Thank you all for your invaluable feedback. - For the positive comments, it is encouraging to see such strong results in the tested areas. - For the negative comments, we have reviewed the relevant PRs and have merged several bug fixes and follow-ups into the branch-4.1.
I am concluding this RC1 vote as not passed, and will proceed to wrap up and prepare for the launch of Apache Spark 4.1.0 RC2 on 11/30. Happy Thanksgiving! Dongjoon Hyun. On 2025/11/25 22:45:20 "Rozov, Vlad" wrote: > +1 (non-binding) > > Thank you, > > Vlad > > On Nov 25, 2025, at 9:04 AM, Sandy Ryza <[email protected]> wrote: > > +1 (non-binding) > > Installed via `pip install > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc1-bin/pyspark-4.1.0.tar.gz` > and verified functionality of pyspark and spark-pipelines. > > On Sun, Nov 23, 2025 at 7:40 PM > <[email protected]<mailto:[email protected]>> wrote: > Please vote on releasing the following candidate as Apache Spark version > 4.1.0. > > The vote is open until Wed, 26 Nov 2025 20:40:01 PST and passes if a majority > +1 PMC votes are cast, with > a minimum of 3 +1 votes. > > [ ] +1 Release this package as Apache Spark 4.1.0 > [ ] -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 v4.1.0-rc1 (commit 2808b96a1b8): > https://github.com/apache/spark/tree/v4.1.0-rc1 > > The release files, including signatures, digests, etc. can be found at: > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-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-1506/ > > The documentation corresponding to this release can be found at: > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc1-docs/ > > The list of bug fixes going into 4.1.0 can be found at the following URL: > https://issues.apache.org/jira/projects/SPARK/versions/12355581 > > 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/v4.1.0-rc1-bin/pyspark-4.1.0.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]> > > > --------------------------------------------------------------------- To unsubscribe e-mail: [email protected]
