Seems like we have two PRs for both blockers, and one is already merged, nice. I will wait for a couple of days more before starting a new RC to make sure we catch more regressions before the new RC. Please keep testing this RC. I would appreciate it :-).
2021년 1월 6일 (수) 오후 2:28, Hyukjin Kwon <gurwls...@gmail.com>님이 작성: > Actually, I will mark https://issues.apache.org/jira/browse/SPARK-34021 > as a blocker too. For CRAN submission, we should fix it. > > 2021년 1월 6일 (수) 오후 1:47, Jungtaek Lim <kabhwan.opensou...@gmail.com>님이 작성: > >> There's an issue SPARK-33635 [1] reported due to performance regression >> on Kafka read between Spark 2.4 vs 3.0, which sounds like a blocker. I'll >> mark this as a blocker, unless anyone has different opinions. >> >> 1. https://issues.apache.org/jira/browse/SPARK-33635 >> >> On Wed, Jan 6, 2021 at 9:01 AM Hyukjin Kwon <gurwls...@gmail.com> wrote: >> >>> Please vote on releasing the following candidate as Apache Spark version >>> 3.1.0. >>> >>> The vote is open until January 8th 4PM PST and passes if a majority +1 >>> PMC votes are cast, with a minimum of 3 +1 votes. >>> >>> [ ] +1 Release this package as Apache Spark 3.1.0 >>> [ ] -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 v3.1.0-rc1 (commit >>> 97340c1e34cfd84de445b6b7545cfa466a1baaf6): >>> https://github.com/apache/spark/tree/v3.1.0-rc1 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-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-1363/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-docs/ >>> >>> The list of bug fixes going into 3.1.0 can be found at the following URL: >>> https://s.apache.org/ldzzl >>> >>> This release is using the release script of the tag v3.1.0-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 via "pip install >>> https://dist.apache.org/repos/dist/dev/spark/v3.1.0-rc1-bin/pyspark-3.1.0.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 3.1.0? >>> =========================================== >>> >>> The current list of open tickets targeted at 3.1.0 can be found at: >>> https://issues.apache.org/jira/projects/SPARK and search for "Target >>> Version/s" = 3.1.0 >>> >>> 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. >>> >>>