Ur, Wenchen. Source distribution seems to fail by default.
https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc4-bin/spark-2.4.0.tgz $ dev/make-distribution.sh -Pyarn -Phadoop-2.7 -Pkinesis-asl -Phive -Phive-thriftserver ... + cp /spark-2.4.0/LICENSE-binary /spark-2.4.0/dist/LICENSE cp: /spark-2.4.0/LICENSE-binary: No such file or directory The root cause seems to be the following fix. https://github.com/apache/spark/pull/22436/files#diff-01ca42240614718522afde4d4885b40dR175 Although Apache Spark provides the binary distributions, it would be great if this succeeds out of the box. Bests, Dongjoon. On Mon, Oct 22, 2018 at 10:42 AM Wenchen Fan <cloud0...@gmail.com> wrote: > Please vote on releasing the following candidate as Apache Spark version > 2.4.0. > > The vote is open until October 26 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 2.4.0 > [ ] -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 v2.4.0-rc4 (commit > e69e2bfa486d8d3b9d203b96ca9c0f37c2b6cabe): > https://github.com/apache/spark/tree/v2.4.0-rc4 > > The release files, including signatures, digests, etc. can be found at: > https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc4-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-1290 > > The documentation corresponding to this release can be found at: > https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc4-docs/ > > The list of bug fixes going into 2.4.0 can be found at the following URL: > https://issues.apache.org/jira/projects/SPARK/versions/12342385 > > 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 you don't end up building with a out of date RC going forward).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 2.4.0? > =========================================== > > The current list of open tickets targeted at 2.4.0 can be found at: > https://issues.apache.org/jira/projects/SPARK and search for "Target > Version/s" = 2.4.0 > > 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. >
