[jira] [Updated] (SPARK-8142) Spark Job Fails with ResultTask ClassCastException

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8142?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-8142:
--------------------------------
    Labels: bulk-closed  (was: )

> Spark Job Fails with ResultTask ClassCastException
> --------------------------------------------------
>
>                 Key: SPARK-8142
>                 URL: https://issues.apache.org/jira/browse/SPARK-8142
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.3.1
>            Reporter: Dev Lakhani
>            Priority: Major
>              Labels: bulk-closed
>
> When running a Spark Job, I get no failures in the application code whatsoever but a weird ResultTask Class exception. In my job, I create a RDD from HBase and for each partition do a REST call on an API, using a REST client.  This has worked in IntelliJ but when I deploy to a cluster using spark-submit.sh I get :
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, host): java.lang.ClassCastException: org.apache.spark.scheduler.ResultTask cannot be cast to org.apache.spark.scheduler.Task
>         at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:185)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>         at java.lang.Thread.run(Thread.java:745)
> These are the configs I set to override the spark classpath because I want to use my own glassfish jersey version:
>  
> sparkConf.set("spark.driver.userClassPathFirst","true");
> sparkConf.set("spark.executor.userClassPathFirst","true");
> I see no other warnings or errors in any of the logs.
> Unfortunately I cannot post my code, but please ask me questions that will help debug the issue. Using spark 1.3.1 hadoop 2.6.



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