中的 [DescribeInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_instances)。 ### `DescribeKeyPairs` 以下程式碼範例顯示如何使用 `DescribeKeyPairs`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn list_key_pair(&self) -> Result, EC2Error> { let output = self.client.describe_key_pairs().send().await?; Ok(output.key_pairs.unwrap_or_default()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeKeyPairs](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_key_pairs)。 ### `DescribeRegions` 以下程式碼範例顯示如何使用 `DescribeRegions`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` async fn show_regions(client: &Client) -> Result<(), Error> { let rsp = client.describe_regions().send().await?; println!("Regions:"); for region in rsp.regions() { println!(" {}", region.region_name().unwrap()); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的 AWS  SDK API 參考》**中的 [DescribeRegions](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_regions)。 ### `DescribeSecurityGroups` 以下程式碼範例顯示如何使用 `DescribeSecurityGroups`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` async fn show_security_groups(client: &aws_sdk_ec2::Client, group_ids: Vec) { let response = client .describe_security_groups() .set_group_ids(Some(group_ids)) .send() .await; match response { Ok(output) => { for group in output.security_groups() { println!( "Found Security Group {} ({}), vpc id {} and description {}", group.group_name().unwrap_or("unknown"), group.group_id().unwrap_or("id-unknown"), group.vpc_id().unwrap_or("vpcid-unknown"), group.description().unwrap_or("(none)") ); } } Err(err) => { let err = err.into_service_error(); let meta = err.meta(); let message = meta.message().unwrap_or("unknown"); let code = meta.code().unwrap_or("unknown"); eprintln!("Error listing EC2 Security Groups: ({code}) {message}"); } } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeSecurityGroups](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_security_groups)。 ### `DescribeSnapshots` 以下程式碼範例顯示如何使用 `DescribeSnapshots`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ebs#code-examples)中設定和執行。 顯示快照的狀態。 ``` async fn show_state(client: &Client, id: &str) -> Result<(), Error> { let resp = client .describe_snapshots() .filters(Filter::builder().name("snapshot-id").values(id).build()) .send() .await?; println!( "State: {}", resp.snapshots().first().unwrap().state().unwrap().as_ref() ); Ok(()) } ``` ``` async fn show_snapshots(client: &Client) -> Result<(), Error> { // "self" represents your account ID. // You can list the snapshots for any account by replacing // "self" with that account ID. let resp = client.describe_snapshots().owner_ids("self").send().await?; let snapshots = resp.snapshots(); let length = snapshots.len(); for snapshot in snapshots { println!( "ID: {}", snapshot.snapshot_id().unwrap_or_default() ); println!( "Description: {}", snapshot.description().unwrap_or_default() ); println!("State: {}", snapshot.state().unwrap().as_ref()); println!(); } println!(); println!("Found {} snapshot(s)", length); println!(); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的 AWS  SDK API 參考》**中的 [DescribeSnapshots](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.describe_snapshots)。 ### `DisassociateAddress` 以下程式碼範例顯示如何使用 `DisassociateAddress`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn disassociate_ip_address(&self, association_id: &str) -> Result<(), EC2Error> { self.client .disassociate_address() .association_id(association_id) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DisassociateAddress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.disassociate_address)。 ### `RebootInstances` 以下程式碼範例顯示如何使用 `RebootInstances`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn reboot(&self, ec2: &EC2) -> Result<(), EC2Error> { if self.instance.is_some() { ec2.reboot_instance(self.instance_id()).await?; ec2.wait_for_instance_stopped(self.instance_id(), None) .await?; ec2.wait_for_instance_ready(self.instance_id(), None) .await?; } Ok(()) } ``` ``` pub async fn reboot_instance(&self, instance_id: &str) -> Result<(), EC2Error> { tracing::info!("Rebooting instance {instance_id}"); self.client .reboot_instances() .instance_ids(instance_id) .send() .await?; Ok(()) } ``` 一種使用 Waiters API，讓執行個體處於已停止和就緒狀態的等待程式。使用 Waiters API 時，需要在 rust 檔案中使用 `use aws\$1sdk\$1ec2::client::Waiters`。 ``` /// Wait for an instance to be ready and status ok (default wait 60 seconds) pub async fn wait_for_instance_ready( &self, instance_id: &str, duration: Option, ) -> Result<(), EC2Error> { self.client .wait_until_instance_status_ok() .instance_ids(instance_id) .wait(duration.unwrap_or(Duration::from_secs(60))) .await .map_err(|err| match err { WaiterError::ExceededMaxWait(exceeded) => EC2Error(format!( "Exceeded max time ({}s) waiting for instance to start.", exceeded.max_wait().as_secs() )), _ => EC2Error::from(err), })?; Ok(()) } pub async fn wait_for_instance_stopped( &self, instance_id: &str, duration: Option, ) -> Result<(), EC2Error> { self.client .wait_until_instance_stopped() .instance_ids(instance_id) .wait(duration.unwrap_or(Duration::from_secs(60))) .await .map_err(|err| match err { WaiterError::ExceededMaxWait(exceeded) => EC2Error(format!( "Exceeded max time ({}s) waiting for instance to stop.", exceeded.max_wait().as_secs(), )), _ => EC2Error::from(err), })?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的 AWS  SDK API 參考》**中的 [RebootInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.reboot_instances)。 ### `ReleaseAddress` 以下程式碼範例顯示如何使用 `ReleaseAddress`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn deallocate_ip_address(&self, allocation_id: &str) -> Result<(), EC2Error> { self.client .release_address() .allocation_id(allocation_id) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ReleaseAddress](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.release_address)。 ### `RunInstances` 以下程式碼範例顯示如何使用 `RunInstances`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn create_instance<'a>( &self, image_id: &'a str, instance_type: InstanceType, key_pair: &'a KeyPairInfo, security_groups: Vec<&'a SecurityGroup>, ) -> Result { let run_instances = self .client .run_instances() .image_id(image_id) .instance_type(instance_type) .key_name( key_pair .key_name() .ok_or_else(|| EC2Error::new("Missing key name when launching instance"))?, ) .set_security_group_ids(Some( security_groups .iter() .filter_map(|sg| sg.group_id.clone()) .collect(), )) .min_count(1) .max_count(1) .send() .await?; if run_instances.instances().is_empty() { return Err(EC2Error::new("Failed to create instance")); } let instance_id = run_instances.instances()[0].instance_id().unwrap(); let response = self .client .create_tags() .resources(instance_id) .tags( Tag::builder() .key("Name") .value("From SDK Examples") .build(), ) .send() .await; match response { Ok(_) => tracing::info!("Created {instance_id} and applied tags."), Err(err) => { tracing::info!("Error applying tags to {instance_id}: {err:?}"); return Err(err.into()); } } tracing::info!("Instance is created."); Ok(instance_id.to_string()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考**》中的 [RunInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.run_instances)。 ### `StartInstances` 以下程式碼範例顯示如何使用 `StartInstances`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 依執行個體 ID 啟動 EC2 執行個體。 ``` pub async fn start_instance(&self, instance_id: &str) -> Result<(), EC2Error> { tracing::info!("Starting instance {instance_id}"); self.client .start_instances() .instance_ids(instance_id) .send() .await?; tracing::info!("Started instance."); Ok(()) } ``` 使用 Waiters API，等待執行個體處於就緒和良好狀態。使用 Waiters API 時，需要在 rust 檔案中使用 `use aws\$1sdk\$1ec2::client::Waiters`。 ``` /// Wait for an instance to be ready and status ok (default wait 60 seconds) pub async fn wait_for_instance_ready( &self, instance_id: &str, duration: Option, ) -> Result<(), EC2Error> { self.client .wait_until_instance_status_ok() .instance_ids(instance_id) .wait(duration.unwrap_or(Duration::from_secs(60))) .await .map_err(|err| match err { WaiterError::ExceededMaxWait(exceeded) => EC2Error(format!( "Exceeded max time ({}s) waiting for instance to start.", exceeded.max_wait().as_secs() )), _ => EC2Error::from(err), })?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的 AWS  SDK API 參考》**中的 [StartInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.start_instances)。 ### `StopInstances` 以下程式碼範例顯示如何使用 `StopInstances`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn stop_instance(&self, instance_id: &str) -> Result<(), EC2Error> { tracing::info!("Stopping instance {instance_id}"); self.client .stop_instances() .instance_ids(instance_id) .send() .await?; self.wait_for_instance_stopped(instance_id, None).await?; tracing::info!("Stopped instance."); Ok(()) } ``` 使用 Waiters API，等待執行個體處於停止狀態。使用 Waiters API 時，需要在 rust 檔案中使用 `use aws\$1sdk\$1ec2::client::Waiters`。 ``` pub async fn stop_instance(&self, instance_id: &str) -> Result<(), EC2Error> { tracing::info!("Stopping instance {instance_id}"); self.client .stop_instances() .instance_ids(instance_id) .send() .await?; self.wait_for_instance_stopped(instance_id, None).await?; tracing::info!("Stopped instance."); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的 AWS  SDK API 參考》**中的 [StopInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.stop_instances)。 ### `TerminateInstances` 以下程式碼範例顯示如何使用 `TerminateInstances`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ec2#code-examples)中設定和執行。 ``` pub async fn delete_instance(&self, instance_id: &str) -> Result<(), EC2Error> { tracing::info!("Deleting instance with id {instance_id}"); self.stop_instance(instance_id).await?; self.client .terminate_instances() .instance_ids(instance_id) .send() .await?; self.wait_for_instance_terminated(instance_id).await?; tracing::info!("Terminated instance with id {instance_id}"); Ok(()) } ``` 使用 Waiters API，等待執行個體處於終止狀態。使用 Waiters API 時，需要在 rust 檔案中使用 `use aws\$1sdk\$1ec2::client::Waiters`。 ``` async fn wait_for_instance_terminated(&self, instance_id: &str) -> Result<(), EC2Error> { self.client .wait_until_instance_terminated() .instance_ids(instance_id) .wait(Duration::from_secs(60)) .await .map_err(|err| match err { WaiterError::ExceededMaxWait(exceeded) => EC2Error(format!( "Exceeded max time ({}s) waiting for instance to terminate.", exceeded.max_wait().as_secs(), )), _ => EC2Error::from(err), })?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [TerminateInstances](https://docs.rs/aws-sdk-ec2/latest/aws_sdk_ec2/client/struct.Client.html#method.terminate_instances)。 # 使用 SDK for Rust 的 Amazon ECR 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon ECR 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `DescribeRepositories` 以下程式碼範例顯示如何使用 `DescribeRepositories`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ecr#code-examples)中設定和執行。 ``` async fn show_repos(client: &aws_sdk_ecr::Client) -> Result<(), aws_sdk_ecr::Error> { let rsp = client.describe_repositories().send().await?; let repos = rsp.repositories(); println!("Found {} repositories:", repos.len()); for repo in repos { println!(" ARN: {}", repo.repository_arn().unwrap()); println!(" Name: {}", repo.repository_name().unwrap()); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeRepositories](https://docs.rs/aws-sdk-ecr/latest/aws_sdk_ecr/client/struct.Client.html#method.describe_repositories)。 ### `ListImages` 以下程式碼範例顯示如何使用 `ListImages`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ecr#code-examples)中設定和執行。 ``` async fn show_images( client: &aws_sdk_ecr::Client, repository: &str, ) -> Result<(), aws_sdk_ecr::Error> { let rsp = client .list_images() .repository_name(repository) .send() .await?; let images = rsp.image_ids(); println!("found {} images", images.len()); for image in images { println!( "image: {}:{}", image.image_tag().unwrap(), image.image_digest().unwrap() ); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListImages](https://docs.rs/aws-sdk-ecr/latest/aws_sdk_ecr/client/struct.Client.html#method.list_images)。 # 使用 SDK for Rust 的 Amazon ECS 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon ECS 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `CreateCluster` 以下程式碼範例顯示如何使用 `CreateCluster`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ecs#code-examples)中設定和執行。 ``` async fn make_cluster(client: &aws_sdk_ecs::Client, name: &str) -> Result<(), aws_sdk_ecs::Error> { let cluster = client.create_cluster().cluster_name(name).send().await?; println!("cluster created: {:?}", cluster); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateCluster](https://docs.rs/aws-sdk-ecs/latest/aws_sdk_ecs/client/struct.Client.html#method.create_cluster)。 ### `DeleteCluster` 以下程式碼範例顯示如何使用 `DeleteCluster`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ecs#code-examples)中設定和執行。 ``` async fn remove_cluster( client: &aws_sdk_ecs::Client, name: &str, ) -> Result<(), aws_sdk_ecs::Error> { let cluster_deleted = client.delete_cluster().cluster(name).send().await?; println!("cluster deleted: {:?}", cluster_deleted); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DeleteCluster](https://docs.rs/aws-sdk-ecs/latest/aws_sdk_ecs/client/struct.Client.html#method.delete_cluster)。 ### `DescribeClusters` 以下程式碼範例顯示如何使用 `DescribeClusters`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ecs#code-examples)中設定和執行。 ``` async fn show_clusters(client: &aws_sdk_ecs::Client) -> Result<(), aws_sdk_ecs::Error> { let resp = client.list_clusters().send().await?; let cluster_arns = resp.cluster_arns(); println!("Found {} clusters:", cluster_arns.len()); let clusters = client .describe_clusters() .set_clusters(Some(cluster_arns.into())) .send() .await?; for cluster in clusters.clusters() { println!(" ARN: {}", cluster.cluster_arn().unwrap()); println!(" Name: {}", cluster.cluster_name().unwrap()); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeClusters](https://docs.rs/aws-sdk-ecs/latest/aws_sdk_ecs/client/struct.Client.html#method.describe_clusters)。 # 使用 SDK for Rust 的 Amazon EKS 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon EKS 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `CreateCluster` 以下程式碼範例顯示如何使用 `CreateCluster`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/eks#code-examples)中設定和執行。 ``` async fn make_cluster( client: &aws_sdk_eks::Client, name: &str, arn: &str, subnet_ids: Vec, ) -> Result<(), aws_sdk_eks::Error> { let cluster = client .create_cluster() .name(name) .role_arn(arn) .resources_vpc_config( VpcConfigRequest::builder() .set_subnet_ids(Some(subnet_ids)) .build(), ) .send() .await?; println!("cluster created: {:?}", cluster); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateCluster](https://docs.rs/aws-sdk-eks/latest/aws_sdk_eks/client/struct.Client.html#method.create_cluster)。 ### `DeleteCluster` 以下程式碼範例顯示如何使用 `DeleteCluster`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/eks#code-examples)中設定和執行。 ``` async fn remove_cluster( client: &aws_sdk_eks::Client, name: &str, ) -> Result<(), aws_sdk_eks::Error> { let cluster_deleted = client.delete_cluster().name(name).send().await?; println!("cluster deleted: {:?}", cluster_deleted); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DeleteCluster](https://docs.rs/aws-sdk-eks/latest/aws_sdk_eks/client/struct.Client.html#method.delete_cluster)。 # AWS Glue 使用 SDK for Rust 的範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 來執行動作和實作常見案例 AWS Glue。 *基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [開始使用](#get_started) + [基本概念](#basics) + [動作](#actions) ## 開始使用 ### 您好 AWS Glue 下列程式碼範例示範如何開始使用 AWS Glue。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let mut list_jobs = glue.list_jobs().into_paginator().send(); while let Some(list_jobs_output) = list_jobs.next().await { match list_jobs_output { Ok(list_jobs) => { let names = list_jobs.job_names(); info!(?names, "Found these jobs") } Err(err) => return Err(GlueMvpError::from_glue_sdk(err)), } } ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [ListJobs](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.list_jobs)。 ## 基本概念 ### 了解基本概念 以下程式碼範例顯示做法： + 建立網路爬取公有 Amazon S3 儲存貯體的爬蟲程式，以及產生 CSV 格式中繼資料的資料庫。 + 列出 中資料庫和資料表的相關資訊 AWS Glue Data Catalog。 + 建立從 S3 儲存貯體中擷取 CSV 資料的任務、轉換資料，以及將 JSON 格式的輸出載入至另一個 S3 儲存貯體。 + 列出任務執行的相關資訊、檢視已轉換的資料以及清除資源。 如需詳細資訊，請參閱[教學課程： AWS Glue Studio 入門](https://docs.aws.amazon.com/glue/latest/ug/tutorial-create-job.html)。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 建立並執行可網路爬取公有 Amazon Simple Storage Service (Amazon S3) 儲存貯體的爬蟲程式，並產生描述其所尋找 CSV 格式資料的中繼資料的資料庫。 ``` let create_crawler = glue .create_crawler() .name(self.crawler()) .database_name(self.database()) .role(self.iam_role.expose_secret()) .targets( CrawlerTargets::builder() .s3_targets(S3Target::builder().path(CRAWLER_TARGET).build()) .build(), ) .send() .await; match create_crawler { Err(err) => { let glue_err: aws_sdk_glue::Error = err.into(); match glue_err { aws_sdk_glue::Error::AlreadyExistsException(_) => { info!("Using existing crawler"); Ok(()) } _ => Err(GlueMvpError::GlueSdk(glue_err)), } } Ok(_) => Ok(()), }?; let start_crawler = glue.start_crawler().name(self.crawler()).send().await; match start_crawler { Ok(_) => Ok(()), Err(err) => { let glue_err: aws_sdk_glue::Error = err.into(); match glue_err { aws_sdk_glue::Error::CrawlerRunningException(_) => Ok(()), _ => Err(GlueMvpError::GlueSdk(glue_err)), } } }?; ``` 列出 中資料庫和資料表的相關資訊 AWS Glue Data Catalog。 ``` let database = glue .get_database() .name(self.database()) .send() .await .map_err(GlueMvpError::from_glue_sdk)? .to_owned(); let database = database .database() .ok_or_else(|| GlueMvpError::Unknown("Could not find database".into()))?; let tables = glue .get_tables() .database_name(self.database()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; let tables = tables.table_list(); ``` 建立並執行從來源 Amazon S3 儲存貯體中擷取 CSV 資料的任務、透過移除和重新命名欄位進行轉換，以及將 JSON 格式的輸出載入另一個 Amazon S3 儲存貯體。 ``` let create_job = glue .create_job() .name(self.job()) .role(self.iam_role.expose_secret()) .command( JobCommand::builder() .name("glueetl") .python_version("3") .script_location(format!("s3://{}/job.py", self.bucket())) .build(), ) .glue_version("3.0") .send() .await .map_err(GlueMvpError::from_glue_sdk)?; let job_name = create_job.name().ok_or_else(|| { GlueMvpError::Unknown("Did not get job name after creating job".into()) })?; let job_run_output = glue .start_job_run() .job_name(self.job()) .arguments("--input_database", self.database()) .arguments( "--input_table", self.tables .first() .ok_or_else(|| GlueMvpError::Unknown("Missing crawler table".into()))? .name(), ) .arguments("--output_bucket_url", self.bucket()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; let job = job_run_output .job_run_id() .ok_or_else(|| GlueMvpError::Unknown("Missing run id from just started job".into()))? .to_string(); ``` 刪除透過示範建立的所有資源。 ``` glue.delete_job() .job_name(self.job()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; for t in &self.tables { glue.delete_table() .name(t.name()) .database_name(self.database()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; } glue.delete_database() .name(self.database()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; glue.delete_crawler() .name(self.crawler()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的下列主題。 + [CreateCrawler](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.create_crawler) + [CreateJob](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.create_job) + [DeleteCrawler](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.delete_crawler) + [DeleteDatabase](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.delete_database) + [DeleteJob](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.delete_job) + [DeleteTable](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.delete_table) + [GetCrawler](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_crawler) + [GetDatabase](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_database) + [GetDatabases](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_databases) + [GetJob](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_job) + [GetJobRun](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_job_run) + [GetJobRuns](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_job_runs) + [GetTables](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_tables) + [ListJobs](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.list_jobs) + [StartCrawler](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.start_crawler) + [StartJobRun](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.start_job_run) ## 動作 ### `CreateCrawler` 以下程式碼範例顯示如何使用 `CreateCrawler`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let create_crawler = glue .create_crawler() .name(self.crawler()) .database_name(self.database()) .role(self.iam_role.expose_secret()) .targets( CrawlerTargets::builder() .s3_targets(S3Target::builder().path(CRAWLER_TARGET).build()) .build(), ) .send() .await; match create_crawler { Err(err) => { let glue_err: aws_sdk_glue::Error = err.into(); match glue_err { aws_sdk_glue::Error::AlreadyExistsException(_) => { info!("Using existing crawler"); Ok(()) } _ => Err(GlueMvpError::GlueSdk(glue_err)), } } Ok(_) => Ok(()), }?; ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [CreateCrawler](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.create_crawler)。 ### `CreateJob` 以下程式碼範例顯示如何使用 `CreateJob`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let create_job = glue .create_job() .name(self.job()) .role(self.iam_role.expose_secret()) .command( JobCommand::builder() .name("glueetl") .python_version("3") .script_location(format!("s3://{}/job.py", self.bucket())) .build(), ) .glue_version("3.0") .send() .await .map_err(GlueMvpError::from_glue_sdk)?; let job_name = create_job.name().ok_or_else(|| { GlueMvpError::Unknown("Did not get job name after creating job".into()) })?; ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [CreateJob](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.create_job)。 ### `DeleteCrawler` 以下程式碼範例顯示如何使用 `DeleteCrawler`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` glue.delete_crawler() .name(self.crawler()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [DeleteCrawler](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.delete_crawler)。 ### `DeleteDatabase` 以下程式碼範例顯示如何使用 `DeleteDatabase`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` glue.delete_database() .name(self.database()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [DeleteDatabase](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.delete_database)。 ### `DeleteJob` 以下程式碼範例顯示如何使用 `DeleteJob`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` glue.delete_job() .job_name(self.job()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [DeleteJob](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.delete_job)。 ### `DeleteTable` 以下程式碼範例顯示如何使用 `DeleteTable`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` for t in &self.tables { glue.delete_table() .name(t.name()) .database_name(self.database()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; } ``` + 如需 API 的詳細資訊，請參閱《[適用於 Rust 的AWS SDK API 參考](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.delete_table)》中的 *DeleteTable*。 ### `GetCrawler` 以下程式碼範例顯示如何使用 `GetCrawler`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let tmp_crawler = glue .get_crawler() .name(self.crawler()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [GetCrawler](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_crawler)。 ### `GetDatabase` 以下程式碼範例顯示如何使用 `GetDatabase`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let database = glue .get_database() .name(self.database()) .send() .await .map_err(GlueMvpError::from_glue_sdk)? .to_owned(); let database = database .database() .ok_or_else(|| GlueMvpError::Unknown("Could not find database".into()))?; ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [GetDatabase](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_database)。 ### `GetJobRun` 以下程式碼範例顯示如何使用 `GetJobRun`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let get_job_run = || async { Ok::( glue.get_job_run() .job_name(self.job()) .run_id(job_run_id.to_string()) .send() .await .map_err(GlueMvpError::from_glue_sdk)? .job_run() .ok_or_else(|| GlueMvpError::Unknown("Failed to get job_run".into()))? .to_owned(), ) }; let mut job_run = get_job_run().await?; let mut state = job_run.job_run_state().unwrap_or(&unknown_state).to_owned(); while matches!( state, JobRunState::Starting | JobRunState::Stopping | JobRunState::Running ) { info!(?state, "Waiting for job to finish"); tokio::time::sleep(self.wait_delay).await; job_run = get_job_run().await?; state = job_run.job_run_state().unwrap_or(&unknown_state).to_owned(); } ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [GetJobRun](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_job_run)。 ### `GetTables` 以下程式碼範例顯示如何使用 `GetTables`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let tables = glue .get_tables() .database_name(self.database()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; let tables = tables.table_list(); ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [GetTables](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.get_tables)。 ### `ListJobs` 以下程式碼範例顯示如何使用 `ListJobs`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let mut list_jobs = glue.list_jobs().into_paginator().send(); while let Some(list_jobs_output) = list_jobs.next().await { match list_jobs_output { Ok(list_jobs) => { let names = list_jobs.job_names(); info!(?names, "Found these jobs") } Err(err) => return Err(GlueMvpError::from_glue_sdk(err)), } } ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [ListJobs](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.list_jobs)。 ### `StartCrawler` 以下程式碼範例顯示如何使用 `StartCrawler`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let start_crawler = glue.start_crawler().name(self.crawler()).send().await; match start_crawler { Ok(_) => Ok(()), Err(err) => { let glue_err: aws_sdk_glue::Error = err.into(); match glue_err { aws_sdk_glue::Error::CrawlerRunningException(_) => Ok(()), _ => Err(GlueMvpError::GlueSdk(glue_err)), } } }?; ``` + 如需 API 詳細資訊，請參閱《*AWS SDK for Rust API 參考*》中的 [StartCrawler](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.start_crawler)。 ### `StartJobRun` 以下程式碼範例顯示如何使用 `StartJobRun`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/glue#code-examples)中設定和執行。 ``` let job_run_output = glue .start_job_run() .job_name(self.job()) .arguments("--input_database", self.database()) .arguments( "--input_table", self.tables .first() .ok_or_else(|| GlueMvpError::Unknown("Missing crawler table".into()))? .name(), ) .arguments("--output_bucket_url", self.bucket()) .send() .await .map_err(GlueMvpError::from_glue_sdk)?; let job = job_run_output .job_run_id() .ok_or_else(|| GlueMvpError::Unknown("Missing run id from just started job".into()))? .to_string(); ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考**》中的 [StartJobRun](https://docs.rs/aws-sdk-glue/latest/aws_sdk_glue/client/struct.Client.html#method.start_job_run)。 # 使用 SDK for Rust 的 IAM 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 IAM 來執行動作和實作常見案例。 *基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [開始使用](#get_started) + [基本概念](#basics) + [動作](#actions) ## 開始使用 ### Hello IAM 下列程式碼範例說明如何開始使用 IAM。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 來自 src/bin/hello.rs。 ``` use aws_sdk_iam::error::SdkError; use aws_sdk_iam::operation::list_policies::ListPoliciesError; use clap::Parser; const PATH_PREFIX_HELP: &str = "The path prefix for filtering the results."; #[derive(Debug, clap::Parser)] #[command(about)] struct HelloScenarioArgs { #[arg(long, default_value="/", help=PATH_PREFIX_HELP)] pub path_prefix: String, } #[tokio::main] async fn main() -> Result<(), SdkError> { let sdk_config = aws_config::load_from_env().await; let client = aws_sdk_iam::Client::new(&sdk_config); let args = HelloScenarioArgs::parse(); iam_service::list_policies(client, args.path_prefix).await?; Ok(()) } ``` 來自 src/iam-service-lib.rs。 ``` pub async fn list_policies( client: iamClient, path_prefix: String, ) -> Result, SdkError> { let list_policies = client .list_policies() .path_prefix(path_prefix) .scope(PolicyScopeType::Local) .into_paginator() .items() .send() .try_collect() .await?; let policy_names = list_policies .into_iter() .map(|p| { let name = p .policy_name .unwrap_or_else(|| "Missing Policy Name".to_string()); println!("{}", name); name }) .collect(); Ok(policy_names) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API 參考*中的 [ListPolicies](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.list_policies)。 ## 基本概念 ### 了解基本概念 下列程式碼範例示範如何建立使用者並擔任角色。 **警告** 為避免安全風險，在開發專用軟體或使用真實資料時，請勿使用 IAM 使用者進行身分驗證。相反地，搭配使用聯合功能和身分提供者，例如 [AWS IAM Identity Center](https://docs.aws.amazon.com/singlesignon/latest/userguide/what-is.html)。 + 建立沒有許可的使用者。 + 建立一個可授予許可的角色，以列出帳戶的 Amazon S3 儲存貯體。 + 新增政策，讓使用者擔任該角色。 + 使用暫時憑證，擔任角色並列出 S3 儲存貯體，然後清理資源。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` use aws_config::meta::region::RegionProviderChain; use aws_sdk_iam::Error as iamError; use aws_sdk_iam::{config::Credentials as iamCredentials, config::Region, Client as iamClient}; use aws_sdk_s3::Client as s3Client; use aws_sdk_sts::Client as stsClient; use tokio::time::{sleep, Duration}; use uuid::Uuid; #[tokio::main] async fn main() -> Result<(), iamError> { let (client, uuid, list_all_buckets_policy_document, inline_policy_document) = initialize_variables().await; if let Err(e) = run_iam_operations( client, uuid, list_all_buckets_policy_document, inline_policy_document, ) .await { println!("{:?}", e); }; Ok(()) } async fn initialize_variables() -> (iamClient, String, String, String) { let region_provider = RegionProviderChain::first_try(Region::new("us-west-2")); let shared_config = aws_config::from_env().region(region_provider).load().await; let client = iamClient::new(&shared_config); let uuid = Uuid::new_v4().to_string(); let list_all_buckets_policy_document = "{ \"Version\": \"2012-10-17\", \"Statement\": [{ \"Effect\": \"Allow\", \"Action\": \"s3:ListAllMyBuckets\", \"Resource\": \"arn:aws:s3:::*\"}] }" .to_string(); let inline_policy_document = "{ \"Version\": \"2012-10-17\", \"Statement\": [{ \"Effect\": \"Allow\", \"Action\": \"sts:AssumeRole\", \"Resource\": \"{}\"}] }" .to_string(); ( client, uuid, list_all_buckets_policy_document, inline_policy_document, ) } async fn run_iam_operations( client: iamClient, uuid: String, list_all_buckets_policy_document: String, inline_policy_document: String, ) -> Result<(), iamError> { let user = iam_service::create_user(&client, &format!("{}{}", "iam_demo_user_", uuid)).await?; println!("Created the user with the name: {}", user.user_name()); let key = iam_service::create_access_key(&client, user.user_name()).await?; let assume_role_policy_document = "{ \"Version\": \"2012-10-17\", \"Statement\": [{ \"Effect\": \"Allow\", \"Principal\": {\"AWS\": \"{}\"}, \"Action\": \"sts:AssumeRole\" }] }" .to_string() .replace("{}", user.arn()); let assume_role_role = iam_service::create_role( &client, &format!("{}{}", "iam_demo_role_", uuid), &assume_role_policy_document, ) .await?; println!("Created the role with the ARN: {}", assume_role_role.arn()); let list_all_buckets_policy = iam_service::create_policy( &client, &format!("{}{}", "iam_demo_policy_", uuid), &list_all_buckets_policy_document, ) .await?; println!( "Created policy: {}", list_all_buckets_policy.policy_name.as_ref().unwrap() ); let attach_role_policy_result = iam_service::attach_role_policy(&client, &assume_role_role, &list_all_buckets_policy) .await?; println!( "Attached the policy to the role: {:?}", attach_role_policy_result ); let inline_policy_name = format!("{}{}", "iam_demo_inline_policy_", uuid); let inline_policy_document = inline_policy_document.replace("{}", assume_role_role.arn()); iam_service::create_user_policy(&client, &user, &inline_policy_name, &inline_policy_document) .await?; println!("Created inline policy."); //First, fail to list the buckets with the user. let creds = iamCredentials::from_keys(key.access_key_id(), key.secret_access_key(), None); let fail_config = aws_config::from_env() .credentials_provider(creds.clone()) .load() .await; println!("Fail config: {:?}", fail_config); let fail_client: s3Client = s3Client::new(&fail_config); match fail_client.list_buckets().send().await { Ok(e) => { println!("This should not run. {:?}", e); } Err(e) => { println!("Successfully failed with error: {:?}", e) } } let sts_config = aws_config::from_env() .credentials_provider(creds.clone()) .load() .await; let sts_client: stsClient = stsClient::new(&sts_config); sleep(Duration::from_secs(10)).await; let assumed_role = sts_client .assume_role() .role_arn(assume_role_role.arn()) .role_session_name(format!("iam_demo_assumerole_session_{uuid}")) .send() .await; println!("Assumed role: {:?}", assumed_role); sleep(Duration::from_secs(10)).await; let assumed_credentials = iamCredentials::from_keys( assumed_role .as_ref() .unwrap() .credentials .as_ref() .unwrap() .access_key_id(), assumed_role .as_ref() .unwrap() .credentials .as_ref() .unwrap() .secret_access_key(), Some( assumed_role .as_ref() .unwrap() .credentials .as_ref() .unwrap() .session_token .clone(), ), ); let succeed_config = aws_config::from_env() .credentials_provider(assumed_credentials) .load() .await; println!("succeed config: {:?}", succeed_config); let succeed_client: s3Client = s3Client::new(&succeed_config); sleep(Duration::from_secs(10)).await; match succeed_client.list_buckets().send().await { Ok(_) => { println!("This should now run successfully.") } Err(e) => { println!("This should not run. {:?}", e); panic!() } } //Clean up. iam_service::detach_role_policy( &client, assume_role_role.role_name(), list_all_buckets_policy.arn().unwrap_or_default(), ) .await?; iam_service::delete_policy(&client, list_all_buckets_policy).await?; iam_service::delete_role(&client, &assume_role_role).await?; println!("Deleted role {}", assume_role_role.role_name()); iam_service::delete_access_key(&client, &user, &key).await?; println!("Deleted key for {}", key.user_name()); iam_service::delete_user_policy(&client, &user, &inline_policy_name).await?; println!("Deleted inline user policy: {}", inline_policy_name); iam_service::delete_user(&client, &user).await?; println!("Deleted user {}", user.user_name()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的下列主題。 + [AttachRolePolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.attach_role_policy) + [CreateAccessKey](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.create_access_key) + [CreatePolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.create_policy) + [CreateRole](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.create_role) + [CreateUser](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.create_user) + [DeleteAccessKey](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_access_key) + [DeletePolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_policy) + [DeleteRole](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_role) + [DeleteUser](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_user) + [DeleteUserPolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_user_policy) + [DetachRolePolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.detach_role_policy) + [PutUserPolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.put_user_policy) ## 動作 ### `AttachRolePolicy` 以下程式碼範例顯示如何使用 `AttachRolePolicy`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn attach_role_policy( client: &iamClient, role: &Role, policy: &Policy, ) -> Result> { client .attach_role_policy() .role_name(role.role_name()) .policy_arn(policy.arn().unwrap_or_default()) .send() .await } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [AttachRolePolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.attach_role_policy)。 ### `AttachUserPolicy` 以下程式碼範例顯示如何使用 `AttachUserPolicy`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn attach_user_policy( client: &iamClient, user_name: &str, policy_arn: &str, ) -> Result<(), iamError> { client .attach_user_policy() .user_name(user_name) .policy_arn(policy_arn) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [AttachUserPolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.attach_user_policy)。 ### `CreateAccessKey` 以下程式碼範例顯示如何使用 `CreateAccessKey`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn create_access_key(client: &iamClient, user_name: &str) -> Result { let mut tries: i32 = 0; let max_tries: i32 = 10; let response: Result> = loop { match client.create_access_key().user_name(user_name).send().await { Ok(inner_response) => { break Ok(inner_response); } Err(e) => { tries += 1; if tries > max_tries { break Err(e); } sleep(Duration::from_secs(2)).await; } } }; Ok(response.unwrap().access_key.unwrap()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [CreateAccessKey](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.create_access_key)。 ### `CreatePolicy` 以下程式碼範例顯示如何使用 `CreatePolicy`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn create_policy( client: &iamClient, policy_name: &str, policy_document: &str, ) -> Result { let policy = client .create_policy() .policy_name(policy_name) .policy_document(policy_document) .send() .await?; Ok(policy.policy.unwrap()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [CreatePolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.create_policy)。 ### `CreateRole` 以下程式碼範例顯示如何使用 `CreateRole`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn create_role( client: &iamClient, role_name: &str, role_policy_document: &str, ) -> Result { let response: CreateRoleOutput = loop { if let Ok(response) = client .create_role() .role_name(role_name) .assume_role_policy_document(role_policy_document) .send() .await { break response; } }; Ok(response.role.unwrap()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [CreateRole](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.create_role)。 ### `CreateServiceLinkedRole` 以下程式碼範例顯示如何使用 `CreateServiceLinkedRole`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn create_service_linked_role( client: &iamClient, aws_service_name: String, custom_suffix: Option, description: Option, ) -> Result> { let response = client .create_service_linked_role() .aws_service_name(aws_service_name) .set_custom_suffix(custom_suffix) .set_description(description) .send() .await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [CreateServiceLinkedRole](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.create_service_linked_role)。 ### `CreateUser` 以下程式碼範例顯示如何使用 `CreateUser`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn create_user(client: &iamClient, user_name: &str) -> Result { let response = client.create_user().user_name(user_name).send().await?; Ok(response.user.unwrap()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [CreateUser](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.create_user)。 ### `DeleteAccessKey` 以下程式碼範例顯示如何使用 `DeleteAccessKey`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn delete_access_key( client: &iamClient, user: &User, key: &AccessKey, ) -> Result<(), iamError> { loop { match client .delete_access_key() .user_name(user.user_name()) .access_key_id(key.access_key_id()) .send() .await { Ok(_) => { break; } Err(e) => { println!("Can't delete the access key: {:?}", e); sleep(Duration::from_secs(2)).await; } } } Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [DeleteAccessKey](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_access_key)。 ### `DeletePolicy` 以下程式碼範例顯示如何使用 `DeletePolicy`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn delete_policy(client: &iamClient, policy: Policy) -> Result<(), iamError> { client .delete_policy() .policy_arn(policy.arn.unwrap()) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [DeletePolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_policy)。 ### `DeleteRole` 以下程式碼範例顯示如何使用 `DeleteRole`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn delete_role(client: &iamClient, role: &Role) -> Result<(), iamError> { let role = role.clone(); while client .delete_role() .role_name(role.role_name()) .send() .await .is_err() { sleep(Duration::from_secs(2)).await; } Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [DeleteRole](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_role)。 ### `DeleteServiceLinkedRole` 以下程式碼範例顯示如何使用 `DeleteServiceLinkedRole`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn delete_service_linked_role( client: &iamClient, role_name: &str, ) -> Result<(), iamError> { client .delete_service_linked_role() .role_name(role_name) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [DeleteServiceLinkedRole](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_service_linked_role)。 ### `DeleteUser` 以下程式碼範例顯示如何使用 `DeleteUser`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn delete_user(client: &iamClient, user: &User) -> Result<(), SdkError> { let user = user.clone(); let mut tries: i32 = 0; let max_tries: i32 = 10; let response: Result<(), SdkError> = loop { match client .delete_user() .user_name(user.user_name()) .send() .await { Ok(_) => { break Ok(()); } Err(e) => { tries += 1; if tries > max_tries { break Err(e); } sleep(Duration::from_secs(2)).await; } } }; response } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [DeleteUser](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_user)。 ### `DeleteUserPolicy` 以下程式碼範例顯示如何使用 `DeleteUserPolicy`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn delete_user_policy( client: &iamClient, user: &User, policy_name: &str, ) -> Result<(), SdkError> { client .delete_user_policy() .user_name(user.user_name()) .policy_name(policy_name) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [DeleteUserPolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.delete_user_policy)。 ### `DetachRolePolicy` 以下程式碼範例顯示如何使用 `DetachRolePolicy`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn detach_role_policy( client: &iamClient, role_name: &str, policy_arn: &str, ) -> Result<(), iamError> { client .detach_role_policy() .role_name(role_name) .policy_arn(policy_arn) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [DetachRolePolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.detach_role_policy)。 ### `DetachUserPolicy` 以下程式碼範例顯示如何使用 `DetachUserPolicy`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn detach_user_policy( client: &iamClient, user_name: &str, policy_arn: &str, ) -> Result<(), iamError> { client .detach_user_policy() .user_name(user_name) .policy_arn(policy_arn) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [DetachUserPolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.detach_user_policy)。 ### `GetAccountPasswordPolicy` 以下程式碼範例顯示如何使用 `GetAccountPasswordPolicy`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn get_account_password_policy( client: &iamClient, ) -> Result> { let response = client.get_account_password_policy().send().await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [GetAccountPasswordPolicy](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.get_account_password_policy)。 ### `GetRole` 以下程式碼範例顯示如何使用 `GetRole`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn get_role( client: &iamClient, role_name: String, ) -> Result> { let response = client.get_role().role_name(role_name).send().await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [GetRole](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.get_role)。 ### `ListAttachedRolePolicies` 以下程式碼範例顯示如何使用 `ListAttachedRolePolicies`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn list_attached_role_policies( client: &iamClient, role_name: String, path_prefix: Option, marker: Option, max_items: Option, ) -> Result> { let response = client .list_attached_role_policies() .role_name(role_name) .set_path_prefix(path_prefix) .set_marker(marker) .set_max_items(max_items) .send() .await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [ListAttachedRolePolicies](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.list_attached_role_policies)。 ### `ListGroups` 以下程式碼範例顯示如何使用 `ListGroups`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn list_groups( client: &iamClient, path_prefix: Option, marker: Option, max_items: Option, ) -> Result> { let response = client .list_groups() .set_path_prefix(path_prefix) .set_marker(marker) .set_max_items(max_items) .send() .await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [ListGroups](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.list_groups)。 ### `ListPolicies` 以下程式碼範例顯示如何使用 `ListPolicies`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn list_policies( client: iamClient, path_prefix: String, ) -> Result, SdkError> { let list_policies = client .list_policies() .path_prefix(path_prefix) .scope(PolicyScopeType::Local) .into_paginator() .items() .send() .try_collect() .await?; let policy_names = list_policies .into_iter() .map(|p| { let name = p .policy_name .unwrap_or_else(|| "Missing Policy Name".to_string()); println!("{}", name); name }) .collect(); Ok(policy_names) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [ListPolicies](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.list_policies)。 ### `ListRolePolicies` 以下程式碼範例顯示如何使用 `ListRolePolicies`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn list_role_policies( client: &iamClient, role_name: &str, marker: Option, max_items: Option, ) -> Result> { let response = client .list_role_policies() .role_name(role_name) .set_marker(marker) .set_max_items(max_items) .send() .await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [ListRolePolicies](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.list_role_policies)。 ### `ListRoles` 以下程式碼範例顯示如何使用 `ListRoles`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn list_roles( client: &iamClient, path_prefix: Option, marker: Option, max_items: Option, ) -> Result> { let response = client .list_roles() .set_path_prefix(path_prefix) .set_marker(marker) .set_max_items(max_items) .send() .await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [ListRoles](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.list_roles)。 ### `ListSAMLProviders` 以下程式碼範例顯示如何使用 `ListSAMLProviders`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn list_saml_providers( client: &Client, ) -> Result> { let response = client.list_saml_providers().send().await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [ListSAMLProviders](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.list_saml_providers)。 ### `ListUsers` 以下程式碼範例顯示如何使用 `ListUsers`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iam#code-examples)中設定和執行。 ``` pub async fn list_users( client: &iamClient, path_prefix: Option, marker: Option, max_items: Option, ) -> Result> { let response = client .list_users() .set_path_prefix(path_prefix) .set_marker(marker) .set_max_items(max_items) .send() .await?; Ok(response) } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的 [ListUsers](https://docs.rs/aws-sdk-iam/latest/aws_sdk_iam/client/struct.Client.html#method.list_users)。 # AWS IoT 使用 SDK for Rust 的範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 來執行動作和實作常見案例 AWS IoT。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `DescribeEndpoint` 以下程式碼範例顯示如何使用 `DescribeEndpoint`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iot#code-examples)中設定和執行。 ``` async fn show_address(client: &Client, endpoint_type: &str) -> Result<(), Error> { let resp = client .describe_endpoint() .endpoint_type(endpoint_type) .send() .await?; println!("Endpoint address: {}", resp.endpoint_address.unwrap()); println!(); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DescribeEndpoint](https://docs.rs/aws-sdk-iot/latest/aws_sdk_iot/client/struct.Client.html#method.describe_endpoint)。 ### `ListThings` 以下程式碼範例顯示如何使用 `ListThings`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/iot#code-examples)中設定和執行。 ``` async fn show_things(client: &Client) -> Result<(), Error> { let resp = client.list_things().send().await?; println!("Things:"); for thing in resp.things.unwrap() { println!( " Name: {}", thing.thing_name.as_deref().unwrap_or_default() ); println!( " Type: {}", thing.thing_type_name.as_deref().unwrap_or_default() ); println!( " ARN: {}", thing.thing_arn.as_deref().unwrap_or_default() ); println!(); } println!(); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListThings](https://docs.rs/aws-sdk-iot/latest/aws_sdk_iot/client/struct.Client.html#method.list_things)。 # 使用 SDK for Rust 的 Kinesis 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Kinesis 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) + [無伺服器範例](#serverless_examples) ## 動作 ### `CreateStream` 以下程式碼範例顯示如何使用 `CreateStream`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kinesis#code-examples)中設定和執行。 ``` async fn make_stream(client: &Client, stream: &str) -> Result<(), Error> { client .create_stream() .stream_name(stream) .shard_count(4) .send() .await?; println!("Created stream"); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateStream](https://docs.rs/aws-sdk-kinesis/latest/aws_sdk_kinesis/client/struct.Client.html#method.create_stream)。 ### `DeleteStream` 以下程式碼範例顯示如何使用 `DeleteStream`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kinesis#code-examples)中設定和執行。 ``` async fn remove_stream(client: &Client, stream: &str) -> Result<(), Error> { client.delete_stream().stream_name(stream).send().await?; println!("Deleted stream."); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DeleteStream](https://docs.rs/aws-sdk-kinesis/latest/aws_sdk_kinesis/client/struct.Client.html#method.delete_stream)。 ### `DescribeStream` 以下程式碼範例顯示如何使用 `DescribeStream`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kinesis#code-examples)中設定和執行。 ``` async fn show_stream(client: &Client, stream: &str) -> Result<(), Error> { let resp = client.describe_stream().stream_name(stream).send().await?; let desc = resp.stream_description.unwrap(); println!("Stream description:"); println!(" Name: {}:", desc.stream_name()); println!(" Status: {:?}", desc.stream_status()); println!(" Open shards: {:?}", desc.shards.len()); println!(" Retention (hours): {}", desc.retention_period_hours()); println!(" Encryption: {:?}", desc.encryption_type.unwrap()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeStream](https://docs.rs/aws-sdk-kinesis/latest/aws_sdk_kinesis/client/struct.Client.html#method.describe_stream)。 ### `ListStreams` 以下程式碼範例顯示如何使用 `ListStreams`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kinesis#code-examples)中設定和執行。 ``` async fn show_streams(client: &Client) -> Result<(), Error> { let resp = client.list_streams().send().await?; println!("Stream names:"); let streams = resp.stream_names; for stream in &streams { println!(" {}", stream); } println!("Found {} stream(s)", streams.len()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListStreams](https://docs.rs/aws-sdk-kinesis/latest/aws_sdk_kinesis/client/struct.Client.html#method.list_streams)。 ### `PutRecord` 以下程式碼範例顯示如何使用 `PutRecord`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kinesis#code-examples)中設定和執行。 ``` async fn add_record(client: &Client, stream: &str, key: &str, data: &str) -> Result<(), Error> { let blob = Blob::new(data); client .put_record() .data(blob) .partition_key(key) .stream_name(stream) .send() .await?; println!("Put data into stream."); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [PutRecord](https://docs.rs/aws-sdk-kinesis/latest/aws_sdk_kinesis/client/struct.Client.html#method.put_record)。 ## 無伺服器範例 ### 使用 Kinesis 觸發條件調用 Lambda 函數 以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 Kinesis 串流的記錄來接收所觸發的事件。此函數會擷取 Kinesis 承載、從 Base64 解碼，並記錄記錄內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-kinesis-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 Kinesis 事件。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::event::kinesis::KinesisEvent; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; async fn function_handler(event: LambdaEvent) -> Result<(), Error> { if event.payload.records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(()); } event.payload.records.iter().for_each(|record| { tracing::info!("EventId: {}",record.event_id.as_deref().unwrap_or_default()); let record_data = std::str::from_utf8(&record.kinesis.data); match record_data { Ok(data) => { // log the record data tracing::info!("Data: {}", data); } Err(e) => { tracing::error!("Error: {}", e); } } }); tracing::info!( "Successfully processed {} records", event.payload.records.len() ); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) // disable printing the name of the module in every log line. .with_target(false) // disabling time is handy because CloudWatch will add the ingestion time. .without_time() .init(); run(service_fn(function_handler)).await } ``` ### 使用 Kinesis 觸發條件報告 Lambda 函數的批次項目失敗 下列程式碼範例示範如何針對接收來自 Kinesis 串流之事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-kinesis-to-lambda-with-batch-item-handling)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來報告 Kinesis 批次項目失敗。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::{ event::kinesis::KinesisEvent, kinesis::KinesisEventRecord, streams::{KinesisBatchItemFailure, KinesisEventResponse}, }; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; async fn function_handler(event: LambdaEvent) -> Result { let mut response = KinesisEventResponse { batch_item_failures: vec![], }; if event.payload.records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(response); } for record in &event.payload.records { tracing::info!( "EventId: {}", record.event_id.as_deref().unwrap_or_default() ); let record_processing_result = process_record(record); if record_processing_result.is_err() { response.batch_item_failures.push(KinesisBatchItemFailure { item_identifier: record.kinesis.sequence_number.clone(), }); /* Since we are working with streams, we can return the failed item immediately. Lambda will immediately begin to retry processing from this failed item onwards. */ return Ok(response); } } tracing::info!( "Successfully processed {} records", event.payload.records.len() ); Ok(response) } fn process_record(record: &KinesisEventRecord) -> Result<(), Error> { let record_data = std::str::from_utf8(record.kinesis.data.as_slice()); if let Some(err) = record_data.err() { tracing::error!("Error: {}", err); return Err(Error::from(err)); } let record_data = record_data.unwrap_or_default(); // do something interesting with the data tracing::info!("Data: {}", record_data); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) // disable printing the name of the module in every log line. .with_target(false) // disabling time is handy because CloudWatch will add the ingestion time. .without_time() .init(); run(service_fn(function_handler)).await } ``` # AWS KMS 使用 SDK for Rust 的範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 來執行動作和實作常見案例 AWS KMS。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `CreateKey` 以下程式碼範例顯示如何使用 `CreateKey`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kms#code-examples)中設定和執行。 ``` async fn make_key(client: &Client) -> Result<(), Error> { let resp = client.create_key().send().await?; let id = resp.key_metadata.as_ref().unwrap().key_id(); println!("Key: {}", id); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateKey](https://docs.rs/aws-sdk-kms/latest/aws_sdk_kms/client/struct.Client.html#method.create_key)。 ### `Decrypt` 以下程式碼範例顯示如何使用 `Decrypt`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kms#code-examples)中設定和執行。 ``` async fn decrypt_key(client: &Client, key: &str, filename: &str) -> Result<(), Error> { // Open input text file and get contents as a string // input is a base-64 encoded string, so decode it: let data = fs::read_to_string(filename) .map(|input| { base64::decode(input).expect("Input file does not contain valid base 64 characters.") }) .map(Blob::new); let resp = client .decrypt() .key_id(key) .ciphertext_blob(data.unwrap()) .send() .await?; let inner = resp.plaintext.unwrap(); let bytes = inner.as_ref(); let s = String::from_utf8(bytes.to_vec()).expect("Could not convert to UTF-8"); println!(); println!("Decoded string:"); println!("{}", s); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [Decrypt](https://docs.rs/aws-sdk-kms/latest/aws_sdk_kms/client/struct.Client.html#method.decrypt)。 ### `Encrypt` 以下程式碼範例顯示如何使用 `Encrypt`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kms#code-examples)中設定和執行。 ``` async fn encrypt_string( verbose: bool, client: &Client, text: &str, key: &str, out_file: &str, ) -> Result<(), Error> { let blob = Blob::new(text.as_bytes()); let resp = client.encrypt().key_id(key).plaintext(blob).send().await?; // Did we get an encrypted blob? let blob = resp.ciphertext_blob.expect("Could not get encrypted text"); let bytes = blob.as_ref(); let s = base64::encode(bytes); let mut ofile = File::create(out_file).expect("unable to create file"); ofile.write_all(s.as_bytes()).expect("unable to write"); if verbose { println!("Wrote the following to {:?}", out_file); println!("{}", s); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [Encrypt](https://docs.rs/aws-sdk-kms/latest/aws_sdk_kms/client/struct.Client.html#method.encrypt)。 ### `GenerateDataKey` 以下程式碼範例顯示如何使用 `GenerateDataKey`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kms#code-examples)中設定和執行。 ``` async fn make_key(client: &Client, key: &str) -> Result<(), Error> { let resp = client .generate_data_key() .key_id(key) .key_spec(DataKeySpec::Aes256) .send() .await?; // Did we get an encrypted blob? let blob = resp.ciphertext_blob.expect("Could not get encrypted text"); let bytes = blob.as_ref(); let s = base64::encode(bytes); println!(); println!("Data key:"); println!("{}", s); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [GenerateDataKey](https://docs.rs/aws-sdk-kms/latest/aws_sdk_kms/client/struct.Client.html#method.generate_data_key)。 ### `GenerateDataKeyWithoutPlaintext` 以下程式碼範例顯示如何使用 `GenerateDataKeyWithoutPlaintext`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kms#code-examples)中設定和執行。 ``` async fn make_key(client: &Client, key: &str) -> Result<(), Error> { let resp = client .generate_data_key_without_plaintext() .key_id(key) .key_spec(DataKeySpec::Aes256) .send() .await?; // Did we get an encrypted blob? let blob = resp.ciphertext_blob.expect("Could not get encrypted text"); let bytes = blob.as_ref(); let s = base64::encode(bytes); println!(); println!("Data key:"); println!("{}", s); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [GenerateDataKeyWithoutPlaintext](https://docs.rs/aws-sdk-kms/latest/aws_sdk_kms/client/struct.Client.html#method.generate_data_key_without_plaintext)。 ### `GenerateRandom` 以下程式碼範例顯示如何使用 `GenerateRandom`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kms#code-examples)中設定和執行。 ``` async fn make_string(client: &Client, length: i32) -> Result<(), Error> { let resp = client .generate_random() .number_of_bytes(length) .send() .await?; // Did we get an encrypted blob? let blob = resp.plaintext.expect("Could not get encrypted text"); let bytes = blob.as_ref(); let s = base64::encode(bytes); println!(); println!("Data key:"); println!("{}", s); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [GenerateRandom](https://docs.rs/aws-sdk-kms/latest/aws_sdk_kms/client/struct.Client.html#method.generate_random)。 ### `ListKeys` 以下程式碼範例顯示如何使用 `ListKeys`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kms#code-examples)中設定和執行。 ``` async fn show_keys(client: &Client) -> Result<(), Error> { let resp = client.list_keys().send().await?; let keys = resp.keys.unwrap_or_default(); let len = keys.len(); for key in keys { println!("Key ARN: {}", key.key_arn.as_deref().unwrap_or_default()); } println!(); println!("Found {} keys", len); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListKeys](https://docs.rs/aws-sdk-kms/latest/aws_sdk_kms/client/struct.Client.html#method.list_keys)。 ### `ReEncrypt` 以下程式碼範例顯示如何使用 `ReEncrypt`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/kms#code-examples)中設定和執行。 ``` async fn reencrypt_string( verbose: bool, client: &Client, input_file: &str, output_file: &str, first_key: &str, new_key: &str, ) -> Result<(), Error> { // Get blob from input file // Open input text file and get contents as a string // input is a base-64 encoded string, so decode it: let data = fs::read_to_string(input_file) .map(|input_file| base64::decode(input_file).expect("invalid base 64")) .map(Blob::new); let resp = client .re_encrypt() .ciphertext_blob(data.unwrap()) .source_key_id(first_key) .destination_key_id(new_key) .send() .await?; // Did we get an encrypted blob? let blob = resp.ciphertext_blob.expect("Could not get encrypted text"); let bytes = blob.as_ref(); let s = base64::encode(bytes); let o = &output_file; let mut ofile = File::create(o).expect("unable to create file"); ofile.write_all(s.as_bytes()).expect("unable to write"); if verbose { println!("Wrote the following to {}:", output_file); println!("{}", s); } else { println!("Wrote base64-encoded output to {}", output_file); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ReEncrypt](https://docs.rs/aws-sdk-kms/latest/aws_sdk_kms/client/struct.Client.html#method.re_encrypt)。 # 使用 SDK for Rust 的 Lambda 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Lambda 來執行動作和實作常見案例。 *基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 *AWS 社群貢獻*是由多個團隊所建立和維護的範例 AWS。若要提供意見回饋，請使用連結儲存庫中提供的機制。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [基本概念](#basics) + [動作](#actions) + [案例](#scenarios) + [無伺服器範例](#serverless_examples) + [AWS 社群貢獻](#aws_community_contributions) ## 基本概念 ### 了解基本概念 以下程式碼範例顯示做法： + 建立 IAM 角色和 Lambda 函數，然後上傳處理常式程式碼。 + 調用具有單一參數的函數並取得結果。 + 更新函數程式碼並使用環境變數進行設定。 + 調用具有新參數的函數並取得結果。顯示傳回的執行日誌。 + 列出您帳戶的函數，然後清理相關資源。 如需詳細資訊，請參閱[使用主控台建立 Lambda 函數](https://docs.aws.amazon.com/lambda/latest/dg/getting-started-create-function.html)。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/lambda#code-examples)中設定和執行。 在此案例中使用具有相依項的 Cargo.toml。 ``` [package] name = "lambda-code-examples" version = "0.1.0" edition = "2021" # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html [dependencies] aws-config = { version = "1.0.1", features = ["behavior-version-latest"] } aws-sdk-ec2 = { version = "1.3.0" } aws-sdk-iam = { version = "1.3.0" } aws-sdk-lambda = { version = "1.3.0" } aws-sdk-s3 = { version = "1.4.0" } aws-smithy-types = { version = "1.0.1" } aws-types = { version = "1.0.1" } clap = { version = "4.4", features = ["derive"] } tokio = { version = "1.20.1", features = ["full"] } tracing-subscriber = { version = "0.3.15", features = ["env-filter"] } tracing = "0.1.37" serde_json = "1.0.94" anyhow = "1.0.71" uuid = { version = "1.3.3", features = ["v4"] } lambda_runtime = "0.8.0" serde = "1.0.164" ``` 一個公用程式集合，可簡化此案例的 Lambda 呼叫。此檔案是套件中的 src/ations.rs。 ``` use anyhow::anyhow; use aws_sdk_iam::operation::{create_role::CreateRoleError, delete_role::DeleteRoleOutput}; use aws_sdk_lambda::{ operation::{ delete_function::DeleteFunctionOutput, get_function::GetFunctionOutput, invoke::InvokeOutput, list_functions::ListFunctionsOutput, update_function_code::UpdateFunctionCodeOutput, update_function_configuration::UpdateFunctionConfigurationOutput, }, primitives::ByteStream, types::{Environment, FunctionCode, LastUpdateStatus, State}, }; use aws_sdk_s3::{ error::ErrorMetadata, operation::{delete_bucket::DeleteBucketOutput, delete_object::DeleteObjectOutput}, types::CreateBucketConfiguration, }; use aws_smithy_types::Blob; use serde::{ser::SerializeMap, Serialize}; use std::{fmt::Display, path::PathBuf, str::FromStr, time::Duration}; use tracing::{debug, info, warn}; /* Operation describes */ #[derive(Clone, Copy, Debug, Serialize)] pub enum Operation { #[serde(rename = "plus")] Plus, #[serde(rename = "minus")] Minus, #[serde(rename = "times")] Times, #[serde(rename = "divided-by")] DividedBy, } impl FromStr for Operation { type Err = anyhow::Error; fn from_str(s: &str) -> Result { match s { "plus" => Ok(Operation::Plus), "minus" => Ok(Operation::Minus), "times" => Ok(Operation::Times), "divided-by" => Ok(Operation::DividedBy), _ => Err(anyhow!("Unknown operation {s}")), } } } impl Display for Operation { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { match self { Operation::Plus => write!(f, "plus"), Operation::Minus => write!(f, "minus"), Operation::Times => write!(f, "times"), Operation::DividedBy => write!(f, "divided-by"), } } } /** * InvokeArgs will be serialized as JSON and sent to the AWS Lambda handler. */ #[derive(Debug)] pub enum InvokeArgs { Increment(i32), Arithmetic(Operation, i32, i32), } impl Serialize for InvokeArgs { fn serialize(&self, serializer: S) -> Result where S: serde::Serializer, { match self { InvokeArgs::Increment(i) => serializer.serialize_i32(*i), InvokeArgs::Arithmetic(o, i, j) => { let mut map: S::SerializeMap = serializer.serialize_map(Some(3))?; map.serialize_key(&"op".to_string())?; map.serialize_value(&o.to_string())?; map.serialize_key(&"i".to_string())?; map.serialize_value(&i)?; map.serialize_key(&"j".to_string())?; map.serialize_value(&j)?; map.end() } } } } /** A policy document allowing Lambda to execute this function on the account's behalf. */ const ROLE_POLICY_DOCUMENT: &str = r#"{ "Version":"2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "lambda.amazonaws.com" }, "Action": "sts:AssumeRole" } ] }"#; /** * A LambdaManager gathers all the resources necessary to run the Lambda example scenario. * This includes instantiated aws_sdk clients and details of resource names. */ pub struct LambdaManager { iam_client: aws_sdk_iam::Client, lambda_client: aws_sdk_lambda::Client, s3_client: aws_sdk_s3::Client, lambda_name: String, role_name: String, bucket: String, own_bucket: bool, } // These unit type structs provide nominal typing on top of String parameters for LambdaManager::new pub struct LambdaName(pub String); pub struct RoleName(pub String); pub struct Bucket(pub String); pub struct OwnBucket(pub bool); impl LambdaManager { pub fn new( iam_client: aws_sdk_iam::Client, lambda_client: aws_sdk_lambda::Client, s3_client: aws_sdk_s3::Client, lambda_name: LambdaName, role_name: RoleName, bucket: Bucket, own_bucket: OwnBucket, ) -> Self { Self { iam_client, lambda_client, s3_client, lambda_name: lambda_name.0, role_name: role_name.0, bucket: bucket.0, own_bucket: own_bucket.0, } } /** * Load the AWS configuration from the environment. * Look up lambda_name and bucket if none are given, or generate a random name if not present in the environment. * If the bucket name is provided, the caller needs to have created the bucket. * If the bucket name is generated, it will be created. */ pub async fn load_from_env(lambda_name: Option, bucket: Option) -> Self { let sdk_config = aws_config::load_from_env().await; let lambda_name = LambdaName(lambda_name.unwrap_or_else(|| { std::env::var("LAMBDA_NAME").unwrap_or_else(|_| "rust_lambda_example".to_string()) })); let role_name = RoleName(format!("{}_role", lambda_name.0)); let (bucket, own_bucket) = match bucket { Some(bucket) => (Bucket(bucket), false), None => ( Bucket(std::env::var("LAMBDA_BUCKET").unwrap_or_else(|_| { format!("rust-lambda-example-{}", uuid::Uuid::new_v4()) })), true, ), }; let s3_client = aws_sdk_s3::Client::new(&sdk_config); if own_bucket { info!("Creating bucket for demo: {}", bucket.0); s3_client .create_bucket() .bucket(bucket.0.clone()) .create_bucket_configuration( CreateBucketConfiguration::builder() .location_constraint(aws_sdk_s3::types::BucketLocationConstraint::from( sdk_config.region().unwrap().as_ref(), )) .build(), ) .send() .await .unwrap(); } Self::new( aws_sdk_iam::Client::new(&sdk_config), aws_sdk_lambda::Client::new(&sdk_config), s3_client, lambda_name, role_name, bucket, OwnBucket(own_bucket), ) } /** * Upload function code from a path to a zip file. * The zip file must have an AL2 Linux-compatible binary called `bootstrap`. * The easiest way to create such a zip is to use `cargo lambda build --output-format Zip`. */ async fn prepare_function( &self, zip_file: PathBuf, key: Option, ) -> Result { let body = ByteStream::from_path(zip_file).await?; let key = key.unwrap_or_else(|| format!("{}_code", self.lambda_name)); info!("Uploading function code to s3://{}/{}", self.bucket, key); let _ = self .s3_client .put_object() .bucket(self.bucket.clone()) .key(key.clone()) .body(body) .send() .await?; Ok(FunctionCode::builder() .s3_bucket(self.bucket.clone()) .s3_key(key) .build()) } /** * Create a function, uploading from a zip file. */ pub async fn create_function(&self, zip_file: PathBuf) -> Result { let code = self.prepare_function(zip_file, None).await?; let key = code.s3_key().unwrap().to_string(); let role = self.create_role().await.map_err(|e| anyhow!(e))?; info!("Created iam role, waiting 15s for it to become active"); tokio::time::sleep(Duration::from_secs(15)).await; info!("Creating lambda function {}", self.lambda_name); let _ = self .lambda_client .create_function() .function_name(self.lambda_name.clone()) .code(code) .role(role.arn()) .runtime(aws_sdk_lambda::types::Runtime::Providedal2) .handler("_unused") .send() .await .map_err(anyhow::Error::from)?; self.wait_for_function_ready().await?; self.lambda_client .publish_version() .function_name(self.lambda_name.clone()) .send() .await?; Ok(key) } /** * Create an IAM execution role for the managed Lambda function. * If the role already exists, use that instead. */ async fn create_role(&self) -> Result { info!("Creating execution role for function"); let get_role = self .iam_client .get_role() .role_name(self.role_name.clone()) .send() .await; if let Ok(get_role) = get_role { if let Some(role) = get_role.role { return Ok(role); } } let create_role = self .iam_client .create_role() .role_name(self.role_name.clone()) .assume_role_policy_document(ROLE_POLICY_DOCUMENT) .send() .await; match create_role { Ok(create_role) => match create_role.role { Some(role) => Ok(role), None => Err(CreateRoleError::generic( ErrorMetadata::builder() .message("CreateRole returned empty success") .build(), )), }, Err(err) => Err(err.into_service_error()), } } /** * Poll `is_function_ready` with a 1-second delay. It returns when the function is ready or when there's an error checking the function's state. */ pub async fn wait_for_function_ready(&self) -> Result<(), anyhow::Error> { info!("Waiting for function"); while !self.is_function_ready(None).await? { info!("Function is not ready, sleeping 1s"); tokio::time::sleep(Duration::from_secs(1)).await; } Ok(()) } /** * Check if a Lambda function is ready to be invoked. * A Lambda function is ready for this scenario when its state is active and its LastUpdateStatus is Successful. * Additionally, if a sha256 is provided, the function must have that as its current code hash. * Any missing properties or failed requests will be reported as an Err. */ async fn is_function_ready( &self, expected_code_sha256: Option<&str>, ) -> Result { match self.get_function().await { Ok(func) => { if let Some(config) = func.configuration() { if let Some(state) = config.state() { info!(?state, "Checking if function is active"); if !matches!(state, State::Active) { return Ok(false); } } match config.last_update_status() { Some(last_update_status) => { info!(?last_update_status, "Checking if function is ready"); match last_update_status { LastUpdateStatus::Successful => { // continue } LastUpdateStatus::Failed | LastUpdateStatus::InProgress => { return Ok(false); } unknown => { warn!( status_variant = unknown.as_str(), "LastUpdateStatus unknown" ); return Err(anyhow!( "Unknown LastUpdateStatus, fn config is {config:?}" )); } } } None => { warn!("Missing last update status"); return Ok(false); } }; if expected_code_sha256.is_none() { return Ok(true); } if let Some(code_sha256) = config.code_sha256() { return Ok(code_sha256 == expected_code_sha256.unwrap_or_default()); } } } Err(e) => { warn!(?e, "Could not get function while waiting"); } } Ok(false) } /** Get the Lambda function with this Manager's name. */ pub async fn get_function(&self) -> Result { info!("Getting lambda function"); self.lambda_client .get_function() .function_name(self.lambda_name.clone()) .send() .await .map_err(anyhow::Error::from) } /** List all Lambda functions in the current Region. */ pub async fn list_functions(&self) -> Result { info!("Listing lambda functions"); self.lambda_client .list_functions() .send() .await .map_err(anyhow::Error::from) } /** Invoke the lambda function using calculator InvokeArgs. */ pub async fn invoke(&self, args: InvokeArgs) -> Result { info!(?args, "Invoking {}", self.lambda_name); let payload = serde_json::to_string(&args)?; debug!(?payload, "Sending payload"); self.lambda_client .invoke() .function_name(self.lambda_name.clone()) .payload(Blob::new(payload)) .send() .await .map_err(anyhow::Error::from) } /** Given a Path to a zip file, update the function's code and wait for the update to finish. */ pub async fn update_function_code( &self, zip_file: PathBuf, key: String, ) -> Result { let function_code = self.prepare_function(zip_file, Some(key)).await?; info!("Updating code for {}", self.lambda_name); let update = self .lambda_client .update_function_code() .function_name(self.lambda_name.clone()) .s3_bucket(self.bucket.clone()) .s3_key(function_code.s3_key().unwrap().to_string()) .send() .await .map_err(anyhow::Error::from)?; self.wait_for_function_ready().await?; Ok(update) } /** Update the environment for a function. */ pub async fn update_function_configuration( &self, environment: Environment, ) -> Result { info!( ?environment, "Updating environment for {}", self.lambda_name ); let updated = self .lambda_client .update_function_configuration() .function_name(self.lambda_name.clone()) .environment(environment) .send() .await .map_err(anyhow::Error::from)?; self.wait_for_function_ready().await?; Ok(updated) } /** Delete a function and its role, and if possible or necessary, its associated code object and bucket. */ pub async fn delete_function( &self, location: Option, ) -> ( Result, Result, Option>, ) { info!("Deleting lambda function {}", self.lambda_name); let delete_function = self .lambda_client .delete_function() .function_name(self.lambda_name.clone()) .send() .await .map_err(anyhow::Error::from); info!("Deleting iam role {}", self.role_name); let delete_role = self .iam_client .delete_role() .role_name(self.role_name.clone()) .send() .await .map_err(anyhow::Error::from); let delete_object: Option> = if let Some(location) = location { info!