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.da...@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 <pwend...@gmail.com> wrote: > >> Received! >> >> On Wed, Jun 4, 2014 at 10:47 AM, Tom Graves >> <tgraves...@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...@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.mcnam...@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.das1...@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 >>
