+1 Verified some MLlib bug fixes on OS X. -Xiangrui On Sun, Apr 5, 2015 at 1:24 AM, Sean Owen <so...@cloudera.com> wrote: > Signatures and hashes are good. > LICENSE, NOTICE still check out. > Compiles for a Hadoop 2.6 + YARN + Hive profile. > > I still see the UISeleniumSuite test failure observed in 1.3.0, which > is minor and already fixed. I don't know why I didn't back-port it: > https://issues.apache.org/jira/browse/SPARK-6205 > > If we roll another, let's get this easy fix in, but it is only an > issue with tests. > > > On JIRA, I checked open issues with Fix Version = 1.3.0 or 1.3.1 and > all look legitimate (e.g. reopened or in progress) > > > There is 1 open Blocker for 1.3.1 per Andrew: > https://issues.apache.org/jira/browse/SPARK-6673 spark-shell.cmd can't > start even when spark was built in Windows > > I believe this can be resolved quickly but as a matter of hygiene > should be fixed or demoted before release. > > > FYI there are 16 Critical issues marked for 1.3.0 / 1.3.1; worth > examining before release to see how critical they are: > > SPARK-6701,Flaky test: o.a.s.deploy.yarn.YarnClusterSuite Python > application,,Open,4/3/15 > SPARK-6484,"Ganglia metrics xml reporter doesn't escape > correctly",Josh Rosen,Open,3/24/15 > SPARK-6270,Standalone Master hangs when streaming job completes,,Open,3/11/15 > SPARK-6209,ExecutorClassLoader can leak connections after failing to > load classes from the REPL class server,Josh Rosen,In Progress,4/2/15 > SPARK-5113,Audit and document use of hostnames and IP addresses in > Spark,,Open,3/24/15 > SPARK-5098,Number of running tasks become negative after tasks > lost,,Open,1/14/15 > SPARK-4925,Publish Spark SQL hive-thriftserver maven artifact,Patrick > Wendell,Reopened,3/23/15 > SPARK-4922,Support dynamic allocation for coarse-grained Mesos,,Open,3/31/15 > SPARK-4888,"Spark EC2 doesn't mount local disks for i2.8xlarge > instances",,Open,1/27/15 > SPARK-4879,Missing output partitions after job completes with > speculative execution,Josh Rosen,Open,3/5/15 > SPARK-4751,Support dynamic allocation for standalone mode,Andrew > Or,Open,12/22/14 > SPARK-4454,Race condition in DAGScheduler,Josh Rosen,Reopened,2/18/15 > SPARK-4452,Shuffle data structures can starve others on the same > thread for memory,Tianshuo Deng,Open,1/24/15 > SPARK-4352,Incorporate locality preferences in dynamic allocation > requests,,Open,1/26/15 > SPARK-4227,Document external shuffle service,,Open,3/23/15 > SPARK-3650,Triangle Count handles reverse edges incorrectly,,Open,2/23/15 > > On Sun, Apr 5, 2015 at 1:09 AM, Patrick Wendell <pwend...@gmail.com> wrote: >> Please vote on releasing the following candidate as Apache Spark version >> 1.3.1! >> >> The tag to be voted on is v1.3.1-rc1 (commit 0dcb5d9f): >> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=0dcb5d9f31b713ed90bcec63ebc4e530cbb69851 >> >> The list of fixes present in this release can be found at: >> http://bit.ly/1C2nVPY >> >> The release files, including signatures, digests, etc. can be found at: >> http://people.apache.org/~pwendell/spark-1.3.1-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-1080 >> >> The documentation corresponding to this release can be found at: >> http://people.apache.org/~pwendell/spark-1.3.1-rc1-docs/ >> >> Please vote on releasing this package as Apache Spark 1.3.1! >> >> The vote is open until Wednesday, April 08, at 01:10 UTC and passes >> if a majority of at least 3 +1 PMC votes are cast. >> >> [ ] +1 Release this package as Apache Spark 1.3.1 >> [ ] -1 Do not release this package because ... >> >> To learn more about Apache Spark, please see >> http://spark.apache.org/ >> >> - Patrick >> >> --------------------------------------------------------------------- >> 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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