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From Sean Owen <so...@cloudera.com>
Subject Re: [VOTE] Release Apache Spark 1.3.1
Date Sun, 05 Apr 2015 08:24:13 GMT
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
>
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