+1. - Checked checksums and signatures of artifacts. - Checked to have all binaries and maven repo. - Checked document generation (including a new change after RC2) - Build with `-Pyarn -Pmesos -Pkubernetes -Phive -Phive-thriftserver -Phadoop-2.6` on AdoptOpenJDK8_202. - Tested with both Scala-2.11/Scala-2.12 and both Python2/3. Python 2.7.15 with numpy 1.16.4, scipy 1.2.2, pandas 0.19.2, pyarrow 0.8.0 Python 3.6.4 with numpy 1.16.4, scipy 1.2.2, pandas 0.23.2, pyarrow 0.11.0 - Tested JDBC IT.
Bests, Dongjoon. On Tue, Aug 27, 2019 at 4:05 PM Dongjoon Hyun <dongjoon.h...@gmail.com> wrote: > Please vote on releasing the following candidate as Apache Spark version > 2.4.4. > > The vote is open until August 30th 5PM 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 2.4.4 > [ ] -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 v2.4.4-rc3 (commit > 7955b3962ac46b89564e0613db7bea98a1478bf2): > https://github.com/apache/spark/tree/v2.4.4-rc3 > > The release files, including signatures, digests, etc. can be found at: > https://dist.apache.org/repos/dist/dev/spark/v2.4.4-rc3-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-1332/ > > The documentation corresponding to this release can be found at: > https://dist.apache.org/repos/dist/dev/spark/v2.4.4-rc3-docs/ > > The list of bug fixes going into 2.4.4 can be found at the following URL: > https://issues.apache.org/jira/projects/SPARK/versions/12345466 > > This release is using the release script of the tag v2.4.4-rc3. > > 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 you don't end up building with a out of date RC going forward).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 2.4.4? > =========================================== > > The current list of open tickets targeted at 2.4.4 can be found at: > https://issues.apache.org/jira/projects/SPARK and search for "Target > Version/s" = 2.4.4 > > 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. >
