+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
