+1
See note

Tested build from source and running tests.
Also tested SparkR basic - ran more tests in RC1 and checked there was no 
change in R since. So I’m ok with that.

Note:
1. Opened https://issues.apache.org/jira/browse/SPARK-26855 on the 
SparkSubmitSuite failure - (thanks to Sean’s tip) I don’t think it’s blocker.

2. Ran into a failure in HiveExternalCatalogVersionsSuite. But passed the 2nd 
ran (How reliable is archive.apache? It failed for
me before)
WARN org.apache.spark.sql.hive.HiveExternalCatalogVersionsSuite: Failed to 
download Spark 2.3.2 from 
https://archive.apache.org/dist/spark/spark-2.3.2/spark-2.3.2-bin-hadoop2.7.tgz:
 Socket closed
org.apache.spark.sql.hive.HiveExternalCatalogVersionsSuite *** ABORTED ***
Exception encountered when invoking run on a nested suite - Unable to download 
Spark 2.3.2 (HiveExternalCatalogVersionsSuite.scala:97)

3. There are a fair bit of changes in Python and SQL - someone should test that

4. Last time k8s integration tests is broken before it isn’t built by default. 
Could someone test with -Pkubernetes -Pkubernetes-integration-tests

SPARK-26482 broke the integration tests


________________________________
From: John Zhuge <jzh...@apache.org>
Sent: Saturday, February 9, 2019 6:25 PM
To: Felix Cheung
Cc: Takeshi Yamamuro; Spark dev list
Subject: Re: [VOTE] Release Apache Spark 2.3.3 (RC2)

Not me. I am running zulu8, maven, and hadoop-2.7.

On Sat, Feb 9, 2019 at 5:42 PM Felix Cheung 
<felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>> wrote:
One test in SparkSubmitSuite is consistently failing for me. Anyone seeing that?


________________________________
From: Takeshi Yamamuro <linguin....@gmail.com<mailto:linguin....@gmail.com>>
Sent: Saturday, February 9, 2019 5:25 AM
To: Spark dev list
Subject: Re: [VOTE] Release Apache Spark 2.3.3 (RC2)

Sorry, but I forgot to check ` -Pdocker-integration-tests` for the JDBC 
integration tests.
I run these tests, and then I checked if they are passed.

On Sat, Feb 9, 2019 at 5:26 PM Herman van Hovell 
<her...@databricks.com<mailto:her...@databricks.com>> wrote:
I count 2 binding votes :)...

Op vr 8 feb. 2019 om 22:36 schreef Felix Cheung 
<felixcheun...@hotmail.com<mailto:felixcheun...@hotmail.com>>
Nope, still only 1 binding vote ;)


________________________________
From: Mark Hamstra <m...@clearstorydata.com<mailto:m...@clearstorydata.com>>
Sent: Friday, February 8, 2019 7:30 PM
To: Marcelo Vanzin
Cc: Takeshi Yamamuro; Spark dev list
Subject: Re: [VOTE] Release Apache Spark 2.3.3 (RC2)

There are 2. C'mon Marcelo, you can make it 3!

On Fri, Feb 8, 2019 at 5:03 PM Marcelo Vanzin <van...@cloudera.com.invalid> 
wrote:
Hi Takeshi,

Since we only really have one +1 binding vote, do you want to extend
this vote a bit?

I've been stuck on a few things but plan to test this (setting things
up now), but it probably won't happen before the deadline.

On Tue, Feb 5, 2019 at 5:07 PM Takeshi Yamamuro 
<linguin....@gmail.com<mailto:linguin....@gmail.com>> wrote:
>
> Please vote on releasing the following candidate as Apache Spark version 
> 2.3.3.
>
> The vote is open until February 8 6:00PM (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 2.3.3
> [ ] -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 v2.3.3-rc2 (commit 
> 66fd9c34bf406a4b5f86605d06c9607752bd637a):
> https://github.com/apache/spark/tree/v2.3.3-rc2
>
> The release files, including signatures, digests, etc. can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v2.3.3-rc2-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-1298/
>
> The documentation corresponding to this release can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v2.3.3-rc2-docs/
>
> The list of bug fixes going into 2.3.3 can be found at the following URL:
> https://issues.apache.org/jira/projects/SPARK/versions/12343759
>
> 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 2.3.3?
> ===========================================
>
> The current list of open tickets targeted at 2.3.3 can be found at:
> https://issues.apache.org/jira/projects/SPARK and search for "Target 
> Version/s" = 2.3.3
>
> 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.
>
> P.S.
> I checked all the tests passed in the Amazon Linux 2 AMI;
> $ java -version
> openjdk version "1.8.0_191"
> OpenJDK Runtime Environment (build 1.8.0_191-b12)
> OpenJDK 64-Bit Server VM (build 25.191-b12, mixed mode)
> $ ./build/mvn -Pyarn -Phadoop-2.7 -Phive -Phive-thriftserver -Pmesos -Psparkr 
> test
>
> --
> ---
> Takeshi Yamamuro



--
Marcelo

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