Re: [VOTE] Release Spark 3.1.0 (RC1)

[Hyukjin Kwon]

Seems like we have two PRs for both blockers, and one is already merged,
nice.
I will wait for a couple of days more before starting a new RC to make sure
we catch more regressions before the new RC.
Please keep testing this RC. I would appreciate it :-).

2021년 1월 6일 (수) 오후 2:28, Hyukjin Kwon 님이 작성:

> Actually, I will mark https://issues.apache.org/jira/browse/SPARK-34021
> as a blocker too. For CRAN submission, we should fix it.
>
> 2021년 1월 6일 (수) 오후 1:47, Jungtaek Lim 님이 작성:
>
>> There's an issue SPARK-33635 [1] reported due to performance regression
>> on Kafka read between Spark 2.4 vs 3.0, which sounds like a blocker. I'll
>> mark this as a blocker, unless anyone has different opinions.
>>
>> 1. https://issues.apache.org/jira/browse/SPARK-33635
>>
>> On Wed, Jan 6, 2021 at 9:01 AM Hyukjin Kwon  wrote:
>>
>>> Please vote on releasing the following candidate as Apache Spark version
>>> 3.1.0.
>>>
>>> The vote is open until January 8th 4PM PST and passes if a majority +1
>>> PMC votes are cast, with a minimum of 3 +1 votes.
>>>
>>> [ ] +1 Release this package as Apache Spark 3.1.0
>>> [ ] -1 Do not release this package because ...
>>>
>>> To learn more about Apache Spark, please see http://spark.apache.org/
>>>
>>> The tag to be voted on is v3.1.0-rc1 (commit
>>> 97340c1e34cfd84de445b6b7545cfa466a1baaf6):
>>> https://github.com/apache/spark/tree/v3.1.0-rc1
>>>
>>> The release files, including signatures, digests, etc. can be found at:
>>> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-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-1363/
>>>
>>> The documentation corresponding to this release can be found at:
>>> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-docs/
>>>
>>> The list of bug fixes going into 3.1.0 can be found at the following URL:
>>> https://s.apache.org/ldzzl
>>>
>>> This release is using the release script of the tag v3.1.0-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 via "pip install
>>> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-bin/pyspark-3.1.0.tar.gz
>>> "
>>> 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 an out of date RC going forward).
>>>
>>> ===
>>> What should happen to JIRA tickets still targeting 3.1.0?
>>> ===
>>>
>>> The current list of open tickets targeted at 3.1.0 can be found at:
>>> https://issues.apache.org/jira/projects/SPARK and search for "Target
>>> Version/s" = 3.1.0
>>>
>>> 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 3.1.0 (RC1)

[Hyukjin Kwon]

Actually, I will mark https://issues.apache.org/jira/browse/SPARK-34021 as
a blocker too. For CRAN submission, we should fix it.

2021년 1월 6일 (수) 오후 1:47, Jungtaek Lim 님이 작성:

> There's an issue SPARK-33635 [1] reported due to performance regression on
> Kafka read between Spark 2.4 vs 3.0, which sounds like a blocker. I'll mark
> this as a blocker, unless anyone has different opinions.
>
> 1. https://issues.apache.org/jira/browse/SPARK-33635
>
> On Wed, Jan 6, 2021 at 9:01 AM Hyukjin Kwon  wrote:
>
>> Please vote on releasing the following candidate as Apache Spark version
>> 3.1.0.
>>
>> The vote is open until January 8th 4PM PST and passes if a majority +1
>> PMC votes are cast, with a minimum of 3 +1 votes.
>>
>> [ ] +1 Release this package as Apache Spark 3.1.0
>> [ ] -1 Do not release this package because ...
>>
>> To learn more about Apache Spark, please see http://spark.apache.org/
>>
>> The tag to be voted on is v3.1.0-rc1 (commit
>> 97340c1e34cfd84de445b6b7545cfa466a1baaf6):
>> https://github.com/apache/spark/tree/v3.1.0-rc1
>>
>> The release files, including signatures, digests, etc. can be found at:
>> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-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-1363/
>>
>> The documentation corresponding to this release can be found at:
>> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-docs/
>>
>> The list of bug fixes going into 3.1.0 can be found at the following URL:
>> https://s.apache.org/ldzzl
>>
>> This release is using the release script of the tag v3.1.0-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 via "pip install
>> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-bin/pyspark-3.1.0.tar.gz
>> "
>> 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 an out of date RC going forward).
>>
>> ===
>> What should happen to JIRA tickets still targeting 3.1.0?
>> ===
>>
>> The current list of open tickets targeted at 3.1.0 can be found at:
>> https://issues.apache.org/jira/projects/SPARK and search for "Target
>> Version/s" = 3.1.0
>>
>> 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 3.1.0 (RC1)

[Jungtaek Lim]

There's an issue SPARK-33635 [1] reported due to performance regression on
Kafka read between Spark 2.4 vs 3.0, which sounds like a blocker. I'll mark
this as a blocker, unless anyone has different opinions.

