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使用创建具有温吞吐量设置的 DynamoDB 表 AWS SDK
以下代码示例演示如何创建启用了热吞吐量的表。
- Java
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- SDK适用于 Java 2.x
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使用温吞吐量设置创建 DynamoDB 表。
import software.amazon.awssdk.services.dynamodb.DynamoDbClient; import software.amazon.awssdk.services.dynamodb.model.AttributeDefinition; import software.amazon.awssdk.services.dynamodb.model.CreateTableRequest; import software.amazon.awssdk.services.dynamodb.model.CreateTableResponse; import software.amazon.awssdk.services.dynamodb.model.GlobalSecondaryIndex; import software.amazon.awssdk.services.dynamodb.model.KeySchemaElement; import software.amazon.awssdk.services.dynamodb.model.KeyType; import software.amazon.awssdk.services.dynamodb.model.Projection; import software.amazon.awssdk.services.dynamodb.model.ProjectionType; import software.amazon.awssdk.services.dynamodb.model.ProvisionedThroughput; import software.amazon.awssdk.services.dynamodb.model.ScalarAttributeType; import software.amazon.awssdk.services.dynamodb.model.WarmThroughput; public static WarmThroughput buildWarmThroughput(final Long readUnitsPerSecond, final Long writeUnitsPerSecond) { return WarmThroughput.builder() .readUnitsPerSecond(readUnitsPerSecond) .writeUnitsPerSecond(writeUnitsPerSecond) .build(); } public static ProvisionedThroughput buildProvisionedThroughput(final Long readCapacityUnits, final Long writeCapacityUnits) { return ProvisionedThroughput.builder() .readCapacityUnits(readCapacityUnits) .writeCapacityUnits(writeCapacityUnits) .build(); } private static AttributeDefinition buildAttributeDefinition(final String attributeName, final ScalarAttributeType scalarAttributeType) { return AttributeDefinition.builder() .attributeName(attributeName) .attributeType(scalarAttributeType) .build(); } private static KeySchemaElement buildKeySchemaElement(final String attributeName, final KeyType keyType) { return KeySchemaElement.builder() .attributeName(attributeName) .keyType(keyType) .build(); } public static void createDynamoDBTable(DynamoDbClient ddb, String tableName, String partitionKey, String sortKey, String miscellaneousKeyAttribute, String nonKeyAttribute, Long tableReadCapacityUnits, Long tableWriteCapacityUnits, Long tableWarmReadUnitsPerSecond, Long tableWarmWriteUnitsPerSecond, String globalSecondaryIndexName, Long globalSecondaryIndexReadCapacityUnits, Long globalSecondaryIndexWriteCapacityUnits, Long globalSecondaryIndexWarmReadUnitsPerSecond, Long globalSecondaryIndexWarmWriteUnitsPerSecond) { // Define the table attributes final AttributeDefinition partitionKeyAttribute = buildAttributeDefinition(partitionKey, ScalarAttributeType.S); final AttributeDefinition sortKeyAttribute = buildAttributeDefinition(sortKey, ScalarAttributeType.S); final AttributeDefinition miscellaneousKeyAttributeDefinition = buildAttributeDefinition(miscellaneousKeyAttribute, ScalarAttributeType.N); final AttributeDefinition[] attributeDefinitions = {partitionKeyAttribute, sortKeyAttribute, miscellaneousKeyAttributeDefinition}; // Define the table key schema final KeySchemaElement partitionKeyElement = buildKeySchemaElement(partitionKey, KeyType.HASH); final KeySchemaElement sortKeyElement = buildKeySchemaElement(sortKey, KeyType.RANGE); final KeySchemaElement[] keySchema = {partitionKeyElement, sortKeyElement}; // Define the provisioned throughput for the table final ProvisionedThroughput provisionedThroughput = buildProvisionedThroughput(tableReadCapacityUnits, tableWriteCapacityUnits); // Define the Global Secondary Index (GSI) final KeySchemaElement globalSecondaryIndexPartitionKeyElement = buildKeySchemaElement(sortKey, KeyType.HASH); final KeySchemaElement globalSecondaryIndexSortKeyElement = buildKeySchemaElement(miscellaneousKeyAttribute, KeyType.RANGE); final KeySchemaElement[] gsiKeySchema = {globalSecondaryIndexPartitionKeyElement, globalSecondaryIndexSortKeyElement}; final Projection gsiProjection = Projection.builder() .projectionType(String.valueOf(ProjectionType.INCLUDE)) .nonKeyAttributes(nonKeyAttribute) .build(); final ProvisionedThroughput gsiProvisionedThroughput = buildProvisionedThroughput(globalSecondaryIndexReadCapacityUnits, globalSecondaryIndexWriteCapacityUnits); // Define the warm throughput for the Global Secondary Index (GSI) final WarmThroughput gsiWarmThroughput = buildWarmThroughput(globalSecondaryIndexWarmReadUnitsPerSecond, globalSecondaryIndexWarmWriteUnitsPerSecond); final GlobalSecondaryIndex globalSecondaryIndex = GlobalSecondaryIndex.builder() .indexName(globalSecondaryIndexName) .keySchema(gsiKeySchema) .projection(gsiProjection) .provisionedThroughput(gsiProvisionedThroughput) .warmThroughput(gsiWarmThroughput) .build(); // Define the warm throughput for the table final WarmThroughput tableWarmThroughput = buildWarmThroughput(tableWarmReadUnitsPerSecond, tableWarmWriteUnitsPerSecond); final CreateTableRequest request = CreateTableRequest.builder() .tableName(tableName) .attributeDefinitions(attributeDefinitions) .keySchema(keySchema) .provisionedThroughput(provisionedThroughput) .globalSecondaryIndexes(globalSecondaryIndex) .warmThroughput(tableWarmThroughput) .build(); CreateTableResponse response = ddb.createTable(request); System.out.println(response); }
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有关API详细信息,请参阅 “AWS SDK for Java 2.x API参考 CreateTable” 中的。
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- JavaScript
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- SDK对于 JavaScript (v3)
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import { DynamoDBClient, CreateTableCommand } from "@aws-sdk/client-dynamodb"; async function createDynamoDBTableWithWarmThroughput( tableName, partitionKey, sortKey, miscKeyAttr, nonKeyAttr, tableProvisionedReadUnits, tableProvisionedWriteUnits, tableWarmReads, tableWarmWrites, indexName, indexProvisionedReadUnits, indexProvisionedWriteUnits, indexWarmReads, indexWarmWrites, region = "us-east-1" ) { try { const ddbClient = new DynamoDBClient({ region: region }); const command = new CreateTableCommand({ TableName: tableName, AttributeDefinitions: [ { AttributeName: partitionKey, AttributeType: "S" }, { AttributeName: sortKey, AttributeType: "S" }, { AttributeName: miscKeyAttr, AttributeType: "N" }, ], KeySchema: [ { AttributeName: partitionKey, KeyType: "HASH" }, { AttributeName: sortKey, KeyType: "RANGE" }, ], ProvisionedThroughput: { ReadCapacityUnits: tableProvisionedReadUnits, WriteCapacityUnits: tableProvisionedWriteUnits, }, WarmThroughput: { ReadUnitsPerSecond: tableWarmReads, WriteUnitsPerSecond: tableWarmWrites, }, GlobalSecondaryIndexes: [ { IndexName: indexName, KeySchema: [ { AttributeName: sortKey, KeyType: "HASH" }, { AttributeName: miscKeyAttr, KeyType: "RANGE" }, ], Projection: { ProjectionType: "INCLUDE", NonKeyAttributes: [nonKeyAttr], }, ProvisionedThroughput: { ReadCapacityUnits: indexProvisionedReadUnits, WriteCapacityUnits: indexProvisionedWriteUnits, }, WarmThroughput: { ReadUnitsPerSecond: indexWarmReads, WriteUnitsPerSecond: indexWarmWrites, }, }, ], }); const response = await ddbClient.send(command); console.log(response); } catch (error) { console.error(`Error creating table: ${error}`); throw error; } }
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有关API详细信息,请参阅 “AWS SDK for JavaScript API参考 CreateTable” 中的。
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- Python
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- SDK适用于 Python (Boto3)
