+1 from me. Again, licenses and sigs look fine. I built the source distribution with "-Phive -Phadoop-2.7 -Pyarn -Pkubernetes" and all tests passed.
Remaining issues for 2.3.0, none of which are a Blocker: SPARK-22797 Add multiple column support to PySpark Bucketizer SPARK-23083 Adding Kubernetes as an option to https://spark.apache.org/ SPARK-23292 python tests related to pandas are skipped SPARK-23309 Spark 2.3 cached query performance 20-30% worse then spark 2.2 SPARK-23316 AnalysisException after max iteration reached for IN query ... though the pandas tests issue is "Critical". (SPARK-23083 is an update to the main site that should happen as the artifacts are released, so it's OK.) On Tue, Feb 13, 2018 at 12:30 AM Sameer Agarwal <samee...@apache.org> wrote: > Now that all known blockers have once again been resolved, please vote on > releasing the following candidate as Apache Spark version 2.3.0. The vote > is open until Friday February 16, 2018 at 8:00:00 am UTC and passes if a > majority of at least 3 PMC +1 votes are cast. > > > [ ] +1 Release this package as Apache Spark 2.3.0 > > [ ] -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 v2.3.0-rc3: > https://github.com/apache/spark/tree/v2.3.0-rc3 > (89f6fcbafcfb0a7aeb897fba6036cb085bd35121) > > List of JIRA tickets resolved in this release can be found here: > https://issues.apache.org/jira/projects/SPARK/versions/12339551 > > The release files, including signatures, digests, etc. can be found at: > https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc3-bin/ > > Release artifacts are signed with the following key: > 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-1264/ > > The documentation corresponding to this release can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc3-docs/_site/index.html > > > FAQ > > ======================================= > What are the unresolved issues targeted for 2.3.0? > ======================================= > > Please see https://s.apache.org/oXKi. At the time of writing, there are > currently no known release blockers. > > ========================= > 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 2.3.0? > =========================================== > > 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 2.3.1 or 2.4.0 as > appropriate. > > =================== > Why is my bug not fixed? > =================== > > In order to make timely releases, we will typically not hold the release > unless the bug in question is a regression from 2.2.0. That being said, if > there is something which is a regression from 2.2.0 and has not been > correctly targeted please ping me or a committer to help target the issue > (you can see the open issues listed as impacting Spark 2.3.0 at > https://s.apache.org/WmoI). > > > Regards, > Sameer >