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Flink CDC for Postgres: Lessons Learned | sap1ens.com

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Change data capture is a powerful technique for consuming data from a database. Modern solutions like Debezium leverage native WAL abstractions like MySQL binlog or Postgres replication slots to get data reliably and fast. CDC Connectors for Apache Flink is an open-source project that provides tools like Debezium in native Flink source APIs, so it can be easily used in any Flink project. This blog post contains the lessons learned regarding working around some of the Flink CDC limitations and how they affect the overall Flink application design, as well as different gotchas related to the connector setup and configuration. Also, I’ll target Postgres database specifically, but many insights here can be applied to other databases as well. I’m not going to repeat many excellent resources on this topic. Instead, if you’re still not convinced refer to the Debezium FAQ and an excellent collection of CDC and Debezium resources. Typically Debezium is executed as a Kafka Connect connector, whic

Change data capture is a powerful technique for consuming data from a database. Modern solutions like Debezium leverage native WAL abstractions like MySQL binlog or Postgres replication slots to get data reliably and fast. CDC Connectors for Apache Flink is an open-source project that provides tools like Debezium in native Flink source APIs, so it can be easily used in any Flink project. This blog post contains the lessons learned regarding working around some of the Flink CDC limitations and how they affect the overall Flink application design, as well as different gotchas related to the conn

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