Thanks, good idea.
> On Feb 8, 2022, at 12:25 PM, Mich Talebzadeh <mich.talebza...@gmail.com>
> wrote:
>
> Hi,
>
> I believe it would be beneficial to provide the links to SPIPs mentioned in
> the report
>
> - Two Spark Project Improvement Proposals (SPIPs) were recently accepted by
> the community: namely; 1) Support for Customized Kubernetes Schedulers
> <https://docs.google.com/document/d/1xgQGRpaHQX6-QH_J9YV2C2Dh6RpXefUpLM7KGkzL6Fg>
> and 2) Storage Partitioned Join for Data Source V2
> <https://docs.google.com/document/d/1foTkDSM91VxKgkEcBMsuAvEjNybjja-uHk-r3vtXWFE/edit#heading=h.82w8qxfl2uwl>
>
> HTH
>
> view my Linkedin profile
> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>
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>
>
>
> On Tue, 8 Feb 2022 at 09:06, Matei Zaharia <matei.zaha...@gmail.com
> <mailto:matei.zaha...@gmail.com>> wrote:
> 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).
>
> ======================================
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