+1 On Tue, Sep 2, 2025 at 8:38 AM Dongjoon Hyun <dongj...@apache.org> wrote:
> +1 > > Dongjoon > > On 2025/09/02 15:23:55 "L. C. Hsieh" wrote: > > +1 > > > > On Tue, Sep 2, 2025 at 6:08 AM Wenchen Fan <cloud0...@gmail.com> wrote: > > > > > > +1 > > > > > > On Tue, Sep 2, 2025 at 1:48 PM <dongj...@apache.org> wrote: > > >> > > >> Please vote on releasing the following candidate as Apache Spark > version 4.0.1. > > >> > > >> The vote is open until Fri, 05 Sep 2025 22:47:52 PDT and passes if a > majority +1 PMC votes are cast, with > > >> a minimum of 3 +1 votes. > > >> > > >> [ ] +1 Release this package as Apache Spark 4.0.1 > > >> [ ] -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 v4.0.1-rc1 (commit 29434ea766b): > > >> https://github.com/apache/spark/tree/v4.0.1-rc1 > > >> > > >> The release files, including signatures, digests, etc. can be found > at: > > >> https://dist.apache.org/repos/dist/dev/spark/v4.0.1-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-1501/ > > >> > > >> The documentation corresponding to this release can be found at: > > >> https://dist.apache.org/repos/dist/dev/spark/v4.0.1-rc1-docs/ > > >> > > >> The list of bug fixes going into 4.0.1 can be found at the following > URL: > > >> https://issues.apache.org/jira/projects/SPARK/versions/12355941 > > >> > > >> 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/v4.0.1-rc1-bin/pyspark-4.0.1.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 you don't end up building with an out of date RC going forward).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: dev-unsubscr...@spark.apache.org > > >> > > > > --------------------------------------------------------------------- > > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > > > > > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >
