+1 (non-binding), I have checked:

- Download links are fine
- Signatures and integrities are fine
- Build from source
- run-example successfully with some example codes
- No block issues from my side
- Duplicated jars[1][2] found in both hive-jackson and examples/jars, the 
latter seems not necessary.

Thanks,
Kent Yao

[1] jackson-core-asl-1.9.13.jar
[2] jackson-mapper-asl-1.9.13.jar


On 2024/05/28 18:52:32 Wenchen Fan wrote:
> one correction: "The tag to be voted on is v4.0.0-preview1-rc2 (commit
> 7cfe5a6e44e8d7079ae29ad3e2cee7231cd3dc66)" should be "The tag to be voted
> on is v4.0.0-preview1-rc3 (commit
> 7a7a8bc4bab591ac8b98b2630b38c57adf619b82):"
> 
> On Tue, May 28, 2024 at 11:48 AM Wenchen Fan <cloud0...@gmail.com> wrote:
> 
> > Please vote on releasing the following candidate as Apache Spark version
> > 4.0.0-preview1.
> >
> > The vote is open until May 31 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 4.0.0-preview1
> > [ ] -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 v4.0.0-preview1-rc2 (commit
> > 7cfe5a6e44e8d7079ae29ad3e2cee7231cd3dc66):
> > https://github.com/apache/spark/tree/v4.0.0-preview1-rc3
> >
> > The release files, including signatures, digests, etc. can be found at:
> > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc3-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-1456/
> >
> > The documentation corresponding to this release can be found at:
> > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc3-docs/
> >
> > The list of bug fixes going into 4.0.0 can be found at the following URL:
> > https://issues.apache.org/jira/projects/SPARK/versions/12353359
> >
> > 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 an out of date RC going forward).
> >
> 

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