+1. Tested some MLlib example code. For default changes, maybe it is useful to mention the default broadcast factory changed to torrent.
On Wed, Sep 3, 2014 at 12:34 AM, Michael Armbrust <mich...@databricks.com> wrote: > +1 > > > On Wed, Sep 3, 2014 at 12:29 AM, Reynold Xin <r...@databricks.com> wrote: > >> +1 >> >> Tested locally on Mac OS X with local-cluster mode. >> >> >> >> >> On Wed, Sep 3, 2014 at 12:24 AM, Patrick Wendell <pwend...@gmail.com> >> wrote: >> >> > I'll kick it off with a +1 >> > >> > On Wed, Sep 3, 2014 at 12:24 AM, 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-rc4 (commit 2f9b2bd): >> > > >> > >> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 >> > > >> > > The release files, including signatures, digests, etc. can be found at: >> > > http://people.apache.org/~pwendell/spark-1.1.0-rc4/ >> > > >> > > 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-1031/ >> > > >> > > The documentation corresponding to this release can be found at: >> > > http://people.apache.org/~pwendell/spark-1.1.0-rc4-docs/ >> > > >> > > Please vote on releasing this package as Apache Spark 1.1.0! >> > > >> > > The vote is open until Saturday, September 06, at 08:30 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 RC3 == >> > > SPARK-3332 - Issue with tagging in EC2 scripts >> > > SPARK-3358 - Issue with regression for m3.XX instances >> > > >> > > == 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". >> > > >> > > 3. PySpark uses a new heuristic for determining the parallelism of >> > > shuffle operations. >> > > --> Old behavior can be restored by setting >> > > "spark.default.parallelism" to the number of cores in the cluster. >> > >> > --------------------------------------------------------------------- >> > 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
