kafka streams_如何使用Kafka Streams实施更改数据捕获

kafka streams

Change Data Capture (CDC) involves observing the changes happening in a database and making them available in a form that can be exploited by other systems.

更改数据捕获 (CDC)涉及观察数据库中发生的更改，并将其以可被其他系统利用的形式提供。

One of the most interesting use-cases is to make them available as a stream of events. This means you can, for example, catch the events and update a search index as the data are written to the database.

最有趣的用例之一是使它们作为事件流可用。这意味着，例如，您可以捕获事件并在将数据写入数据库时更新搜索索引。

Interesting right? Let's see how to implement a CDC system that can observe the changes made to a NoSQL database (MongoDB), stream them through a message broker (Kafka), process the messages of the stream (Kafka Streams), and update a search index (Elasticsearch)!

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