("Deleting object {location}"); Some( self.s3_client .delete_object() .bucket(self.bucket.clone()) .key(location) .send() .await .map_err(anyhow::Error::from), ) } else { info!(?location, "Skipping delete object"); None }; (delete_function, delete_role, delete_object) } pub async fn cleanup( &self, location: Option, ) -> ( ( Result, Result, Option>, ), Option>, ) { let delete_function = self.delete_function(location).await; let delete_bucket = if self.own_bucket { info!("Deleting bucket {}", self.bucket); if delete_function.2.is_none() || delete_function.2.as_ref().unwrap().is_ok() { Some( self.s3_client .delete_bucket() .bucket(self.bucket.clone()) .send() .await .map_err(anyhow::Error::from), ) } else { None } } else { info!("No bucket to clean up"); None }; (delete_function, delete_bucket) } } /** * Testing occurs primarily as an integration test running the `scenario` bin successfully. * Each action relies deeply on the internal workings and state of Amazon Simple Storage Service (Amazon S3), Lambda, and IAM working together. * It is therefore infeasible to mock the clients to test the individual actions. */ #[cfg(test)] mod test { use super::{InvokeArgs, Operation}; use serde_json::json; /** Make sure that the JSON output of serializing InvokeArgs is what's expected by the calculator. */ #[test] fn test_serialize() { assert_eq!(json!(InvokeArgs::Increment(5)), 5); assert_eq!( json!(InvokeArgs::Arithmetic(Operation::Plus, 5, 7)).to_string(), r#"{"op":"plus","i":5,"j":7}"#.to_string(), ); } } ``` 從前端到後端執行該案例的二進位檔案，使用命令列旗標來控制某些行為。此檔案是套件中的 src/bin/scenario.rs。 ``` /* ## Service actions Service actions wrap the SDK call, taking a client and any specific parameters necessary for the call. * CreateFunction * GetFunction * ListFunctions * Invoke * UpdateFunctionCode * UpdateFunctionConfiguration * DeleteFunction ## Scenario A scenario runs at a command prompt and prints output to the user on the result of each service action. A scenario can run in one of two ways: straight through, printing out progress as it goes, or as an interactive question/answer script. ## Getting started with functions Use an SDK to manage AWS Lambda functions: create a function, invoke it, update its code, invoke it again, view its output and logs, and delete it. This scenario uses two Lambda handlers: _Note: Handlers don't use AWS SDK API calls._ The increment handler is straightforward: 1. It accepts a number, increments it, and returns the new value. 2. It performs simple logging of the result. The arithmetic handler is more complex: 1. It accepts a set of actions ['plus', 'minus', 'times', 'divided-by'] and two numbers, and returns the result of the calculation. 2. It uses an environment variable to control log level (such as DEBUG, INFO, WARNING, ERROR). It logs a few things at different levels, such as: * DEBUG: Full event data. * INFO: The calculation result. * WARN~ING~: When a divide by zero error occurs. * This will be the typical `RUST_LOG` variable. The steps of the scenario are: 1. Create an AWS Identity and Access Management (IAM) role that meets the following requirements: * Has an assume_role policy that grants 'lambda.amazonaws.com' the 'sts:AssumeRole' action. * Attaches the 'arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole' managed role. * _You must wait for ~10 seconds after the role is created before you can use it!_ 2. Create a function (CreateFunction) for the increment handler by packaging it as a zip and doing one of the following: * Adding it with CreateFunction Code.ZipFile. * --or-- * Uploading it to Amazon Simple Storage Service (Amazon S3) and adding it with CreateFunction Code.S3Bucket/S3Key. * _Note: Zipping the file does not have to be done in code._ * If you have a waiter, use it to wait until the function is active. Otherwise, call GetFunction until State is Active. 3. Invoke the function with a number and print the result. 4. Update the function (UpdateFunctionCode) to the arithmetic handler by packaging it as a zip and doing one of the following: * Adding it with UpdateFunctionCode ZipFile. * --or-- * Uploading it to Amazon S3 and adding it with UpdateFunctionCode S3Bucket/S3Key. 5. Call GetFunction until Configuration.LastUpdateStatus is 'Successful' (or 'Failed'). 6. Update the environment variable by calling UpdateFunctionConfiguration and pass it a log level, such as: * Environment={'Variables': {'RUST_LOG': 'TRACE'}} 7. Invoke the function with an action from the list and a couple of values. Include LogType='Tail' to get logs in the result. Print the result of the calculation and the log. 8. [Optional] Invoke the function to provoke a divide-by-zero error and show the log result. 9. List all functions for the account, using pagination (ListFunctions). 10. Delete the function (DeleteFunction). 11. Delete the role. Each step should use the function created in Service Actions to abstract calling the SDK. */ use aws_sdk_lambda::{operation::invoke::InvokeOutput, types::Environment}; use clap::Parser; use std::{collections::HashMap, path::PathBuf}; use tracing::{debug, info, warn}; use tracing_subscriber::EnvFilter; use lambda_code_examples::actions::{ InvokeArgs::{Arithmetic, Increment}, LambdaManager, Operation, }; #[derive(Debug, Parser)] pub struct Opt { /// The AWS Region. #[structopt(short, long)] pub region: Option, // The bucket to use for the FunctionCode. #[structopt(short, long)] pub bucket: Option, // The name of the Lambda function. #[structopt(short, long)] pub lambda_name: Option, // The number to increment. #[structopt(short, long, default_value = "12")] pub inc: i32, // The left operand. #[structopt(long, default_value = "19")] pub num_a: i32, // The right operand. #[structopt(long, default_value = "23")] pub num_b: i32, // The arithmetic operation. #[structopt(short, long, default_value = "plus")] pub operation: Operation, #[structopt(long)] pub cleanup: Option, #[structopt(long)] pub no_cleanup: Option, } fn code_path(lambda: &str) -> PathBuf { PathBuf::from(format!("../target/lambda/{lambda}/bootstrap.zip")) } fn log_invoke_output(invoke: &InvokeOutput, message: &str) { if let Some(payload) = invoke.payload().cloned() { let payload = String::from_utf8(payload.into_inner()); info!(?payload, message); } else { info!("Could not extract payload") } if let Some(logs) = invoke.log_result() { debug!(?logs, "Invoked function logs") } else { debug!("Invoked function had no logs") } } async fn main_block( opt: &Opt, manager: &LambdaManager, code_location: String, ) -> Result<(), anyhow::Error> { let invoke = manager.invoke(Increment(opt.inc)).await?; log_invoke_output(&invoke, "Invoked function configured as increment"); let update_code = manager .update_function_code(code_path("arithmetic"), code_location.clone()) .await?; let code_sha256 = update_code.code_sha256().unwrap_or("Unknown SHA"); info!(?code_sha256, "Updated function code with arithmetic.zip"); let arithmetic_args = Arithmetic(opt.operation, opt.num_a, opt.num_b); let invoke = manager.invoke(arithmetic_args).await?; log_invoke_output(&invoke, "Invoked function configured as arithmetic"); let update = manager .update_function_configuration( Environment::builder() .set_variables(Some(HashMap::from([( "RUST_LOG".to_string(), "trace".to_string(), )]))) .build(), ) .await?; let updated_environment = update.environment(); info!(?updated_environment, "Updated function configuration"); let invoke = manager .invoke(Arithmetic(opt.operation, opt.num_a, opt.num_b)) .await?; log_invoke_output( &invoke, "Invoked function configured as arithmetic with increased logging", ); let invoke = manager .invoke(Arithmetic(Operation::DividedBy, opt.num_a, 0)) .await?; log_invoke_output( &invoke, "Invoked function configured as arithmetic with divide by zero", ); Ok::<(), anyhow::Error>(()) } #[tokio::main] async fn main() { tracing_subscriber::fmt() .without_time() .with_file(true) .with_line_number(true) .with_env_filter(EnvFilter::from_default_env()) .init(); let opt = Opt::parse(); let manager = LambdaManager::load_from_env(opt.lambda_name.clone(), opt.bucket.clone()).await; let key = match manager.create_function(code_path("increment")).await { Ok(init) => { info!(?init, "Created function, initially with increment.zip"); let run_block = main_block(&opt, &manager, init.clone()).await; info!(?run_block, "Finished running example, cleaning up"); Some(init) } Err(err) => { warn!(?err, "Error happened when initializing function"); None } }; if Some(false) == opt.cleanup || Some(true) == opt.no_cleanup { info!("Skipping cleanup") } else { let delete = manager.cleanup(key).await; info!(?delete, "Deleted function & cleaned up resources"); } } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的下列主題。 + [CreateFunction](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.create_function) + [DeleteFunction](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.delete_function) + [GetFunction](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.get_function) + [Invoke](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.invoke) + [ListFunctions](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.list_functions) + [UpdateFunctionCode](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.update_function_code) + [UpdateFunctionConfiguration](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.update_function_configuration) ## 動作 ### `CreateFunction` 以下程式碼範例顯示如何使用 `CreateFunction`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/lambda#code-examples)中設定和執行。 ``` /** * Create a function, uploading from a zip file. */ pub async fn create_function(&self, zip_file: PathBuf) -> Result { let code = self.prepare_function(zip_file, None).await?; let key = code.s3_key().unwrap().to_string(); let role = self.create_role().await.map_err(|e| anyhow!(e))?; info!("Created iam role, waiting 15s for it to become active"); tokio::time::sleep(Duration::from_secs(15)).await; info!("Creating lambda function {}", self.lambda_name); let _ = self .lambda_client .create_function() .function_name(self.lambda_name.clone()) .code(code) .role(role.arn()) .runtime(aws_sdk_lambda::types::Runtime::Providedal2) .handler("_unused") .send() .await .map_err(anyhow::Error::from)?; self.wait_for_function_ready().await?; self.lambda_client .publish_version() .function_name(self.lambda_name.clone()) .send() .await?; Ok(key) } /** * Upload function code from a path to a zip file. * The zip file must have an AL2 Linux-compatible binary called `bootstrap`. * The easiest way to create such a zip is to use `cargo lambda build --output-format Zip`. */ async fn prepare_function( &self, zip_file: PathBuf, key: Option, ) -> Result { let body = ByteStream::from_path(zip_file).await?; let key = key.unwrap_or_else(|| format!("{}_code", self.lambda_name)); info!("Uploading function code to s3://{}/{}", self.bucket, key); let _ = self .s3_client .put_object() .bucket(self.bucket.clone()) .key(key.clone()) .body(body) .send() .await?; Ok(FunctionCode::builder() .s3_bucket(self.bucket.clone()) .s3_key(key) .build()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateFunction](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.create_function)。 ### `DeleteFunction` 以下程式碼範例顯示如何使用 `DeleteFunction`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/lambda#code-examples)中設定和執行。 ``` /** Delete a function and its role, and if possible or necessary, its associated code object and bucket. */ pub async fn delete_function( &self, location: Option, ) -> ( Result, Result, Option>, ) { info!("Deleting lambda function {}", self.lambda_name); let delete_function = self .lambda_client .delete_function() .function_name(self.lambda_name.clone()) .send() .await .map_err(anyhow::Error::from); info!("Deleting iam role {}", self.role_name); let delete_role = self .iam_client .delete_role() .role_name(self.role_name.clone()) .send() .await .map_err(anyhow::Error::from); let delete_object: Option> = if let Some(location) = location { info!("Deleting object {location}"); Some( self.s3_client .delete_object() .bucket(self.bucket.clone()) .key(location) .send() .await .map_err(anyhow::Error::from), ) } else { info!(?location, "Skipping delete object"); None }; (delete_function, delete_role, delete_object) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DeleteFunction](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.delete_function)。 ### `GetFunction` 以下程式碼範例顯示如何使用 `GetFunction`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/lambda#code-examples)中設定和執行。 ``` /** Get the Lambda function with this Manager's name. */ pub async fn get_function(&self) -> Result { info!("Getting lambda function"); self.lambda_client .get_function() .function_name(self.lambda_name.clone()) .send() .await .map_err(anyhow::Error::from) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [GetFunction](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.get_function)。 ### `Invoke` 以下程式碼範例顯示如何使用 `Invoke`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/lambda#code-examples)中設定和執行。 ``` /** Invoke the lambda function using calculator InvokeArgs. */ pub async fn invoke(&self, args: InvokeArgs) -> Result { info!(?args, "Invoking {}", self.lambda_name); let payload = serde_json::to_string(&args)?; debug!(?payload, "Sending payload"); self.lambda_client .invoke() .function_name(self.lambda_name.clone()) .payload(Blob::new(payload)) .send() .await .map_err(anyhow::Error::from) } fn log_invoke_output(invoke: &InvokeOutput, message: &str) { if let Some(payload) = invoke.payload().cloned() { let payload = String::from_utf8(payload.into_inner()); info!(?payload, message); } else { info!("Could not extract payload") } if let Some(logs) = invoke.log_result() { debug!(?logs, "Invoked function logs") } else { debug!("Invoked function had no logs") } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [Invoke](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.invoke)。 ### `ListFunctions` 以下程式碼範例顯示如何使用 `ListFunctions`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/lambda#code-examples)中設定和執行。 ``` /** List all Lambda functions in the current Region. */ pub async fn list_functions(&self) -> Result { info!("Listing lambda functions"); self.lambda_client .list_functions() .send() .await .map_err(anyhow::Error::from) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListFunctions](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.list_functions)。 ### `UpdateFunctionCode` 以下程式碼範例顯示如何使用 `UpdateFunctionCode`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/lambda#code-examples)中設定和執行。 ``` /** Given a Path to a zip file, update the function's code and wait for the update to finish. */ pub async fn update_function_code( &self, zip_file: PathBuf, key: String, ) -> Result { let function_code = self.prepare_function(zip_file, Some(key)).await?; info!("Updating code for {}", self.lambda_name); let update = self .lambda_client .update_function_code() .function_name(self.lambda_name.clone()) .s3_bucket(self.bucket.clone()) .s3_key(function_code.s3_key().unwrap().to_string()) .send() .await .map_err(anyhow::Error::from)?; self.wait_for_function_ready().await?; Ok(update) } /** * Upload function code from a path to a zip file. * The zip file must have an AL2 Linux-compatible binary called `bootstrap`. * The easiest way to create such a zip is to use `cargo lambda build --output-format Zip`. */ async fn prepare_function( &self, zip_file: PathBuf, key: Option, ) -> Result { let body = ByteStream::from_path(zip_file).await?; let key = key.unwrap_or_else(|| format!("{}_code", self.lambda_name)); info!("Uploading function code to s3://{}/{}", self.bucket, key); let _ = self .s3_client .put_object() .bucket(self.bucket.clone()) .key(key.clone()) .body(body) .send() .await?; Ok(FunctionCode::builder() .s3_bucket(self.bucket.clone()) .s3_key(key) .build()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [UpdateFunctionCode](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.update_function_code)。 ### `UpdateFunctionConfiguration` 以下程式碼範例顯示如何使用 `UpdateFunctionConfiguration`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/lambda#code-examples)中設定和執行。 ``` /** Update the environment for a function. */ pub async fn update_function_configuration( &self, environment: Environment, ) -> Result { info!( ?environment, "Updating environment for {}", self.lambda_name ); let updated = self .lambda_client .update_function_configuration() .function_name(self.lambda_name.clone()) .environment(environment) .send() .await .map_err(anyhow::Error::from)?; self.wait_for_function_ready().await?; Ok(updated) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [UpdateFunctionConfiguration](https://docs.rs/aws-sdk-lambda/latest/aws_sdk_lambda/client/struct.Client.html#method.update_function_configuration)。 ## 案例 ### 建立無伺服器應用程式來管理相片 下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。 **適用於 Rust 的 SDK** 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/cross_service/photo_asset_management) 上的完整範例。 如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。 **此範例中使用的服務** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ## 無伺服器範例 ### 連線至 Lambda 函數中的 Amazon RDS 資料庫 以下程式碼範例示範如何實作連線至 RDS 資料庫的 Lambda 函式。該函數會提出簡單的資料庫請求並傳回結果。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/lambda-function-connect-rds-iam)儲存庫中設定和執行。 使用 Rust 連線至 Lambda 函數中的 Amazon RDS 資料庫。 ``` use aws_config::BehaviorVersion; use aws_credential_types::provider::ProvideCredentials; use aws_sigv4::{ http_request::{sign, SignableBody, SignableRequest, SigningSettings}, sign::v4, }; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; use serde_json::{json, Value}; use sqlx::postgres::PgConnectOptions; use std::env; use std::time::{Duration, SystemTime}; const RDS_CERTS: &[u8] = include_bytes!("global-bundle.pem"); async fn generate_rds_iam_token( db_hostname: &str, port: u16, db_username: &str, ) -> Result { let config = aws_config::load_defaults(BehaviorVersion::v2024_03_28()).await; let credentials = config .credentials_provider() .expect("no credentials provider found") .provide_credentials() .await .expect("unable to load credentials"); let identity = credentials.into(); let region = config.region().unwrap().to_string(); let mut signing_settings = SigningSettings::default(); signing_settings.expires_in = Some(Duration::from_secs(900)); signing_settings.signature_location = aws_sigv4::http_request::SignatureLocation::QueryParams; let signing_params = v4::SigningParams::builder() .identity(&identity) .region(®ion) .name("rds-db") .time(SystemTime::now()) .settings(signing_settings) .build()?; let url = format!( "https://{db_hostname}:{port}/?Action=connect&DBUser={db_user}", db_hostname = db_hostname, port = port, db_user = db_username ); let signable_request = SignableRequest::new("GET", &url, std::iter::empty(), SignableBody::Bytes(&[])) .expect("signable request"); let (signing_instructions, _signature) = sign(signable_request, &signing_params.into())?.into_parts(); let mut url = url::Url::parse(&url).unwrap(); for (name, value) in signing_instructions.params() { url.query_pairs_mut().append_pair(name, &value); } let response = url.to_string().split_off("https://".len()); Ok(response) } #[tokio::main] async fn main() -> Result<(), Error> { run(service_fn(handler)).await } async fn handler(_event: LambdaEvent) -> Result { let db_host = env::var("DB_HOSTNAME").expect("DB_HOSTNAME must be set"); let db_port = env::var("DB_PORT") .expect("DB_PORT must be set") .parse::() .expect("PORT must be a valid number"); let db_name = env::var("DB_NAME").expect("DB_NAME must be set"); let db_user_name = env::var("DB_USERNAME").expect("DB_USERNAME must be set"); let token = generate_rds_iam_token(&db_host, db_port, &db_user_name).await?; let opts = PgConnectOptions::new() .host(&db_host) .port(db_port) .username(&db_user_name) .password(&token) .database(&db_name) .ssl_root_cert_from_pem(RDS_CERTS.to_vec()) .ssl_mode(sqlx::postgres::PgSslMode::Require); let pool = sqlx::postgres::PgPoolOptions::new() .connect_with(opts) .await?; let result: i32 = sqlx::query_scalar("SELECT $1 + $2") .bind(3) .bind(2) .fetch_one(&pool) .await?; println!("Result: {:?}", result); Ok(json!({ "statusCode": 200, "content-type": "text/plain", "body": format!("The selected sum is: {result}") })) } ``` ### 使用 Kinesis 觸發條件調用 Lambda 函數 以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 Kinesis 串流的記錄來接收所觸發的事件。此函數會擷取 Kinesis 承載、從 Base64 解碼，並記錄記錄內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-kinesis-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 Kinesis 事件。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::event::kinesis::KinesisEvent; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; async fn function_handler(event: LambdaEvent) -> Result<(), Error> { if event.payload.records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(()); } event.payload.records.iter().for_each(|record| { tracing::info!("EventId: {}",record.event_id.as_deref().unwrap_or_default()); let record_data = std::str::from_utf8(&record.kinesis.data); match record_data { Ok(data) => { // log the record data tracing::info!("Data: {}", data); } Err(e) => { tracing::error!("Error: {}", e); } } }); tracing::info!( "Successfully processed {} records", event.payload.records.len() ); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) // disable printing the name of the module in every log line. .with_target(false) // disabling time is handy because CloudWatch will add the ingestion time. .without_time() .init(); run(service_fn(function_handler)).await } ``` ### 使用 DynamoDB 觸發條件調用 Lambda 函式 以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 DynamoDB 串流的記錄來接收所觸發的事件。函數會擷取 DynamoDB 承載並記下記錄內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 DynamoDB 事件。 ``` use lambda_runtime::{service_fn, tracing, Error, LambdaEvent}; use aws_lambda_events::{ event::dynamodb::{Event, EventRecord}, }; // Built with the following dependencies: //lambda_runtime = "0.11.1" //serde_json = "1.0" //tokio = { version = "1", features = ["macros"] } //tracing = { version = "0.1", features = ["log"] } //tracing-subscriber = { version = "0.3", default-features = false, features = ["fmt"] } //aws_lambda_events = "0.15.0" async fn function_handler(event: LambdaEvent) ->Result<(), Error> { let records = &event.payload.records; tracing::info!("event payload: {:?}",records); if records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(()); } for record in records{ log_dynamo_dbrecord(record); } tracing::info!("Dynamo db records processed"); // Prepare the response Ok(()) } fn log_dynamo_dbrecord(record: &EventRecord)-> Result<(), Error>{ tracing::info!("EventId: {}", record.event_id); tracing::info!("EventName: {}", record.event_name); tracing::info!("DynamoDB Record: {:?}", record.change ); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) .with_target(false) .without_time() .init(); let func = service_fn(function_handler); lambda_runtime::run(func).await?; Ok(()) } ``` ### 使用 Amazon DocumentDB 觸發條件調用 Lambda 函數 以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 DocumentDB 變更串流的記錄來接收所觸發的事件。函數會擷取 DocumentDB 承載並記下記錄內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-docdb-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 使用 Amazon DocumentDB 事件。 ``` use lambda_runtime::{service_fn, tracing, Error, LambdaEvent}; use aws_lambda_events::{ event::documentdb::{DocumentDbEvent, DocumentDbInnerEvent}, }; // Built with the following dependencies: //lambda_runtime = "0.11.1" //serde_json = "1.0" //tokio = { version = "1", features = ["macros"] } //tracing = { version = "0.1", features = ["log"] } //tracing-subscriber = { version = "0.3", default-features = false, features = ["fmt"] } //aws_lambda_events = "0.15.0" async fn function_handler(event: LambdaEvent) ->Result<(), Error> { tracing::info!("Event Source ARN: {:?}", event.payload.event_source_arn); tracing::info!("Event Source: {:?}", event.payload.event_source); let records = &event.payload.events; if records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(()); } for record in records{ log_document_db_event(record); } tracing::info!("Document db records processed"); // Prepare the response Ok(()) } fn log_document_db_event(record: &DocumentDbInnerEvent)-> Result<(), Error>{ tracing::info!("Change Event: {:?}", record.event); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) .with_target(false) .without_time() .init(); let func = service_fn(function_handler); lambda_runtime::run(func).await?; Ok(()) } ``` ### 使用 Amazon MSK 觸發條件調用 Lambda 函數 以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 Amazon MSK 叢集的記錄來接收所觸發的事件。函數會擷取 MSK 承載並記下記錄內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-msk-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 取用 Amazon MSK 事件。 ``` use aws_lambda_events::event::kafka::KafkaEvent; use lambda_runtime::{run, service_fn, tracing, Error, LambdaEvent}; use base64::prelude::*; use serde_json::{Value}; use tracing::{info}; /// Pre-Requisites: /// 1. Install Cargo Lambda - see https://www.cargo-lambda.info/guide/getting-started.html /// 2. Add packages tracing, tracing-subscriber, serde_json, base64 /// /// This is the main body for the function. /// Write your code inside it. /// There are some code example in the following URLs: /// - https://github.com/awslabs/aws-lambda-rust-runtime/tree/main/examples /// - https://github.com/aws-samples/serverless-rust-demo/ async fn function_handler(event: LambdaEvent) -> Result { let payload = event.payload.records; for (_name, records) in payload.iter() { for record in records { let record_text = record.value.as_ref().ok_or("Value is None")?; info!("Record: {}", &record_text); // perform Base64 decoding let record_bytes = BASE64_STANDARD.decode(record_text)?; let message = std::str::from_utf8(&record_bytes)?; info!("Message: {}", message); } } Ok(().into()) } #[tokio::main] async fn main() -> Result<(), Error> { // required to enable CloudWatch error logging by the runtime tracing::init_default_subscriber(); info!("Setup CW subscriber!"); run(service_fn(function_handler)).await } ``` ### 使用 Amazon S3 觸發條件調用 Lambda 函數 下列程式碼範例示範如何實作 Lambda 函式，該函式接收透過上傳物件至 S3 儲存貯體時所觸發的事件。此函數會從事件參數擷取 S3 儲存貯體名稱和物件金鑰，並呼叫 Amazon S3 API 以擷取和記錄物件的內容類型。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-s3-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 S3 事件。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::event::s3::S3Event; use aws_sdk_s3::{Client}; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; /// Main function #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) .with_target(false) .without_time() .init(); // Initialize the AWS SDK for Rust let config = aws_config::load_from_env().await; let s3_client = Client::new(&config); let res = run(service_fn(|request: LambdaEvent| { function_handler(&s3_client, request) })).await; res } async fn function_handler( s3_client: &Client, evt: LambdaEvent ) -> Result<(), Error> { tracing::info!(records = ?evt.payload.records.len(), "Received request from SQS"); if evt.payload.records.len() == 0 { tracing::info!("Empty S3 event received"); } let bucket = evt.payload.records[0].s3.bucket.name.as_ref().expect("Bucket name to exist"); let key = evt.payload.records[0].s3.object.key.as_ref().expect("Object key to exist"); tracing::info!("Request is for {} and object {}", bucket, key); let s3_get_object_result = s3_client .get_object() .bucket(bucket) .key(key) .send() .await; match s3_get_object_result { Ok(_) => tracing::info!("S3 Get Object success, the s3GetObjectResult contains a 'body' property of type ByteStream"), Err(_) => tracing::info!("Failure with S3 Get Object request") } Ok(()) } ``` ### 使用 Amazon SNS 觸發條件調用 Lambda 函數 下列程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 SNS 主題的訊息來接收所觸發的事件。函數會從事件參數擷取訊息，並記錄每一則訊息的內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-sns-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 SNS 事件。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::event::sns::SnsEvent; use aws_lambda_events::sns::SnsRecord; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; use tracing::info; // Built with the following dependencies: // aws_lambda_events = { version = "0.10.0", default-features = false, features = ["sns"] } // lambda_runtime = "0.8.1" // tokio = { version = "1", features = ["macros"] } // tracing = { version = "0.1", features = ["log"] } // tracing-subscriber = { version = "0.3", default-features = false, features = ["fmt"] } async fn function_handler(event: LambdaEvent) -> Result<(), Error> { for event in event.payload.records { process_record(&event)?; } Ok(()) } fn process_record(record: &SnsRecord) -> Result<(), Error> { info!("Processing SNS Message: {}", record.sns.message); // Implement your record handling code here. Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) .with_target(false) .without_time() .init(); run(service_fn(function_handler)).await } ``` ### 使用 Amazon SQS 觸發條件調用 Lambda 函數 下列程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 SQS 佇列的訊息來接收所觸發的事件。函數會從事件參數擷取訊息，並記錄每一則訊息的內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-sqs-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 SQS 事件。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::event::sqs::SqsEvent; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; async fn function_handler(event: LambdaEvent) -> Result<(), Error> { event.payload.records.iter().for_each(|record| { // process the record tracing::info!("Message body: {}", record.body.as_deref().unwrap_or_default()) }); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) // disable printing the name of the module in every log line. .with_target(false) // disabling time is handy because CloudWatch will add the ingestion time. .without_time() .init(); run(service_fn(function_handler)).await } ``` ### 使用 Kinesis 觸發條件報告 Lambda 函數的批次項目失敗 下列程式碼範例示範如何針對接收來自 Kinesis 串流之事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-kinesis-to-lambda-with-batch-item-handling)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來報告 Kinesis 批次項目失敗。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::{ event::kinesis::KinesisEvent, kinesis::KinesisEventRecord, streams::{KinesisBatchItemFailure, KinesisEventResponse}, }; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; async fn function_handler(event: LambdaEvent) -> Result { let mut response = KinesisEventResponse { batch_item_failures: vec![], }; if event.payload.records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(response); } for record in &event.payload.records { tracing::info!( "EventId: {}", record.event_id.as_deref().unwrap_or_default() ); let record_processing_result = process_record(record); if record_processing_result.is_err() { response.batch_item_failures.push(KinesisBatchItemFailure { item_identifier: record.kinesis.sequence_number.clone(), }); /* Since we are working with streams, we can return the failed item immediately. Lambda will immediately begin to retry processing from this failed item onwards. */ return Ok(response); } } tracing::info!( "Successfully processed {} records", event.payload.records.len() ); Ok(response) } fn process_record(record: &KinesisEventRecord) -> Result<(), Error> { let record_data = std::str::from_utf8(record.kinesis.data.as_slice()); if let Some(err) = record_data.err() { tracing::error!("Error: {}", err); return Err(Error::from(err)); } let record_data = record_data.unwrap_or_default(); // do something interesting with the data tracing::info!("Data: {}", record_data); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) // disable printing the name of the module in every log line. .with_target(false) // disabling time is handy because CloudWatch will add the ingestion time. .without_time() .init(); run(service_fn(function_handler)).await } ``` ### 使用 DynamoDB 觸發條件報告 Lambda 函式的批次項目失敗 下列程式碼範例示範如何針對接收來自 DynamoDB 串流之事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 報告 DynamoDB 批次項目失敗。 ``` use aws_lambda_events::{ event::dynamodb::{Event, EventRecord, StreamRecord}, streams::{DynamoDbBatchItemFailure, DynamoDbEventResponse}, }; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; /// Process the stream record fn process_record(record: &EventRecord) -> Result<(), Error> { let stream_record: &StreamRecord = &record.change; // process your stream record here... tracing::info!("Data: {:?}", stream_record); Ok(()) } /// Main Lambda handler here... async fn function_handler(event: LambdaEvent) -> Result { let mut response = DynamoDbEventResponse { batch_item_failures: vec![], }; let records = &event.payload.records; if records.is_empty() { tracing::info!("No records found. Exiting."); return Ok(response); } for record in records { tracing::info!("EventId: {}", record.event_id); // Couldn't find a sequence number if record.change.sequence_number.is_none() { response.batch_item_failures.push(DynamoDbBatchItemFailure { item_identifier: Some("".to_string()), }); return Ok(response); } // Process your record here... if process_record(record).is_err() { response.batch_item_failures.push(DynamoDbBatchItemFailure { item_identifier: record.change.sequence_number.clone(), }); /* Since we are working with streams, we can return the failed item immediately. Lambda will immediately begin to retry processing from this failed item onwards. */ return Ok(response); } } tracing::info!("Successfully processed {} record(s)", records.len()); Ok(response) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) // disable printing the name of the module in every log line. .with_target(false) // disabling time is handy because CloudWatch will add the ingestion time. .without_time() .init(); run(service_fn(function_handler)).await } ``` ### 使用 Amazon SQS 觸發條件報告 Lambda 函數的批次項目失敗 下列程式碼範例示範如何為接收從 SQS 佇列接收事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/lambda-function-sqs-report-batch-item-failures)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 報告 SQS 批次項目失敗。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::{ event::sqs::{SqsBatchResponse, SqsEvent}, sqs::{BatchItemFailure, SqsMessage}, }; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; async fn process_record(_: &SqsMessage) -> Result<(), Error> { Err(Error::from("Error processing message")) } async fn function_handler(event: LambdaEvent) -> Result { let mut batch_item_failures = Vec::new(); for record in event.payload.records { match process_record(&record).await { Ok(_) => (), Err(_) => batch_item_failures.push(BatchItemFailure { item_identifier: record.message_id.unwrap(), }), } } Ok(SqsBatchResponse { batch_item_failures, }) } #[tokio::main] async fn main() -> Result<(), Error> { run(service_fn(function_handler)).await } ``` ## AWS 社群貢獻 ### 建置和測試無伺服器應用程式 下列程式碼範例示範如何搭配 Lambda 和 DynamoDB 使用 API Gateway，建置和測試無伺服器應用程式 **適用於 Rust 的 SDK** 示範如何使用 Rust SDK 建置和測試無伺服器應用程式，而該應用程式是由具有 Lambda 和 DynamoDB 的 API Gateway 組成。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/aws-samples/serverless-rust-demo) 上的完整範例。 **此範例中使用的服務** + API Gateway + DynamoDB + Lambda # 使用 SDK for Rust 的 MediaLive 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 MediaLive 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `ListInputs` 以下程式碼範例顯示如何使用 `ListInputs`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/medialive#code-examples)中設定和執行。 在區域中列出您的 MediaLive 輸入名稱和 ARN。 ``` async fn show_inputs(client: &Client) -> Result<(), Error> { let input_list = client.list_inputs().send().await?; for i in input_list.inputs() { let input_arn = i.arn().unwrap_or_default(); let input_name = i.name().unwrap_or_default(); println!("Input Name : {}", input_name); println!("Input ARN : {}", input_arn); println!(); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListInputs](https://docs.rs/aws-sdk-medialive/latest/aws_sdk_medialive/client/struct.Client.html#method.list_inputs)。 # 使用 SDK for Rust 的 MediaPackage 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 MediaPackage 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `ListChannels` 以下程式碼範例顯示如何使用 `ListChannels`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/mediapackage#code-examples)中設定和執行。 列出頻道 ARN和描述。 ``` async fn show_channels(client: &Client) -> Result<(), Error> { let list_channels = client.list_channels().send().await?; println!("Channels:"); for c in list_channels.channels() { let description = c.description().unwrap_or_default(); let arn = c.arn().unwrap_or_default(); println!(" Description : {}", description); println!(" ARN : {}", arn); println!(); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListChannels](https://docs.rs/aws-sdk-mediapackage/latest/aws_sdk_mediapackage/client/struct.Client.html#method.list_channels)。 ### `ListOriginEndpoints` 以下程式碼範例顯示如何使用 `ListOriginEndpoints`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/mediapackage#code-examples)中設定和執行。 列出您的端點描述和 URL。 ``` async fn show_endpoints(client: &Client) -> Result<(), Error> { let or_endpoints = client.list_origin_endpoints().send().await?; println!("Endpoints:"); for e in or_endpoints.origin_endpoints() { let endpoint_url = e.url().unwrap_or_default(); let endpoint_description = e.description().unwrap_or_default(); println!(" Description: {}", endpoint_description); println!(" URL : {}", endpoint_url); println!(); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListOriginEndpoints](https://docs.rs/aws-sdk-mediapackage/latest/aws_sdk_mediapackage/client/struct.Client.html#method.list_origin_endpoints)。 # 使用 SDK for Rust 的 Amazon MSK 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon MSK 來執行動作和實作常見案例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [無伺服器範例](#serverless_examples) ## 無伺服器範例 ### 使用 Amazon MSK 觸發條件調用 Lambda 函數 以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 Amazon MSK 叢集的記錄來接收所觸發的事件。函數會擷取 MSK 承載並記下記錄內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-msk-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 取用 Amazon MSK 事件。 ``` use aws_lambda_events::event::kafka::KafkaEvent; use lambda_runtime::{run, service_fn, tracing, Error, LambdaEvent}; use base64::prelude::*; use serde_json::{Value}; use tracing::{info}; /// Pre-Requisites: /// 1. Install Cargo Lambda - see https://www.cargo-lambda.info/guide/getting-started.html /// 2. Add packages tracing, tracing-subscriber, serde_json, base64 /// /// This is the main body for the function. /// Write your code inside it. /// There are some code example in the following URLs: /// - https://github.com/awslabs/aws-lambda-rust-runtime/tree/main/examples /// - https://github.com/aws-samples/serverless-rust-demo/ async fn function_handler(event: LambdaEvent) -> Result { let payload = event.payload.records; for (_name, records) in payload.iter() { for record in records { let record_text = record.value.as_ref().ok_or("Value is None")?; info!("Record: {}", &record_text); // perform Base64 decoding let record_bytes = BASE64_STANDARD.decode(record_text)?; let message = std::str::from_utf8(&record_bytes)?; info!("Message: {}", message); } } Ok(().into()) } #[tokio::main] async fn main() -> Result<(), Error> { // required to enable CloudWatch error logging by the runtime tracing::init_default_subscriber(); info!("Setup CW subscriber!"); run(service_fn(function_handler)).await } ``` # 使用 SDK for Rust 的 Amazon Polly 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon Polly 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) + [案例](#scenarios) ## 動作 ### `DescribeVoices` 以下程式碼範例顯示如何使用 `DescribeVoices`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/polly#code-examples)中設定和執行。 ``` async fn list_voices(client: &Client) -> Result<(), Error> { let resp = client.describe_voices().send().await?; println!("Voices:"); let voices = resp.voices(); for voice in voices { println!(" Name: {}", voice.name().unwrap_or("No name!")); println!( " Language: {}", voice.language_name().unwrap_or("No language!") ); println!(); } println!("Found {} voices", voices.len()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DescribeVoices](https://docs.rs/aws-sdk-polly/latest/aws_sdk_polly/client/struct.Client.html#method.describe_voices)。 ### `ListLexicons` 以下程式碼範例顯示如何使用 `ListLexicons`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/polly#code-examples)中設定和執行。 ``` async fn show_lexicons(client: &Client) -> Result<(), Error> { let resp = client.list_lexicons().send().await?; println!("Lexicons:"); let lexicons = resp.lexicons(); for lexicon in lexicons { println!(" Name: {}", lexicon.name().unwrap_or_default()); println!( " Language: {:?}\n", lexicon .attributes() .as_ref() .map(|attrib| attrib .language_code .as_ref() .expect("languages must have language codes")) .expect("languages must have attributes") ); } println!(); println!("Found {} lexicons.", lexicons.len()); println!(); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListLexicons](https://docs.rs/aws-sdk-polly/latest/aws_sdk_polly/client/struct.Client.html#method.list_lexicons)。 ### `PutLexicon` 以下程式碼範例顯示如何使用 `PutLexicon`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/polly#code-examples)中設定和執行。 ``` async fn make_lexicon(client: &Client, name: &str, from: &str, to: &str) -> Result<(), Error> { let content = format!(" {}{} ", from, to); client .put_lexicon() .name(name) .content(content) .send() .await?; println!("Added lexicon"); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [PutLexicon](https://docs.rs/aws-sdk-polly/latest/aws_sdk_polly/client/struct.Client.html#method.put_lexicon)。 ### `SynthesizeSpeech` 以下程式碼範例顯示如何使用 `SynthesizeSpeech`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/polly#code-examples)中設定和執行。 ``` async fn synthesize(client: &Client, filename: &str) -> Result<(), Error> { let content = fs::read_to_string(filename); let resp = client .synthesize_speech() .output_format(OutputFormat::Mp3) .text(content.unwrap()) .voice_id(VoiceId::Joanna) .send() .await?; // Get MP3 data from response and save it let mut blob = resp .audio_stream .collect() .await .expect("failed to read data"); let parts: Vec<&str> = filename.split('.').collect(); let out_file = format!("{}{}", String::from(parts[0]), ".mp3"); let mut file = tokio::fs::File::create(out_file) .await .expect("failed to create file"); file.write_all_buf(&mut blob) .await .expect("failed to write to file"); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [SynthesizeSpeech](https://docs.rs/aws-sdk-polly/latest/aws_sdk_polly/client/struct.Client.html#method.synthesize_speech)。 ## 案例 ### 將文字轉換為語音然後返回文字 以下程式碼範例顯示做法： + 使用 Amazon Polly 將純文字 (UTF-8) 輸入檔案合成至音訊檔案中。 + 將音訊檔案上傳至 Amazon S3 儲存貯體。 + 使用 Amazon Transcribe 將音訊檔案轉換為文字。 + 顯示文字。 **適用於 Rust 的 SDK** 使用 Amazon Polly 將純文字 (UTF-8) 輸入檔案合成至音訊檔案中，將音訊檔案上傳至 Amazon S3 儲存貯體，使用 Amazon Transcribe 將該音訊檔案轉換為文字，然後顯示文字。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/rustv1/cross_service#code-examples) 上的完整範例。 **此範例中使用的服務** + Amazon Polly + Amazon S3 + Amazon Transcribe # 使用 SDK for Rust 的 Amazon RDS 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon RDS 來執行動作和實作常見案例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [無伺服器範例](#serverless_examples) ## 無伺服器範例 ### 連線至 Lambda 函數中的 Amazon RDS 資料庫 以下程式碼範例示範如何實作連線至 RDS 資料庫的 Lambda 函式。該函數會提出簡單的資料庫請求並傳回結果。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/lambda-function-connect-rds-iam)儲存庫中設定和執行。 使用 Rust 連線至 Lambda 函數中的 Amazon RDS 資料庫。 ``` use aws_config::BehaviorVersion; use aws_credential_types::provider::ProvideCredentials; use aws_sigv4::{ http_request::{sign, SignableBody, SignableRequest, SigningSettings}, sign::v4, }; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; use serde_json::{json, Value}; use sqlx::postgres::PgConnectOptions; use std::env; use std::time::{Duration, SystemTime}; const RDS_CERTS: &[u8] = include_bytes!("global-bundle.pem"); async fn generate_rds_iam_token( db_hostname: &str, port: u16, db_username: &str, ) -> Result { let config = aws_config::load_defaults(BehaviorVersion::v2024_03_28()).await; let credentials = config .credentials_provider() .expect("no credentials provider found") .provide_credentials() .await .expect("unable to load credentials"); let identity = credentials.into(); let region = config.region().unwrap().to_string(); let mut signing_settings = SigningSettings::default(); signing_settings.expires_in = Some(Duration::from_secs(900)); signing_settings.signature_location = aws_sigv4::http_request::SignatureLocation::QueryParams; let signing_params = v4::SigningParams::builder() .identity(&identity) .region(®ion) .name("rds-db") .time(SystemTime::now()) .settings(signing_settings) .build()?; let url = format!( "https://{db_hostname}:{port}/?Action=connect&DBUser={db_user}", db_hostname = db_hostname, port = port, db_user = db_username ); let signable_request = SignableRequest::new("GET", &url, std::iter::empty(), SignableBody::Bytes(&[])) .expect("signable request"); let (signing_instructions, _signature) = sign(signable_request, &signing_params.into())?.into_parts(); let mut url = url::Url::parse(&url).unwrap(); for (name, value) in signing_instructions.params() { url.query_pairs_mut().append_pair(name, &value); } let response = url.to_string().split_off("https://".len()); Ok(response) } #[tokio::main] async fn main() -> Result<(), Error> { run(service_fn(handler)).await } async fn handler(_event: LambdaEvent) -> Result { let db_host = env::var("DB_HOSTNAME").expect("DB_HOSTNAME must be set"); let db_port = env::var("DB_PORT") .expect("DB_PORT must be set") .parse::() .expect("PORT must be a valid number"); let db_name = env::var("DB_NAME").expect("DB_NAME must be set"); let db_user_name = env::var("DB_USERNAME").expect("DB_USERNAME must be set"); let token = generate_rds_iam_token(&db_host, db_port, &db_user_name).await?; let opts = PgConnectOptions::new() .host(&db_host) .port(db_port) .username(&db_user_name) .password(&token) .database(&db_name) .ssl_root_cert_from_pem(RDS_CERTS.to_vec()) .ssl_mode(sqlx::postgres::PgSslMode::Require); let pool = sqlx::postgres::PgPoolOptions::new() .connect_with(opts) .await?; let result: i32 = sqlx::query_scalar("SELECT $1 + $2") .bind(3) .bind(2) .fetch_one(&pool) .await?; println!("Result: {:?}", result); Ok(json!({ "statusCode": 200, "content-type": "text/plain", "body": format!("The selected sum is: {result}") })) } ``` # 使用SDK for Rust 的 Amazon RDS Data Service 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon RDS Data Service 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `ExecuteStatement` 以下程式碼範例顯示如何使用 `ExecuteStatement`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/rdsdata#code-examples)中設定和執行。 ``` async fn query_cluster( client: &Client, cluster_arn: &str, query: &str, secret_arn: &str, ) -> Result<(), Error> { let st = client .execute_statement() .resource_arn(cluster_arn) .database("postgres") // Do not confuse this with db instance name .sql(query) .secret_arn(secret_arn); let result = st.send().await?; println!("{:?}", result); println!(); Ok(()) } ``` + 如需 API 的詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的 [ExecuteStatement](https://docs.rs/aws-sdk-rdsdata/latest/aws_sdk_rdsdata/client/struct.Client.html#method.execute_statement)。 # 使用 SDK for Rust 的 Amazon Rekognition 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon Rekognition 來執行動作和實作常見案例。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [案例](#scenarios) ## 案例 ### 建立無伺服器應用程式來管理相片 下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。 **適用於 Rust 的 SDK** 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/cross_service/photo_asset_management) 上的完整範例。 如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。 **此範例中使用的服務** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ### 偵測映像中的人臉 以下程式碼範例顯示做法： + 在 Amazon S3 儲存貯體儲存映像。 + 使用 Amazon Rekognition 偵測面部細節，例如年齡範圍、性別和情感 (例如微笑)。 + 顯示這些詳細資訊。 **適用於 Rust 的 SDK** 將映像儲存在 Amazon S3 儲存貯體中，並包含**上傳**字首，使用 Amazon Rekognition 偵測面部細節，例如年齡範圍、性別和情感 (微笑等)，並顯示這些詳細資訊。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/rustv1/cross_service/detect_faces/src/main.rs) 上的完整範例。 **此範例中使用的服務** + Amazon Rekognition + Amazon S3 ### 儲存 EXIF 和其他映像資訊 以下程式碼範例顯示做法： + 從 JPG、JPEG 或 PNG 檔案中取得 EXIF 資訊。 + 將映像檔案上傳至 Amazon S3 儲存貯體。 + 使用 Amazon Rekognition 識別檔案中的三個主要屬性 (標籤)。 + 將 EXIF 和標籤資訊新增至區域中的 Amazon DynamoDB 資料表。 **適用於 Rust 的 SDK** 從 JPG、JPEG 或 PNG 檔案獲取 EXIF 資訊，將映像檔案上傳至 Amazon S3 儲存貯體，使用 Amazon Rekognition 識別三個主要屬性 (Amazon Rekognition 中的*標籤*)，然後將 EXIF 和標籤資訊新增至區域中的 Amazon DynamoDB 資料表中。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/rustv1/cross_service/detect_labels/src/main.rs) 上的完整範例。 **此範例中使用的服務** + DynamoDB + Amazon Rekognition + Amazon S3 # 使用 SDK for Rust 的 Route 53 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Route 53 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `ListHostedZones` 以下程式碼範例顯示如何使用 `ListHostedZones`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/route53#code-examples)中設定和執行。 ``` async fn show_host_info(client: &aws_sdk_route53::Client) -> Result<(), aws_sdk_route53::Error> { let hosted_zone_count = client.get_hosted_zone_count().send().await?; println!( "Number of hosted zones in region : {}", hosted_zone_count.hosted_zone_count(), ); let hosted_zones = client.list_hosted_zones().send().await?; println!("Zones:"); for hz in hosted_zones.hosted_zones() { let zone_name = hz.name(); let zone_id = hz.id(); println!(" ID : {}", zone_id); println!(" Name : {}", zone_name); println!(); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [ListHostedZones](https://docs.rs/aws-sdk-route53/latest/aws_sdk_route53/client/struct.Client.html#method.list_hosted_zones)。 # 使用 SDK for Rust 的 Amazon S3 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon S3 來執行動作和實作常見案例。 *基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [開始使用](#get_started) + [基本概念](#basics) + [動作](#actions) + [案例](#scenarios) + [無伺服器範例](#serverless_examples) ## 開始使用 ### 您好 Amazon S3 下列程式碼範例示範如何開始使用 Amazon S3。