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Debezium Blog

It is a common requirement for business applications to maintain some form of audit log, i.e. a persistent trail of all the changes to the application’s data. If you squint a bit, a Kafka topic with Debezium data change events is quite similar to that: sourced from database transaction logs, it describes all the changes to the records of an application. What’s missing though is some metadata: why, when and by whom was the data changed? In this post we’re going to explore how that metadata can be provided and exposed via change data capture (CDC), and how stream processing can be used to enrich the actual data change events with such metadata.

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I’m very happy to announce the release of Debezium 0.10.0.CR2!

After the CR1 release we decided to do another candidate release, as there was not only a good number of bug fixes coming in, but also a few very useful feature implementations were provided by the community, which we didn’t want to delay. So we adjusted the original plan a bit and now aim for Debezium 0.10 Final in the course of next week, barring any unforeseen regressions.

As usual, let’s take a closer look at some of the new features and resolved bugs.

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The Debezium community is on the homestretch towards the 0.10 release and we’re happy to announce the availability of Debezium 0.10.0.CR1!

Besides a number of bugfixes to the different connectors, this release also brings a substantial improvement to the way initial snapshots can be done with Postgres. Unless any major regressions show up, the final 0.10 release should follow very soon.

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This past summer has been a super exciting time for the team. Not only have we been working hard on Debezium 0.10 but we have unveiled some recent changes to debezium.io.

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The temperatures are slowly cooling off after the biggest summer heat, an the Debezium community is happy to announce the release of Debezium 0.10.0.Beta4. In this release we’re happy to share some news we don’t get to share too often: with Apache Cassandra, another database gets added to the list of databases supported by Debezium!

In addition, we finished our efforts for rebasing the existing Postgres connector to Debezium framework structure established for the SQL Server and Oracle connectors. This means more shared coded between these connectors, and in turn reduced maintenance efforts for the development team going forward; but there’s one immediately tangible advantage for you coming with this, too: the Postgres connector now exposes the same metrics you already know from the other connectors.

Finally, the new release contains a range of bugfixes and other useful improvements. Let’s explore some details below.

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