Sorry for the duplication, but I think this is the current VOTE candidate -- we're not voting on rc8 yet?
+1, but just barely. We've got quite a number of outstanding bugs identified, and many of them have fixes in progress. I'd hate to see those efforts get lost in a post-1.0.0 flood of new features targeted at 1.1.0 -- in other words, I'd like to see 1.0.1 retain a high priority relative to 1.1.0. Looking through the unresolved JIRAs, it doesn't look like any of the identified bugs are show-stoppers or strictly regressions (although I will note that one that I have in progress, SPARK-1749, is a bug that we introduced with recent work -- it's not strictly a regression because we had equally bad but different behavior when the DAGScheduler exceptions weren't previously being handled at all vs. being slightly mis-handled now), so I'm not currently seeing a reason not to release. On Fri, May 16, 2014 at 11:42 AM, Henry Saputra <henry.sapu...@gmail.com>wrote: > Ah ok, thanks Aaron > > Just to make sure we VOTE the right RC. > > Thanks, > > Henry > > On Fri, May 16, 2014 at 11:37 AM, Aaron Davidson <ilike...@gmail.com> > wrote: > > It was, but due to the apache infra issues, some may not have received > the > > email yet... > > > > On Fri, May 16, 2014 at 10:48 AM, Henry Saputra <henry.sapu...@gmail.com > > > > wrote: > >> > >> Hi Patrick, > >> > >> Just want to make sure that VOTE for rc6 also cancelled? > >> > >> > >> Thanks, > >> > >> Henry > >> > >> On Thu, May 15, 2014 at 1:15 AM, Patrick Wendell <pwend...@gmail.com> > >> wrote: > >> > I'll start the voting with a +1. > >> > > >> > On Thu, May 15, 2014 at 1:14 AM, Patrick Wendell <pwend...@gmail.com> > >> > wrote: > >> >> Please vote on releasing the following candidate as Apache Spark > >> >> version 1.0.0! > >> >> > >> >> This patch has minor documentation changes and fixes on top of rc6. > >> >> > >> >> The tag to be voted on is v1.0.0-rc7 (commit 9212b3e): > >> >> > >> >> > https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=9212b3e5bb5545ccfce242da8d89108e6fb1c464 > >> >> > >> >> The release files, including signatures, digests, etc. can be found > at: > >> >> http://people.apache.org/~pwendell/spark-1.0.0-rc7/ > >> >> > >> >> 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-1015 > >> >> > >> >> The documentation corresponding to this release can be found at: > >> >> http://people.apache.org/~pwendell/spark-1.0.0-rc7-docs/ > >> >> > >> >> Please vote on releasing this package as Apache Spark 1.0.0! > >> >> > >> >> The vote is open until Sunday, May 18, at 09:12 UTC and passes if a > >> >> majority 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 > > > > >
