Hi All, Here are the results of voting for RC6.
+1: Wenchen Fan (*) Herman van Hovell (*) Gengliang Wang Sean Owen (*) Tom Graves (*) Mridul Muralidharan (*) Chris Nauroth Dongjoon Hyun (*) Yuming Wang Holden Karau (*) L. C. Hsieh (*) Cheng Su Chao Sun Martin Grigorov Peter Toth Max Gekk 8 (binding) + 8 (non-binding) voted for Spark 3.3.0 RC6. The vote passed *successfully*. Maxim Gekk Software Engineer Databricks, Inc. On Tue, Jun 14, 2022 at 2:40 PM Peter Toth <peter.t...@gmail.com> wrote: > +1 > > > Martin Grigorov <mgrigo...@apache.org> ezt írta (időpont: 2022. jún. 14., > K, 13:23): > >> Hi, >> >> [X] +1 Release this package as Apache Spark 3.3.0 >> >> Tested: >> - make local distribution from sources (with ./dev/make-distribution.sh >> --tgz --name with-volcano -Pkubernetes,volcano,hadoop-3) >> - create a Docker image (with JDK 11) >> - run Pi example on >> -- local >> -- Kubernetes with default scheduler >> -- Kubernetes with Volcano scheduler >> >> On both Linux x86_64 and aarch64 ! >> >> Regards, >> Martin >> >> On Fri, Jun 10, 2022 at 7:28 AM 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 June 14th 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-rc6 (commit >>> f74867bddfbcdd4d08076db36851e88b15e66556): >>> https://github.com/apache/spark/tree/v3.3.0-rc6 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc6-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-1407 >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc6-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-rc6. >>> >>> >>> 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. >>> >>
