+1 On Sun, Jul 12, 2026 at 10:16 AM L. C. Hsieh <[email protected]> wrote:
> +1 > > On Sun, Jul 12, 2026 at 10:07 AM DB Tsai <[email protected]> wrote: > >> +1 >> >> >> DB Tsai | https://www.dbtsai.com/ | PGP 0x9FB9FAA3 >> >> >> -------- Original Message -------- >> On Sunday, 07/12/26 at 09:26 Wenchen Fan <[email protected]> wrote: >> >> +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 >>>> >>>
