+1 from myself. On Wed, Mar 11, 2026 at 5:03 AM Holden Karau <[email protected]> wrote:
> +1 > > Twitter: https://twitter.com/holdenkarau > Fight Health Insurance: https://www.fighthealthinsurance.com/ > <https://www.fighthealthinsurance.com/?q=hk_email> > Books (Learning Spark, High Performance Spark, etc.): > https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> > YouTube Live Streams: https://www.youtube.com/user/holdenkarau > Pronouns: she/her > > > On Tue, Mar 10, 2026 at 12:07 PM Dongjoon Hyun <[email protected]> > wrote: > >> +1 >> >> Thank you, Hyukjin. >> >> Dongjoon. >> >> On 2026/03/10 04:15:15 [email protected] wrote: >> > Please vote on releasing the following candidate as Apache Spark >> version 4.2.0-preview3. >> > >> > The vote is open until Thu, 12 Mar 2026 22:15:14 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 4.2.0-preview3 >> > [ ] -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-preview3-rc1 (commit 9a4426f02e6): >> > https://github.com/apache/spark/tree/v4.2.0-preview3-rc1 >> > >> > The release files, including signatures, digests, etc. can be found at: >> > https://dist.apache.org/repos/dist/dev/spark/v4.2.0-preview3-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-1516/ >> > >> > The documentation corresponding to this release can be found at: >> > https://dist.apache.org/repos/dist/dev/spark/v4.2.0-preview3-rc1-docs/ >> > >> > The list of bug fixes going into 4.2.0-preview3 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-preview3-rc1-bin/pyspark-4.2.0.dev3.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] >> >>
