Should 1.5.2 wait for Josh's fix of SPARK-11293? On Sun, Oct 25, 2015 at 2:25 PM, Sean Owen <so...@cloudera.com> wrote:
> The signatures and licenses are fine. I continue to get failures in > these tests though, with "-Pyarn -Phadoop-2.6 -Phive > -Phive-thriftserver" on Ubuntu 15 / Java 7. > > - Unpersisting HttpBroadcast on executors and driver in distributed > mode *** FAILED *** > java.util.concurrent.TimeoutException: Can't find 2 executors before > 10000 milliseconds elapsed > at > org.apache.spark.ui.jobs.JobProgressListener.waitUntilExecutorsUp(JobProgressListener.scala:561) > at > org.apache.spark.broadcast.BroadcastSuite.testUnpersistBroadcast(BroadcastSuite.scala:313) > at org.apache.spark.broadcast.BroadcastSuite.org > $apache$spark$broadcast$BroadcastSuite$$testUnpersistHttpBroadcast(BroadcastSuite.scala:238) > at > org.apache.spark.broadcast.BroadcastSuite$$anonfun$12.apply$mcV$sp(BroadcastSuite.scala:149) > at > org.apache.spark.broadcast.BroadcastSuite$$anonfun$12.apply(BroadcastSuite.scala:149) > at > org.apache.spark.broadcast.BroadcastSuite$$anonfun$12.apply(BroadcastSuite.scala:149) > at > org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22) > at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85) > at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104) > at org.scalatest.Transformer.apply(Transformer.scala:22) > ... > - Unpersisting TorrentBroadcast on executors only in local mode > - Unpersisting TorrentBroadcast on executors and driver in local mode > - Unpersisting TorrentBroadcast on executors only in distributed mode > - Unpersisting TorrentBroadcast on executors and driver in distributed > mode *** FAILED *** > java.util.concurrent.TimeoutException: Can't find 2 executors before > 10000 milliseconds elapsed > at > org.apache.spark.ui.jobs.JobProgressListener.waitUntilExecutorsUp(JobProgressListener.scala:561) > at > org.apache.spark.broadcast.BroadcastSuite.testUnpersistBroadcast(BroadcastSuite.scala:313) > at org.apache.spark.broadcast.BroadcastSuite.org > $apache$spark$broadcast$BroadcastSuite$$testUnpersistTorrentBroadcast(BroadcastSuite.scala:287) > at > org.apache.spark.broadcast.BroadcastSuite$$anonfun$16.apply$mcV$sp(BroadcastSuite.scala:165) > at > org.apache.spark.broadcast.BroadcastSuite$$anonfun$16.apply(BroadcastSuite.scala:165) > at > org.apache.spark.broadcast.BroadcastSuite$$anonfun$16.apply(BroadcastSuite.scala:165) > at > org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22) > at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85) > at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104) > at org.scalatest.Transformer.apply(Transformer.scala:22) > ... > > On Sun, Oct 25, 2015 at 7:07 AM, Reynold Xin <r...@databricks.com> wrote: > > Please vote on releasing the following candidate as Apache Spark version > > 1.5.2. The vote is open until Wed Oct 28, 2015 at 08:00 UTC and passes > if a > > majority of at least 3 +1 PMC votes are cast. > > > > [ ] +1 Release this package as Apache Spark 1.5.2 > > [ ] -1 Do not release this package because ... > > > > > > The release fixes 51 known issues in Spark 1.5.1, listed here: > > http://s.apache.org/spark-1.5.2 > > > > The tag to be voted on is v1.5.2-rc1: > > https://github.com/apache/spark/releases/tag/v1.5.2-rc1 > > > > The release files, including signatures, digests, etc. can be found at: > > http://people.apache.org/~pwendell/spark-releases/spark-1.5.2-rc1-bin/ > > > > 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: > > - as version 1.5.2-rc1: > > https://repository.apache.org/content/repositories/orgapachespark-1151 > > - as version 1.5.2: > > https://repository.apache.org/content/repositories/orgapachespark-1150 > > > > The documentation corresponding to this release can be found at: > > http://people.apache.org/~pwendell/spark-releases/spark-v1.5.2-rc1-docs/ > > > > > > ======================================= > > How can I help test this release? > > ======================================= > > If you are a Spark user, you can help us test this release by taking an > > existing Spark workload and running on this release candidate, then > > reporting any regressions. > > > > ================================================ > > What justifies a -1 vote for this release? > > ================================================ > > -1 vote should occur for regressions from Spark 1.5.1. Bugs already > present > > in 1.5.1 will not block this release. > > > > =============================================================== > > What should happen to JIRA tickets still targeting 1.5.2? > > =============================================================== > > Please target 1.5.3 or 1.6.0. > > > > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org > For additional commands, e-mail: dev-h...@spark.apache.org > >
