+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] > >
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