Hi, I keep asking myself why are you guys not including -Pmesos in your builds? Is this on purpose or have you overlooked it?
Pozdrawiam, Jacek Laskowski ---- https://medium.com/@jaceklaskowski/ Mastering Apache Spark 2.0 http://bit.ly/mastering-apache-spark Follow me at https://twitter.com/jaceklaskowski On Sat, Sep 24, 2016 at 9:25 PM, Dongjoon Hyun <dongj...@apache.org> wrote: > +1 (non binding) > > I compiled and tested on the following two systems. > > - CentOS 7.2 / Oracle JDK 1.8.0_77 / R 3.3.1 with -Pyarn -Phadoop-2.7 > -Pkinesis-asl -Phive -Phive-thriftserver -Dsparkr > - CentOS 7.2 / Open JDK 1.8.0_102 with -Pyarn -Phadoop-2.7 -Pkinesis-asl > -Phive -Phive-thriftserver > > Bests, > Dongjoon. > > > On Fri, Sep 23, 2016 at 3:32 PM, Jacek Laskowski <ja...@japila.pl> wrote: >> >> Hi, >> >> Not that it could fix the issue but no -Pmesos? >> >> Jacek >> >> >> On 24 Sep 2016 12:08 a.m., "Sean Owen" <so...@cloudera.com> wrote: >>> >>> +1 Signatures and hashes check out. I checked that the Kinesis >>> assembly artifacts are not present. >>> >>> I compiled and tested on Java 8 / Ubuntu 16 with -Pyarn -Phive >>> -Phive-thriftserver -Phadoop-2.7 -Psparkr and only saw one test >>> problem. This test never completed. If nobody else sees it, +1, >>> assuming it's a bad test or env issue. >>> >>> - should clone and clean line object in ClosureCleaner *** FAILED *** >>> isContain was true Interpreter output contained 'Exception': >>> Welcome to >>> ____ __ >>> / __/__ ___ _____/ /__ >>> _\ \/ _ \/ _ `/ __/ '_/ >>> /___/ .__/\_,_/_/ /_/\_\ version 2.0.1 >>> /_/ >>> >>> Using Scala version 2.11.8 (OpenJDK 64-Bit Server VM, Java 1.8.0_91) >>> Type in expressions to have them evaluated. >>> Type :help for more information. >>> >>> scala> // Entering paste mode (ctrl-D to finish) >>> >>> >>> // Exiting paste mode, now interpreting. >>> >>> org.apache.spark.SparkException: Job 0 cancelled because >>> SparkContext was shut down >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:818) >>> ... >>> >>> >>> On Fri, Sep 23, 2016 at 7:01 AM, Reynold Xin <r...@databricks.com> wrote: >>> > Please vote on releasing the following candidate as Apache Spark >>> > version >>> > 2.0.1. The vote is open until Sunday, Sep 25, 2016 at 23:59 PDT and >>> > passes >>> > if a majority of at least 3+1 PMC votes are cast. >>> > >>> > [ ] +1 Release this package as Apache Spark 2.0.1 >>> > [ ] -1 Do not release this package because ... >>> > >>> > >>> > The tag to be voted on is v2.0.1-rc2 >>> > (04141ad49806a48afccc236b699827997142bd57) >>> > >>> > This release candidate resolves 284 issues: >>> > https://s.apache.org/spark-2.0.1-jira >>> > >>> > The release files, including signatures, digests, etc. can be found at: >>> > http://people.apache.org/~pwendell/spark-releases/spark-2.0.1-rc2-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: >>> > https://repository.apache.org/content/repositories/orgapachespark-1199 >>> > >>> > The documentation corresponding to this release can be found at: >>> > http://people.apache.org/~pwendell/spark-releases/spark-2.0.1-rc2-docs/ >>> > >>> > >>> > Q: How can I help test this release? >>> > A: 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 from 2.0.0. >>> > >>> > Q: What justifies a -1 vote for this release? >>> > A: This is a maintenance release in the 2.0.x series. Bugs already >>> > present >>> > in 2.0.0, missing features, or bugs related to new features will not >>> > necessarily block this release. >>> > >>> > Q: What happened to 2.0.1 RC1? >>> > A: There was an issue with RC1 R documentation during release candidate >>> > preparation. As a result, rc1 was canceled before a vote was called. >>> > >>> >>> --------------------------------------------------------------------- >>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >>> > --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org