The test passed here: https://amplab.cs.berkeley.edu/jenkins/view/Spark/job/Spark-Master-Maven-with-YARN/HADOOP_PROFILE=hadoop-2.4,label=centos/1215/consoleFull
It passed locally with the following command: mvn -DHADOOP_PROFILE=hadoop-2.4 -Phadoop-2.4 -Pyarn -Phive test -Dtest=JavaAPISuite FYI On Sat, Jan 17, 2015 at 8:23 AM, Andrew Musselman < andrew.mussel...@gmail.com> wrote: > Failing for me and another team member on the command line, for what it's > worth. > > > On Jan 17, 2015, at 2:39 AM, Sean Owen <so...@cloudera.com> wrote: > > > > Hm, this test hangs for me in IntelliJ. It could be a real problem, > > and a combination of a) just recently actually enabling Java tests, b) > > recent updates to the complicated Guava shading situation. > > > > The manifestation of the error usually suggests that something totally > > failed to start (because of, say, class incompatibility errors, etc.) > > Thus things hang and time out waiting for the dead component. It's > > sometimes hard to get answers from the embedded component that dies > > though. > > > > That said, it seems to pass on the command line. For example my recent > > Jenkins job shows it passes: > > > https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/25682/consoleFull > > > > I'll try to uncover more later this weekend. Thoughts welcome though. > > > > On Fri, Jan 16, 2015 at 8:26 PM, Andrew Musselman > > <andrew.mussel...@gmail.com> wrote: > >> Thanks Ted, got farther along but now have a failing test; is this a > known > >> issue? > >> > >> ------------------------------------------------------- > >> T E S T S > >> ------------------------------------------------------- > >> Running org.apache.spark.JavaAPISuite > >> Tests run: 72, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: > 123.462 sec > >> <<< FAILURE! - in org.apache.spark.JavaAPISuite > >> testGuavaOptional(org.apache.spark.JavaAPISuite) Time elapsed: 106.5 > sec > >> <<< ERROR! > >> org.apache.spark.SparkException: Job aborted due to stage failure: > Master > >> removed our application: FAILED > >> at > >> org.apache.spark.scheduler.DAGScheduler.org > $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1199) > >> at > >> > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1188) > >> at > >> > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1187) > >> at > >> > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > >> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > >> at > >> > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1187) > >> at > >> > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) > >> at > >> > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) > >> at scala.Option.foreach(Option.scala:236) > >> at > >> > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) > >> at > >> > org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1399) > >> at akka.actor.Actor$class.aroundReceive(Actor.scala:465) > >> at > >> > org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1360) > >> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) > >> at akka.actor.ActorCell.invoke(ActorCell.scala:487) > >> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238) > >> at akka.dispatch.Mailbox.run(Mailbox.scala:220) > >> at > >> > akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393) > >> at > scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) > >> at > >> > scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) > >> at > >> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) > >> at > >> > scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) > >> > >> Running org.apache.spark.JavaJdbcRDDSuite > >> Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.846 > sec - > >> in org.apache.spark.JavaJdbcRDDSuite > >> > >> Results : > >> > >> > >> Tests in error: > >> JavaAPISuite.testGuavaOptional ยป Spark Job aborted due to stage > failure: > >> Maste... > >> > >>> On Fri, Jan 16, 2015 at 12:06 PM, Ted Yu <yuzhih...@gmail.com> wrote: > >>> > >>> Can you try doing this before running mvn ? > >>> > >>> export MAVEN_OPTS="-Xmx2g -XX:MaxPermSize=512M > >>> -XX:ReservedCodeCacheSize=512m" > >>> > >>> What OS are you using ? > >>> > >>> Cheers > >>> > >>> On Fri, Jan 16, 2015 at 12:03 PM, Andrew Musselman > >>> <andrew.mussel...@gmail.com> wrote: > >>>> > >>>> Just got the latest from Github and tried running `mvn test`; is this > >>>> error common and do you have any advice on fixing it? > >>>> > >>>> Thanks! > >>>> > >>>> [INFO] --- scala-maven-plugin:3.2.0:compile (scala-compile-first) @ > >>>> spark-core_2.10 --- > >>>> [WARNING] Zinc server is not available at port 3030 - reverting to > normal > >>>> incremental compile > >>>> [INFO] Using incremental compilation > >>>> [INFO] compiler plugin: > >>>> BasicArtifact(org.scalamacros,paradise_2.10.4,2.0.1,null) > >>>> [INFO] Compiling 400 Scala sources and 34 Java sources to > >>>> /home/akm/spark/core/target/scala-2.10/classes... > >>>> [WARNING] > >>>> > /home/akm/spark/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala:22: > >>>> imported `DataReadMethod' is permanently hidden by definition of > object > >>>> DataReadMethod in package executor > >>>> [WARNING] import org.apache.spark.executor.DataReadMethod > >>>> [WARNING] ^ > >>>> [WARNING] > >>>> > /home/akm/spark/core/src/main/scala/org/apache/spark/TaskState.scala:41: > >>>> match may not be exhaustive. > >>>> It would fail on the following input: TASK_ERROR > >>>> [WARNING] def fromMesos(mesosState: MesosTaskState): TaskState = > >>>> mesosState match { > >>>> [WARNING] ^ > >>>> [WARNING] > >>>> > /home/akm/spark/core/src/main/scala/org/apache/spark/scheduler/EventLoggingListener.scala:89: > >>>> method isDirectory in class FileSystem is deprecated: see > corresponding > >>>> Javadoc for more information. > >>>> [WARNING] if (!fileSystem.isDirectory(new Path(logBaseDir))) { > >>>> [WARNING] ^ > >>>> [ERROR] PermGen space -> [Help 1] > >>>> [ERROR] > >>>> [ERROR] To see the full stack trace of the errors, re-run Maven with > the > >>>> -e switch. > >>>> [ERROR] Re-run Maven using the -X switch to enable full debug logging. > >>>> [ERROR] > >>>> [ERROR] For more information about the errors and possible solutions, > >>>> please read the following articles: > >>>> [ERROR] [Help 1] > >>>> http://cwiki.apache.org/confluence/display/MAVEN/OutOfMemoryError > >> >
