+1 (non-binding) On Fri, Feb 6, 2026 at 12:13 PM Wenchen Fan <[email protected]> wrote:
> +1 > > On Thu, Feb 5, 2026 at 11:54 PM huaxin gao <[email protected]> wrote: > >> +1 >> Thanks Hyukjin. >> >> On Thu, Feb 5, 2026 at 9:27 AM Dongjoon Hyun <[email protected]> wrote: >> >>> +1 >>> >>> Thank you always, Hyukjin. >>> >>> Dongjoon. >>> >>> On 2026/02/05 10:54:15 Hyukjin Kwon wrote: >>> > Starting with my own +1. >>> > >>> > On Thu, 5 Feb 2026 at 19:53, <[email protected]> wrote: >>> > >>> > > Please vote on releasing the following candidate as Apache Spark >>> version >>> > > 4.2.0-preview2. >>> > > >>> > > The vote is open until Sun, 08 Feb 2026 03:53:18 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 4.2.0-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 v4.2.0-preview2-rc1 (commit a2edb559299): >>> > > https://github.com/apache/spark/tree/v4.2.0-preview2-rc1 >>> > > >>> > > The release files, including signatures, digests, etc. can be found >>> at: >>> > > >>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-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-1515/ >>> > > >>> > > The documentation corresponding to this release can be found at: >>> > > >>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-preview2-rc1-docs/ >>> > > >>> > > The list of bug fixes going into 4.2.0-preview2 can be found at the >>> > > following URL: >>> > > https://issues.apache.org/jira/projects/SPARK/versions/12356380 >>> > > >>> > > 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/v4.2.0-preview2-rc1-bin/pyspark-4.2.0.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] >>> >>>
