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From Denny Lee <denny.g....@gmail.com>
Subject Re: [VOTE] Release Apache Spark 1.3.1
Date Mon, 06 Apr 2015 05:40:43 GMT
+1 (non-binding)  Verified various DataFrame functions, Hive integration,
MLlib, etc. on OSX.

On Sun, Apr 5, 2015 at 9:16 PM Xiangrui Meng <mengxr@gmail.com> wrote:

> +1 Verified some MLlib bug fixes on OS X. -Xiangrui
>
> On Sun, Apr 5, 2015 at 1:24 AM, Sean Owen <sowen@cloudera.com> wrote:
> > Signatures and hashes are good.
> > LICENSE, NOTICE still check out.
> > Compiles for a Hadoop 2.6 + YARN + Hive profile.
> >
> > I still see the UISeleniumSuite test failure observed in 1.3.0, which
> > is minor and already fixed. I don't know why I didn't back-port it:
> > https://issues.apache.org/jira/browse/SPARK-6205
> >
> > If we roll another, let's get this easy fix in, but it is only an
> > issue with tests.
> >
> >
> > On JIRA, I checked open issues with Fix Version = 1.3.0 or 1.3.1 and
> > all look legitimate (e.g. reopened or in progress)
> >
> >
> > There is 1 open Blocker for 1.3.1 per Andrew:
> > https://issues.apache.org/jira/browse/SPARK-6673 spark-shell.cmd can't
> > start even when spark was built in Windows
> >
> > I believe this can be resolved quickly but as a matter of hygiene
> > should be fixed or demoted before release.
> >
> >
> > FYI there are 16 Critical issues marked for 1.3.0 / 1.3.1; worth
> > examining before release to see how critical they are:
> >
> > SPARK-6701,Flaky test: o.a.s.deploy.yarn.YarnClusterSuite Python
> > application,,Open,4/3/15
> > SPARK-6484,"Ganglia metrics xml reporter doesn't escape
> > correctly",Josh Rosen,Open,3/24/15
> > SPARK-6270,Standalone Master hangs when streaming job
> completes,,Open,3/11/15
> > SPARK-6209,ExecutorClassLoader can leak connections after failing to
> > load classes from the REPL class server,Josh Rosen,In Progress,4/2/15
> > SPARK-5113,Audit and document use of hostnames and IP addresses in
> > Spark,,Open,3/24/15
> > SPARK-5098,Number of running tasks become negative after tasks
> > lost,,Open,1/14/15
> > SPARK-4925,Publish Spark SQL hive-thriftserver maven artifact,Patrick
> > Wendell,Reopened,3/23/15
> > SPARK-4922,Support dynamic allocation for coarse-grained
> Mesos,,Open,3/31/15
> > SPARK-4888,"Spark EC2 doesn't mount local disks for i2.8xlarge
> > instances",,Open,1/27/15
> > SPARK-4879,Missing output partitions after job completes with
> > speculative execution,Josh Rosen,Open,3/5/15
> > SPARK-4751,Support dynamic allocation for standalone mode,Andrew
> > Or,Open,12/22/14
> > SPARK-4454,Race condition in DAGScheduler,Josh Rosen,Reopened,2/18/15
> > SPARK-4452,Shuffle data structures can starve others on the same
> > thread for memory,Tianshuo Deng,Open,1/24/15
> > SPARK-4352,Incorporate locality preferences in dynamic allocation
> > requests,,Open,1/26/15
> > SPARK-4227,Document external shuffle service,,Open,3/23/15
> > SPARK-3650,Triangle Count handles reverse edges incorrectly,,Open,2/23/15
> >
> > On Sun, Apr 5, 2015 at 1:09 AM, Patrick Wendell <pwendell@gmail.com>
> wrote:
> >> Please vote on releasing the following candidate as Apache Spark
> version 1.3.1!
> >>
> >> The tag to be voted on is v1.3.1-rc1 (commit 0dcb5d9f):
> >> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=
> 0dcb5d9f31b713ed90bcec63ebc4e530cbb69851
> >>
> >> The list of fixes present in this release can be found at:
> >> http://bit.ly/1C2nVPY
> >>
> >> The release files, including signatures, digests, etc. can be found at:
> >> http://people.apache.org/~pwendell/spark-1.3.1-rc1/
> >>
> >> 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-1080
> >>
> >> The documentation corresponding to this release can be found at:
> >> http://people.apache.org/~pwendell/spark-1.3.1-rc1-docs/
> >>
> >> Please vote on releasing this package as Apache Spark 1.3.1!
> >>
> >> The vote is open until Wednesday, April 08, at 01:10 UTC and passes
> >> if a majority of at least 3 +1 PMC votes are cast.
> >>
> >> [ ] +1 Release this package as Apache Spark 1.3.1
> >> [ ] -1 Do not release this package because ...
> >>
> >> To learn more about Apache Spark, please see
> >> http://spark.apache.org/
> >>
> >> - Patrick
> >>
> >> ---------------------------------------------------------------------
> >> To unsubscribe, e-mail: dev-unsubscribe@spark.apache.org
> >> For additional commands, e-mail: dev-help@spark.apache.org
> >>
> >
> > ---------------------------------------------------------------------
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> > For additional commands, e-mail: dev-help@spark.apache.org
> >
>
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>

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