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Posted to dev@spark.apache.org by Yuming Wang <wg...@gmail.com> on 2022/09/17 07:41:37 UTC
[VOTE] Release Spark 3.3.1 (RC1)
Please vote on releasing the following candidate as Apache Spark version
3.3.1.
The vote is open until 11:59pm Pacific time September 22th and passes if a
majority +1 PMC votes are cast, with a minimum of 3 +1 votes.
[ ] +1 Release this package as Apache Spark 3.3.1
[ ] -1 Do not release this package because ...
To learn more about Apache Spark, please see https://spark.apache.org
The tag to be voted on is v3.3.1-rc1 (commit
ea1a426a889626f1ee1933e3befaa975a2f0a072):
https://github.com/apache/spark/tree/v3.3.1-rc1
The release files, including signatures, digests, etc. can be found at:
https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-bin
Signatures used for Spark RCs can be found in this file:
https://dist.apache.org/repos/dist/dev/spark/KEYS
The staging repository for this release can be found at:
https://repository.apache.org/content/repositories/orgapachespark-1418
The documentation corresponding to this release can be found at:
https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-docs
The list of bug fixes going into 3.3.1 can be found at the following URL:
https://issues.apache.org/jira/projects/SPARK/versions/12351710
This release is using the release script of the tag v3.3.1-rc1.
FAQ
=========================
How can I help test this release?
=========================
If you are a Spark user, you can help us test this release by taking
an existing Spark workload and running on this release candidate, then
reporting any regressions.
If you're working in PySpark you can set up a virtual env and install
the current RC and see if anything important breaks, in the Java/Scala
you can add the staging repository to your projects resolvers and test
with the RC (make sure to clean up the artifact cache before/after so
you don't end up building with a out of date RC going forward).
===========================================
What should happen to JIRA tickets still targeting 3.3.1?
===========================================
The current list of open tickets targeted at 3.3.1 can be found at:
https://issues.apache.org/jira/projects/SPARK and search for "Target
Version/s" = 3.3.1
Committers should look at those and triage. Extremely important bug
fixes, documentation, and API tweaks that impact compatibility should
be worked on immediately. Everything else please retarget to an
appropriate release.
==================
But my bug isn't fixed?
==================
In order to make timely releases, we will typically not hold the
release unless the bug in question is a regression from the previous
release. That being said, if there is something which is a regression
that has not been correctly targeted please ping me or a committer to
help target the issue.
Re: [VOTE] Release Spark 3.3.1 (RC1)
Posted by Yuming Wang <wg...@gmail.com>.
Hi All,
The voting for Spark 3.3.1 RC1 has failed and I will prepare RC2 soon.
On Mon, Sep 19, 2022 at 8:53 AM Dongjoon Hyun <do...@gmail.com>
wrote:
> I also agree with Chao on that issue.
>
> SPARK-39833 landed at 3.3.1 and 3.2.3 to avoid a correctness issue at the
> cost of perf regression.
> Luckily, SPARK-40169 provided a correct fix and removed the main
> workaround code of SPARK-39833 before the official release.
>
> -1 for Apache Spark 3.3.1 RC1.
>
> Dongjoon.
>
>
> On Sun, Sep 18, 2022 at 10:08 AM Chao Sun <su...@apache.org> wrote:
>
>> It'd be really nice if we can include
>> https://issues.apache.org/jira/browse/SPARK-40169 in this release,
>> since otherwise it'll introduce a perf regression with Parquet column
>> index disabled.
>>
>> On Sat, Sep 17, 2022 at 2:08 PM Sean Owen <sr...@apache.org> wrote:
>> >
>> > +1 LGTM. I tested Scala 2.13 + Java 11 on Ubuntu 22.04. I get the same
>> results as usual.
>> >
>> > On Sat, Sep 17, 2022 at 2:42 AM Yuming Wang <wg...@gmail.com> wrote:
>> >>
>> >> Please vote on releasing the following candidate as Apache Spark
>> version 3.3.1.
>> >>
>> >> The vote is open until 11:59pm Pacific time September 22th and passes
>> if a majority +1 PMC votes are cast, with a minimum of 3 +1 votes.
>> >>
>> >> [ ] +1 Release this package as Apache Spark 3.3.1
>> >> [ ] -1 Do not release this package because ...
