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
