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From Reynold Xin <r...@databricks.com>
Subject Re: [VOTE] Apache Spark 2.1.0 (RC5)
Date Fri, 16 Dec 2016 05:44:42 GMT
I'm going to start this with a +1!


On Thu, Dec 15, 2016 at 9:42 PM, Shivaram Venkataraman <
shivaram@eecs.berkeley.edu> wrote:

> In addition to usual binary artifacts, this is the first release where
> we have installable packages for Python [1] and R [2] that are part of
> the release.  I'm including instructions to test the R package below.
> Holden / other Python developers can chime in if there are special
> instructions to test the pip package.
>
> To test the R source package you can follow the following commands.
> 1. Download the SparkR source package from
> http://people.apache.org/~pwendell/spark-releases/spark-
> 2.1.0-rc5-bin/SparkR_2.1.0.tar.gz
> 2. Install the source package with R CMD INSTALL SparkR_2.1.0.tar.gz
> 3. As the SparkR package doesn't contain Spark JARs (this is due to
> package size limits from CRAN), we'll need to run [3]
> export SPARKR_RELEASE_DOWNLOAD_URL="http://people.apache.org/~
> pwendell/spark-releases/spark-2.1.0-rc5-bin/spark-2.1.0-bin-hadoop2.6.tgz"
> 4. Launch R. You can now use include SparkR with `library(SparkR)` and
> test it with your applications.
> 5. Note that the first time a SparkSession is created the binary
> artifacts will the downloaded.
>
> Thanks
> Shivaram
>
> [1] https://issues.apache.org/jira/browse/SPARK-18267
> [2] https://issues.apache.org/jira/browse/SPARK-18590
> [3] Note that this isn't required once 2.1.0 has been released as
> SparkR can automatically resolve and download releases.
>
> On Thu, Dec 15, 2016 at 9:16 PM, Reynold Xin <rxin@databricks.com> wrote:
> > Please vote on releasing the following candidate as Apache Spark version
> > 2.1.0. The vote is open until Sun, December 18, 2016 at 21:30 PT and
> passes
> > if a majority of at least 3 +1 PMC votes are cast.
> >
> > [ ] +1 Release this package as Apache Spark 2.1.0
> > [ ] -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 v2.1.0-rc5
> > (cd0a08361e2526519e7c131c42116bf56fa62c76)
> >
> > List of JIRA tickets resolved are:
> > https://issues.apache.org/jira/issues/?jql=project%20%
> 3D%20SPARK%20AND%20fixVersion%20%3D%202.1.0
> >
> > The release files, including signatures, digests, etc. can be found at:
> > http://home.apache.org/~pwendell/spark-releases/spark-2.1.0-rc5-bin/
> >
> > Release artifacts are signed with the following key:
> > https://people.apache.org/keys/committer/pwendell.asc
> >
> > The staging repository for this release can be found at:
> > https://repository.apache.org/content/repositories/orgapachespark-1223/
> >
> > The documentation corresponding to this release can be found at:
> > http://people.apache.org/~pwendell/spark-releases/spark-2.1.0-rc5-docs/
> >
> >
> > 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.
> >
> > What should happen to JIRA tickets still targeting 2.1.0?
> >
> > 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 2.1.1 or 2.2.0.
> >
> > What happened to RC3/RC5?
> >
> > They had issues withe release packaging and as a result were skipped.
> >
>

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