+1 Make-distrubtion works, and also tested simple spark jobs on Spark on Mesos on 8 node Mesos cluster.
Tim On Thu, Aug 28, 2014 at 8:53 PM, Burak Yavuz <bya...@stanford.edu> wrote: > +1. Tested MLlib algorithms on Amazon EC2, algorithms show speed-ups between > 1.5-5x compared to the 1.0.2 release. > > ----- Original Message ----- > From: "Patrick Wendell" <pwend...@gmail.com> > To: dev@spark.apache.org > Sent: Thursday, August 28, 2014 8:32:11 PM > Subject: Re: [VOTE] Release Apache Spark 1.1.0 (RC2) > > I'll kick off the vote with a +1. > > On Thu, Aug 28, 2014 at 7:14 PM, Patrick Wendell <pwend...@gmail.com> wrote: >> Please vote on releasing the following candidate as Apache Spark version >> 1.1.0! >> >> The tag to be voted on is v1.1.0-rc2 (commit 711aebb3): >> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=711aebb329ca28046396af1e34395a0df92b5327 >> >> The release files, including signatures, digests, etc. can be found at: >> http://people.apache.org/~pwendell/spark-1.1.0-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-1029/ >> >> The documentation corresponding to this release can be found at: >> http://people.apache.org/~pwendell/spark-1.1.0-rc2-docs/ >> >> Please vote on releasing this package as Apache Spark 1.1.0! >> >> The vote is open until Monday, September 01, at 03:11 UTC and passes if >> a majority of at least 3 +1 PMC votes are cast. >> >> [ ] +1 Release this package as Apache Spark 1.1.0 >> [ ] -1 Do not release this package because ... >> >> To learn more about Apache Spark, please see >> http://spark.apache.org/ >> >> == Regressions fixed since RC1 == >> LZ4 compression issue: https://issues.apache.org/jira/browse/SPARK-3277 >> >> == What justifies a -1 vote for this release? == >> This vote is happening very late into the QA period compared with >> previous votes, so -1 votes should only occur for significant >> regressions from 1.0.2. Bugs already present in 1.0.X will not block >> this release. >> >> == What default changes should I be aware of? == >> 1. The default value of "spark.io.compression.codec" is now "snappy" >> --> Old behavior can be restored by switching to "lzf" >> >> 2. PySpark now performs external spilling during aggregations. >> --> Old behavior can be restored by setting "spark.shuffle.spill" to "false". > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org > For additional commands, e-mail: dev-h...@spark.apache.org > > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org > For additional commands, e-mail: dev-h...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
