[SPARK-2403] Catch all errors during serialization in DAGScheduler

https://issues.apache.org/jira/browse/SPARK-2403

Spark hangs for us whenever we forget to register a class with Kryo. This should be a simple fix for that. But let me know if you have a better suggestion.

I did not write a new test for this. It would be pretty complicated and I'm not sure it's worthwhile for such a simple change. Let me know if you disagree.

Author: Daniel Darabos <[email protected]>

Closes #1329 from darabos/spark-2403 and squashes the following commits:

3aceaad [Daniel Darabos] Print full stack trace for miscellaneous exceptions during serialization.
52c22ba [Daniel Darabos] Only catch NonFatal exceptions.
361e962 [Daniel Darabos] Catch all errors during serialization in DAGScheduler.

(cherry picked from commit c8a2313)
Signed-off-by: Aaron Davidson <[email protected]>

Author: darabos

core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala

@@ -26,6 +26,7 @@ import scala.concurrent.Await
 import scala.concurrent.duration._
 import scala.language.postfixOps
 import scala.reflect.ClassTag
+import scala.util.control.NonFatal
 
 import akka.actor._
 import akka.actor.OneForOneStrategy
@@ -771,6 +772,10 @@ class DAGScheduler(
           abortStage(stage, "Task not serializable: " + e.toString)
           runningStages -= stage
           return
+        case NonFatal(e) => // Other exceptions, such as IllegalArgumentException from Kryo.
+          abortStage(stage, s"Task serialization failed: $e\n${e.getStackTraceString}")
+          runningStages -= stage
+          return
       }
 
       logInfo("Submitting " + tasks.size + " missing tasks from " + stage + " (" + stage.rdd + ")")