+1, thank you, Haejoon Kent On 2024/09/11 06:12:19 Gengliang Wang wrote: > +1 > > On Mon, Sep 9, 2024 at 6:01 PM Wenchen Fan <cloud0...@gmail.com> wrote: > > > +1 > > > > On Tue, Sep 10, 2024 at 7:42 AM Rui Wang <rui.w...@databricks.com.invalid> > > wrote: > > > >> +1 (non-binding) > >> > >> > >> -Rui > >> > >> On Mon, Sep 9, 2024 at 4:22 PM Hyukjin Kwon <gurwls...@apache.org> wrote: > >> > >>> +1 > >>> > >>> On Tue, Sep 10, 2024 at 5:39 AM Haejoon Lee > >>> <haejoon....@databricks.com.invalid> wrote: > >>> > >>>> Hi, dev! > >>>> > >>>> Please vote on releasing the following candidate as Apache Spark > >>>> version 3.5.3 (RC3). > >>>> > >>>> The vote is open for next 72 hours, and passes if a majority +1 PMC > >>>> votes are cast, with a minimum of 3 +1 votes. > >>>> > >>>> [ ] +1 Release this package as Apache Spark 3.5.3 > >>>> [ ] -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 v3.5.3-rc3 (commit > >>>> 32232e9ed33bb16b93ad58cfde8b82e0f07c0970): > >>>> https://github.com/apache/spark/tree/v3.5.3-rc3 > >>>> > >>>> The release files, including signatures, digests, etc. can be found at: > >>>> https://dist.apache.org/repos/dist/dev/spark/v3.5.3-rc3-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-1467/ > >>>> > >>>> The documentation corresponding to this release can be found at: > >>>> https://dist.apache.org/repos/dist/dev/spark/v3.5.3-rc3-docs/ > >>>> > >>>> The list of bug fixes going into 3.5.3 can be found at the following > >>>> URL: > >>>> https://issues.apache.org/jira/projects/SPARK/versions/12354954 > >>>> > >>>> 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/v3.5.3-rc3-bin/pyspark-3.5.3.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 an out of date RC going forward). > >>>> > >>>> =========================================== > >>>> What should happen to JIRA tickets still targeting 3.5.3? > >>>> =========================================== > >>>> > >>>> The current list of open tickets targeted at 3.5.3 can be found at: > >>>> https://issues.apache.org/jira/projects/SPARK and search for > >>>> "Target Version/s" = 3.5.3 > >>>> > >>>> Committers should look at those and triage. Extremely important bug > >>>> fixes, documentation, and API tweaks that impact compatibility should > >>>> be worked on immediately. Everything else please retarget to an > >>>> appropriate release. > >>>> > >>>> ================== > >>>> But my bug isn't fixed? > >>>> ================== > >>>> > >>>> In order to make timely releases, we will typically not hold the > >>>> release unless the bug in question is a regression from the previous > >>>> release. That being said, if there is something which is a regression > >>>> that has not been correctly targeted please ping me or a committer to > >>>> help target the issue. > >>>> > >>>> Thanks! > >>>> Haejoon Lee > >>>> > >>> >
--------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
