+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 you don't end up building with an out of date RC going forward).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 >>>> >>>
