-1. There is a regression: https://github.com/apache/spark/pull/36595
On Wed, May 18, 2022 at 4:11 PM Martin Grigorov <mgrigo...@apache.org> wrote: > 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 x86_64 and aarch64 ! > > Regards, > Martin > > > On Mon, May 16, 2022 at 3:44 PM 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 19th 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-rc2 (commit >> c8c657b922ac8fd8dcf9553113e11a80079db059): >> https://github.com/apache/spark/tree/v3.3.0-rc2 >> >> The release files, including signatures, digests, etc. can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc2-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-1403 >> >> The documentation corresponding to this release can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc2-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-rc2. >> >> >> 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. >> >