1. https://issues.apache.org/jira/browse/SPARK-33635

On Wed, Jan 6, 2021 at 9:01 AM Hyukjin Kwon  wrote:

> Please vote on releasing the following candidate as Apache Spark version
> 3.1.0.
>
> The vote is open until January 8th 4PM PST and passes if a majority +1 PMC
> votes are cast, with a minimum of 3 +1 votes.
>
> [ ] +1 Release this package as Apache Spark 3.1.0
> [ ] -1 Do not release this package because ...
>
> To learn more about Apache Spark, please see http://spark.apache.org/
>
> The tag to be voted on is v3.1.0-rc1 (commit
> 97340c1e34cfd84de445b6b7545cfa466a1baaf6):
> https://github.com/apache/spark/tree/v3.1.0-rc1
>
> The release files, including signatures, digests, etc. can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-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-1363/
>
> The documentation corresponding to this release can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-docs/
>
> The list of bug fixes going into 3.1.0 can be found at the following URL:
> https://s.apache.org/ldzzl
>
> This release is using the release script of the tag v3.1.0-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 via "pip install
> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-bin/pyspark-3.1.0.tar.gz
> "
> 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 an out of date RC going forward).
>
> ===
> What should happen to JIRA tickets still targeting 3.1.0?
> ===
>
> The current list of open tickets targeted at 3.1.0 can be found at:
> https://issues.apache.org/jira/projects/SPARK and search for "Target
> Version/s" = 3.1.0
>
> 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.
>
>

[VOTE] Release Spark 3.1.0 (RC1)

[Hyukjin Kwon]

Please vote on releasing the following candidate as Apache Spark version
3.1.0.

The vote is open until January 8th 4PM PST and passes if a majority +1 PMC
votes are cast, with a minimum of 3 +1 votes.

[ ] +1 Release this package as Apache Spark 3.1.0
[ ] -1 Do not release this package because ...

To learn more about Apache Spark, please see http://spark.apache.org/

The tag to be voted on is v3.1.0-rc1 (commit
97340c1e34cfd84de445b6b7545cfa466a1baaf6):
https://github.com/apache/spark/tree/v3.1.0-rc1

The release files, including signatures, digests, etc. can be found at:
https://dist.apache.org/repos/dist/dev/spark/v3.1.0-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-1363/

The documentation corresponding to this release can be found at:
https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-docs/

The list of bug fixes going into 3.1.0 can be found at the following URL:
https://s.apache.org/ldzzl

This release is using the release script of the tag v3.1.0-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 via "pip install
https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-bin/pyspark-3.1.0.tar.gz
"
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 an out of date RC going forward).

===
What should happen to JIRA tickets still targeting 3.1.0?
===

The current list of open tickets targeted at 3.1.0 can be found at:
https://issues.apache.org/jira/projects/SPARK and search for "Target
Version/s" = 3.1.0

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.

Spark History UI Authentication through Azure Active Directory

[GSRIK]

Hello Team

I am implementing /javax.servlet.filter/ to enable Spark History UI
authentication through Azure Active Directory. I have added the following
configuration to SPARK_HISTORY_OPTS:

/spark.ui.filters=com.company.project.spark.history.AADAuthentication/ where
AADAuthentication is the class implementing /javax.servlet.filter/.

As none of the ServletContext's in SparkHistory have Session Management,
getting the session object from the request fails with below error:

/java.lang.IllegalStateException: No SessionManager/

Jetty (spark's integrated web server) supports enabling SessionManager but
is not enabled for SparkHistory UI.  Spark History UI + Keycloak Integration

  
topic explains on how to enable Session Management for SparkHistory UI
through a spark history configuration.

Can we please add this as a feature request ? I would like to submit a PR
with changes mentioned in the above topic ( SPARK-3168
   attempted to add the
mentioned changes but the PR was withdrawn).

Thanks and Regards
G Srikant



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