In light of the discussion on SPARK-3333, I'll revoke my "-1" vote. The issue does not appear to be serious.
On Sun, Aug 31, 2014 at 5:14 PM, Nicholas Chammas < nicholas.cham...@gmail.com> wrote: > -1: I believe I've found a regression from 1.0.2. The report is captured > in SPARK-3333 <https://issues.apache.org/jira/browse/SPARK-3333>. > > > On Sat, Aug 30, 2014 at 6:07 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-rc3 (commit b2d0493b): >> >> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=b2d0493b223c5f98a593bb6d7372706cc02bebad >> >> The release files, including signatures, digests, etc. can be found at: >> http://people.apache.org/~pwendell/spark-1.1.0-rc3/ >> >> 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-1030/ >> >> The documentation corresponding to this release can be found at: >> http://people.apache.org/~pwendell/spark-1.1.0-rc3-docs/ >> >> Please vote on releasing this package as Apache Spark 1.1.0! >> >> The vote is open until Tuesday, September 02, at 23:07 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 == >> - Build issue for SQL support: >> https://issues.apache.org/jira/browse/SPARK-3234 >> - EC2 script version bump to 1.1.0. >> >> == 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 >> >> >
