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From Patrick Wendell <pwend...@gmail.com>
Subject Re: [VOTE] Release Apache Spark 1.0.0 (RC11)
Date Wed, 04 Jun 2014 20:00:45 GMT
Hey There,

The best way is to use the v1.0.0 tag:
https://github.com/apache/spark/releases/tag/v1.0.0

- Patrick

On Wed, Jun 4, 2014 at 12:19 PM, Debasish Das <debasish.das83@gmail.com> wrote:
> Hi Patrick,
>
> We maintain internal Spark mirror in sync with Spark github master...
>
> What's the way to get the 1.0.0 stable release from github to deploy on our
> production cluster ? Is there a tag for 1.0.0 that I should use to deploy ?
>
> Thanks.
> Deb
>
>
>
> On Wed, Jun 4, 2014 at 10:49 AM, Patrick Wendell <pwendell@gmail.com> wrote:
>
>> Received!
>>
>> On Wed, Jun 4, 2014 at 10:47 AM, Tom Graves
>> <tgraves_cs@yahoo.com.invalid> wrote:
>> > Testing... Resending as it appears my message didn't go through last
>> week.
>> >
>> > Tom
>> >
>> >
>> > On Wednesday, May 28, 2014 4:12 PM, Tom Graves <tgraves_cs@yahoo.com>
>> wrote:
>> >
>> >
>> >
>> > +1. Tested spark on yarn (cluster mode, client mode, pyspark,
>> spark-shell) on hadoop 0.23 and 2.4.
>> >
>> > Tom
>> >
>> >
>> > On Wednesday, May 28, 2014 3:07 PM, Sean McNamara
>> <Sean.McNamara@Webtrends.com> wrote:
>> >
>> >
>> >
>> > Pulled down, compiled, and tested examples on OS X and ubuntu.
>> > Deployed app we are building on spark and poured data through it.
>> >
>> > +1
>> >
>> > Sean
>> >
>> >
>> >
>> > On May 26, 2014, at 8:39 AM, Tathagata Das <tathagata.das1565@gmail.com>
>> wrote:
>> >
>> >> Please vote on releasing the following candidate as Apache Spark
>> version 1.0.0!
>> >>
>> >> This has a few important bug fixes on top of rc10:
>> >> SPARK-1900 and SPARK-1918: https://github.com/apache/spark/pull/853
>> >> SPARK-1870: https://github.com/apache/spark/pull/848
>> >> SPARK-1897: https://github.com/apache/spark/pull/849
>> >>
>> >> The tag to be voted on is v1.0.0-rc11 (commit c69d97cd):
>> >>
>> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=c69d97cdb42f809cb71113a1db4194c21372242a
>> >>
>> >> The release files, including signatures, digests, etc. can be found at:
>> >> http://people.apache.org/~tdas/spark-1.0.0-rc11/
>> >>
>> >> Release
>> >  artifacts are signed with the following key:
>> >> https://people.apache.org/keys/committer/tdas.asc
>> >>
>> >> The staging repository for this release can be found at:
>> >> https://repository.apache.org/content/repositories/orgapachespark-1019/
>> >>
>> >> The documentation corresponding to this release can be found at:
>> >> http://people.apache.org/~tdas/spark-1.0.0-rc11-docs/
>> >>
>> >> Please vote on releasing this package as Apache Spark 1.0.0!
>> >>
>> >> The vote is open until
>> >  Thursday, May 29, at 16:00 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/~tdas/spark-1.0.0-rc11-docs/mllib-guide.html#from-09-to-10
>> >>
>> >> Changes to the Java API:
>> >>
>> http://people.apache.org/~tdas/spark-1.0.0-rc11-docs/java-programming-guide.html#upgrading-from-pre-10-versions-of-spark
>> >>
>> >> Changes to the streaming API:
>> >>
>> http://people.apache.org/~tdas/spark-1.0.0-rc11-docs/streaming-programming-guide.html#migration-guide-from-091-or-below-to-1x
>> >>
>> >> Changes to the GraphX API:
>> >>
>> http://people.apache.org/~tdas/spark-1.0.0-rc11-docs/graphx-programming-guide.html#upgrade-guide-from-spark-091
>> >>
>> >> Other changes:
>> >> 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
>>

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