Hi all, Apache Spark 2.3.0 is the fourth major release in the 2.x line. This release adds support for continuous processing in structured streaming along with a brand new Kubernetes scheduler backend. Other major updates include the new data source and structured streaming v2 APIs, a standard image schema and built-in support for reading images, better custom Transformer support in Python and a number of PySpark performance enhancements. In addition, this release continues to focus on usability, stability, and polish while resolving around 1400 tickets.
We'd like to thank our contributors and users for their contributions and early feedback to this release. This release would not have been possible without you. To download Spark 2.3.0, head over to the download page: http://spark.apache.org/downloads.html To view the release notes: https://spark.apache.org/releases/spark-release-2-3-0.html Regards, Sameer PS: If you see any issues with the release notes, webpage or published artifacts, please contact me directly off-list
