It’s time to send our ASF board report again on May 10th. I’ve put together this draft — let me know whether to add anything else.
======================== Issues for the board: - None Project status: - We released Apache Spark 3.4 on April 13th, a feature release with over 2600 patches. This release introduces Python client for Spark Connect, augments Structured Streaming with async progress tracking and Python arbitrary stateful processing, increases Pandas API coverage and provides NumPy input support, simplifies the migration from traditional data warehouses to Apache Spark by improving ANSI compliance and implementing dozens of new built-in functions, and boosts development productivity and debuggability with memory profiling. - We made two patch releases: Spark 3.2.4 on April 13th and Spark 3.3.2 on February 17th. These have bug fixes to the corresponding branches of the project. - The PMC voted to add three new PMC members to the project (to be announced soon once they accept). Trademarks: - No changes since the last report. Latest releases: - Spark 3.4.0 was released on April 13, 2023 - Spark 3.2.4 on April 13, 2023 - Spark 3.3.2 on February 17, 2023 Committers and PMC: - The latest committer was added on Oct 2nd, 2022 (Yikun Jiang). - The latest PMC member was added on June 28th, 2022 (Huaxin Gao). ======================== --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
