Redis Streams - Enterprise Messaging Systems

Redis Streams is a powerful data structure introduced in Redis 5.0 that allows developers to manage a log-like dataset. It enables real-time data processing and is particularly useful in enterprise messaging systems where data flows continuously and needs to be processed efficiently.

• **Stream**: A log data structure that holds messages with unique IDs.
• **Message**: An entry within a stream, consisting of a unique ID and associated fields.
• **Consumer Group**: A way to allow multiple consumers to read from a stream without duplicating messages.
• **Acknowledgment**: A process where consumers confirm the processing of messages.

To use Redis Streams, ensure you have Redis 5.0 or later installed. You can start by creating a stream and adding messages.

redis-cli
> XADD mystream * name "Alice" age 30
> XADD mystream * name "Bob" age 25

This creates a stream called `mystream` and adds two messages to it.

4.1 Adding Messages

const redis = require('redis');
const client = redis.createClient();

client.xadd('mystream', '*', 'name', 'Charlie', 'age', 28, (err, res) => {
    console.log('Message ID:', res);
});

4.2 Reading Messages

client.xread('BLOCK', 0, 'STREAMS', 'mystream', '$', (err, res) => {
    console.log('New messages:', res);
});

4.3 Using Consumer Groups

client.xgroup('CREATE', 'mystream', 'mygroup', '$', (err, res) => {
    console.log('Group created:', res);
});

• Use consumer groups to handle message processing without duplication.
• Set a maximum length for streams to prevent excessive data growth.
• Monitor your streams and consumers to ensure optimal performance.
• Implement proper error handling for message processing.