Redis XACK in Java (Detailed Guide w/ Code Examples)

Use Case(s)

The XACK command in Redis is used to acknowledge the processing of a message from a stream by a consumer. It's often used in situations where you have a distributed system and need to process stream data reliably. For instance, in a microservices architecture, one service might publish events to a stream, while another service consumes these events for processing.

Code Examples

To use the XACK command with Redis in Java, you will often be using a library such as Jedis or Lettuce. Here's an example with Jedis:

import redis.clients.jedis.Jedis; import redis.clients.jedis.StreamEntryID; public class AckMessage { public static void main(String[] args) { try (Jedis jedis = new Jedis("localhost", 6379)) { String streamKey = "myStream"; String consumerGroup = "myGroup"; // Message ID which needs to be acknowledged StreamEntryID messageId = new StreamEntryID("1518951480106-0"); // Acknowledge the message jedis.xack(streamKey, consumerGroup, messageId); } } }

In this example, we connect to a Redis server running on localhost at port 6379. We then use the xack method of the Jedis instance to acknowledge a specific message in a stream consumed by a consumer group.

Best Practices

When using XACK, ensure you are only acknowledging messages after they have been successfully processed. This helps maintain the guarantee that each message in the stream is processed at least once.

Also, use consumer groups wisely. They allow multiple consumers to divide the work of processing messages in a stream, without missing or duplicating the processing of messages.

Common Mistakes

A common mistake when using XACK is acknowledging a message before it has been successfully processed. If an error occurs during processing and the message has already been acknowledged, the system assumes that the message is processed and it's lost.

Another mistake is forgetting to acknowledge a message after processing it. This can lead to the same message being reprocessed multiple times, potentially leading to incorrect data if your processing isn't idempotent.


Q: What happens if I don’t use XACK after processing a message?

A: If you don’t use XACK, the message will stay as unacknowledged in the Redis Stream and will be delivered again when the consumer group is queried for new messages.

Q: Can I acknowledge more than one message at once?

A: Yes, with Jedis xack method you can acknowledge multiple messages at once by passing multiple StreamEntryID instances.

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