It’s time to send out our ASF board report again this Wednesday. Here is a draft — let me know if you have comments or 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: - The community decided that Apache Spark 3.5 will receive support and maintenance for 31 months, with an end-of-life date set for April 12, 2026. - We made four releases since last report: 1) Spark 3.5.2: Released on August 12, 2024. 2) Spark 3.5.3: Released on September 24, 2024. 3) Spark 4.0 Preview 2: Released on September 26, 2024. 4) Spark 3.4.4: Released on October 27, 2024. This will be the final maintenance release for the 3.4 series. - Votes to deprecate both SparkR and GraphX have passed. These components will officially be deprecated in Spark 4. - The vote for "Document and Feature Preview via GitHub Pages" passed. As a result, documentation for the master development branch is now available at https://apache.github.io/spark/. - The following other votes on development matters passed: 1) "Move Variant to Parquet" 2) "SPIP: Single-pass Analyzer for Catalyst" 3) "Archive Spark Documentations in Apache Archives" 4) "Using Github Issues for Spark-Connect-Go _only_ issues" Latest releases: - Spark 3.4.4 was released on Oct 27, 2024. - Spark 4.0 Preview 2 was released on Sept 26, 2024. - Spark 3.5.3 was released on Sept 24, 2024. Committers and PMC: - The latest committer was added on July 15, 2024 (Allison Wang). - The latest PMC member was added on Aug 8th, 2024 (Kent Yao). --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
