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https://issues.apache.org/jira/browse/SPARK-17265?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15849822#comment-15849822
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Laurent Philippart edited comment on SPARK-17265 at 2/2/17 1:57 PM:
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I have exactly the same issue. My graphs / EdgeRDDs were not checkpointed.
I will try to build Spark 2.2.0-SNAPSHOT from the master branch and test if the 
issue is fixed.


was (Author: laphilip):
I have exactly the same issue. My graphs / EdgeRDDs were not checkpointed.
I will try to build Spark 2.1 from the master branch and test if the issue is 
fixed.

> EdgeRDD Difference throws an exception
> --------------------------------------
>
>                 Key: SPARK-17265
>                 URL: https://issues.apache.org/jira/browse/SPARK-17265
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.0
>         Environment: windows, ubuntu
>            Reporter: Shishir Kharel
>
> Subtracting two edge RDD throws and exception.
> val difference = graph1.edges.subtract(graph2.edges)
> gives
> Exception in thread "main" org.apache.spark.SparkException: Job aborted due 
> to stage failure: Task 1 in stage 0.0 failed 1 times, most recent failure: 
> Lost task 1.0 in stage 0.0 (TID 1, localhost): java.lang.ClassCastException: 
> org.apache.spark.graphx.Edge cannot be cast to scala.Tuple2
>         at 
> org.apache.spark.rdd.RDD$$anonfun$subtract$3$$anon$3.getPartition(RDD.scala:968)
>         at 
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:152)
>         at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
>         at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
>         at org.apache.spark.scheduler.Task.run(Task.scala:86)
>         at 
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
>         at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>         at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>         at java.lang.Thread.run(Thread.java:745)



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