Thanks for being on top of this Patrick ! And apologies for not being able to help more.
Regards, Mridul On Aug 29, 2014 1:30 AM, "Patrick Wendell" <pwend...@gmail.com> wrote: > Mridul - thanks for sending this along and for the debugging comments > on the JIRA. I think we have a handle on the issue and we'll patch it > and spin a new RC. We can also update the test coverage to cover LZ4. > > - Patrick > > On Thu, Aug 28, 2014 at 9:27 AM, Mridul Muralidharan <mri...@gmail.com> > wrote: > > Is SPARK-3277 applicable to 1.1 ? > > If yes, until it is fixed, I am -1 on the release (I am on break, so > can't > > verify or help fix, sorry). > > > > Regards > > Mridul > > > > On 28-Aug-2014 9:33 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-rc1 (commit f0718324): > >> > >> > https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=f07183249b74dd857069028bf7d570b35f265585 > >> > >> The release files, including signatures, digests, etc. can be found at: > >> http://people.apache.org/~pwendell/spark-1.1.0-rc1/ > >> > >> 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-1028/ > >> > >> The documentation corresponding to this release can be found at: > >> http://people.apache.org/~pwendell/spark-1.1.0-rc1-docs/ > >> > >> Please vote on releasing this package as Apache Spark 1.1.0! > >> > >> The vote is open until Sunday, August 31, at 17:00 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/ > >> > >> == 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". > >> > >> I'll send a bit more later today with feature information for the > >> release. In the mean time I want to put this out there for > >> consideration. > >> > >> - Patrick > >> > >> --------------------------------------------------------------------- > >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org > >> For additional commands, e-mail: dev-h...@spark.apache.org > >> > > >
