+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
