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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