+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 you don't end up building with an out of date RC going forward).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] >> > > >> > > >> > >> >
