The signatures and licenses look OK. Except for the missing k8s package, the contents look OK. Tests look pretty good with "-Phive -Phadoop-2.7 -Pyarn" on Ubuntu 17.10, except that KafkaContinuousSourceSuite seems to hang forever. That was just fixed and needs to get into an RC?
Aside from the Blockers just filed for R docs, etc., we have: Blocker: SPARK-23000 Flaky test suite DataSourceWithHiveMetastoreCatalogSuite in Spark 2.3 SPARK-23020 Flaky Test: org.apache.spark.launcher.SparkLauncherSuite.testInProcessLauncher SPARK-23051 job description in Spark UI is broken Critical: SPARK-22739 Additional Expression Support for Objects I actually don't think any of those Blockers should be Blockers; not sure if the last one is really critical either. I think this release will have to be re-rolled so I'd say -1 to RC1. On Fri, Jan 12, 2018 at 4:42 PM Sameer Agarwal <samee...@apache.org> wrote: > Please vote on releasing the following candidate as Apache Spark version > 2.3.0. The vote is open until Thursday January 18, 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-rc1: > https://github.com/apache/spark/tree/v2.3.0-rc1 > (964cc2e31b2862bca0bd968b3e9e2cbf8d3ba5ea) > > 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-rc1-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-1261/ > > The documentation corresponding to this release can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc1-docs/_site/index.html > > > 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 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 2.3.0 as > appropriate. > > ================== > 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 2.2.0. That being said, if > there is something which is a regression from 2.2.0 that 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). > > ======================================= > What are the unresolved issues targeted for 2.3.0? > ======================================= > > Please see https://s.apache.org/oXKi. At the time of the writing, there > are 19 JIRA issues targeting 2.3.0 tracking various QA/audit tasks, test > failures and other feature/bugs. In particular, we've currently marked 3 > JIRAs as release blockers that are being actively worked on: > > 1. SPARK-23051 that tracks a regression in the Spark UI > 2. SPARK-23020 and SPARK-23000 that track a couple of flaky tests that are > responsible for build failures. Additionally, > https://github.com/apache/spark/pull/20242 fixes a few Java linter errors > in RC1. > > Given that these blockers are fairly isolated, in the sprit of starting a > thorough QA early, this RC1 aims to serve as a good approximation of the > functionality of final release. > > Regards, > Sameer >