[jira] [Created] (SPARK-4737) Prevent serialization errors from ever crashing the DAG scheduler

["Patrick Wendell (JIRA)" <ji...@apache.org>]

Patrick Wendell created SPARK-4737:
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             Summary: Prevent serialization errors from ever crashing the DAG scheduler
                 Key: SPARK-4737
                 URL: https://issues.apache.org/jira/browse/SPARK-4737
             Project: Spark
          Issue Type: Bug
            Reporter: Patrick Wendell
            Assignee: Matthew Cheah
            Priority: Blocker


Currently in Spark we assume that when tasks are serialized in the TaskSetManager that the serialization cannot fail. We assume this because upstream in the DAGScheduler we attempt to catch any serialization errors by serializing a single partition. However, in some cases this upstream test is not accurate - i.e. an RDD can have one partition that can serialize cleanly but not others.

Do do this in the proper way we need to catch and propagate the exception at the time of serialization. The tricky bit is making sure it gets propagated in the right way.



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