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From Xiao Li <lix...@databricks.com>
Subject Re: [VOTE] SPARK 3.0.0-preview (RC2)
Date Thu, 31 Oct 2019 23:09:03 GMT
Spark 3.0 will still use the Hadoop 2.7 profile by default, I think. Hadoop
2.7 profile is much more stable than Hadoop 3.2 profile.

On Thu, Oct 31, 2019 at 3:54 PM Sean Owen <srowen@gmail.com> wrote:

> This isn't a big thing, but I see that the pyspark build includes
> Hadoop 2.7 rather than 3.2. Maybe later we change the build to put in
> 3.2 by default.
>
> Otherwise, the tests all seems to pass with JDK 8 / 11 with all
> profiles enabled, so I'm +1 on it.
>
>
> On Thu, Oct 31, 2019 at 1:00 AM Xingbo Jiang <jiangxb1987@gmail.com>
> wrote:
> >
> > 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):
> > https://github.com/apache/spark/tree/v3.0.0-preview-rc2
> >
> > The release files, including signatures, digests, etc. can be found at:
> > https://dist.apache.org/repos/dist/dev/spark/v3.0.0-preview-rc2-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-1336/
> >
> > The documentation corresponding to this release can be found at:
> > https://dist.apache.org/repos/dist/dev/spark/v3.0.0-preview-rc2-docs/
> >
> > The list of bug fixes going into 3.0.0 can be found at the following URL:
> > https://issues.apache.org/jira/projects/SPARK/versions/12339177
> >
> > 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 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.
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: dev-unsubscribe@spark.apache.org
>
>

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