+1. Tested Spark SQL Thrift server and CLI against a single node standalone
cluster.


On Thu, Aug 28, 2014 at 9:27 PM, Timothy Chen <tnac...@gmail.com> wrote:

> +1 Make-distrubtion works, and also tested simple spark jobs on Spark
> on Mesos on 8 node Mesos cluster.
>
> Tim
>
> On Thu, Aug 28, 2014 at 8:53 PM, Burak Yavuz <bya...@stanford.edu> wrote:
> > +1. Tested MLlib algorithms on Amazon EC2, algorithms show speed-ups
> between 1.5-5x compared to the 1.0.2 release.
> >
> > ----- Original Message -----
> > From: "Patrick Wendell" <pwend...@gmail.com>
> > To: dev@spark.apache.org
> > Sent: Thursday, August 28, 2014 8:32:11 PM
> > Subject: Re: [VOTE] Release Apache Spark 1.1.0 (RC2)
> >
> > I'll kick off the vote with a +1.
> >
> > On Thu, Aug 28, 2014 at 7:14 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-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
> >
> >
> >
> > ---------------------------------------------------------------------
> > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org
> > For additional commands, e-mail: dev-h...@spark.apache.org
> >
>
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>

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