+1 Thanks, Anish
On Tue, Sep 2, 2025 at 8:42 AM huaxin gao <[email protected]> wrote: > +1 > > On Tue, Sep 2, 2025 at 8:38 AM Dongjoon Hyun <[email protected]> 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 <[email protected]> wrote: >> > > >> > > +1 >> > > >> > > On Tue, Sep 2, 2025 at 1:48 PM <[email protected]> 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: [email protected] >> > >> >> > >> > --------------------------------------------------------------------- >> > To unsubscribe e-mail: [email protected] >> > >> > >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: [email protected] >> >>
