+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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