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 >
