This vote is cancelled in favor of RC3, due to SPARK-6851. On Fri, Apr 10, 2015 at 1:38 PM, Michael Armbrust <mich...@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 <cjno...@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 <ksanka...@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 <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-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-unsubscr...@spark.apache.org >> > > For additional commands, e-mail: dev-h...@spark.apache.org >> > > >> > > >> > >>
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