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` /// S3 Hello World Example using the AWS SDK for Rust. /// /// This example lists the objects in a bucket, uploads an object to that bucket, /// and then retrieves the object and prints some S3 information about the object. /// This shows a number of S3 features, including how to use built-in paginators /// for large data sets. /// /// # Arguments /// /// * `client` - an S3 client configured appropriately for the environment. /// * `bucket` - the bucket name that the object will be uploaded to. Must be present in the region the `client` is configured to use. /// * `filename` - a reference to a path that will be read and uploaded to S3. /// * `key` - the string key that the object will be uploaded as inside the bucket. async fn list_bucket_and_upload_object( client: &aws_sdk_s3::Client, bucket: &str, filepath: &Path, key: &str, ) -> Result<(), S3ExampleError> { // List the buckets in this account let mut objects = client .list_objects_v2() .bucket(bucket) .into_paginator() .send(); println!("key\tetag\tlast_modified\tstorage_class"); while let Some(Ok(object)) = objects.next().await { for item in object.contents() { println!( "{}\t{}\t{}\t{}", item.key().unwrap_or_default(), item.e_tag().unwrap_or_default(), item.last_modified() .map(|lm| format!("{lm}")) .unwrap_or_default(), item.storage_class() .map(|sc| format!("{sc}")) .unwrap_or_default() ); } } // Prepare a ByteStream around the file, and upload the object using that ByteStream. let body = aws_sdk_s3::primitives::ByteStream::from_path(filepath) .await .map_err(|err| { S3ExampleError::new(format!( "Failed to create bytestream for {filepath:?} ({err:?})" )) })?; let resp = client .put_object() .bucket(bucket) .key(key) .body(body) .send() .await?; println!( "Upload success. Version: {:?}", resp.version_id() .expect("S3 Object upload missing version ID") ); // Retrieve the just-uploaded object. let resp = client.get_object().bucket(bucket).key(key).send().await?; println!("etag: {}", resp.e_tag().unwrap_or("(missing)")); println!("version: {}", resp.version_id().unwrap_or("(missing)")); Ok(()) } ``` S3ExampleError 公用程式。 ``` /// S3ExampleError provides a From impl to extract /// client-specific error details. This serves as a consistent backup to handling /// specific service errors, depending on what is needed by the scenario. /// It is used throughout the code examples for the AWS SDK for Rust. #[derive(Debug)] pub struct S3ExampleError(String); impl S3ExampleError { pub fn new(value: impl Into) -> Self { S3ExampleError(value.into()) } pub fn add_message(self, message: impl Into) -> Self { S3ExampleError(format!("{}: {}", message.into(), self.0)) } } impl From for S3ExampleError { fn from(value: T) -> Self { S3ExampleError(format!( "{}: {}", value .code() .map(String::from) .unwrap_or("unknown code".into()), value .message() .map(String::from) .unwrap_or("missing reason".into()), )) } } impl std::error::Error for S3ExampleError {} impl std::fmt::Display for S3ExampleError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "{}", self.0) } } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [ListBuckets](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.list_buckets)。 ## 基本概念 ### 了解基本概念 以下程式碼範例顯示做法： + 建立儲存貯體並上傳檔案到該儲存貯體。 + 從儲存貯體下載物件。 + 將物件複製至儲存貯體中的子文件夾。 + 列出儲存貯體中的物件。 + 刪除儲存貯體物件和該儲存貯體。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 案例中執行的二進制文件的程式碼。 ``` #![allow(clippy::result_large_err)] //! Purpose //! Shows how to use the AWS SDK for Rust to get started using //! Amazon Simple Storage Service (Amazon S3). Create a bucket, move objects into and out of it, //! and delete all resources at the end of the demo. //! //! This example follows the steps in "Getting started with Amazon S3" in the Amazon S3 //! user guide. //! - https://docs.aws.amazon.com/AmazonS3/latest/userguide/GetStartedWithS3.html use aws_config::meta::region::RegionProviderChain; use aws_sdk_s3::{config::Region, Client}; use s3_code_examples::error::S3ExampleError; use uuid::Uuid; #[tokio::main] async fn main() -> Result<(), S3ExampleError> { let region_provider = RegionProviderChain::first_try(Region::new("us-west-2")); let region = region_provider.region().await.unwrap(); let shared_config = aws_config::from_env().region(region_provider).load().await; let client = Client::new(&shared_config); let bucket_name = format!("amzn-s3-demo-bucket-{}", Uuid::new_v4()); let file_name = "s3/testfile.txt".to_string(); let key = "test file key name".to_string(); let target_key = "target_key".to_string(); if let Err(e) = run_s3_operations(region, client, bucket_name, file_name, key, target_key).await { eprintln!("{:?}", e); }; Ok(()) } async fn run_s3_operations( region: Region, client: Client, bucket_name: String, file_name: String, key: String, target_key: String, ) -> Result<(), S3ExampleError> { s3_code_examples::create_bucket(&client, &bucket_name, ®ion).await?; let run_example: Result<(), S3ExampleError> = (async { s3_code_examples::upload_object(&client, &bucket_name, &file_name, &key).await?; let _object = s3_code_examples::download_object(&client, &bucket_name, &key).await; s3_code_examples::copy_object(&client, &bucket_name, &bucket_name, &key, &target_key) .await?; s3_code_examples::list_objects(&client, &bucket_name).await?; s3_code_examples::clear_bucket(&client, &bucket_name).await?; Ok(()) }) .await; if let Err(err) = run_example { eprintln!("Failed to complete getting-started example: {err:?}"); } s3_code_examples::delete_bucket(&client, &bucket_name).await?; Ok(()) } ``` 案例使用的常見動作。 ``` pub async fn create_bucket( client: &aws_sdk_s3::Client, bucket_name: &str, region: &aws_config::Region, ) -> Result, S3ExampleError> { let constraint = aws_sdk_s3::types::BucketLocationConstraint::from(region.to_string().as_str()); let cfg = aws_sdk_s3::types::CreateBucketConfiguration::builder() .location_constraint(constraint) .build(); let create = client .create_bucket() .create_bucket_configuration(cfg) .bucket(bucket_name) .send() .await; // BucketAlreadyExists and BucketAlreadyOwnedByYou are not problems for this task. create.map(Some).or_else(|err| { if err .as_service_error() .map(|se| se.is_bucket_already_exists() || se.is_bucket_already_owned_by_you()) == Some(true) { Ok(None) } else { Err(S3ExampleError::from(err)) } }) } pub async fn upload_object( client: &aws_sdk_s3::Client, bucket_name: &str, file_name: &str, key: &str, ) -> Result { let body = aws_sdk_s3::primitives::ByteStream::from_path(std::path::Path::new(file_name)).await; client .put_object() .bucket(bucket_name) .key(key) .body(body.unwrap()) .send() .await .map_err(S3ExampleError::from) } pub async fn download_object( client: &aws_sdk_s3::Client, bucket_name: &str, key: &str, ) -> Result { client .get_object() .bucket(bucket_name) .key(key) .send() .await .map_err(S3ExampleError::from) } /// Copy an object from one bucket to another. pub async fn copy_object( client: &aws_sdk_s3::Client, source_bucket: &str, destination_bucket: &str, source_object: &str, destination_object: &str, ) -> Result<(), S3ExampleError> { let source_key = format!("{source_bucket}/{source_object}"); let response = client .copy_object() .copy_source(&source_key) .bucket(destination_bucket) .key(destination_object) .send() .await?; println!( "Copied from {source_key} to {destination_bucket}/{destination_object} with etag {}", response .copy_object_result .unwrap_or_else(|| aws_sdk_s3::types::CopyObjectResult::builder().build()) .e_tag() .unwrap_or("missing") ); Ok(()) } pub async fn list_objects(client: &aws_sdk_s3::Client, bucket: &str) -> Result<(), S3ExampleError> { let mut response = client .list_objects_v2() .bucket(bucket.to_owned()) .max_keys(10) // In this example, go 10 at a time. .into_paginator() .send(); while let Some(result) = response.next().await { match result { Ok(output) => { for object in output.contents() { println!(" - {}", object.key().unwrap_or("Unknown")); } } Err(err) => { eprintln!("{err:?}") } } } Ok(()) } /// Given a bucket, remove all objects in the bucket, and then ensure no objects /// remain in the bucket. pub async fn clear_bucket( client: &aws_sdk_s3::Client, bucket_name: &str, ) -> Result, S3ExampleError> { let objects = client.list_objects_v2().bucket(bucket_name).send().await?; // delete_objects no longer needs to be mutable. let objects_to_delete: Vec = objects .contents() .iter() .filter_map(|obj| obj.key()) .map(String::from) .collect(); if objects_to_delete.is_empty() { return Ok(vec![]); } let return_keys = objects_to_delete.clone(); delete_objects(client, bucket_name, objects_to_delete).await?; let objects = client.list_objects_v2().bucket(bucket_name).send().await?; eprintln!("{objects:?}"); match objects.key_count { Some(0) => Ok(return_keys), _ => Err(S3ExampleError::new( "There were still objects left in the bucket.", )), } } pub async fn delete_bucket( client: &aws_sdk_s3::Client, bucket_name: &str, ) -> Result<(), S3ExampleError> { let resp = client.delete_bucket().bucket(bucket_name).send().await; match resp { Ok(_) => Ok(()), Err(err) => { if err .as_service_error() .and_then(aws_sdk_s3::error::ProvideErrorMetadata::code) == Some("NoSuchBucket") { Ok(()) } else { Err(S3ExampleError::from(err)) } } } } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的下列主題。 + [CopyObject](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.copy_object) + [CreateBucket](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.create_bucket) + [DeleteBucket](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.delete_bucket) + [DeleteObjects](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.delete_objects) + [GetObject](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.get_object) + [ListObjectsV2](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.list_objects_v2) + [PutObject](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.put_object) ## 動作 ### `CompleteMultipartUpload` 以下程式碼範例顯示如何使用 `CompleteMultipartUpload`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` // upload_parts: Vec let completed_multipart_upload: CompletedMultipartUpload = CompletedMultipartUpload::builder() .set_parts(Some(upload_parts)) .build(); let _complete_multipart_upload_res = client .complete_multipart_upload() .bucket(&bucket_name) .key(&key) .multipart_upload(completed_multipart_upload) .upload_id(upload_id) .send() .await?; ``` ``` // Create a multipart upload. Use UploadPart and CompleteMultipartUpload to // upload the file. let multipart_upload_res: CreateMultipartUploadOutput = client .create_multipart_upload() .bucket(&bucket_name) .key(&key) .send() .await?; let upload_id = multipart_upload_res.upload_id().ok_or(S3ExampleError::new( "Missing upload_id after CreateMultipartUpload", ))?; ``` ``` let mut upload_parts: Vec = Vec::new(); for chunk_index in 0..chunk_count { let this_chunk = if chunk_count - 1 == chunk_index { size_of_last_chunk } else { CHUNK_SIZE }; let stream = ByteStream::read_from() .path(path) .offset(chunk_index * CHUNK_SIZE) .length(Length::Exact(this_chunk)) .build() .await .unwrap(); // Chunk index needs to start at 0, but part numbers start at 1. let part_number = (chunk_index as i32) + 1; let upload_part_res = client .upload_part() .key(&key) .bucket(&bucket_name) .upload_id(upload_id) .body(stream) .part_number(part_number) .send() .await?; upload_parts.push( CompletedPart::builder() .e_tag(upload_part_res.e_tag.unwrap_or_default()) .part_number(part_number) .build(), ); } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [CompleteMultipartUpload](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.complete_multipart_upload)。 ### `CopyObject` 以下程式碼範例顯示如何使用 `CopyObject`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` /// Copy an object from one bucket to another. pub async fn copy_object( client: &aws_sdk_s3::Client, source_bucket: &str, destination_bucket: &str, source_object: &str, destination_object: &str, ) -> Result<(), S3ExampleError> { let source_key = format!("{source_bucket}/{source_object}"); let response = client .copy_object() .copy_source(&source_key) .bucket(destination_bucket) .key(destination_object) .send() .await?; println!( "Copied from {source_key} to {destination_bucket}/{destination_object} with etag {}", response .copy_object_result .unwrap_or_else(|| aws_sdk_s3::types::CopyObjectResult::builder().build()) .e_tag() .unwrap_or("missing") ); Ok(()) } ``` + 如需 API 詳細資訊，請參閱 *《適用於 Rust 的AWS SDK API 參考》*中的 [CopyObject](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.copy_object)。 ### `CreateBucket` 以下程式碼範例顯示如何使用 `CreateBucket`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` pub async fn create_bucket( client: &aws_sdk_s3::Client, bucket_name: &str, region: &aws_config::Region, ) -> Result, S3ExampleError> { let constraint = aws_sdk_s3::types::BucketLocationConstraint::from(region.to_string().as_str()); let cfg = aws_sdk_s3::types::CreateBucketConfiguration::builder() .location_constraint(constraint) .build(); let create = client .create_bucket() .create_bucket_configuration(cfg) .bucket(bucket_name) .send() .await; // BucketAlreadyExists and BucketAlreadyOwnedByYou are not problems for this task. create.map(Some).or_else(|err| { if err .as_service_error() .map(|se| se.is_bucket_already_exists() || se.is_bucket_already_owned_by_you()) == Some(true) { Ok(None) } else { Err(S3ExampleError::from(err)) } }) } ``` + 如需 API 詳細資訊，請參閱 *《適用於 Rust 的AWS SDK API 參考》*中的 [CreateBucket](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.create_bucket)。 ### `CreateMultipartUpload` 以下程式碼範例顯示如何使用 `CreateMultipartUpload`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` // Create a multipart upload. Use UploadPart and CompleteMultipartUpload to // upload the file. let multipart_upload_res: CreateMultipartUploadOutput = client .create_multipart_upload() .bucket(&bucket_name) .key(&key) .send() .await?; let upload_id = multipart_upload_res.upload_id().ok_or(S3ExampleError::new( "Missing upload_id after CreateMultipartUpload", ))?; ``` ``` let mut upload_parts: Vec = Vec::new(); for chunk_index in 0..chunk_count { let this_chunk = if chunk_count - 1 == chunk_index { size_of_last_chunk } else { CHUNK_SIZE }; let stream = ByteStream::read_from() .path(path) .offset(chunk_index * CHUNK_SIZE) .length(Length::Exact(this_chunk)) .build() .await .unwrap(); // Chunk index needs to start at 0, but part numbers start at 1. let part_number = (chunk_index as i32) + 1; let upload_part_res = client .upload_part() .key(&key) .bucket(&bucket_name) .upload_id(upload_id) .body(stream) .part_number(part_number) .send() .await?; upload_parts.push( CompletedPart::builder() .e_tag(upload_part_res.e_tag.unwrap_or_default()) .part_number(part_number) .build(), ); } ``` ``` // upload_parts: Vec let completed_multipart_upload: CompletedMultipartUpload = CompletedMultipartUpload::builder() .set_parts(Some(upload_parts)) .build(); let _complete_multipart_upload_res = client .complete_multipart_upload() .bucket(&bucket_name) .key(&key) .multipart_upload(completed_multipart_upload) .upload_id(upload_id) .send() .await?; ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [CreateMultipartUpload](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.create_multipart_upload)。 ### `DeleteBucket` 以下程式碼範例顯示如何使用 `DeleteBucket`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` pub async fn delete_bucket( client: &aws_sdk_s3::Client, bucket_name: &str, ) -> Result<(), S3ExampleError> { let resp = client.delete_bucket().bucket(bucket_name).send().await; match resp { Ok(_) => Ok(()), Err(err) => { if err .as_service_error() .and_then(aws_sdk_s3::error::ProvideErrorMetadata::code) == Some("NoSuchBucket") { Ok(()) } else { Err(S3ExampleError::from(err)) } } } } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [DeleteBucket](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.delete_bucket)。 ### `DeleteObject` 以下程式碼範例顯示如何使用 `DeleteObject`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` /// Delete an object from a bucket. pub async fn remove_object( client: &aws_sdk_s3::Client, bucket: &str, key: &str, ) -> Result<(), S3ExampleError> { client .delete_object() .bucket(bucket) .key(key) .send() .await?; // There are no modeled errors to handle when deleting an object. Ok(()) } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [DeleteObject](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.delete_object)。 ### `DeleteObjects` 以下程式碼範例顯示如何使用 `DeleteObjects`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` /// Delete the objects in a bucket. pub async fn delete_objects( client: &aws_sdk_s3::Client, bucket_name: &str, objects_to_delete: Vec, ) -> Result<(), S3ExampleError> { // Push into a mut vector to use `?` early return errors while building object keys. let mut delete_object_ids: Vec = vec![]; for obj in objects_to_delete { let obj_id = aws_sdk_s3::types::ObjectIdentifier::builder() .key(obj) .build() .map_err(|err| { S3ExampleError::new(format!("Failed to build key for delete_object: {err:?}")) })?; delete_object_ids.push(obj_id); } client .delete_objects() .bucket(bucket_name) .delete( aws_sdk_s3::types::Delete::builder() .set_objects(Some(delete_object_ids)) .build() .map_err(|err| { S3ExampleError::new(format!("Failed to build delete_object input {err:?}")) })?, ) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [DeleteObjects](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.delete_objects)。 ### `GetBucketLocation` 以下程式碼範例顯示如何使用 `GetBucketLocation`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` async fn show_buckets( strict: bool, client: &Client, region: BucketLocationConstraint, ) -> Result<(), S3ExampleError> { let mut buckets = client.list_buckets().into_paginator().send(); let mut num_buckets = 0; let mut in_region = 0; while let Some(Ok(output)) = buckets.next().await { for bucket in output.buckets() { num_buckets += 1; if strict { let r = client .get_bucket_location() .bucket(bucket.name().unwrap_or_default()) .send() .await?; if r.location_constraint() == Some(®ion) { println!("{}", bucket.name().unwrap_or_default()); in_region += 1; } } else { println!("{}", bucket.name().unwrap_or_default()); } } } println!(); if strict { println!( "Found {} buckets in the {} region out of a total of {} buckets.", in_region, region, num_buckets ); } else { println!("Found {} buckets in all regions.", num_buckets); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [GetBucketLocation](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.get_bucket_location)。 ### `GetObject` 以下程式碼範例顯示如何使用 `GetObject`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` async fn get_object(client: Client, opt: Opt) -> Result { trace!("bucket: {}", opt.bucket); trace!("object: {}", opt.object); trace!("destination: {}", opt.destination.display()); let mut file = File::create(opt.destination.clone()).map_err(|err| { S3ExampleError::new(format!( "Failed to initialize file for saving S3 download: {err:?}" )) })?; let mut object = client .get_object() .bucket(opt.bucket) .key(opt.object) .send() .await?; let mut byte_count = 0_usize; while let Some(bytes) = object.body.try_next().await.map_err(|err| { S3ExampleError::new(format!("Failed to read from S3 download stream: {err:?}")) })? { let bytes_len = bytes.len(); file.write_all(&bytes).map_err(|err| { S3ExampleError::new(format!( "Failed to write from S3 download stream to local file: {err:?}" )) })?; trace!("Intermediate write of {bytes_len}"); byte_count += bytes_len; } Ok(byte_count) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [GetObject](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.get_object)。 ### `ListBuckets` 以下程式碼範例顯示如何使用 `ListBuckets`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` async fn show_buckets( strict: bool, client: &Client, region: BucketLocationConstraint, ) -> Result<(), S3ExampleError> { let mut buckets = client.list_buckets().into_paginator().send(); let mut num_buckets = 0; let mut in_region = 0; while let Some(Ok(output)) = buckets.next().await { for bucket in output.buckets() { num_buckets += 1; if strict { let r = client .get_bucket_location() .bucket(bucket.name().unwrap_or_default()) .send() .await?; if r.location_constraint() == Some(®ion) { println!("{}", bucket.name().unwrap_or_default()); in_region += 1; } } else { println!("{}", bucket.name().unwrap_or_default()); } } } println!(); if strict { println!( "Found {} buckets in the {} region out of a total of {} buckets.", in_region, region, num_buckets ); } else { println!("Found {} buckets in all regions.", num_buckets); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [ListBuckets](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.list_buckets)。 ### `ListObjectVersions` 以下程式碼範例顯示如何使用 `ListObjectVersions`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` async fn show_versions(client: &Client, bucket: &str) -> Result<(), Error> { let resp = client.list_object_versions().bucket(bucket).send().await?; for version in resp.versions() { println!("{}", version.key().unwrap_or_default()); println!(" version ID: {}", version.version_id().unwrap_or_default()); println!(); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [ListObjectVersions](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.list_object_versions)。 ### `ListObjectsV2` 以下程式碼範例顯示如何使用 `ListObjectsV2`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` pub async fn list_objects(client: &aws_sdk_s3::Client, bucket: &str) -> Result<(), S3ExampleError> { let mut response = client .list_objects_v2() .bucket(bucket.to_owned()) .max_keys(10) // In this example, go 10 at a time. .into_paginator() .send(); while let Some(result) = response.next().await { match result { Ok(output) => { for object in output.contents() { println!(" - {}", object.key().unwrap_or("Unknown")); } } Err(err) => { eprintln!("{err:?}") } } } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《*適用於 Rust 的AWS SDK API 參考*》中的 [ListObjectsV2](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.list_objects_v2)。 ### `PutObject` 以下程式碼範例顯示如何使用 `PutObject`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` pub async fn upload_object( client: &aws_sdk_s3::Client, bucket_name: &str, file_name: &str, key: &str, ) -> Result { let body = aws_sdk_s3::primitives::ByteStream::from_path(std::path::Path::new(file_name)).await; client .put_object() .bucket(bucket_name) .key(key) .body(body.unwrap()) .send() .await .map_err(S3ExampleError::from) } ``` + 如需 API 詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的 [PutObject](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.put_object)。 ### `UploadPart` 以下程式碼範例顯示如何使用 `UploadPart`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` let mut upload_parts: Vec = Vec::new(); for chunk_index in 0..chunk_count { let this_chunk = if chunk_count - 1 == chunk_index { size_of_last_chunk } else { CHUNK_SIZE }; let stream = ByteStream::read_from() .path(path) .offset(chunk_index * CHUNK_SIZE) .length(Length::Exact(this_chunk)) .build() .await .unwrap(); // Chunk index needs to start at 0, but part numbers start at 1. let part_number = (chunk_index as i32) + 1; let upload_part_res = client .upload_part() .key(&key) .bucket(&bucket_name) .upload_id(upload_id) .body(stream) .part_number(part_number) .send() .await?; upload_parts.push( CompletedPart::builder() .e_tag(upload_part_res.e_tag.unwrap_or_default()) .part_number(part_number) .build(), ); } ``` ``` // Create a multipart upload. Use UploadPart and CompleteMultipartUpload to // upload the file. let multipart_upload_res: CreateMultipartUploadOutput = client .create_multipart_upload() .bucket(&bucket_name) .key(&key) .send() .await?; let upload_id = multipart_upload_res.upload_id().ok_or(S3ExampleError::new( "Missing upload_id after CreateMultipartUpload", ))?; ``` ``` // upload_parts: Vec let completed_multipart_upload: CompletedMultipartUpload = CompletedMultipartUpload::builder() .set_parts(Some(upload_parts)) .build(); let _complete_multipart_upload_res = client .complete_multipart_upload() .bucket(&bucket_name) .key(&key) .multipart_upload(completed_multipart_upload) .upload_id(upload_id) .send() .await?; ``` + 如需 API 的詳細資訊，請參閱*《適用於 Rust 的AWS SDK API 參考》*中的[UploadPart](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.upload_part)。 ## 案例 ### 將文字轉換為語音然後返回文字 以下程式碼範例顯示做法： + 使用 Amazon Polly 將純文字 (UTF-8) 輸入檔案合成至音訊檔案中。 + 將音訊檔案上傳至 Amazon S3 儲存貯體。 + 使用 Amazon Transcribe 將音訊檔案轉換為文字。 + 顯示文字。 **適用於 Rust 的 SDK** 使用 Amazon Polly 將純文字 (UTF-8) 輸入檔案合成至音訊檔案中，將音訊檔案上傳至 Amazon S3 儲存貯體，使用 Amazon Transcribe 將該音訊檔案轉換為文字，然後顯示文字。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/rustv1/cross_service#code-examples) 上的完整範例。 **此範例中使用的服務** + Amazon Polly + Amazon S3 + Amazon Transcribe ### 建立預先簽章 URL 下列程式碼範例示範如何建立適用於 Amazon S3 預先簽署的 URL，並上傳物件。