+1 On Wed, May 21, 2025 at 8:27 AM Max Gekk <max.g...@gmail.com> wrote:
> +1 > > On Wed, May 21, 2025 at 8:22 AM Xiao Li <gatorsm...@gmail.com> wrote: > >> +1 >> >> L. C. Hsieh <vii...@gmail.com> 于2025年5月20日周二 08:52写道： >> >>> +1 >>> >>> On Mon, May 19, 2025 at 5:27 AM Wenchen Fan <cloud0...@gmail.com> wrote: >>> > >>> > Please vote on releasing the following candidate as Apache Spark >>> version 4.0.0. >>> > >>> > The vote is open until May 22 (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 4.0.0 >>> > [ ] -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 v4.0.0-rc7 (commit >>> fa33ea000a0bda9e5a3fa1af98e8e85b8cc5e4d4) >>> > https://github.com/apache/spark/tree/v4.0.0-rc7 >>> > >>> > The release files, including signatures, digests, etc. can be found at: >>> > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-rc7-bin/ >>> > >>> > Signatures used for Spark RCs can be found in this file: >>> > https://dist.apache.org/repos/dist/dev/spark/KEYS >>> > >>> > The staging repository for this release can be found at: >>> > >>> https://repository.apache.org/content/repositories/orgapachespark-1485/ >>> > >>> > The documentation corresponding to this release can be found at: >>> > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-rc7-docs/ >>> > >>> > The list of bug fixes going into 4.0.0 can be found at the following >>> URL: >>> > https://issues.apache.org/jira/projects/SPARK/versions/12353359 >>> > >>> > This release is using the release script of the tag v4.0.0-rc7. >>> > >>> > 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 and see if anything important breaks, in the Java/Scala >>> > you can add the staging repository to your projects resolvers and test >>> > with the RC (make sure to clean up the artifact cache before/after so >>> > you don't end up building with a out of date RC going forward). >>> >>> --------------------------------------------------------------------- >>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >>> >>>
