+1 Thanks Hyukjin! On Wed, Sep 24, 2025 at 10:53 AM huaxin gao <[email protected]> wrote:
> +1 Thanks Hyukjin for driving the release! > > On Wed, Sep 24, 2025 at 9:45 AM L. C. Hsieh <[email protected]> wrote: > >> +1 >> >> Thanks Hyukjin. >> >> On Wed, Sep 24, 2025 at 9:18 AM Dongjoon Hyun <[email protected]> >> wrote: >> > >> > +1 >> > >> > Thank you, Hyukjin. >> > >> > Dongjoon >> > >> > On 2025/09/24 12:48:48 Wenchen Fan wrote: >> > > +1 >> > > >> > > On Wed, Sep 24, 2025 at 7:29 PM <[email protected]> wrote: >> > > >> > > > Please vote on releasing the following candidate as Apache Spark >> version >> > > > 4.1.0-preview2. >> > > > >> > > > The vote is open until Sat, 27 Sep 2025 05:26:22 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 4.1.0-preview2 >> > > > [ ] -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 v4.1.0-preview2-rc1 (commit c5ff48cc2b2): >> > > > https://github.com/apache/spark/tree/v4.1.0-preview2-rc1 >> > > > >> > > > The release files, including signatures, digests, etc. can be found >> at: >> > > > >> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview2-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-1503/ >> > > > >> > > > The documentation corresponding to this release can be found at: >> > > > >> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview2-rc1-docs/ >> > > > >> > > > The list of bug fixes going into 4.1.0-preview2 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 install >> > > > >> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview2-rc1-bin/pyspark-4.1.0.dev2.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] >> >> -- John Zhuge
