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From Matei Zaharia <matei.zaha...@gmail.com>
Subject Re: [VOTE] Release Apache Spark 1.3.1 (RC2)
Date Wed, 08 Apr 2015 15:55:19 GMT
+1. Tested on Mac OS X and verified that some of the bugs were fixed.

Matei

> On Apr 8, 2015, at 7:13 AM, Sean Owen <sowen@cloudera.com> wrote:
> 
> Still a +1 from me; same result (except that now of course the
> UISeleniumSuite test does not fail)
> 
> On Wed, Apr 8, 2015 at 1:46 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-rc2 (commit 7c4473a):
>> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=7c4473aa5a7f5de0323394aaedeefbf9738e8eb5
>> 
>> 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-rc2/
>> 
>> 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-1083/
>> 
>> The documentation corresponding to this release can be found at:
>> http://people.apache.org/~pwendell/spark-1.3.1-rc2-docs/
>> 
>> The patches on top of RC1 are:
>> 
>> [SPARK-6737] Fix memory leak in OutputCommitCoordinator
>> https://github.com/apache/spark/pull/5397
>> 
>> [SPARK-6636] Use public DNS hostname everywhere in spark_ec2.py
>> https://github.com/apache/spark/pull/5302
>> 
>> [SPARK-6205] [CORE] UISeleniumSuite fails for Hadoop 2.x test with
>> NoClassDefFoundError
>> https://github.com/apache/spark/pull/4933
>> 
>> Please vote on releasing this package as Apache Spark 1.3.1!
>> 
>> The vote is open until Saturday, April 11, at 07:00 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/
>> 
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> 
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