>> >>
>> >> To learn more about Apache Spark, please see https://spark.apache.org
>> >>
>> >> The tag to be voted on is v3.3.1-rc1 (commit
>> ea1a426a889626f1ee1933e3befaa975a2f0a072):
>> >> https://github.com/apache/spark/tree/v3.3.1-rc1
>> >>
>> >> The release files, including signatures, digests, etc. can be found at:
>> >> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-bin
>> >>
>> >> Signatures used for Spark RCs can be found in this file:
>> >> https://dist.apache.org/repos/dist/dev/spark/KEYS
>> >>
>> >> The staging repository for this release can be found at:
>> >> https://repository.apache.org/content/repositories/orgapachespark-1418
>> >>
>> >> The documentation corresponding to this release can be found at:
>> >> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-docs
>> >>
>> >> The list of bug fixes going into 3.3.1 can be found at the following
>> URL:
>> >> https://issues.apache.org/jira/projects/SPARK/versions/12351710
>> >>
>> >> This release is using the release script of the tag v3.3.1-rc1.
>> >>
>> >>
>> >> FAQ
>> >>
>> >> =========================
>> >> How can I help test this release?
>> >> =========================
>> >> If you are a Spark user, you can help us test this release by taking
>> >> an existing Spark workload and running on this release candidate, then
>> >> reporting any regressions.
>> >>
>> >> If you're working in PySpark you can set up a virtual env and install
>> >> the current RC and see if anything important breaks, in the Java/Scala
>> >> you can add the staging repository to your projects resolvers and test
>> >> with the RC (make sure to clean up the artifact cache before/after so
>> >> you don't end up building with a out of date RC going forward).
>> >>
>> >> ===========================================
>> >> What should happen to JIRA tickets still targeting 3.3.1?
>> >> ===========================================
>> >> The current list of open tickets targeted at 3.3.1 can be found at:
>> >> https://issues.apache.org/jira/projects/SPARK and search for "Target
>> Version/s" = 3.3.1
>> >>
>> >> Committers should look at those and triage. Extremely important bug
>> >> fixes, documentation, and API tweaks that impact compatibility should
>> >> be worked on immediately. Everything else please retarget to an
>> >> appropriate release.
>> >>
>> >> ==================
>> >> But my bug isn't fixed?
>> >> ==================
>> >> In order to make timely releases, we will typically not hold the
>> >> release unless the bug in question is a regression from the previous
>> >> release. That being said, if there is something which is a regression
>> >> that has not been correctly targeted please ping me or a committer to
>> >> help target the issue.
>> >>
>> >>
>>
>> ---------------------------------------------------------------------
>> To unsubscribe e-mail: dev-unsubscribe@spark.apache.org
>>
>>
Re: [VOTE] Release Spark 3.3.1 (RC1)
Posted by Dongjoon Hyun <do...@gmail.com>.
I also agree with Chao on that issue.
SPARK-39833 landed at 3.3.1 and 3.2.3 to avoid a correctness issue at the
cost of perf regression.
Luckily, SPARK-40169 provided a correct fix and removed the main workaround
code of SPARK-39833 before the official release.
-1 for Apache Spark 3.3.1 RC1.
Dongjoon.
On Sun, Sep 18, 2022 at 10:08 AM Chao Sun <su...@apache.org> wrote:
> It'd be really nice if we can include
> https://issues.apache.org/jira/browse/SPARK-40169 in this release,
> since otherwise it'll introduce a perf regression with Parquet column
> index disabled.
>
> On Sat, Sep 17, 2022 at 2:08 PM Sean Owen <sr...@apache.org> wrote:
> >
> > +1 LGTM. I tested Scala 2.13 + Java 11 on Ubuntu 22.04. I get the same
> results as usual.
> >
> > On Sat, Sep 17, 2022 at 2:42 AM Yuming Wang <wg...@gmail.com> wrote:
> >>
> >> Please vote on releasing the following candidate as Apache Spark
> version 3.3.1.
> >>
> >> The vote is open until 11:59pm Pacific time September 22th and passes
> if a majority +1 PMC votes are cast, with a minimum of 3 +1 votes.
> >>
> >> [ ] +1 Release this package as Apache Spark 3.3.1
> >> [ ] -1 Do not release this package because ...
