Per https://github.com/apache/spark/pull/53654, I'll hold this vote off until we figure it out if we should fail the RC or not.
On Wed, Dec 31, 2025 at 12:46 AM vaquar khan <[email protected]> wrote: > +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 > >
