+1 On Sun, Jul 12, 2026 at 2:56 PM Xiao Li <[email protected]> wrote:
> +1 > > - Verified sha512 + GPG signatures on all artifacts (good sig, Huaxin's > key 7092…38D1, present in the linked KEYS) > - Confirmed tag v4.2.0-rc6 = commit 32f72996011; binary distros embed the > same revision > - Built spark-core (+ module deps) from the source tarball with > ./build/mvn on JDK 17 — success > - Ran SparkPi + a spark-shell Scala job (range agg + Spark SQL) — correct > - pip-installed pyspark-4.2.0.tar.gz and ran DataFrame + Spark SQL + a > Python UDF — correct > - No open Blocker/Critical JIRAs for 4.2.0 > > Xiao > > Holden Karau <[email protected]> 于2026年7月11日周六 23:44写道： > >> +1 smoke test of pyspark and key signature of pyspark checked out, thanks >> for getting this out :) >> >> On Sat, Jul 11, 2026 at 11:59 AM <[email protected]> wrote: >> >>> Please vote on releasing the following candidate as Apache Spark version >>> 4.2.0. >>> >>> The vote is open until Tue, 14 Jul 2026 12:58:53 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-rc6 (commit 32f72996011): >>> https://github.com/apache/spark/tree/v4.2.0-rc6 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-rc6-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-1526/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-rc6-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-rc6-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] >>> >>> >> >> -- >> 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 >> >
