+1 (non-binding)

Verified Apache Spark 4.3.0 RC3 (tag v4.3.0-rc3, commit 98bc0212c94):

- Good GPG signatures and SHA512 sums on all artifacts (source, three binaries, 
the PySpark/SparkR tarballs) against KEYS.
- Source tarball matches the tag (no jars/classes), and RELEASE in all three 
binaries records the same commit.
- Built the source tarball with -Phive -Phive-thriftserver on JDK 17, got a 
clean BUILD SUCCESS across all 41 modules.
- Re-ran the test suites for the Blocker fixes since RC2 (SPARK-60508, 
SPARK-60497, SPARK-60376, etc.); all 840 tests pass.
- Ran quick smoke tests on JDK 17, 21 and 25: Java, Scala, SQL, PySpark and 
Spark Connect (Scala client); all look good.
- Checked that the RC2 API audit findings are fixed (ShuffleLocationResponse 
visibility, missing docs, @since metadata).
- Sanity-checked the binary dist (RELEASE, LICENSE/NOTICE/licenses all present) 
and ran dev/check-license; RAT passes.
- Checked the docs: site and API docs are up for 4.3.0, and the migration 
guides have 4.2 to 4.3 sections.

Thank you Jungtaek!

On 2026-10-27 03:35 UTC [email protected] wrote:
> Please vote on releasing the following candidate as Apache Spark version 
> 4.3.0.
> 
> The vote is open until Thu, 29 Oct 2026 21:35:11 PDT and passes if a majority 
> +1 PMC votes are cast, with
> a minimum of 3 +1 votes.
> 
> [ ] +1 Release this package as Apache Spark 4.3.0
> [ ] -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 v4.3.0-rc3 (commit 98bc0212c94):
> https://github.com/apache/spark/tree/v4.3.0-rc3
> 
> The release files, including signatures, digests, etc. can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-rc3-bin/
> 
> Signatures used for Spark RCs can be found in this file:
> https://downloads.apache.org/spark/KEYS
> 
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1542/
> 
> The documentation corresponding to this release can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-rc3-docs/
> 
> The list of bug fixes going into 4.3.0 can be found at the following URL:
> https://issues.apache.org/jira/projects/SPARK/versions/12356944
> 
> 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/v4.3.0-rc3-bin/pyspark-4.3.0.tar.gz";
> and see if anything important breaks.
> In the Java/Scala, you can add the staging repository to your project's 
> 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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> 
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