+1
2026年10月28日(水) 3:27 Szehon Ho <[email protected]>: > +1 (non binding) > > Checked signatures, checksum, basic smoke tests on the binary. > > On Tue, Oct 27, 2026 at 11:05 AM Holden Karau <[email protected]> > wrote: > >> +1 previous concerns have been resolved or we've decided to move them to >> a future version :) >> >> On Tue, Oct 27, 2026 at 11:03 AM Peter Toth <[email protected]> wrote: >> >>> +1 >>> >>> On Tue, Oct 27, 2026 at 5:47 PM Cheng Pan <[email protected]> wrote: >>> >>>> +1 (non-binding) >>>> >>>> Deployed to a Hadoop cluster (JDK 25, Hadoop 3.5.0) and run some >>>> queries, no issues found. >>>> >>>> Thanks, >>>> Cheng Pan >>>> >>>> On Wed, Oct 28, 2026 at 12:26 AM Gengliang Wang <[email protected]> >>>> wrote: >>>> > >>>> > +1 >>>> > >>>> > On Tue, Oct 27, 2026 at 2:19 AM Uroš Bojanić <[email protected]> wrote: >>>> >> >>>> >> +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). >>>> >> > >>>> >> > >>>> --------------------------------------------------------------------- >>>> >> > To unsubscribe e-mail: [email protected] >>>> >> > >>>> >> > >>>> >> >>>> >> --------------------------------------------------------------------- >>>> >> To unsubscribe e-mail: [email protected] >>>> >> >>>> >>>> --------------------------------------------------------------------- >>>> To unsubscribe e-mail: [email protected] >>>> >>>> >> >> -- >> Twitter: https://twitter.com/holdenkarau >> Fight Health Insurance: https://www.fighthealthinsurance.com/ >> <https://www.fighthealthinsurance.com/?q=hk_email> >> Books (Learning Spark, High Performance Spark, etc.): >> https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> >> YouTube Live Streams: https://www.youtube.com/user/holdenkarau >> Pronouns: she/her >> >
