+1 (non binding) On Tue, 30 Dec 2025 at 09:33, Kousuke Saruta <[email protected]> wrote:
> +1 (binding) > > 2025年12月30日(火) 23:00 Wenchen Fan <[email protected]>: > >> +1 (binding) >> >> On Tue, Dec 30, 2025 at 7:35 PM Kent Yao <[email protected]> wrote: >> >>> +1（binding） >>> >>> Kent >>> >>> On 2025/12/30 03:12:50 [email protected] wrote: >>> > Please vote on releasing the following candidate as Apache Spark >>> version 4.1.1. >>> > >>> > The vote is open until Thu, 01 Jan 2026 20:12:49 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 4.1.1 >>> > [ ] -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 v4.1.1-rc1 (commit 639216180c7): >>> > https://github.com/apache/spark/tree/v4.1.1-rc1 >>> > >>> > The release files, including signatures, digests, etc. can be found at: >>> > https://dist.apache.org/repos/dist/dev/spark/v4.1.1-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-1509/ >>> > >>> > The documentation corresponding to this release can be found at: >>> > https://dist.apache.org/repos/dist/dev/spark/v4.1.1-rc1-docs/ >>> > >>> > The list of bug fixes going into 4.1.1 can be found at the following >>> URL: >>> > https://issues.apache.org/jira/projects/SPARK/versions/12356469 >>> > >>> > 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/v4.1.1-rc1-bin/pyspark-4.1.1.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 you don't end up building with an out of date RC going forward).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] >>> > >>> > >>> >>> --------------------------------------------------------------------- >>> To unsubscribe e-mail: [email protected] >>> >>> -- Regards, Vaquar Khan
