Hi All, The voting for Spark 3.3.1 RC1 has failed and I will prepare RC2 soon.
On Mon, Sep 19, 2022 at 8:53 AM Dongjoon Hyun <dongjoon.h...@gmail.com> wrote: > I also agree with Chao on that issue. > > SPARK-39833 landed at 3.3.1 and 3.2.3 to avoid a correctness issue at the > cost of perf regression. > Luckily, SPARK-40169 provided a correct fix and removed the main > workaround code of SPARK-39833 before the official release. > > -1 for Apache Spark 3.3.1 RC1. > > Dongjoon. > > > On Sun, Sep 18, 2022 at 10:08 AM Chao Sun <sunc...@apache.org> wrote: > >> 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 >> >>
