+1 Пн, 8 июня 2026 г. в 17:38, Peter Toth <[email protected]>:
> +1 > > On Mon, Jun 8, 2026 at 7:53 AM Kousuke Saruta <[email protected]> > wrote: > >> +1 >> >> >> 2026年6月8日(月) 14:34 Dongjoon Hyun <[email protected]>: >> >>> +1 >>> >>> Dongjoon >>> >>> On 2026/06/08 05:30:17 Kent Yao wrote: >>> > +1,binding >>> > >>> > Kent Yao >>> > >>> > <[email protected]> 于2026年6月8日周一 13:22写道： >>> > >>> > > Please vote on releasing the following candidate as Apache Spark >>> version >>> > > 4.0.3. >>> > > >>> > > The vote is open until Wed, 10 Jun 2026 23:22:26 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 4.0.3 >>> > > [ ] -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 v4.0.3-rc1 (commit 322ddd90b63): >>> > > https://github.com/apache/spark/tree/v4.0.3-rc1 >>> > > >>> > > The release files, including signatures, digests, etc. can be found >>> at: >>> > > https://dist.apache.org/repos/dist/dev/spark/v4.0.3-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-1520/ >>> > > >>> > > The documentation corresponding to this release can be found at: >>> > > https://dist.apache.org/repos/dist/dev/spark/v4.0.3-rc1-docs/ >>> > > >>> > > The list of bug fixes going into 4.0.3 can be found at the following >>> URL: >>> > > https://issues.apache.org/jira/projects/SPARK/versions/12356691 >>> > > >>> > > 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/v4.0.3-rc1-bin/pyspark-4.0.3.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] >>> > > >>> > > >>> > >>> >>
