I'd like to see an RC2 as well. There is kind of a correctness bug fixed after RC1 is cut: https://github.com/apache/spark/pull/36468 Users may hit this bug much more frequently if they enable ANSI mode. It's not a regression so I'd vote -0.
On Wed, May 11, 2022 at 5:24 AM Thomas graves <tgra...@apache.org> wrote: > Is there going to be an rc2? I thought there were a couple of issue > mentioned in the thread. > > On Tue, May 10, 2022 at 11:53 AM Maxim Gekk > <maxim.g...@databricks.com.invalid> wrote: > > > > Hi All, > > > > Today is the last day for voting. Please, test the RC1 and vote. > > > > Maxim Gekk > > > > Software Engineer > > > > Databricks, Inc. > > > > > > > > On Sat, May 7, 2022 at 10:58 AM beliefer <belie...@163.com> wrote: > >> > >> > >> @Maxim Gekk Glad to hear that! > >> > >> But there is a bug https://github.com/apache/spark/pull/36457 > >> I think we should merge it into 3.3.0 > >> > >> > >> At 2022-05-05 19:00:27, "Maxim Gekk" <maxim.g...@databricks.com.INVALID> > wrote: > >> > >> Please vote on releasing the following candidate as Apache Spark > version 3.3.0. > >> > >> The vote is open until 11:59pm Pacific time May 10th and passes if a > majority +1 PMC votes are cast, with a minimum of 3 +1 votes. > >> > >> [ ] +1 Release this package as Apache Spark 3.3.0 > >> [ ] -1 Do not release this package because ... > >> > >> To learn more about Apache Spark, please see http://spark.apache.org/ > >> > >> The tag to be voted on is v3.3.0-rc1 (commit > 482b7d54b522c4d1e25f3e84eabbc78126f22a3d): > >> https://github.com/apache/spark/tree/v3.3.0-rc1 > >> > >> The release files, including signatures, digests, etc. can be found at: > >> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-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-1402 > >> > >> The documentation corresponding to this release can be found at: > >> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc1-docs/ > >> > >> The list of bug fixes going into 3.3.0 can be found at the following > URL: > >> https://issues.apache.org/jira/projects/SPARK/versions/12350369 > >> > >> This release is using the release script of the tag v3.3.0-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 3.3.0? > >> =========================================== > >> The current list of open tickets targeted at 3.3.0 can be found at: > >> https://issues.apache.org/jira/projects/SPARK and search for "Target > Version/s" = 3.3.0 > >> > >> 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. > >> > >> Maxim Gekk > >> > >> Software Engineer > >> > >> Databricks, Inc. > >> > >> > >> > >> > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >
