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What changes were proposed in this pull request?

This patch fixes the bug which throws ConcurrentModificationException when job with 0 partition is submitted via DAGScheduler.

Why are the changes needed?

Without this patch, structured streaming query throws ConcurrentModificationException, like below stack trace:

19/09/04 09:48:49 ERROR AsyncEventQueue: Listener EventLoggingListener threw an exception
java.util.ConcurrentModificationException
	at java.util.Hashtable$Enumerator.next(Hashtable.java:1387)
	at scala.collection.convert.Wrappers$JPropertiesWrapper$$anon$6.next(Wrappers.scala:424)
	at scala.collection.convert.Wrappers$JPropertiesWrapper$$anon$6.next(Wrappers.scala:420)
	at scala.collection.Iterator.foreach(Iterator.scala:941)
	at scala.collection.Iterator.foreach$(Iterator.scala:941)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
	at scala.collection.IterableLike.foreach(IterableLike.scala:74)
	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
	at scala.collection.TraversableLike.map(TraversableLike.scala:237)
	at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
	at scala.collection.AbstractTraversable.map(Traversable.scala:108)
	at org.apache.spark.util.JsonProtocol$.mapToJson(JsonProtocol.scala:514)
	at org.apache.spark.util.JsonProtocol$.$anonfun$propertiesToJson$1(JsonProtocol.scala:520)
	at scala.Option.map(Option.scala:163)
	at org.apache.spark.util.JsonProtocol$.propertiesToJson(JsonProtocol.scala:519)
	at org.apache.spark.util.JsonProtocol$.jobStartToJson(JsonProtocol.scala:155)
	at org.apache.spark.util.JsonProtocol$.sparkEventToJson(JsonProtocol.scala:79)
	at org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:149)
	at org.apache.spark.scheduler.EventLoggingListener.onJobStart(EventLoggingListener.scala:217)
	at org.apache.spark.scheduler.SparkListenerBus.doPostEvent(SparkListenerBus.scala:37)
	at org.apache.spark.scheduler.SparkListenerBus.doPostEvent$(SparkListenerBus.scala:28)
	at org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
	at org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
	at org.apache.spark.util.ListenerBus.postToAll(ListenerBus.scala:99)
	at org.apache.spark.util.ListenerBus.postToAll$(ListenerBus.scala:84)
	at org.apache.spark.scheduler.AsyncEventQueue.super$postToAll(AsyncEventQueue.scala:102)
	at org.apache.spark.scheduler.AsyncEventQueue.$anonfun$dispatch$1(AsyncEventQueue.scala:102)
	at scala.runtime.java8.JFunction0$mcJ$sp.apply(JFunction0$mcJ$sp.java:23)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
	at org.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:97)
	at org.apache.spark.scheduler.AsyncEventQueue$$anon$2.$anonfun$run$1(AsyncEventQueue.scala:93)
	at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319)
	at org.apache.spark.scheduler.AsyncEventQueue$$anon$2.run(AsyncEventQueue.scala:93)

Please refer https://issues.apache.org/jira/browse/SPARK-28967 for detailed reproducer.

Does this PR introduce any user-facing change?

No

How was this patch tested?

Newly added UT. Also manually tested via running simple structured streaming query in spark-shell.

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@felixcheung felixcheung left a comment

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LGTM, pending tests

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SparkQA commented Sep 4, 2019

Test build #110090 has finished for PR 25672 at commit 75dd865.

  • This patch fails due to an unknown error code, -9.
  • This patch merges cleanly.
  • This patch adds no public classes.

@HeartSaVioR
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retest this, please

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SparkQA commented Sep 4, 2019

Test build #110109 has finished for PR 25672 at commit 75dd865.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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Looks reasonable pending tests. I wonder why it happens for 0 partitions... something gets short-circuited and stuff happens locally and then suddenly you're modifying the same object in the JVM?

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HeartSaVioR commented Sep 4, 2019

properties is from localProperties in SparkContext which is open to modify via SparkContext.setLocalProperty. The method is called from lots of places, so it's likely to encounter the case. That's why we also cloned properties for JobSubmitted.

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retest this, please

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SparkQA commented Sep 4, 2019

Test build #110142 has finished for PR 25672 at commit 75dd865.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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@felixcheung @srowen
Looks like this patch got 2 +1 with test passed. Unless we would want to have more eyes on this, could I ask for looking back this and merging?

