It’s time to send our quarterly report to the ASF board again this Wednesday. I’ve written the following draft for it — let me know if you want to add or change anything.
====================================== 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 3.2.1, a bug fix release for the 3.2 line, in January. - Two Spark Project Improvement Proposals (SPIPs) were recently accepted by the community: Support for Customized Kubernetes Schedulers and Storage Partitioned Join for Data Source V2. - We’ve migrated away from Spark’s original Jenkins CI/CD infrastructure, which was graciously hosted by UC Berkeley on their clusters since 2013, to GitHub Actions. Thanks to the Berkeley CS department for hosting this for so long! - We added a new committer, Yuanjian Li, in December 2021. - We added a new PMC member, Maciej Szymkiewicz, in January 2022. Trademarks: - No changes since the last report. Latest releases: - Spark 3.2.1 was released on January 26, 2022. - Spark 3.2.0 was released on October 13, 2021. - Spark 3.1.2 was released on June 23rd, 2021. Committers and PMC: - The latest committer was added on Dec 20th, 2021 (Yuanjian Li). - The latest PMC member was added on Jan 19th, 2022 (Maciej Szymkiewicz). ====================================== --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
