+1 Dongjoon
On 2026/07/13 06:47:17 Cheng Pan wrote: > +1 (non-binding) > > Thanks, > Cheng Pan > > > > > On Jul 13, 2026, at 11:41, John Zhuge <[email protected]> wrote: > > > > +1 (non-binding) > > > > Verified signatures and checksums; pyspark 4.2.0 installs and imports fine. > > > > Thanks Huaxin! > > > > On Sun, Jul 12, 2026 at 5:50 PM Yuming Wang <[email protected] > > <mailto:[email protected]>> wrote: > >> +1 > >> > >> On Mon, Jul 13, 2026 at 5:27 AM Gengliang Wang <[email protected] > >> <mailto:[email protected]>> wrote: > >>> +1 > >>> > >>> On Sun, Jul 12, 2026 at 10:16 AM L. C. Hsieh <[email protected] > >>> <mailto:[email protected]>> wrote: > >>>> +1 > >>>> > >>>> On Sun, Jul 12, 2026 at 10:07 AM DB Tsai <[email protected] > >>>> <mailto:[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] > >>>>> <mailto:[email protected]>> wrote: > >>>>> +1 > >>>>> > >>>>> On Sun, Jul 12, 2026 at 2:56 PM Xiao Li <[email protected] > >>>>> <mailto:[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] <mailto:[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] > >>>>>>> <mailto:[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] > >>>>>>>> <mailto:[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 > > > > > > > > -- > > John Zhuge > > --------------------------------------------------------------------- To unsubscribe e-mail: [email protected]
