It'd be really nice if we can include https://issues.apache.org/jira/browse/SPARK-40169 in this release, since otherwise it'll introduce a perf regression with Parquet column index disabled.
On Sat, Sep 17, 2022 at 2:08 PM Sean Owen <sro...@apache.org> wrote: > > +1 LGTM. I tested Scala 2.13 + Java 11 on Ubuntu 22.04. I get the same > results as usual. > > On Sat, Sep 17, 2022 at 2:42 AM Yuming Wang <wgy...@gmail.com> wrote: >> >> Please vote on releasing the following candidate as Apache Spark version >> 3.3.1. >> >> The vote is open until 11:59pm Pacific time September 22th and passes if a >> majority +1 PMC votes are cast, with a minimum of 3 +1 votes. >> >> [ ] +1 Release this package as Apache Spark 3.3.1 >> [ ] -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 v3.3.1-rc1 (commit >> ea1a426a889626f1ee1933e3befaa975a2f0a072): >> https://github.com/apache/spark/tree/v3.3.1-rc1 >> >> The release files, including signatures, digests, etc. can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-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-1418 >> >> The documentation corresponding to this release can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v3.3.1-rc1-docs >> >> The list of bug fixes going into 3.3.1 can be found at the following URL: >> https://issues.apache.org/jira/projects/SPARK/versions/12351710 >> >> This release is using the release script of the tag v3.3.1-rc1. >> >> >> 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 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 you don't end up building with a out of date RC going forward). >> >> =========================================== >> What should happen to JIRA tickets still targeting 3.3.1? >> =========================================== >> The current list of open tickets targeted at 3.3.1 can be found at: >> https://issues.apache.org/jira/projects/SPARK and search for "Target >> Version/s" = 3.3.1 >> >> 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. >> >> --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org