Contoh Kinesis menggunakan SDK untuk Rust

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(())
}

async fn remove_stream(client: &Client, stream: &str) -> Result<(), Error> {
    client.delete_stream().stream_name(stream).send().await?;

    println!("Deleted stream.");

    Ok(())
}

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(())
}

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(())
}

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(())
}

Mengkonsumsi acara Kinesis dengan Lambda menggunakan Rust.

// 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<KinesisEvent>) -> 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
}

Melaporkan kegagalan item batch Kinesis dengan Lambda menggunakan Rust.

// 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<KinesisEvent>) -> Result<KinesisEventResponse, Error> {
    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
}