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|  How to Use Amazon Kinesis Data Streams API in Java

How to Use Amazon Kinesis Data Streams API in Java

October 31, 2024

Learn to harness Amazon Kinesis Data Streams API with Java in this comprehensive guide. Build, manage, and analyze data streams effectively today.

How to Use Amazon Kinesis Data Streams API in Java

 

Prerequisites

 

  • Ensure that your development environment has Java Development Kit (JDK) installed and properly configured.
  •  

  • Install an Integrated Development Environment (IDE) like IntelliJ IDEA or Eclipse to easily manage your project.
  •  

  • Add the AWS SDK for Java dependencies to your project. Use a build tool like Maven or Gradle to manage dependencies.

 

<!-- Maven Dependency -->
<dependency>
  <groupId>com.amazonaws</groupId>
  <artifactId>aws-java-sdk-kinesis</artifactId>
  <version>1.12.526</version> <!-- Use the latest stable version -->
</dependency>
// Gradle Dependency
dependencies {
  implementation 'com.amazonaws:aws-java-sdk-kinesis:1.12.526' // Use the latest stable version
}

 

Configure AWS Credentials

 

  • Set up your AWS credentials using the AWS CLI, environment variables, or an AWS credentials file. These credentials are necessary to authenticate and authorize API calls.
  •  

  • Store the credentials securely and never hard-code them in your application.

 

aws configure

 

Create a Kinesis Client in Java

 

  • Initialize a Kinesis client using the AWS SDK. This client provides methods for interacting with Kinesis Data Streams.

 

import com.amazonaws.services.kinesis.AmazonKinesis;
import com.amazonaws.services.kinesis.AmazonKinesisClientBuilder;

public class KinesisService {
    private final AmazonKinesis kinesisClient;

    public KinesisService() {
        kinesisClient = AmazonKinesisClientBuilder.standard().build();
    }

    // Other methods to use the client...
}

 

Create a Data Stream

 

  • Before producing or consuming data, create a stream if it doesn't exist. Specify the stream name and the number of shards (a unit of capacity).

 

import com.amazonaws.services.kinesis.model.CreateStreamRequest;

public void createStream(String streamName, int shardCount) {
    CreateStreamRequest request = new CreateStreamRequest();
    request.setStreamName(streamName);
    request.setShardCount(shardCount);
    kinesisClient.createStream(request);
}

 

Put Records into a Data Stream

 

  • Use the PutRecord API to send data to the stream. You need to specify the stream name, data, and a partition key which determines the shard where the data record is placed.

 

import com.amazonaws.services.kinesis.model.PutRecordRequest;
import com.amazonaws.services.kinesis.model.PutRecordResult;
import java.nio.ByteBuffer;

public void putRecord(String streamName, String data, String partitionKey) {
    byte[] bytes = data.getBytes();
    PutRecordRequest request = new PutRecordRequest();
    request.setStreamName(streamName);
    request.setData(ByteBuffer.wrap(bytes));
    request.setPartitionKey(partitionKey);

    PutRecordResult result = kinesisClient.putRecord(request);
    System.out.println("Record inserted, Sequence Number: " + result.getSequenceNumber());
}

 

Consume Records from a Data Stream

 

  • To read data, use a Kinesis Client Library (KCL) or directly interact with the AWS SDK to get the records from shards.
  • Start by getting the shard iterator, then use the iterator to continuously read records.

 

import com.amazonaws.services.kinesis.model.GetRecordsRequest;
import com.amazonaws.services.kinesis.model.GetRecordsResult;
import com.amazonaws.services.kinesis.model.GetShardIteratorRequest;
import com.amazonaws.services.kinesis.model.ShardIteratorType;

public void consumeRecords(String streamName) {
    // Describe stream to get shards
    String shardId = "shardId-000000000000"; // Retrieve dynamically

    GetShardIteratorRequest getShardIteratorRequest = new GetShardIteratorRequest()
            .withStreamName(streamName)
            .withShardId(shardId)
            .withShardIteratorType(ShardIteratorType.TRIM_HORIZON);

    String shardIterator = kinesisClient.getShardIterator(getShardIteratorRequest).getShardIterator();

    GetRecordsRequest getRecordsRequest = new GetRecordsRequest();
    getRecordsRequest.setShardIterator(shardIterator);
    getRecordsRequest.setLimit(25);

    GetRecordsResult result = kinesisClient.getRecords(getRecordsRequest);
    result.getRecords().forEach(record -> System.out.println(new String(record.getData().array())));
}

 

Monitor and Clean Up

 

  • Monitor the performance of the stream using Amazon CloudWatch metrics such as IncomingBytes and WriteProvisionedThroughputExceeded.
  •  

  • Consider implementing auto-scaling to adjust the number of shards based on your application’s load.
  •  

  • Remember to delete the stream when it's no longer needed to avoid unnecessary charges.

 

import com.amazonaws.services.kinesis.model.DeleteStreamRequest;

public void deleteStream(String streamName) {
    DeleteStreamRequest request = new DeleteStreamRequest();
    request.setStreamName(streamName);
    kinesisClient.deleteStream(request);
}

 

By using Amazon Kinesis Data Streams API in Java, developers can efficiently handle real-time data processing scenarios. Remember to follow best practices for handling credentials and error management to ensure a reliable and secure streaming data application.

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