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Posted to dev@spark.apache.org by Matei Zaharia <ma...@gmail.com> on 2022/02/08 09:05:19 UTC
ASF board report draft for February 2022
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-unsubscribe@spark.apache.org
Re: ASF board report draft for February 2022
Posted by Matei Zaharia <ma...@gmail.com>.
Thanks, good idea.
> On Feb 8, 2022, at 12:25 PM, Mich Talebzadeh <mi...@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/>
>
> Disclaimer: Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction.
>
>
>
> On Tue, 8 Feb 2022 at 09:06, Matei Zaharia <matei.zaharia@gmail.com <ma...@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).
>
> ======================================
> ---------------------------------------------------------------------
> To unsubscribe e-mail: dev-unsubscribe@spark.apache.org <ma...@spark.apache.org>
>
Re: ASF board report draft for February 2022
Posted by Mich Talebzadeh <mi...@gmail.com>.
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/>
*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.
On Tue, 8 Feb 2022 at 09:06, Matei Zaharia <ma...@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).
>
> ======================================
> ---------------------------------------------------------------------
> To unsubscribe e-mail: dev-unsubscribe@spark.apache.org
>
>