Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/15505#discussion_r95691071
--- Diff:
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala ---
@@ -517,6 +518,32 @@ class DAGSchedulerSuite extends SparkFunSuite with
LocalSparkContext with Timeou
assertDataStructuresEmpty()
}
+ test("unserializable partition") {
+ val shuffleMapRdd = new MyRDD(sc, 2, Nil)
+ val shuffleDep = new ShuffleDependency(shuffleMapRdd, new Partitioner {
+ override def numPartitions = 1
+
+ override def getPartition(key: Any) = 1
+
+ @throws(classOf[IOException])
+ private def writeObject(out: ObjectOutputStream): Unit = {
+ throw new NotSerializableException()
+ }
+
+ @throws(classOf[IOException])
+ private def readObject(in: ObjectInputStream): Unit = {}
+ })
+
+ // Submit a map stage by itself
+ submitMapStage(shuffleDep)
+ assert(failure.getMessage.startsWith(
+ "Job aborted due to stage failure: Task not serializable"))
+ sc.listenerBus.waitUntilEmpty(WAIT_TIMEOUT_MILLIS)
+ assert(sparkListener.failedStages.contains(0))
+ assert(sparkListener.failedStages.size === 1)
+ assertDataStructuresEmpty()
--- End diff --
Can you add to this test so one successful job is submitted afterwards (and
check in the test that the 2nd job was run successfully)?
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