Oh it's actually a test and also to release. Let me know if you have any concern!
On Fri, May 23, 2025 at 11:25 PM Mridul Muralidharan <mri...@gmail.com> wrote: > Hi Hyukjin, > > This thread is to test the automated release, right ? > Not to actually release it ? > > Regards, > Mridul > > On Fri, May 23, 2025 at 8:26 AM Ruifeng Zheng <ruife...@apache.org> wrote: > >> +1 >> >> On Fri, May 23, 2025 at 5:27 PM Hyukjin Kwon <gurwls...@apache.org> >> wrote: >> >>> Please vote on releasing the following candidate as Apache Spark version >>> 3.5.6. >>> >>> The vote is open until May 27 (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 3.5.6 >>> [ ] -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 v3.5.6-rc5 (commit >>> 303c18c74664f161b9b969ac343784c088b47593): >>> >>> https://github.com/apache/spark/tree/303c18c74664f161b9b969ac343784c088b47593 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.5.6-rc1-bin/ >>> >>> Signatures used for Spark RCs can be found in this file: >>> https://dist.apache.org/repos/dist/dev/spark/KEYS >>> >>> The staging repository for this release can be found at: >>> https://repository.apache.org/content/repositories/orgapachespark-1495/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.5.6-rc1-docs/ >>> >>> The list of bug fixes going into 3.5.6 can be found at the following URL: >>> https://issues.apache.org/jira/projects/SPARK/versions/12355703 >>> >>> 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/v3.5.6-rc1-bin/pyspark-3.5.6.tar.gz >>> " >>> and see if anything important breaks. >>> In the Java/Scala, you can add the staging repository to your projects >>> resolvers and test >>> with the RC (make sure to clean up the artifact cache before/after so >>> you don't end up building with a out of date RC going forward). >>> >>
