+1 (binding) Verified on Linux (Ubuntu, JDK 17, Python 3.11):
- Signatures: every artifact (source, the three binary distributions, the pyspark/pyspark_client/pyspark_connect tarballs, and SparkR) has a good GPG signature from the RM key 709226B910E0F10917123B6259B586ADA5A538D1, which is in KEYS. - Checksums: SHA512 matches for all artifacts.- Tag/commit: v4.2.0-rc4 resolves to f92a807c06b, and the RELEASE metadata embedded in the binary distributions records the same git revision. - Source build: compiled and packaged spark-core and its module dependencies from the source tarball with ./build/mvn on JDK 17 (BUILD SUCCESS). - Binary distribution: ran SparkPi and a spark-shell Scala job (range aggregation + Spark SQL) — results correct. - PySpark: pip-installed pyspark-4.2.0.tar.gz and ran DataFrame, Spark SQL, and a Python UDF in local mode — results correct. Thanks Huaxin for driving the release! Xiao Uroš Bojanić <[email protected]> 于2026年6月29日周一 09:12写道： > +1 (non-binding) > > verified RC4 (tag v4.2.0-rc4, commit f92a807c06b) on macOS/arm64. > > - Good GPG signatures and SHA512 sums on all artifacts (source, three > binaries, the PySpark/SparkR tarballs) against KEYS. > - Built the full source tree from the tag with -Phive -Phive-thriftserver, > got a clean BUILD SUCCESS across all 39 modules. > - Ran quick smoke tests across every API surface: Java, Scala, SQL, and > PySpark job from the bundled distro; all look good. > - Sanity-checked the binary dist (RELEASE, LICENSE/NOTICE/licenses all > present) and ran dev/check-license; RAT passes. > - Diffed the docs against 4.1.0 and analyzed the changes (new pages, > migration guides and version refs); all look good. > > Thank you Huaxin Gao! > > On 2026/06/27 00:21:32 [email protected] wrote: > > Please vote on releasing the following candidate as Apache Spark version > 4.2.0. > > > > The vote is open until Mon, 29 Jun 2026 18:21:31 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 4.2.0 > > [ ] -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 v4.2.0-rc4 (commit f92a807c06b): > > https://github.com/apache/spark/tree/v4.2.0-rc4 > > > > The release files, including signatures, digests, etc. can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.2.0-rc4-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-1524/ > > > > The documentation corresponding to this release can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.2.0-rc4-docs/ > > > > The list of bug fixes going into 4.2.0 can be found at the following URL: > > https://issues.apache.org/jira/projects/SPARK/versions/12356380 > > > > 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/v4.2.0-rc4-bin/pyspark-4.2.0.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] > >
