+1 non binding No issue found. Regards, Vaquar khan On 23 Sep 2016 17:25, "Mark Hamstra" <m...@clearstorydata.com> wrote:
Similar but not identical configuration (Java 8/macOs 10.12 with build/mvn -Phive -Phive-thriftserver -Phadoop-2.7 -Pyarn clean install); Similar but not identical failure: ... - line wrapper only initialized once when used as encoder outer scope Spark context available as 'sc' (master = local-cluster[1,1,1024], app id = app-20160923150640-0000). Spark session available as 'spark'. Exception in thread "dispatcher-event-loop-1" java.lang.OutOfMemoryError: GC overhead limit exceeded Exception in thread "dispatcher-event-loop-7" java.lang.OutOfMemoryError: GC overhead limit exceeded - define case class and create Dataset together with paste mode java.lang.OutOfMemoryError: GC overhead limit exceeded - should clone and clean line object in ClosureCleaner *** FAILED *** java.util.concurrent.TimeoutException: Futures timed out after [10 minutes] ... On Fri, Sep 23, 2016 at 3:08 PM, 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$cleanUpAfte > rSchedulerStop$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 > >
