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 >> --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
