Hi all, It’s time to submit our quarterly ASF board report again this Wednesday. I’ve put together the draft below. Let me know if you have any 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 are working on the release of Spark 3.3.0, with Release Candidate 1 currently being tested and voted on. - We released Apache Spark 3.1.3, a bug fix release for the 3.1 line, on February 18th. - We started publishing official Docker images of Apache Spark in Docker Hub, at https://hub.docker.com/r/apache/spark/tags - A new Spark Project Improvement Proposal (SPIP) is being discussed by the community to offer a simplified API for deep learning inference, including built-in integration with popular libraries such as Tensorflow, PyTorch and HuggingFace (https://issues.apache.org/jira/browse/SPARK-38648). Trademarks: - No changes since the last report. Latest releases: - Spark 3.1.3 was released on February 18, 2022. - Spark 3.2.1 was released on January 26, 2022. - Spark 3.2.0 was released on October 13, 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