> >>
> >> To learn more about Apache Spark, please see https://spark.apache.org
> >>
> >> The tag to be voted on is v3.3.1-rc1 (commit
> ea1a426a889626f1ee1933e3befaa975a2f0a072):
> >> https://github.com/apache/spark/tree/v3.3.1-rc1
> >>
> >> The release files, including signatures, digests, etc. can be found at:
> >> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-bin
> >>
> >> Signatures used for Spark RCs can be found in this file:
> >> https://dist.apache.org/repos/dist/dev/spark/KEYS
> >>
> >> The staging repository for this release can be found at:
> >> https://repository.apache.org/content/repositories/orgapachespark-1418
> >>
> >> The documentation corresponding to this release can be found at:
> >> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-docs
> >>
> >> The list of bug fixes going into 3.3.1 can be found at the following
> URL:
> >> https://issues.apache.org/jira/projects/SPARK/versions/12351710
> >>
> >> This release is using the release script of the tag v3.3.1-rc1.
> >>
> >>
> >> FAQ
> >>
> >> =========================
> >> How can I help test this release?
> >> =========================
> >> If you are a Spark user, you can help us test this release by taking
> >> an existing Spark workload and running on this release candidate, then
> >> reporting any regressions.
> >>
> >> If you're working in PySpark you can set up a virtual env and install
> >> the current RC and see if anything important breaks, in the Java/Scala
> >> you can add the staging repository to your projects resolvers and test
> >> with the RC (make sure to clean up the artifact cache before/after so
> >> you don't end up building with a out of date RC going forward).
> >>
> >> ===========================================
> >> What should happen to JIRA tickets still targeting 3.3.1?
> >> ===========================================
> >> The current list of open tickets targeted at 3.3.1 can be found at:
> >> https://issues.apache.org/jira/projects/SPARK and search for "Target
> Version/s" = 3.3.1
> >>
> >> Committers should look at those and triage. Extremely important bug
> >> fixes, documentation, and API tweaks that impact compatibility should
> >> be worked on immediately. Everything else please retarget to an
> >> appropriate release.
> >>
> >> ==================
> >> But my bug isn't fixed?
> >> ==================
> >> In order to make timely releases, we will typically not hold the
> >> release unless the bug in question is a regression from the previous
> >> release. That being said, if there is something which is a regression
> >> that has not been correctly targeted please ping me or a committer to
> >> help target the issue.
> >>
> >>
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: dev-unsubscribe@spark.apache.org
>
>
Re: [VOTE] Release Spark 3.3.1 (RC1)
Posted by Chao Sun <su...@apache.org>.
It'd be really nice if we can include
https://issues.apache.org/jira/browse/SPARK-40169 in this release,
since otherwise it'll introduce a perf regression with Parquet column
index disabled.
On Sat, Sep 17, 2022 at 2:08 PM Sean Owen <sr...@apache.org> wrote:
>
> +1 LGTM. I tested Scala 2.13 + Java 11 on Ubuntu 22.04. I get the same results as usual.
>
> On Sat, Sep 17, 2022 at 2:42 AM Yuming Wang <wg...@gmail.com> wrote:
>>
>> Please vote on releasing the following candidate as Apache Spark version 3.3.1.
>>
>> The vote is open until 11:59pm Pacific time September 22th and passes if a majority +1 PMC votes are cast, with a minimum of 3 +1 votes.
>>
>> [ ] +1 Release this package as Apache Spark 3.3.1
>> [ ] -1 Do not release this package because ...
>>
>> To learn more about Apache Spark, please see https://spark.apache.org
>>
>> The tag to be voted on is v3.3.1-rc1 (commit ea1a426a889626f1ee1933e3befaa975a2f0a072):
>> https://github.com/apache/spark/tree/v3.3.1-rc1
>>
>> The release files, including signatures, digests, etc. can be found at:
>> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-bin
>>
>> Signatures used for Spark RCs can be found in this file:
>> https://dist.apache.org/repos/dist/dev/spark/KEYS
>>
>> The staging repository for this release can be found at:
>> https://repository.apache.org/content/repositories/orgapachespark-1418
>>
>> The documentation corresponding to this release can be found at:
>> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-docs
>>
>> The list of bug fixes going into 3.3.1 can be found at the following URL:
>> https://issues.apache.org/jira/projects/SPARK/versions/12351710
>>
>> This release is using the release script of the tag v3.3.1-rc1.
