![]() Lines 7-10 create the message body, using a map, since Redis Streams messages are string key/values in Java.( String.format("Message %s : %s posted", messageId, messageBody) ) MessageBody.put( "sensor_ts", String.valueOf(System.currentTimeMillis()) ) RedisCommands syncCommands = connection.sync() StatefulRedisConnection connection = nnect() RedisClient redisClient = RedisClient.create("redis://localhost:6379") // change to reflect your environment Let’s walk through the steps involved in creating the sample project: Step 1: Adding Lettuce to your Maven projectĪdd the dependency below to your project file: My current favorite for working with Redis Streams is Lettuce, so what I use in this sample app. Redis has many Java clients developed by the community, as you can see on Redis.io. To get started, you’ll need Redis 5.x, Java 8 or later, Apache Maven 3.5.x, and Git. The redis-streams-101-java GitHub repository contains sample code that shows how to post messages to a Stream and c onsume messages using a consumer group. The best way to learn how to use Redis Streams and Java, is to build a sample application. (Enroll in the Redis University: Redis Streams course to learn more.) Java and Redis Streams If you’re evaluating Pub/Sub and Redis Streams and it’s not immediately clear, you might want to think either more about your problem to be solved or re-read the documentation on both. So, while it may be tempting to compare Redis Streams and Redis Pub/Sub and decide that one is better than the other, these two features aim to accomplish different things. Redis Streams consumer groups, like the similar concept in Apache Kafka, allows client applications to consume messages in a distributed fashion (multiple clients), making it easy to scale and create highly available systems. In addition, Redis Streams has the concept of consumer groups. For example, read the whole history or only new messages. Consume messages starting from a specific point.This is a big difference from Redis Pub/Sub. Consume messages that are published even when the client application (consumer) is not running.Nothing extraordinary here, you could already do that with Redis Pub/Sub. Create applications that publish and consume messages. ![]() Redis Streams is a Redis data type that represents a log, so you can add new information and message in an append-only mode (Note: This is not 100% accurate, since you can remove messages from the log, but it’s close enough.) Redis Streams lets you build “Kafka-like” applications, which can: As a big fan of streaming-based applications, I am thrilled to share what I’ve learned about how to use Redis Streams and Java. So I started digging in, and quickly discovered Redis Streams. As a new Enterprise Technical Account Manager at Redis, one of my first tasks was to learn more about Redis. ![]()
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