I believe TD just forgot to set the fix version on the JIRA. There is a fix for this in 1.3:
https://github.com/apache/spark/commit/03e263f5b527cf574f4ffcd5cd886f7723e3756e - Patrick On Mon, Apr 6, 2015 at 2:31 PM, Mark Hamstra <m...@clearstorydata.com> wrote: > 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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