The Apache Flink Community is pleased to announce the second bug fix release of the Flink 1.15 series.
This release includes 30 bug fixes, vulnerability fixes, and minor improvements for Flink 1.15. Below you will find a list of all bugfixes and improvements (excluding improvements to the build infrastructure and build stability). For a complete list of all changes see: JIRA.
We highly recommend all users upgrade to Flink 1.15.2.
Flink Table Store is a data lake storage for streaming updates/deletes changelog ingestion and high-performance queries in real time.
As a new type of updatable data lake, Flink Table Store has the following features:
– Large throughput data ingestion while offering good query performance.
– High performance query with primary key filters, as fast as 100ms.
– Streaming reads are available on Lake Storage, lake storage can also be integrated with Kafka to provide second-level streaming reads.
Read on for the changes in both platforms.