Apache Kafka is a very popular and powerful framework for processing huge quantities of data in real time. You can use its streaming capability to kee

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2024-11-26 21:00:03

Apache Kafka is a very popular and powerful framework for processing huge quantities of data in real time. You can use its streaming capability to keep track of logs, perform transactions, and fuel analytics. But what if you want to go back and reprocess some data? Maybe you have a bug to reproduce, lost data, or need to sort the past. You will find below a step-by-step Java code guide that shows you why and how to replay messages on Kafka.

However, Kafka’s message policies message replay comes with its own rules to allow us to look at old data. Here are a few Kafka message replay techniques and Java code for each.

In Kafka, data in the form of events and messages is stored and organized in topics divided into partitions to live in different nodes in the Kafka cluster. Each message in a partition has an offset, a unique identifier of messages from the beginning of a Kafka partition. Consumers of a Kafka topic keep track of the offsets to determine where they left off; by adjusting these offsets, we can control which messages to replay.

The following example shows how to seek offsets back to the beginning of a topic so you can replay all messages in that topic:.

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