>>
>>
>> FAQ
>>
>> =========================
>> How can I help test this release?
>> =========================
>> If you are a Spark user, you can help us test this release by taking
>> an existing Spark workload and running on this release candidate, then
>> reporting any regressions.
>>
>> If you're working in PySpark you can set up a virtual env and install
>> the current RC and see if anything important breaks, in the Java/Scala
>> you can add the staging repository to your projects resolvers and test
>> with the RC (make sure to clean up the artifact cache before/after so
>> you don't end up building with a out of date RC going forward).
>>
>> ===========================================
>> What should happen to JIRA tickets still targeting 3.3.1?
>> ===========================================
>> The current list of open tickets targeted at 3.3.1 can be found at:
>> https://issues.apache.org/jira/projects/SPARK and search for "Target Version/s" = 3.3.1
>>
>> Committers should look at those and triage. Extremely important bug
>> fixes, documentation, and API tweaks that impact compatibility should
>> be worked on immediately. Everything else please retarget to an
>> appropriate release.
>>
>> ==================
>> But my bug isn't fixed?
>> ==================
>> In order to make timely releases, we will typically not hold the
>> release unless the bug in question is a regression from the previous
>> release. That being said, if there is something which is a regression
>> that has not been correctly targeted please ping me or a committer to
>> help target the issue.
>>
>>
---------------------------------------------------------------------
To unsubscribe e-mail: dev-unsubscribe@spark.apache.org
Re: [VOTE] Release Spark 3.3.1 (RC1)
Posted by Sean Owen <sr...@apache.org>.
+1 LGTM. I tested Scala 2.13 + Java 11 on Ubuntu 22.04. I get the same
results as usual.
On Sat, Sep 17, 2022 at 2:42 AM Yuming Wang <wg...@gmail.com> wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 3.3.1.
>
> The vote is open until 11:59pm Pacific time September 22th and passes if a
> majority +1 PMC votes are cast, with a minimum of 3 +1 votes.
>
> [ ] +1 Release this package as Apache Spark 3.3.1
> [ ] -1 Do not release this package because ...
>
> To learn more about Apache Spark, please see https://spark.apache.org
>
> The tag to be voted on is v3.3.1-rc1 (commit
> ea1a426a889626f1ee1933e3befaa975a2f0a072):
> https://github.com/apache/spark/tree/v3.3.1-rc1
>
> The release files, including signatures, digests, etc. can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-bin
>
> Signatures used for Spark RCs can be found in this file:
> https://dist.apache.org/repos/dist/dev/spark/KEYS
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1418
>
> The documentation corresponding to this release can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-docs
>
> The list of bug fixes going into 3.3.1 can be found at the following URL:
> https://issues.apache.org/jira/projects/SPARK/versions/12351710
>
> This release is using the release script of the tag v3.3.1-rc1.
>
>
> FAQ
>
> =========================
> How can I help test this release?
> =========================
> If you are a Spark user, you can help us test this release by taking
> an existing Spark workload and running on this release candidate, then
> reporting any regressions.
>
> If you're working in PySpark you can set up a virtual env and install
> the current RC and see if anything important breaks, in the Java/Scala
> you can add the staging repository to your projects resolvers and test
> with the RC (make sure to clean up the artifact cache before/after so
> you don't end up building with a out of date RC going forward).
>
> ===========================================
> What should happen to JIRA tickets still targeting 3.3.1?
> ===========================================
> The current list of open tickets targeted at 3.3.1 can be found at:
> https://issues.apache.org/jira/projects/SPARK and search for "Target
> Version/s" = 3.3.1
>
> Committers should look at those and triage. Extremely important bug
> fixes, documentation, and API tweaks that impact compatibility should
> be worked on immediately. Everything else please retarget to an
> appropriate release.
>
> ==================
> But my bug isn't fixed?
> ==================
> In order to make timely releases, we will typically not hold the
> release unless the bug in question is a regression from the previous
> release. That being said, if there is something which is a regression
> that has not been correctly targeted please ping me or a committer to
> help target the issue.
>
>
>