The Apache Flink Community is excited to announce the release of Flink CDC 3.6.0! This release extends Flink version support to 1.20.x and 2.2.x, upgrades JDK version to 11, introduces new Oracle Source and Apache Hudi Sink Pipeline connectors, adds Lenient mode schema evolution support for Fluss Pipeline connector, introduces PostgreSQL Schema Evolution support, enhances Schema Evolution capabilities for better multi-table synchronization scenarios and table name mapping flexibility, and strengthens Transform framework with VARIANT type and JSON parsing support. Numerous bug fixes and improvements have been made across various connectors including MySQL, MongoDB, Oracle, Iceberg, StarRocks, Kafka, and Paimon.

Flink is an open-source stream processing framework for building real-time data applications, offering powerful features for data processing, analytics, and event-driven architectures. Developers can learn about stream processing concepts, event-driven architectures, and real-time analytics techniques to build scalable and fault-tolerant data pipelines for processing large volumes of data in real-time.

Flink

Apache Flink CDC 3.6.0 has been released with several major additions: Flink version support extended to 1.20.x and 2.2.x, JDK bumped to version 11, new Oracle Source and Apache Hudi Sink Pipeline connectors, PostgreSQL Schema Evolution support, Lenient mode schema evolution for the Fluss connector, and VARIANT type with JSON parsing in the Transform framework. Pipeline connector improvements span Iceberg (AWS Glue and BigQuery catalog support), StarRocks (DDL support), Paimon (VARIANT type, write parallelism), and Kafka (complex type serialization). Numerous bug fixes address MySQL CDC issues including MySQL 8.0+ support, binlog reading edge cases, and data loss scenarios, plus MongoDB and Oracle CDC fixes.

Apache Flink CDC 3.6.0 Release Announcement