Please vote on releasing the following candidate as Apache Spark version 3.0.0-preview.
The vote is open until November 3 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 3.0.0-preview
[ ] -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 v3.0.0-preview-rc2 (commit 007c873ae34f58651481ccba30e8e2ba38a692c4):
The release files, including signatures, digests, etc. can be found at:
Signatures used for Spark RCs can be found in this file:
The staging repository for this release can be found at:
The documentation corresponding to this release can be found at:
The list of bug fixes going into 3.0.0 can be found at the following URL:
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you don't end up building with an out of date RC going forward).
What should happen to JIRA tickets still targeting 3.0.0?
The current list of open tickets targeted at 3.0.0 can be found at:
https://issues.apache.org/jira/projects/SPARK and search for "Target Version/s" = 3.0.0
Committers should look at those and triage. Extremely important bug
fixes, documentation, and API tweaks that impact compatibility should
be worked on immediately.
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.