It’s time to send our quarterly report to the ASF board on Wednesday. Here is a draft, let me know if you have suggestions:
======================= Description: Apache Spark is a fast and general purpose engine for large-scale data processing. It offers high-level APIs in Java, Scala, Python, R and SQL as well as a rich set of libraries including stream processing, machine learning, and graph analytics. Issues for the board: - None Project status: - We released Apache Spark 3.3.1, a bug fix release for the 3.3 line, on October 25th. - The vote on the Spark Project Improvement Proposal (SPIP) for "Support Docker Official Image for Spark" passed. We created a new Github repository https://github.com/apache/spark-docker for building the official Docker image. - We decided to drop the Apache Spark Hadoop 2 binary distribution in future releases. - We added a new committer, Yikun Jiang, in October 2022. Trademarks: - No changes since the last report. Latest releases: - Spark 3.3.1 was released on Oct 25, 2022. - Spark 3.3.0 was released on June 16, 2022. - Spark 3.2.2 was released on July 17, 2022. 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