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from boto3 import resource from botocore.exceptions import ClientError def create_dynamodb_table_warm_throughput(table_name, partition_key, sort_key, misc_key_attr, non_key_attr, table_provisioned_read_units, table_provisioned_write_units, table_warm_reads, table_warm_writes, gsi_name, gsi_provisioned_read_units, gsi_provisioned_write_units, gsi_warm_reads, gsi_warm_writes, region_name="us-east-1"): """ Creates a DynamoDB table with a warm throughput setting configured. :param table_name: The name of the table to be created. :param partition_key: The partition key for the table being created. :param sort_key: The sort key for the table being created. :param misc_key_attr: A miscellaneous key attribute for the table being created. :param non_key_attr: A non-key attribute for the table being created. :param table_provisioned_read_units: The newly created table's provisioned read capacity units. :param table_provisioned_write_units: The newly created table's provisioned write capacity units. :param table_warm_reads: The read units per second setting for the table's warm throughput. :param table_warm_writes: The write units per second setting for the table's warm throughput. :param gsi_name: The name of the Global Secondary Index (GSI) to be created on the table. :param gsi_provisioned_read_units: The configured Global Secondary Index (GSI) provisioned read capacity units. :param gsi_provisioned_write_units: The configured Global Secondary Index (GSI) provisioned write capacity units. :param gsi_warm_reads: The read units per second setting for the Global Secondary Index (GSI)'s warm throughput. :param gsi_warm_writes: The write units per second setting for the Global Secondary Index (GSI)'s warm throughput. :param region_name: The AWS Region name to target. defaults to us-east-1 """ try: ddb = resource('dynamodb', region_name) # Define the table attributes attribute_definitions = [ { "AttributeName": partition_key, "AttributeType": "S" }, { "AttributeName": sort_key, "AttributeType": "S" }, { "AttributeName": misc_key_attr, "AttributeType": "N" } ] # Define the table key schema key_schema = [ { "AttributeName": partition_key, "KeyType": "HASH" }, { "AttributeName": sort_key, "KeyType": "RANGE" } ] # Define the provisioned throughput for the table provisioned_throughput = { "ReadCapacityUnits": table_provisioned_read_units, "WriteCapacityUnits": table_provisioned_write_units } # Define the global secondary index gsi_key_schema = [ { "AttributeName": sort_key, "KeyType": "HASH" }, { "AttributeName": misc_key_attr, "KeyType": "RANGE" } ] gsi_projection = { "ProjectionType": "INCLUDE", "NonKeyAttributes": [non_key_attr] } gsi_provisioned_throughput = { "ReadCapacityUnits": gsi_provisioned_read_units, "WriteCapacityUnits": gsi_provisioned_write_units } gsi_warm_throughput = { "ReadUnitsPerSecond": gsi_warm_reads, "WriteUnitsPerSecond": gsi_warm_writes } global_secondary_indexes = [ { "IndexName": gsi_name, "KeySchema": gsi_key_schema, "Projection": gsi_projection, "ProvisionedThroughput": gsi_provisioned_throughput, "WarmThroughput": gsi_warm_throughput } ] # Define the warm throughput for the table warm_throughput = { "ReadUnitsPerSecond": table_warm_reads, "WriteUnitsPerSecond": table_warm_writes } # Create the DynamoDB client and create the table response = ddb.create_table( TableName=table_name, AttributeDefinitions=attribute_definitions, KeySchema=key_schema, ProvisionedThroughput=provisioned_throughput, GlobalSecondaryIndexes=global_secondary_indexes, WarmThroughput=warm_throughput ) print(response) except ClientError as e: print(f"Error creating table: {e}") raise e
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有关API详细信息,请参阅CreateTable中的 AWS SDKPython (Boto3) API 参考。
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创建无服务器应用程序来管理照片
创建 Web 应用程序来跟踪 DynamoDB 数据