Thank you all. This vote passed. I'll conclude this vote. Dongjoon.
On 2025/11/19 13:31:30 Yang Jie wrote: > +1 > > On 2025/11/18 10:55:46 Cameron Scholes wrote: > > +1 (non-binding) > > > > On 18/11/2025 02:24, Kent Yao wrote: > > > +1 > > > > > > Kent Yao > > > > > > Kousuke Saruta<[email protected]> 于2025年11月18日周二 02:01写道： > > >> +1 > > >> > > >> 2025年11月18日(火) 2:13 L. C. Hsieh<[email protected]>: > > >>> +1 > > >>> > > >>> On Sun, Nov 16, 2025 at 1:03 PM<[email protected]> wrote: > > >>>> Please vote on releasing the following candidate as Apache Spark > > >>>> version 4.1.0-preview4. > > >>>> > > >>>> The vote is open until Wed, 19 Nov 2025 14:02:40 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-preview4 > > >>>> [ ] -1 Do not release this package because ... > > >>>> > > >>>> To learn more about Apache Spark, please seehttps://spark.apache.org/ > > >>>> > > >>>> The tag to be voted on is v4.1.0-preview4-rc1 (commit c125aea395b): > > >>>> https://github.com/apache/spark/tree/v4.1.0-preview4-rc1 > > >>>> > > >>>> The release files, including signatures, digests, etc. can be found at: > > >>>> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview4-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-1505/ > > >>>> > > >>>> The documentation corresponding to this release can be found at: > > >>>> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview4-rc1-docs/ > > >>>> > > >>>> The list of bug fixes going into 4.1.0-preview4 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 > > >>>> installhttps://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview4-rc1-bin/pyspark-4.1.0.dev4.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] > > >>> > > > --------------------------------------------------------------------- > > > To unsubscribe e-mail:[email protected] > > > > > --------------------------------------------------------------------- > To unsubscribe e-mail: [email protected] > > --------------------------------------------------------------------- To unsubscribe e-mail: [email protected]
