Please vote on releasing the following candidate as Apache Spark version 1.0.0!
This patch has a few minor fixes on top of rc5. I've also built the binary artifacts with Hive support enabled so people can test this configuration. When we release 1.0 we might just release both vanilla and Hive-enabled binaries. The tag to be voted on is v1.0.0-rc6 (commit 54133a): https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=54133abdce0246f6643a1112a5204afb2c4caa82 The release files, including signatures, digests, etc. can be found at: http://people.apache.org/~pwendell/spark-1.0.0-rc6/ 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/orgapachestratos-1011 The documentation corresponding to this release can be found at: http://people.apache.org/~pwendell/spark-1.0.0-rc6-docs/ Please vote on releasing this package as Apache Spark 1.0.0! The vote is open until Saturday, May 17, at 20:58 UTC and passes if amajority of at least 3 +1 PMC votes are cast. [ ] +1 Release this package as Apache Spark 1.0.0 [ ] -1 Do not release this package because ... To learn more about Apache Spark, please see http://spark.apache.org/ == API Changes == We welcome users to compile Spark applications against 1.0. There are a few API changes in this release. Here are links to the associated upgrade guides - user facing changes have been kept as small as possible. changes to ML vector specification: http://people.apache.org/~pwendell/spark-1.0.0-rc5-docs/mllib-guide.html#from-09-to-10 changes to the Java API: http://people.apache.org/~pwendell/spark-1.0.0-rc5-docs/java-programming-guide.html#upgrading-from-pre-10-versions-of-spark changes to the streaming API: http://people.apache.org/~pwendell/spark-1.0.0-rc5-docs/streaming-programming-guide.html#migration-guide-from-091-or-below-to-1x changes to the GraphX API: http://people.apache.org/~pwendell/spark-1.0.0-rc5-docs/graphx-programming-guide.html#upgrade-guide-from-spark-091 coGroup and related functions now return Iterable[T] instead of Seq[T] ==> Call toSeq on the result to restore the old behavior SparkContext.jarOfClass returns Option[String] instead of Seq[String] ==> Call toSeq on the result to restore old behavior
