+1 On Fri, May 23, 2025 at 10:15 AM Hyukjin Kwon <gurwls...@apache.org> wrote:
> 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). >>>> >>>
