+1 On Mon, Jun 8, 2026 at 9:54 AM Max Gekk <[email protected]> wrote:
> +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] >>>> > > >>>> > > >>>> > >>>> >>>
