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Debezium Blog

The team is excited to announce the first beta release of the Debezium 2.2 release stream, Debezium 2.2.0.Beta1.

This release includes a plethora of bug fixes, improvements, and a number of new features including, but not limited to, a new JDBC sink connector implementation, MongoDB sharded cluster improvements, Google Spanner PostgreSQL dialect support, and a RabbitMQ sink implementation for Debezium Server to just name a few.

Let’s take moment and dive into what’s new!

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March 9, 2023 by Fiore Mario Vitale

Hi everyone, my name is Mario Fiore Vitale and I recently joined Red Hat and the Debezium team.

I am a very curious person that follows a continuous learning approach, I like to keep growing my skills. I care about code quality and readability.

I have about 9+ years of experience and have worked for consultancy, startup, and enterprise product companies in different sectors. In my previously experience I had the chance to work on architecture re-design project to split a monolith into a microservices application. During this experience I gained experience with different technologies such as Kafka, Elasticsearch, Redis, Kubernetes, VictoriaMetrics, Spring Framework, and a bit of Cassandra.

Why Am I here?

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Today, I am pleased to announce the third alpha release in the 2.2 release stream, Debezium 2.2.0.Alpha3.

This release includes a plethora of bug fixes, improvements, breaking changes, and a number of new features including, but not limited to, optional parallel snapshots, server-side MongoDB change stream filtering, surrogate keys for incremental snapshots, a new Cassandra connector for Cassandra Enterprise, much more.

Let’s take moment and dive into some of these new features, improvements, and breaking changes.

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Today, I am pleased to announce the second alpha release in the 2.2 release stream, Debezium 2.2.0.Alpha2. This release includes a plethora of bug fixes, improvements, breaking changes, and a number of new features including, but not limited to, a new ExtractRecordChanges single message transformation, a Reactive-based implementation of the Debezium Outbox extension for Quarkus, a Debezium Storage module for Apache RocketMQ, and much more. Let’s take moment and dive into these new features, improvements, and breaking changes.

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In this post, we are going to talk about a CDC-CQRS pipeline between a normalized relational database, MySQL, as the command database and a de-normalized NoSQL database, MongoDB, as the query database resulting in the creation of DDD Aggregates via Debezium & Kafka-Streams.

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