ASF board report draft for February

[Matei Zaharia <ma...@gmail.com>]

Hi all,

Our project board report needs to be submitted on Feb 12th, and I wanted to include anything notable going on that we want to appear in the board archive. Here is my draft below — let me know if you have suggestions to add or change things.

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Apache Spark is a fast and general engine for large-scale data processing. It offers high-level APIs in Java, Scala, Python and R as well as a rich set of libraries including stream processing, machine learning, and graph analytics.

Project status:

- We have cut a release branch for Apache Spark 3.0, which is now undergoing testing and bug fixes before the final release. In December, we also published a new preview release for the 3.0 branch that the community can use to test and give feedback: https://spark.apache.org/news/spark-3.0.0-preview2.html. Spark 3.0 includes a range of new features and dependency upgrades (e.g. Java 11) but remains largely compatible with Spark’s current API.

- We published Apache Spark 2.4.5 on Feb 8th with bug fixes for the 2.4 branch of Spark.

Trademarks:

- Nothing new to report in the past 3 months.

Latest releases:

- Spark 2.4.5 was released on Feb 8th, 2020.
- Spark 3.0.0-preview2 was released on Dec 23rd, 2019.
- Spark 3.0.0-preview was released on Nov 6th, 2019.
- Spark 2.3.4 was released on Sept 9th, 2019.

Committers and PMC:

- The latest PMC member was added on Sept 4th, 2019 (Dongjoon Hyun).
- The latest committer was added on Sept 9th, 2019 (Weichen Xu). We also added
 Ryan Blue, L.C. Hsieh, Gengliang Wang, Yuming Wang and Ruifeng Zheng as
 committers in the past three months.
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