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Posted to issues@spark.apache.org by "Ohad Zadok (JIRA)" <ji...@apache.org> on 2015/07/08 23:37:04 UTC
[jira] [Updated] (SPARK-8904) When using LDA DAGScheduler throws
exception
[ https://issues.apache.org/jira/browse/SPARK-8904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ohad Zadok updated SPARK-8904:
------------------------------
Attachment: ldaexample.scala
> When using LDA DAGScheduler throws exception
> --------------------------------------------
>
> Key: SPARK-8904
> URL: https://issues.apache.org/jira/browse/SPARK-8904
> Project: Spark
> Issue Type: Bug
> Components: ML, MLlib
> Affects Versions: 1.4.0
> Environment: Amazon EC2 using ubuntu
> Reporter: Ohad Zadok
> Attachments: ldaexample.scala
>
>
> When using the LDA algorithm, DAGscheduler throws an exeption, this is the stack trace:
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1266)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1257)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1256)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1256)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1450)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1411)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
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