[RESULT] [VOTE] Release Apache Spark 1.3.1 (RC2)

[Patrick Wendell <pw...@gmail.com>]

This vote is cancelled in favor of RC3, due to SPARK-6851.

On Fri, Apr 10, 2015 at 1:38 PM, Michael Armbrust
<mi...@databricks.com> wrote:
> -1 (binding)
>
> We just were alerted to a pretty serious regression since 1.3.0 (
> https://issues.apache.org/jira/browse/SPARK-6851).  Should have a fix
> shortly.
>
> Michael
>
> On Fri, Apr 10, 2015 at 6:10 AM, Corey Nolet <cj...@gmail.com> wrote:
>
>> +1 (non-binding)
>>
>> - Verified signatures
>> - built on Mac OSX
>> - built on Fedora 21
>>
>> All builds were done using profiles: hive, hive-thriftserver, hadoop-2.4,
>> yarn
>>
>> +1 tested ML-related items on Mac OS X
>>
>> On Wed, Apr 8, 2015 at 7:59 PM, Krishna Sankar <ks...@gmail.com>
>> wrote:
>>
>> > +1 (non-binding, of course)
>> >
>> > 1. Compiled OSX 10.10 (Yosemite) OK Total time: 14:16 min
>> >      mvn clean package -Pyarn -Dyarn.version=2.6.0 -Phadoop-2.4
>> > -Dhadoop.version=2.6.0 -Phive -DskipTests -Dscala-2.11
>> > 2. Tested pyspark, mlib - running as well as compare results with 1.3.0
>> >    pyspark works well with the new iPython 3.0.0 release
>> > 2.1. statistics (min,max,mean,Pearson,Spearman) OK
>> > 2.2. Linear/Ridge/Laso Regression OK
>> > 2.3. Decision Tree, Naive Bayes OK
>> > 2.4. KMeans OK
>> >        Center And Scale OK
>> > 2.5. RDD operations OK
>> >       State of the Union Texts - MapReduce, Filter,sortByKey (word count)
>> > 2.6. Recommendation (Movielens medium dataset ~1 M ratings) OK
>> >        Model evaluation/optimization (rank, numIter, lambda) with
>> itertools
>> > OK
>> > 3. Scala - MLlib
>> > 3.1. statistics (min,max,mean,Pearson,Spearman) OK
>> > 3.2. LinearRegressionWithSGD OK
>> > 3.3. Decision Tree OK
>> > 3.4. KMeans OK
>> > 3.5. Recommendation (Movielens medium dataset ~1 M ratings) OK
>> > 4.0. Spark SQL from Python OK
>> > 4.1. result = sqlContext.sql("SELECT * from people WHERE State = 'WA'")
>> OK
>> >
>> > On Tue, Apr 7, 2015 at 10:46 PM, Patrick Wendell <pw...@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/
>> > >
>> > > ---------------------------------------------------------------------
>> > > To unsubscribe, e-mail: dev-unsubscribe@spark.apache.org
>> > > For additional commands, e-mail: dev-help@spark.apache.org
>> > >
>> > >
>> >
>>

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