+1
On Sun, 12 Jul 2026 at 21:20, huaxin gao <[email protected]> wrote: > +1 > > On Sun, Jul 12, 2026 at 10:18 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 3:58 PM <[email protected]> wrote: >> >>> Please vote on releasing the following candidate as Apache Spark version >>> 4.0.4. >>> >>> The vote is open until Wed, 15 Jul 2026 01:57:30 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 4.0.4 >>> [ ] -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 v4.0.4-rc1 (commit c7d67e3f5d4): >>> https://github.com/apache/spark/tree/v4.0.4-rc1 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.0.4-rc1-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-1528/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.0.4-rc1-docs/ >>> >>> The list of bug fixes going into 4.0.4 can be found at the following URL: >>> https://issues.apache.org/jira/projects/SPARK/versions/12357185 >>> >>> 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/v4.0.4-rc1-bin/pyspark-4.0.4.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 you don't end up building with an out of date RC going forward).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] >>> >>>
