Is that correct, or is the JIRA just out of sync, since TD's PR was merged? https://github.com/apache/spark/pull/5008
On Mon, Apr 6, 2015 at 11:10 AM, Hari Shreedharan <hshreedha...@cloudera.com > wrote: > It does not look like https://issues.apache.org/jira/browse/SPARK-6222 > made it. It was targeted towards this release. > > > > > Thanks, Hari > > On Mon, Apr 6, 2015 at 11:04 AM, York, Brennon > <brennon.y...@capitalone.com> wrote: > > > +1 (non-binding) > > Tested GraphX, build infrastructure, & core test suite on OSX 10.9 w/ > Java > > 1.7/1.8 > > On 4/6/15, 5:21 AM, "Sean Owen" <so...@cloudera.com> wrote: > >>SPARK-6673 is not, in the end, relevant for 1.3.x I believe; we just > >>resolved it for 1.4 anyway. False alarm there. > >> > >>I back-ported SPARK-6205 into the 1.3 branch for next time. We'll pick > >>it up if there's another RC, but by itself is not something that needs > >>a new RC. (I will give the same treatment to branch 1.2 if needed in > >>light of the 1.2.2 release.) > >> > >>I applied the simple change in SPARK-6205 in order to continue > >>executing tests and all was well. I still see a few failures in Hive > >>tests: > >> > >>- show_create_table_serde *** FAILED *** > >>- show_tblproperties *** FAILED *** > >>- udf_std *** FAILED *** > >>- udf_stddev *** FAILED *** > >> > >>with ... > >> > >>mvn -Phadoop-2.4 -Pyarn -Phive -Phive-0.13.1 -Dhadoop.version=2.6.0 > >>-DskipTests clean package; mvn -Phadoop-2.4 -Pyarn -Phive > >>-Phive-0.13.1 -Dhadoop.version=2.6.0 test > >> > >>... but these are not regressions from 1.3.0. > >> > >>+1 from me at this point on the current artifacts. > >> > >>On Sun, Apr 5, 2015 at 9:24 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=0dcb5d9f3 > >>>>1b713ed90bcec63ebc4e530cbb69851 > >>>> > >>>> 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 > >> > > ________________________________________________________ > > The information contained in this e-mail is confidential and/or > proprietary to Capital One and/or its affiliates. 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