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 建立對 GET S3 物件的預先簽署請求。 ``` /// Generate a URL for a presigned GET request. async fn get_object( client: &Client, bucket: &str, object: &str, expires_in: u64, ) -> Result<(), Box> { let expires_in = Duration::from_secs(expires_in); let presigned_request = client .get_object() .bucket(bucket) .key(object) .presigned(PresigningConfig::expires_in(expires_in)?) .await?; println!("Object URI: {}", presigned_request.uri()); let valid_until = chrono::offset::Local::now() + expires_in; println!("Valid until: {valid_until}"); Ok(()) } ``` 建立對 PUT S3 物件的預先簽署請求。 ``` async fn put_object( client: &Client, bucket: &str, object: &str, expires_in: u64, ) -> Result { let expires_in: std::time::Duration = std::time::Duration::from_secs(expires_in); let expires_in: aws_sdk_s3::presigning::PresigningConfig = PresigningConfig::expires_in(expires_in).map_err(|err| { S3ExampleError::new(format!( "Failed to convert expiration to PresigningConfig: {err:?}" )) })?; let presigned_request = client .put_object() .bucket(bucket) .key(object) .presigned(expires_in) .await?; Ok(presigned_request.uri().into()) } ``` ### 建立無伺服器應用程式來管理相片 下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。 **適用於 Rust 的 SDK** 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/cross_service/photo_asset_management) 上的完整範例。 如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。 **此範例中使用的服務** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ### 偵測映像中的人臉 以下程式碼範例顯示做法： + 在 Amazon S3 儲存貯體儲存映像。 + 使用 Amazon Rekognition 偵測面部細節，例如年齡範圍、性別和情感 (例如微笑)。 + 顯示這些詳細資訊。 **適用於 Rust 的 SDK** 將映像儲存在 Amazon S3 儲存貯體中，並包含**上傳**字首，使用 Amazon Rekognition 偵測面部細節，例如年齡範圍、性別和情感 (微笑等)，並顯示這些詳細資訊。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/rustv1/cross_service/detect_faces/src/main.rs) 上的完整範例。 **此範例中使用的服務** + Amazon Rekognition + Amazon S3 ### 從儲存貯體中取得物件 (如果其已修改的話) 下列程式碼範例示範如何從 S3 儲存貯體中物件讀取資料，但僅在自上次擷取時後該儲存貯體尚未修改時才能進行此讀取。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` use aws_sdk_s3::{ error::SdkError, primitives::{ByteStream, DateTime, DateTimeFormat}, Client, }; use s3_code_examples::error::S3ExampleError; use tracing::{error, warn}; const KEY: &str = "key"; const BODY: &str = "Hello, world!"; /// Demonstrate how `if-modified-since` reports that matching objects haven't /// changed. /// /// # Steps /// - Create a bucket. /// - Put an object in the bucket. /// - Get the bucket headers. /// - Get the bucket headers again but only if modified. /// - Delete the bucket. #[tokio::main] async fn main() -> Result<(), S3ExampleError> { tracing_subscriber::fmt::init(); // Get a new UUID to use when creating a unique bucket name. let uuid = uuid::Uuid::new_v4(); // Load the AWS configuration from the environment. let client = Client::new(&aws_config::load_from_env().await); // Generate a unique bucket name using the previously generated UUID. // Then create a new bucket with that name. let bucket_name = format!("if-modified-since-{uuid}"); client .create_bucket() .bucket(bucket_name.clone()) .send() .await?; // Create a new object in the bucket whose name is `KEY` and whose // contents are `BODY`. let put_object_output = client .put_object() .bucket(bucket_name.as_str()) .key(KEY) .body(ByteStream::from_static(BODY.as_bytes())) .send() .await; // If the `PutObject` succeeded, get the eTag string from it. Otherwise, // report an error and return an empty string. let e_tag_1 = match put_object_output { Ok(put_object) => put_object.e_tag.unwrap(), Err(err) => { error!("{err:?}"); String::new() } }; // Request the object's headers. let head_object_output = client .head_object() .bucket(bucket_name.as_str()) .key(KEY) .send() .await; // If the `HeadObject` request succeeded, create a tuple containing the // values of the headers `last-modified` and `etag`. If the request // failed, return the error in a tuple instead. let (last_modified, e_tag_2) = match head_object_output { Ok(head_object) => ( Ok(head_object.last_modified().cloned().unwrap()), head_object.e_tag.unwrap(), ), Err(err) => (Err(err), String::new()), }; warn!("last modified: {last_modified:?}"); assert_eq!( e_tag_1, e_tag_2, "PutObject and first GetObject had differing eTags" ); println!("First value of last_modified: {last_modified:?}"); println!("First tag: {}\n", e_tag_1); // Send a second `HeadObject` request. This time, the `if_modified_since` // option is specified, giving the `last_modified` value returned by the // first call to `HeadObject`. // // Since the object hasn't been changed, and there are no other objects in // the bucket, there should be no matching objects. let head_object_output = client .head_object() .bucket(bucket_name.as_str()) .key(KEY) .if_modified_since(last_modified.unwrap()) .send() .await; // If the `HeadObject` request succeeded, the result is a typle containing // the `last_modified` and `e_tag_1` properties. This is _not_ the expected // result. // // The _expected_ result of the second call to `HeadObject` is an // `SdkError::ServiceError` containing the HTTP error response. If that's // the case and the HTTP status is 304 (not modified), the output is a // tuple containing the values of the HTTP `last-modified` and `etag` // headers. // // If any other HTTP error occurred, the error is returned as an // `SdkError::ServiceError`. let (last_modified, e_tag_2) = match head_object_output { Ok(head_object) => ( Ok(head_object.last_modified().cloned().unwrap()), head_object.e_tag.unwrap(), ), Err(err) => match err { SdkError::ServiceError(err) => { // Get the raw HTTP response. If its status is 304, the // object has not changed. This is the expected code path. let http = err.raw(); match http.status().as_u16() { // If the HTTP status is 304: Not Modified, return a // tuple containing the values of the HTTP // `last-modified` and `etag` headers. 304 => ( Ok(DateTime::from_str( http.headers().get("last-modified").unwrap(), DateTimeFormat::HttpDate, ) .unwrap()), http.headers().get("etag").map(|t| t.into()).unwrap(), ), // Any other HTTP status code is returned as an // `SdkError::ServiceError`. _ => (Err(SdkError::ServiceError(err)), String::new()), } } // Any other kind of error is returned in a tuple containing the // error and an empty string. _ => (Err(err), String::new()), }, }; warn!("last modified: {last_modified:?}"); assert_eq!( e_tag_1, e_tag_2, "PutObject and second HeadObject had different eTags" ); println!("Second value of last modified: {last_modified:?}"); println!("Second tag: {}", e_tag_2); // Clean up by deleting the object and the bucket. client .delete_object() .bucket(bucket_name.as_str()) .key(KEY) .send() .await?; client .delete_bucket() .bucket(bucket_name.as_str()) .send() .await?; Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [GetObject](https://docs.rs/aws-sdk-s3/latest/aws_sdk_s3/client/struct.Client.html#method.get_object)。 ### 儲存 EXIF 和其他映像資訊 以下程式碼範例顯示做法： + 從 JPG、JPEG 或 PNG 檔案中取得 EXIF 資訊。 + 將映像檔案上傳至 Amazon S3 儲存貯體。 + 使用 Amazon Rekognition 識別檔案中的三個主要屬性 (標籤)。 + 將 EXIF 和標籤資訊新增至區域中的 Amazon DynamoDB 資料表。 **適用於 Rust 的 SDK** 從 JPG、JPEG 或 PNG 檔案獲取 EXIF 資訊，將映像檔案上傳至 Amazon S3 儲存貯體，使用 Amazon Rekognition 識別三個主要屬性 (Amazon Rekognition 中的*標籤*)，然後將 EXIF 和標籤資訊新增至區域中的 Amazon DynamoDB 資料表中。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/rustv1/cross_service/detect_labels/src/main.rs) 上的完整範例。 **此範例中使用的服務** + DynamoDB + Amazon Rekognition + Amazon S3 ### 使用 SDK 進行單元和整合測試 下列程式碼範例示範如何在使用 AWS SDK 撰寫單元和整合測試時，提供最佳實務技術的範例。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/testing#code-examples)中設定和執行。 Cargo.toml 用於測試範例。 ``` [package] name = "testing-examples" version = "0.1.0" authors = [ "John Disanti ", "Doug Schwartz ", ] edition = "2021" [dependencies] async-trait = "0.1.51" aws-config = { version = "1.0.1", features = ["behavior-version-latest"] } aws-credential-types = { version = "1.0.1", features = [ "hardcoded-credentials", ] } aws-sdk-s3 = { version = "1.4.0" } aws-smithy-types = { version = "1.0.1" } aws-smithy-runtime = { version = "1.0.1", features = ["test-util"] } aws-smithy-runtime-api = { version = "1.0.1", features = ["test-util"] } aws-types = { version = "1.0.1" } clap = { version = "4.4", features = ["derive"] } http = "0.2.9" mockall = "0.11.4" serde_json = "1" tokio = { version = "1.20.1", features = ["full"] } tracing-subscriber = { version = "0.3.15", features = ["env-filter"] } [[bin]] name = "main" path = "src/main.rs" ``` 使用自動模擬和服務包裝函式的單元測試範例。 ``` use aws_sdk_s3 as s3; #[allow(unused_imports)] use mockall::automock; use s3::operation::list_objects_v2::{ListObjectsV2Error, ListObjectsV2Output}; #[cfg(test)] pub use MockS3Impl as S3; #[cfg(not(test))] pub use S3Impl as S3; #[allow(dead_code)] pub struct S3Impl { inner: s3::Client, } #[cfg_attr(test, automock)] impl S3Impl { #[allow(dead_code)] pub fn new(inner: s3::Client) -> Self { Self { inner } } #[allow(dead_code)] pub async fn list_objects( &self, bucket: &str, prefix: &str, continuation_token: Option, ) -> Result> { self.inner .list_objects_v2() .bucket(bucket) .prefix(prefix) .set_continuation_token(continuation_token) .send() .await } } #[allow(dead_code)] pub async fn determine_prefix_file_size( // Now we take a reference to our trait object instead of the S3 client // s3_list: ListObjectsService, s3_list: S3, bucket: &str, prefix: &str, ) -> Result { let mut next_token: Option = None; let mut total_size_bytes = 0; loop { let result = s3_list .list_objects(bucket, prefix, next_token.take()) .await?; // Add up the file sizes we got back for object in result.contents() { total_size_bytes += object.size().unwrap_or(0) as usize; } // Handle pagination, and break the loop if there are no more pages next_token = result.next_continuation_token.clone(); if next_token.is_none() { break; } } Ok(total_size_bytes) } #[cfg(test)] mod test { use super::*; use mockall::predicate::eq; #[tokio::test] async fn test_single_page() { let mut mock = MockS3Impl::default(); mock.expect_list_objects() .with(eq("test-bucket"), eq("test-prefix"), eq(None)) .return_once(|_, _, _| { Ok(ListObjectsV2Output::builder() .set_contents(Some(vec![ // Mock content for ListObjectsV2 response s3::types::Object::builder().size(5).build(), s3::types::Object::builder().size(2).build(), ])) .build()) }); // Run the code we want to test with it let size = determine_prefix_file_size(mock, "test-bucket", "test-prefix") .await .unwrap(); // Verify we got the correct total size back assert_eq!(7, size); } #[tokio::test] async fn test_multiple_pages() { // Create the Mock instance with two pages of objects now let mut mock = MockS3Impl::default(); mock.expect_list_objects() .with(eq("test-bucket"), eq("test-prefix"), eq(None)) .return_once(|_, _, _| { Ok(ListObjectsV2Output::builder() .set_contents(Some(vec![ // Mock content for ListObjectsV2 response s3::types::Object::builder().size(5).build(), s3::types::Object::builder().size(2).build(), ])) .set_next_continuation_token(Some("next".to_string())) .build()) }); mock.expect_list_objects() .with( eq("test-bucket"), eq("test-prefix"), eq(Some("next".to_string())), ) .return_once(|_, _, _| { Ok(ListObjectsV2Output::builder() .set_contents(Some(vec![ // Mock content for ListObjectsV2 response s3::types::Object::builder().size(3).build(), s3::types::Object::builder().size(9).build(), ])) .build()) }); // Run the code we want to test with it let size = determine_prefix_file_size(mock, "test-bucket", "test-prefix") .await .unwrap(); assert_eq!(19, size); } } ``` 使用 StaticReplayClient 的整合測試範例。 ``` use aws_sdk_s3 as s3; #[allow(dead_code)] pub async fn determine_prefix_file_size( // Now we take a reference to our trait object instead of the S3 client // s3_list: ListObjectsService, s3: s3::Client, bucket: &str, prefix: &str, ) -> Result { let mut next_token: Option = None; let mut total_size_bytes = 0; loop { let result = s3 .list_objects_v2() .prefix(prefix) .bucket(bucket) .set_continuation_token(next_token.take()) .send() .await?; // Add up the file sizes we got back for object in result.contents() { total_size_bytes += object.size().unwrap_or(0) as usize; } // Handle pagination, and break the loop if there are no more pages next_token = result.next_continuation_token.clone(); if next_token.is_none() { break; } } Ok(total_size_bytes) } #[allow(dead_code)] fn make_s3_test_credentials() -> s3::config::Credentials { s3::config::Credentials::new( "ATESTCLIENT", "astestsecretkey", Some("atestsessiontoken".to_string()), None, "", ) } #[cfg(test)] mod test { use super::*; use aws_config::BehaviorVersion; use aws_sdk_s3 as s3; use aws_smithy_runtime::client::http::test_util::{ReplayEvent, StaticReplayClient}; use aws_smithy_types::body::SdkBody; #[tokio::test] async fn test_single_page() { let page_1 = ReplayEvent::new( http::Request::builder() .method("GET") .uri("https://test-bucket.s3.us-east-1.amazonaws.com/?list-type=2&prefix=test-prefix") .body(SdkBody::empty()) .unwrap(), http::Response::builder() .status(200) .body(SdkBody::from(include_str!("./testing/response_1.xml"))) .unwrap(), ); let replay_client = StaticReplayClient::new(vec![page_1]); let client: s3::Client = s3::Client::from_conf( s3::Config::builder() .behavior_version(BehaviorVersion::latest()) .credentials_provider(make_s3_test_credentials()) .region(s3::config::Region::new("us-east-1")) .http_client(replay_client.clone()) .build(), ); // Run the code we want to test with it let size = determine_prefix_file_size(client, "test-bucket", "test-prefix") .await .unwrap(); // Verify we got the correct total size back assert_eq!(7, size); replay_client.assert_requests_match(&[]); } #[tokio::test] async fn test_multiple_pages() { let page_1 = ReplayEvent::new( http::Request::builder() .method("GET") .uri("https://test-bucket.s3.us-east-1.amazonaws.com/?list-type=2&prefix=test-prefix") .body(SdkBody::empty()) .unwrap(), http::Response::builder() .status(200) .body(SdkBody::from(include_str!("./testing/response_multi_1.xml"))) .unwrap(), ); let page_2 = ReplayEvent::new( http::Request::builder() .method("GET") .uri("https://test-bucket.s3.us-east-1.amazonaws.com/?list-type=2&prefix=test-prefix&continuation-token=next") .body(SdkBody::empty()) .unwrap(), http::Response::builder() .status(200) .body(SdkBody::from(include_str!("./testing/response_multi_2.xml"))) .unwrap(), ); let replay_client = StaticReplayClient::new(vec![page_1, page_2]); let client: s3::Client = s3::Client::from_conf( s3::Config::builder() .behavior_version(BehaviorVersion::latest()) .credentials_provider(make_s3_test_credentials()) .region(s3::config::Region::new("us-east-1")) .http_client(replay_client.clone()) .build(), ); // Run the code we want to test with it let size = determine_prefix_file_size(client, "test-bucket", "test-prefix") .await .unwrap(); assert_eq!(19, size); replay_client.assert_requests_match(&[]); } } ``` ### 上傳或下載大型檔案 下列程式碼範例示範如何將大型檔案上傳至 Amazon S3，以及從中下載大型檔案。 如需詳細資訊，請參閱[使用分段上傳以上傳物件](https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpu-upload-object.html)。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/s3#code-examples)中設定和執行。 ``` use std::fs::File; use std::io::prelude::*; use std::path::Path; use aws_config::meta::region::RegionProviderChain; use aws_sdk_s3::error::DisplayErrorContext; use aws_sdk_s3::operation::{ create_multipart_upload::CreateMultipartUploadOutput, get_object::GetObjectOutput, }; use aws_sdk_s3::types::{CompletedMultipartUpload, CompletedPart}; use aws_sdk_s3::{config::Region, Client as S3Client}; use aws_smithy_types::byte_stream::{ByteStream, Length}; use rand::distributions::Alphanumeric; use rand::{thread_rng, Rng}; use s3_code_examples::error::S3ExampleError; use std::process; use uuid::Uuid; //In bytes, minimum chunk size of 5MB. Increase CHUNK_SIZE to send larger chunks. const CHUNK_SIZE: u64 = 1024 * 1024 * 5; const MAX_CHUNKS: u64 = 10000; #[tokio::main] pub async fn main() { if let Err(err) = run_example().await { eprintln!("Error: {}", DisplayErrorContext(err)); process::exit(1); } } async fn run_example() -> Result<(), S3ExampleError> { let shared_config = aws_config::load_from_env().await; let client = S3Client::new(&shared_config); let bucket_name = format!("amzn-s3-demo-bucket-{}", Uuid::new_v4()); let region_provider = RegionProviderChain::first_try(Region::new("us-west-2")); let region = region_provider.region().await.unwrap(); s3_code_examples::create_bucket(&client, &bucket_name, ®ion).await?; let key = "sample.txt".to_string(); // Create a multipart upload. Use UploadPart and CompleteMultipartUpload to // upload the file. let multipart_upload_res: CreateMultipartUploadOutput = client .create_multipart_upload() .bucket(&bucket_name) .key(&key) .send() .await?; let upload_id = multipart_upload_res.upload_id().ok_or(S3ExampleError::new( "Missing upload_id after CreateMultipartUpload", ))?; //Create a file of random characters for the upload. let mut file = File::create(&key).expect("Could not create sample file."); // Loop until the file is 5 chunks. while file.metadata().unwrap().len() <= CHUNK_SIZE * 4 { let rand_string: String = thread_rng() .sample_iter(&Alphanumeric) .take(256) .map(char::from) .collect(); let return_string: String = "\n".to_string(); file.write_all(rand_string.as_ref()) .expect("Error writing to file."); file.write_all(return_string.as_ref()) .expect("Error writing to file."); } let path = Path::new(&key); let file_size = tokio::fs::metadata(path) .await .expect("it exists I swear") .len(); let mut chunk_count = (file_size / CHUNK_SIZE) + 1; let mut size_of_last_chunk = file_size % CHUNK_SIZE; if size_of_last_chunk == 0 { size_of_last_chunk = CHUNK_SIZE; chunk_count -= 1; } if file_size == 0 { return Err(S3ExampleError::new("Bad file size.")); } if chunk_count > MAX_CHUNKS { return Err(S3ExampleError::new( "Too many chunks! Try increasing your chunk size.", )); } let mut upload_parts: Vec = Vec::new(); for chunk_index in 0..chunk_count { let this_chunk = if chunk_count - 1 == chunk_index { size_of_last_chunk } else { CHUNK_SIZE }; let stream = ByteStream::read_from() .path(path) .offset(chunk_index * CHUNK_SIZE) .length(Length::Exact(this_chunk)) .build() .await .unwrap(); // Chunk index needs to start at 0, but part numbers start at 1. let part_number = (chunk_index as i32) + 1; let upload_part_res = client .upload_part() .key(&key) .bucket(&bucket_name) .upload_id(upload_id) .body(stream) .part_number(part_number) .send() .await?; upload_parts.push( CompletedPart::builder() .e_tag(upload_part_res.e_tag.unwrap_or_default()) .part_number(part_number) .build(), ); } // upload_parts: Vec let completed_multipart_upload: CompletedMultipartUpload = CompletedMultipartUpload::builder() .set_parts(Some(upload_parts)) .build(); let _complete_multipart_upload_res = client .complete_multipart_upload() .bucket(&bucket_name) .key(&key) .multipart_upload(completed_multipart_upload) .upload_id(upload_id) .send() .await?; let data: GetObjectOutput = s3_code_examples::download_object(&client, &bucket_name, &key).await?; let data_length: u64 = data .content_length() .unwrap_or_default() .try_into() .unwrap(); if file.metadata().unwrap().len() == data_length { println!("Data lengths match."); } else { println!("The data was not the same size!"); } s3_code_examples::clear_bucket(&client, &bucket_name) .await .expect("Error emptying bucket."); s3_code_examples::delete_bucket(&client, &bucket_name) .await .expect("Error deleting bucket."); Ok(()) } ``` ## 無伺服器範例 ### 使用 Amazon S3 觸發條件調用 Lambda 函數 下列程式碼範例示範如何實作 Lambda 函式，該函式接收透過上傳物件至 S3 儲存貯體時所觸發的事件。此函數會從事件參數擷取 S3 儲存貯體名稱和物件金鑰，並呼叫 Amazon S3 API 以擷取和記錄物件的內容類型。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-s3-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 S3 事件。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::event::s3::S3Event; use aws_sdk_s3::{Client}; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; /// Main function #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) .with_target(false) .without_time() .init(); // Initialize the AWS SDK for Rust let config = aws_config::load_from_env().await; let s3_client = Client::new(&config); let res = run(service_fn(|request: LambdaEvent| { function_handler(&s3_client, request) })).await; res } async fn function_handler( s3_client: &Client, evt: LambdaEvent ) -> Result<(), Error> { tracing::info!(records = ?evt.payload.records.len(), "Received request from SQS"); if evt.payload.records.len() == 0 { tracing::info!("Empty S3 event received"); } let bucket = evt.payload.records[0].s3.bucket.name.as_ref().expect("Bucket name to exist"); let key = evt.payload.records[0].s3.object.key.as_ref().expect("Object key to exist"); tracing::info!("Request is for {} and object {}", bucket, key); let s3_get_object_result = s3_client .get_object() .bucket(bucket) .key(key) .send() .await; match s3_get_object_result { Ok(_) => tracing::info!("S3 Get Object success, the s3GetObjectResult contains a 'body' property of type ByteStream"), Err(_) => tracing::info!("Failure with S3 Get Object request") } Ok(()) } ``` # 使用 SDK for Rust 的 SageMaker AI 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 SageMaker AI 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `ListNotebookInstances` 以下程式碼範例顯示如何使用 `ListNotebookInstances`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sagemaker#code-examples)中設定和執行。 ``` async fn show_instances(client: &Client) -> Result<(), Error> { let notebooks = client.list_notebook_instances().send().await?; println!("Notebooks:"); for n in notebooks.notebook_instances() { let n_instance_type = n.instance_type().unwrap(); let n_status = n.notebook_instance_status().unwrap(); let n_name = n.notebook_instance_name(); println!(" Name : {}", n_name.unwrap_or("Unknown")); println!(" Status : {}", n_status.as_ref()); println!(" Instance Type : {}", n_instance_type.as_ref()); println!(); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListNotebookInstances](https://docs.rs/aws-sdk-sagemaker/latest/aws_sdk_sagemaker/client/struct.Client.html#method.list_notebook_instances)。 ### `ListTrainingJobs` 以下程式碼範例顯示如何使用 `ListTrainingJobs`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sagemaker#code-examples)中設定和執行。 ``` async fn show_jobs(client: &Client) -> Result<(), Error> { let job_details = client.list_training_jobs().send().await?; println!("Jobs:"); for j in job_details.training_job_summaries() { let name = j.training_job_name().unwrap_or("Unknown"); let creation_time = j.creation_time().expect("creation time").to_chrono_utc()?; let training_end_time = j .training_end_time() .expect("Training end time") .to_chrono_utc()?; let status = j.training_job_status().expect("training status"); let duration = training_end_time - creation_time; println!(" Name: {}", name); println!( " Creation date/time: {}", creation_time.format("%Y-%m-%d@%H:%M:%S") ); println!(" Duration (seconds): {}", duration.num_seconds()); println!(" Status: {:?}", status); println!(); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListTrainingJobs](https://docs.rs/aws-sdk-sagemaker/latest/aws_sdk_sagemaker/client/struct.Client.html#method.list_training_jobs)。 # 使用 SDK for Rust 的 Secrets Manager 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Secrets Manager 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `GetSecretValue` 以下程式碼範例顯示如何使用 `GetSecretValue`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/secretsmanager#code-examples)中設定和執行。 ``` async fn show_secret(client: &Client, name: &str) -> Result<(), Error> { let resp = client.get_secret_value().secret_id(name).send().await?; println!("Value: {}", resp.secret_string().unwrap_or("No value!")); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [GetSecretValue](https://docs.rs/aws-sdk-secretsmanager/latest/aws_sdk_secretsmanager/client/struct.Client.html#method.get_secret_value)。 # 使用 SDK for Rust 的 Amazon SES API v2 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon SES API v2 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) + [案例](#scenarios) ## 動作 ### `CreateContact` 以下程式碼範例顯示如何使用 `CreateContact`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` async fn add_contact(client: &Client, list: &str, email: &str) -> Result<(), Error> { client .create_contact() .contact_list_name(list) .email_address(email) .send() .await?; println!("Created contact"); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [CreateContact](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.create_contact)。 ### `CreateContactList` 以下程式碼範例顯示如何使用 `CreateContactList`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` async fn make_list(client: &Client, contact_list: &str) -> Result<(), Error> { client .create_contact_list() .contact_list_name(contact_list) .send() .await?; println!("Created contact list."); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [CreateContactList](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.create_contact_list)。 ### `CreateEmailIdentity` 以下程式碼範例顯示如何使用 `CreateEmailIdentity`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` match self .client .create_email_identity() .email_identity(self.verified_email.clone()) .send() .await { Ok(_) => writeln!(self.stdout, "Email identity created successfully.")?, Err(e) => match e.into_service_error() { CreateEmailIdentityError::AlreadyExistsException(_) => { writeln!( self.stdout, "Email identity already exists, skipping creation." )?; } e => return Err(anyhow!("Error creating email identity: {}", e)), }, } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateEmailIdentity](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.create_email_identity)。 ### `CreateEmailTemplate` 以下程式碼範例顯示如何使用 `CreateEmailTemplate`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` let template_html = std::fs::read_to_string("../resources/newsletter/coupon-newsletter.html") .unwrap_or_else(|_| "Missing coupon-newsletter.html".to_string()); let template_text = std::fs::read_to_string("../resources/newsletter/coupon-newsletter.txt") .unwrap_or_else(|_| "Missing coupon-newsletter.txt".to_string()); // Create the email template let template_content = EmailTemplateContent::builder() .subject("Weekly Coupons Newsletter") .html(template_html) .text(template_text) .build(); match self .client .create_email_template() .template_name(TEMPLATE_NAME) .template_content(template_content) .send() .await { Ok(_) => writeln!(self.stdout, "Email template created successfully.")?, Err(e) => match e.into_service_error() { CreateEmailTemplateError::AlreadyExistsException(_) => { writeln!( self.stdout, "Email template already exists, skipping creation." )?; } e => return Err(anyhow!("Error creating email template: {}", e)), }, } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [CreateEmailTemplate](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.create_email_template)。 ### `DeleteContactList` 以下程式碼範例顯示如何使用 `DeleteContactList`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` match self .client .delete_contact_list() .contact_list_name(CONTACT_LIST_NAME) .send() .await { Ok(_) => writeln!(self.stdout, "Contact list deleted successfully.")?, Err(e) => return Err(anyhow!("Error deleting contact list: {e}")), } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DeleteContactList](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.delete_contact_list)。 ### `DeleteEmailIdentity` 以下程式碼範例顯示如何使用 `DeleteEmailIdentity`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` match self .client .delete_email_identity() .email_identity(self.verified_email.clone()) .send() .await { Ok(_) => writeln!(self.stdout, "Email identity deleted successfully.")?, Err(e) => { return Err(anyhow!("Error deleting email identity: {}", e)); } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DeleteEmailIdentity](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.delete_email_identity)。 ### `DeleteEmailTemplate` 以下程式碼範例顯示如何使用 `DeleteEmailTemplate`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` match self .client .delete_email_template() .template_name(TEMPLATE_NAME) .send() .await { Ok(_) => writeln!(self.stdout, "Email template deleted successfully.")?, Err(e) => { return Err(anyhow!("Error deleting email template: {e}")); } } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [DeleteEmailTemplate](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.delete_email_template)。 ### `GetEmailIdentity` 以下程式碼範例顯示如何使用 `GetEmailIdentity`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 確定是否已驗證電子郵件地址。 ``` async fn is_verified(client: &Client, email: &str) -> Result<(), Error> { let resp = client .get_email_identity() .email_identity(email) .send() .await?; if resp.verified_for_sending_status() { println!("The address is verified"); } else { println!("The address is not verified"); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [GetTopicAttributes](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.get_email_identity)。 ### `ListContactLists` 以下程式碼範例顯示如何使用 `ListContactLists`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` async fn show_lists(client: &Client) -> Result<(), Error> { let resp = client.list_contact_lists().send().await?; println!("Contact lists:"); for list in resp.contact_lists() { println!(" {}", list.contact_list_name().unwrap_or_default()); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [ListContactLists](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.list_contact_lists)。 ### `ListContacts` 以下程式碼範例顯示如何使用 `ListContacts`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` async fn show_contacts(client: &Client, list: &str) -> Result<(), Error> { let resp = client .list_contacts() .contact_list_name(list) .send() .await?; println!("Contacts:"); for contact in resp.contacts() { println!(" {}", contact.email_address().unwrap_or_default()); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [ListContacts](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.list_contacts)。 ### `SendEmail` 以下程式碼範例顯示如何使用 `SendEmail`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 向聯絡人列表中的所有成員傳送消息。 ``` async fn send_message( client: &Client, list: &str, from: &str, subject: &str, message: &str, ) -> Result<(), Error> { // Get list of email addresses from contact list. let resp = client .list_contacts() .contact_list_name(list) .send() .await?; let contacts = resp.contacts(); let cs: Vec = contacts .iter() .map(|i| i.email_address().unwrap_or_default().to_string()) .collect(); let mut dest: Destination = Destination::builder().build(); dest.to_addresses = Some(cs); let subject_content = Content::builder() .data(subject) .charset("UTF-8") .build() .expect("building Content"); let body_content = Content::builder() .data(message) .charset("UTF-8") .build() .expect("building Content"); let body = Body::builder().text(body_content).build(); let msg = Message::builder() .subject(subject_content) .body(body) .build(); let email_content = EmailContent::builder().simple(msg).build(); client .send_email() .from_email_address(from) .destination(dest) .content(email_content) .send() .await?; println!("Email sent to list"); Ok(()) } ``` 使用範本來傳送訊息給聯絡人清單中的所有人員。 ``` let coupons = std::fs::read_to_string("../resources/newsletter/sample_coupons.json") .unwrap_or_else(|_| r#"{"coupons":[]}"#.to_string()); let email_content = EmailContent::builder() .template( Template::builder() .template_name(TEMPLATE_NAME) .template_data(coupons) .build(), ) .build(); match self .client .send_email() .from_email_address(self.verified_email.clone()) .destination(Destination::builder().to_addresses(email.clone()).build()) .content(email_content) .list_management_options( ListManagementOptions::builder() .contact_list_name(CONTACT_LIST_NAME) .build()?, ) .send() .await { Ok(output) => { if let Some(message_id) = output.message_id { writeln!( self.stdout, "Newsletter sent to {} with message ID {}", email, message_id )?; } else { writeln!(self.stdout, "Newsletter sent to {}", email)?; } } Err(e) => return Err(anyhow!("Error sending newsletter to {}: {}", email, e)), } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [SendEmail](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.send_email)。 ## 案例 ### 電子報案例 下列程式碼範例示範如何執行 Amazon SES API v2 電子報案例。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ses#code-examples)中設定和執行。 ``` match self .client .create_contact_list() .contact_list_name(CONTACT_LIST_NAME) .send() .await { Ok(_) => writeln!(self.stdout, "Contact list created successfully.")?, Err(e) => match e.into_service_error() { CreateContactListError::AlreadyExistsException(_) => { writeln!( self.stdout, "Contact list already exists, skipping creation." )?; } e => return Err(anyhow!("Error creating contact list: {}", e)), }, } match self .client .create_contact() .contact_list_name(CONTACT_LIST_NAME) .email_address(email.clone()) .send() .await { Ok(_) => writeln!(self.stdout, "Contact created for {}", email)?, Err(e) => match e.into_service_error() { CreateContactError::AlreadyExistsException(_) => writeln!( self.stdout, "Contact already exists for {}, skipping creation.", email )?, e => return Err(anyhow!("Error creating contact for {}: {}", email, e)), }, } let contacts: Vec = match self .client .list_contacts() .contact_list_name(CONTACT_LIST_NAME) .send() .await { Ok(list_contacts_output) => { list_contacts_output.contacts.unwrap().into_iter().collect() } Err(e) => { return Err(anyhow!( "Error retrieving contact list {}: {}", CONTACT_LIST_NAME, e )) } }; let coupons = std::fs::read_to_string("../resources/newsletter/sample_coupons.json") .unwrap_or_else(|_| r#"{"coupons":[]}"#.to_string()); let email_content = EmailContent::builder() .template( Template::builder() .template_name(TEMPLATE_NAME) .template_data(coupons) .build(), ) .build(); match self .client .send_email() .from_email_address(self.verified_email.clone()) .destination(Destination::builder().to_addresses(email.clone()).build()) .content(email_content) .list_management_options( ListManagementOptions::builder() .contact_list_name(CONTACT_LIST_NAME) .build()?, ) .send() .await { Ok(output) => { if let Some(message_id) = output.message_id { writeln!( self.stdout, "Newsletter sent to {} with message ID {}", email, message_id )?; } else { writeln!(self.stdout, "Newsletter sent to {}", email)?; } } Err(e) => return Err(anyhow!("Error sending newsletter to {}: {}", email, e)), } match self .client .create_email_identity() .email_identity(self.verified_email.clone()) .send() .await { Ok(_) => writeln!(self.stdout, "Email identity created successfully.")?, Err(e) => match e.into_service_error() { CreateEmailIdentityError::AlreadyExistsException(_) => { writeln!( self.stdout, "Email identity already exists, skipping creation." )?; } e => return Err(anyhow!("Error creating email identity: {}", e)), }, } let template_html = std::fs::read_to_string("../resources/newsletter/coupon-newsletter.html") .unwrap_or_else(|_| "Missing coupon-newsletter.html".to_string()); let template_text = std::fs::read_to_string("../resources/newsletter/coupon-newsletter.txt") .unwrap_or_else(|_| "Missing coupon-newsletter.txt".to_string()); // Create the email template let template_content = EmailTemplateContent::builder() .subject("Weekly Coupons Newsletter") .html(template_html) .text(template_text) .build(); match self .client .create_email_template() .template_name(TEMPLATE_NAME) .template_content(template_content) .send() .await { Ok(_) => writeln!(self.stdout, "Email template created successfully.")?, Err(e) => match e.into_service_error() { CreateEmailTemplateError::AlreadyExistsException(_) => { writeln!( self.stdout, "Email template already exists, skipping creation." )?; } e => return Err(anyhow!("Error creating email template: {}", e)), }, } match self .client .delete_contact_list() .contact_list_name(CONTACT_LIST_NAME) .send() .await { Ok(_) => writeln!(self.stdout, "Contact list deleted successfully.")?, Err(e) => return Err(anyhow!("Error deleting contact list: {e}")), } match self .client .delete_email_identity() .email_identity(self.verified_email.clone()) .send() .await { Ok(_) => writeln!(self.stdout, "Email identity deleted successfully.")?, Err(e) => { return Err(anyhow!("Error deleting email identity: {}", e)); } } match self .client .delete_email_template() .template_name(TEMPLATE_NAME) .send() .await { Ok(_) => writeln!(self.stdout, "Email template deleted successfully.")?, Err(e) => { return Err(anyhow!("Error deleting email template: {e}")); } } ``` + 如需 API 詳細資訊，請參閱 *AWS SDK for Rust API reference* 中的下列主題。 + [CreateContact](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.create_contact) + [CreateContactList](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.create_contact_list) + [CreateEmailIdentity](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.create_email_identity) + [CreateEmailTemplate](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.create_email_template) + [DeleteContactList](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.delete_contact_list) + [DeleteEmailIdentity](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.delete_email_identity) + [DeleteEmailTemplate](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.delete_email_template) + [ListContacts](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.list_contacts) + [SendEmail.simple](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.send_email.simple) + [SendEmail.template](https://docs.rs/aws-sdk-sesv2/latest/aws_sdk_sesv2/client/struct.Client.html#method.send_email.template) # 使用 SDK for Rust 的 Amazon SNS 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon SNS 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) + [案例](#scenarios) + [無伺服器範例](#serverless_examples) ## 動作 ### `CreateTopic` 以下程式碼範例顯示如何使用 `CreateTopic`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sns#code-examples)中設定和執行。 ``` async fn make_topic(client: &Client, topic_name: &str) -> Result<(), Error> { let resp = client.create_topic().name(topic_name).send().await?; println!( "Created topic with ARN: {}", resp.topic_arn().unwrap_or_default() ); Ok(()) } ``` + 如需 API 詳細資訊，請參閱*適用於 Rust API 的AWS SDK 參考*中的 [CreateTopic](https://docs.rs/aws-sdk-sns/latest/aws_sdk_sns/client/struct.Client.html#method.create_topic)。 ### `ListTopics` 以下程式碼範例顯示如何使用 `ListTopics`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sns#code-examples)中設定和執行。 ``` async fn show_topics(client: &Client) -> Result<(), Error> { let resp = client.list_topics().send().await?; println!("Topic ARNs:"); for topic in resp.topics() { println!("{}", topic.topic_arn().unwrap_or_default()); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [ListTopics](https://docs.rs/aws-sdk-sns/latest/aws_sdk_sns/client/struct.Client.html#method.list_topics)。 ### `Publish` 以下程式碼範例顯示如何使用 `Publish`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sns#code-examples)中設定和執行。 ``` async fn subscribe_and_publish( client: &Client, topic_arn: &str, email_address: &str, ) -> Result<(), Error> { println!("Receiving on topic with ARN: `{}`", topic_arn); let rsp = client .subscribe() .topic_arn(topic_arn) .protocol("email") .endpoint(email_address) .send() .await?; println!("Added a subscription: {:?}", rsp); let rsp = client .publish() .topic_arn(topic_arn) .message("hello sns!") .send() .await?; println!("Published message: {:?}", rsp); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的[發佈](https://docs.rs/aws-sdk-sns/latest/aws_sdk_sns/client/struct.Client.html#method.publish)。 ### `Subscribe` 以下程式碼範例顯示如何使用 `Subscribe`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sns#code-examples)中設定和執行。 透過電子郵件地址訂閱某個主題。 ``` async fn subscribe_and_publish( client: &Client, topic_arn: &str, email_address: &str, ) -> Result<(), Error> { println!("Receiving on topic with ARN: `{}`", topic_arn); let rsp = client .subscribe() .topic_arn(topic_arn) .protocol("email") .endpoint(email_address) .send() .await?; println!("Added a subscription: {:?}", rsp); let rsp = client .publish() .topic_arn(topic_arn) .message("hello sns!") .send() .await?; println!("Published message: {:?}", rsp); Ok(()) } ``` + 如需 API 詳細資訊，請參閱*適用於 Rust API 的AWS SDK 參考*中的[訂閱](https://docs.rs/aws-sdk-sns/latest/aws_sdk_sns/client/struct.Client.html#method.subscribe)。 ## 案例 ### 建立無伺服器應用程式來管理相片 下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。 **適用於 Rust 的 SDK** 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/cross_service/photo_asset_management) 上的完整範例。 如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。 **此範例中使用的服務** + API Gateway + DynamoDB + Lambda + Amazon Rekognition + Amazon S3 + Amazon SNS ## 無伺服器範例 ### 使用 Amazon SNS 觸發條件調用 Lambda 函數 下列程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 SNS 主題的訊息來接收所觸發的事件。函數會從事件參數擷取訊息，並記錄每一則訊息的內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-sns-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 SNS 事件。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::event::sns::SnsEvent; use aws_lambda_events::sns::SnsRecord; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; use tracing::info; // Built with the following dependencies: // aws_lambda_events = { version = "0.10.0", default-features = false, features = ["sns"] } // lambda_runtime = "0.8.1" // tokio = { version = "1", features = ["macros"] } // tracing = { version = "0.1", features = ["log"] } // tracing-subscriber = { version = "0.3", default-features = false, features = ["fmt"] } async fn function_handler(event: LambdaEvent) -> Result<(), Error> { for event in event.payload.records { process_record(&event)?; } Ok(()) } fn process_record(record: &SnsRecord) -> Result<(), Error> { info!("Processing SNS Message: {}", record.sns.message); // Implement your record handling code here. Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) .with_target(false) .without_time() .init(); run(service_fn(function_handler)).await } ``` # 使用 SDK for Rust 的 Amazon SQS 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon SQS 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) + [無伺服器範例](#serverless_examples) ## 動作 ### `ListQueues` 以下程式碼範例顯示如何使用 `ListQueues`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sqs#code-examples)中設定和執行。 擷取區域中列出的第一個 Amazon SQS 佇列。 ``` async fn find_first_queue(client: &Client) -> Result { let queues = client.list_queues().send().await?; let queue_urls = queues.queue_urls(); Ok(queue_urls .first() .expect("No queues in this account and Region. Create a queue to proceed.") .to_string()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ListQueues](https://docs.rs/aws-sdk-sqs/latest/aws_sdk_sqs/client/struct.Client.html#method.list_queues)。 ### `ReceiveMessage` 以下程式碼範例顯示如何使用 `ReceiveMessage`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sqs#code-examples)中設定和執行。 ``` async fn receive(client: &Client, queue_url: &String) -> Result<(), Error> { let rcv_message_output = client.receive_message().queue_url(queue_url).send().await?; println!("Messages from queue with url: {}", queue_url); for message in rcv_message_output.messages.unwrap_or_default() { println!("Got the message: {:#?}", message); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [ReceiveMessage](https://docs.rs/aws-sdk-sqs/latest/aws_sdk_sqs/client/struct.Client.html#method.receive_message)。 ### `SendMessage` 以下程式碼範例顯示如何使用 `SendMessage`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sqs#code-examples)中設定和執行。 ``` async fn send(client: &Client, queue_url: &String, message: &SQSMessage) -> Result<(), Error> { println!("Sending message to queue with URL: {}", queue_url); let rsp = client .send_message() .queue_url(queue_url) .message_body(&message.body) // If the queue is FIFO, you need to set .message_deduplication_id // and message_group_id or configure the queue for ContentBasedDeduplication. .send() .await?; println!("Send message to the queue: {:#?}", rsp); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《AWS SDK for Rust API 參考》**中的 [SendMessage](https://docs.rs/aws-sdk-sqs/latest/aws_sdk_sqs/client/struct.Client.html#method.send_message)。 ## 無伺服器範例 ### 使用 Amazon SQS 觸發條件調用 Lambda 函數 下列程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 SQS 佇列的訊息來接收所觸發的事件。函數會從事件參數擷取訊息，並記錄每一則訊息的內容。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-sqs-to-lambda)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 來使用 SQS 事件。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::event::sqs::SqsEvent; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; async fn function_handler(event: LambdaEvent) -> Result<(), Error> { event.payload.records.iter().for_each(|record| { // process the record tracing::info!("Message body: {}", record.body.as_deref().unwrap_or_default()) }); Ok(()) } #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_max_level(tracing::Level::INFO) // disable printing the name of the module in every log line. .with_target(false) // disabling time is handy because CloudWatch will add the ingestion time. .without_time() .init(); run(service_fn(function_handler)).await } ``` ### 使用 Amazon SQS 觸發條件報告 Lambda 函數的批次項目失敗 下列程式碼範例示範如何為接收從 SQS 佇列接收事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/lambda-function-sqs-report-batch-item-failures)儲存庫中設定和執行。 使用 Rust 搭配 Lambda 報告 SQS 批次項目失敗。 ``` // Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 use aws_lambda_events::{ event::sqs::{SqsBatchResponse, SqsEvent}, sqs::{BatchItemFailure, SqsMessage}, }; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; async fn process_record(_: &SqsMessage) -> Result<(), Error> { Err(Error::from("Error processing message")) } async fn function_handler(event: LambdaEvent) -> Result { let mut batch_item_failures = Vec::new(); for record in event.payload.records { match process_record(&record).await { Ok(_) => (), Err(_) => batch_item_failures.push(BatchItemFailure { item_identifier: record.message_id.unwrap(), }), } } Ok(SqsBatchResponse { batch_item_failures, }) } #[tokio::main] async fn main() -> Result<(), Error> { run(service_fn(function_handler)).await } ``` # AWS STS 使用 SDK for Rust 的範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 來執行動作和實作常見案例 AWS STS。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `AssumeRole` 以下程式碼範例顯示如何使用 `AssumeRole`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/sts/#code-examples)中設定和執行。 ``` async fn assume_role(config: &SdkConfig, role_name: String, session_name: Option) { let provider = aws_config::sts::AssumeRoleProvider::builder(role_name) .session_name(session_name.unwrap_or("rust_sdk_example_session".into())) .configure(config) .build() .await; let local_config = aws_config::from_env() .credentials_provider(provider) .load() .await; let client = Client::new(&local_config); let req = client.get_caller_identity(); let resp = req.send().await; match resp { Ok(e) => { println!("UserID : {}", e.user_id().unwrap_or_default()); println!("Account: {}", e.account().unwrap_or_default()); println!("Arn : {}", e.arn().unwrap_or_default()); } Err(e) => println!("{:?}", e), } } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [AssumeRole](https://docs.rs/aws-sdk-sts/latest/aws_sdk_sts/client/struct.Client.html#method.assume_role)。 # 使用 SDK for Rust 的 Systems Manager 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Systems Manager 來執行動作和實作常見案例。 *Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [動作](#actions) ## 動作 ### `DescribeParameters` 以下程式碼範例顯示如何使用 `DescribeParameters`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ssm#code-examples)中設定和執行。 ``` async fn show_parameters(client: &Client) -> Result<(), Error> { let resp = client.describe_parameters().send().await?; for param in resp.parameters() { println!(" {}", param.name().unwrap_or_default()); } Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [DescribeParameters](https://docs.rs/aws-sdk-ssm/latest/aws_sdk_ssm/client/struct.Client.html#method.describe_parameters)。 ### `GetParameter` 以下程式碼範例顯示如何使用 `GetParameter`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ssm#code-examples)中設定和執行。 ``` pub async fn list_path(&self, path: &str) -> Result, EC2Error> { let maybe_params: Vec> = TryFlatMap::new( self.inner .get_parameters_by_path() .path(path) .into_paginator() .send(), ) .flat_map(|item| item.parameters.unwrap_or_default()) .collect() .await; // Fail on the first error let params = maybe_params .into_iter() .collect::, _>>()?; Ok(params) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [GetParameter](https://docs.rs/aws-sdk-ssm/latest/aws_sdk_ssm/client/struct.Client.html#method.get_parameter)。 ### `PutParameter` 以下程式碼範例顯示如何使用 `PutParameter`。 **適用於 Rust 的 SDK** GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/ssm#code-examples)中設定和執行。 ``` async fn make_parameter( client: &Client, name: &str, value: &str, description: &str, ) -> Result<(), Error> { let resp = client .put_parameter() .overwrite(true) .r#type(ParameterType::String) .name(name) .value(value) .description(description) .send() .await?; println!("Success! Parameter now has version: {}", resp.version()); Ok(()) } ``` + 如需 API 詳細資訊，請參閱《適用於 Rust 的AWS SDK API 參考》**中的 [PutParameter](https://docs.rs/aws-sdk-ssm/latest/aws_sdk_ssm/client/struct.Client.html#method.put_parameter)。 # 使用 SDK for Rust 的 Amazon Transcribe 範例 下列程式碼範例示範如何使用 AWS SDK for Rust 搭配 Amazon Transcribe 來執行動作和實作常見案例。 *案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。 每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。 **Topics** + [案例](#scenarios) ## 案例 ### 將文字轉換為語音然後返回文字 以下程式碼範例顯示做法： + 使用 Amazon Polly 將純文字 (UTF-8) 輸入檔案合成至音訊檔案中。 + 將音訊檔案上傳至 Amazon S3 儲存貯體。 + 使用 Amazon Transcribe 將音訊檔案轉換為文字。 + 顯示文字。 **適用於 Rust 的 SDK** 使用 Amazon Polly 將純文字 (UTF-8) 輸入檔案合成至音訊檔案中，將音訊檔案上傳至 Amazon S3 儲存貯體，使用 Amazon Transcribe 將該音訊檔案轉換為文字，然後顯示文字。 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/rustv1/cross_service#code-examples) 上的完整範例。 **此範例中使用的服務** + Amazon Polly + Amazon S3 + Amazon Transcribe