SPARK-6673 is not, in the end, relevant for 1.3.x I believe; we just
resolved it for 1.4 anyway. False alarm there.

I back-ported SPARK-6205 into the 1.3 branch for next time. We'll pick
it up if there's another RC, but by itself is not something that needs
a new RC. (I will give the same treatment to branch 1.2 if needed in
light of the 1.2.2 release.)

I applied the simple change in SPARK-6205 in order to continue
executing tests and all was well. I still see a few failures in Hive
tests:

- show_create_table_serde *** FAILED ***
- show_tblproperties *** FAILED ***
- udf_std *** FAILED ***
- udf_stddev *** FAILED ***

with ...

mvn -Phadoop-2.4 -Pyarn -Phive -Phive-0.13.1 -Dhadoop.version=2.6.0
-DskipTests clean package; mvn -Phadoop-2.4 -Pyarn -Phive
-Phive-0.13.1 -Dhadoop.version=2.6.0 test

... but these are not regressions from 1.3.0.

+1 from me at this point on the current artifacts.

On Sun, Apr 5, 2015 at 9:24 AM, Sean Owen <so...@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 <pwend...@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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