@srowen srowen closed this in 905b7f7 Sep 6, 2019
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srowen commented Sep 6, 2019

Merged to master. I am not sure if it affects 2.4; the code is different around the change. If it does you can evaluate in another PR.

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Thanks all for reviewing and merging! It's caused by SPARK-26714 which is applied to 3.0, so backport is not needed.

@HeartSaVioR HeartSaVioR deleted the SPARK-28967 branch September 6, 2019 19:57
PavithraRamachandran pushed a commit to PavithraRamachandran/spark that referenced this pull request Sep 15, 2019
…oncurrentModificationException

### What changes were proposed in this pull request?

This patch fixes the bug which throws ConcurrentModificationException when job with 0 partition is submitted via DAGScheduler.

### Why are the changes needed?

Without this patch, structured streaming query throws ConcurrentModificationException, like below stack trace:

```
19/09/04 09:48:49 ERROR AsyncEventQueue: Listener EventLoggingListener threw an exception
java.util.ConcurrentModificationException
	at java.util.Hashtable$Enumerator.next(Hashtable.java:1387)
	at scala.collection.convert.Wrappers$JPropertiesWrapper$$anon$6.next(Wrappers.scala:424)
	at scala.collection.convert.Wrappers$JPropertiesWrapper$$anon$6.next(Wrappers.scala:420)
	at scala.collection.Iterator.foreach(Iterator.scala:941)
	at scala.collection.Iterator.foreach$(Iterator.scala:941)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
	at scala.collection.IterableLike.foreach(IterableLike.scala:74)
	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
	at scala.collection.TraversableLike.map(TraversableLike.scala:237)
	at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
	at scala.collection.AbstractTraversable.map(Traversable.scala:108)
	at org.apache.spark.util.JsonProtocol$.mapToJson(JsonProtocol.scala:514)
	at org.apache.spark.util.JsonProtocol$.$anonfun$propertiesToJson$1(JsonProtocol.scala:520)
	at scala.Option.map(Option.scala:163)
	at org.apache.spark.util.JsonProtocol$.propertiesToJson(JsonProtocol.scala:519)
	at org.apache.spark.util.JsonProtocol$.jobStartToJson(JsonProtocol.scala:155)
	at org.apache.spark.util.JsonProtocol$.sparkEventToJson(JsonProtocol.scala:79)
	at org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:149)
	at org.apache.spark.scheduler.EventLoggingListener.onJobStart(EventLoggingListener.scala:217)
	at org.apache.spark.scheduler.SparkListenerBus.doPostEvent(SparkListenerBus.scala:37)
	at org.apache.spark.scheduler.SparkListenerBus.doPostEvent$(SparkListenerBus.scala:28)
	at org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
	at org.apache.spark.scheduler.AsyncEventQueue.doPostEvent(AsyncEventQueue.scala:37)
	at org.apache.spark.util.ListenerBus.postToAll(ListenerBus.scala:99)
	at org.apache.spark.util.ListenerBus.postToAll$(ListenerBus.scala:84)
	at org.apache.spark.scheduler.AsyncEventQueue.super$postToAll(AsyncEventQueue.scala:102)
	at org.apache.spark.scheduler.AsyncEventQueue.$anonfun$dispatch$1(AsyncEventQueue.scala:102)
	at scala.runtime.java8.JFunction0$mcJ$sp.apply(JFunction0$mcJ$sp.java:23)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
	at org.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:97)
	at org.apache.spark.scheduler.AsyncEventQueue$$anon$2.$anonfun$run$1(AsyncEventQueue.scala:93)
	at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319)
	at org.apache.spark.scheduler.AsyncEventQueue$$anon$2.run(AsyncEventQueue.scala:93)
```

Please refer https://issues.apache.org/jira/browse/SPARK-28967 for detailed reproducer.

### Does this PR introduce any user-facing change?

No

### How was this patch tested?

Newly added UT. Also manually tested via running simple structured streaming query in spark-shell.

Closes apache#25672 from HeartSaVioR/SPARK-28967.

Authored-by: Jungtaek Lim (HeartSaVioR) <[email protected]>
Signed-off-by: Sean Owen <[email protected]>
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5 participants