Install AWS SDK for JavaScript
- First, ensure you have Node.js and npm installed. You can install the AWS SDK by running:
npm install aws-sdk
Configure AWS Credentials
- Create a file at ~/.aws/credentials on macOS/Linux, or at C:\Users\USERNAME.aws\credentials on Windows. Add your AWS access and secret keys in the following format:
[default]
aws_access_key_id=YOUR_ACCESS_KEY
aws_secret_access_key=YOUR_SECRET_KEY
Set Up the Project
- Create a new JavaScript file in your project directory. For instance, call it app.js.
- Import the AWS SDK at the top of this file by using the require statement:
const AWS = require('aws-sdk');
Configure Kinesis Client
- Instantiate the Kinesis client by specifying the region and any other settings you may wish to configure:
AWS.config.update({ region: 'us-east-1' });
const kinesis = new AWS.Kinesis();
Create a Data Stream
- To create a new data stream, use the createStream method. Ensure you manage your stream's name and shard count appropriately:
const params = {
ShardCount: 1,
StreamName: 'myDataStream'
};
kinesis.createStream(params, (err, data) => {
if (err) console.log(err, err.stack);
else console.log(data);
});
Put Records into Data Stream
- To send data to your stream, use the putRecord or putRecords methods for single or multiple records respectively:
const recordParams = {
Data: JSON.stringify({ key: 'value' }),
PartitionKey: 'partitionKey',
StreamName: 'myDataStream'
};
kinesis.putRecord(recordParams, (err, data) => {
if (err) console.log(err, err.stack);
else console.log(data);
});
Read from Data Stream
- To read data from the stream, determine a shard iterator and then use it to retrieve records:
const shardParams = {
ShardId: 'shardId-000000000000',
ShardIteratorType: 'TRIM_HORIZON',
StreamName: 'myDataStream'
};
kinesis.getShardIterator(shardParams, (err, data) => {
if (err) console.log(err, err.stack);
else {
const shardIterator = data.ShardIterator;
kinesis.getRecords({ ShardIterator: shardIterator, Limit: 10 }, (err, data) => {
if (err) console.log(err, err.stack);
else console.log(data);
});
}
});
Error Handling
- Handle potential errors gracefully in your applications, by implementing error-handling logic for debugging and efficiency:
try {
// Implement your code block
} catch (error) {
console.error('Error occurred:', error);
}
Additional Performance Tips
- For improved performance and scalability, consider using AWS Lambda to process records streamed via Amazon Kinesis.
- Implement retry logic in your application to handle occasional throttling or network latencies while accessing the Kinesis API.
