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Posted to reviews@spark.apache.org by "fred-db (via GitHub)" <gi...@apache.org> on 2024/01/25 13:37:10 UTC

[PR] [SPARK-46861] Avoid Deadlock in DAGScheduler [spark]

fred-db opened a new pull request, #44882:
URL: https://github.com/apache/spark/pull/44882

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   * The DAGScheduler could currently run into a deadlock with another thread if both access the partitions of the same RDD at the same time.
   * To make progress in getCacheLocs, we require both exclusive access to the RDD partitions and the location cache. We first lock on the location cache, and then on the RDD.
   * When accessing partitions of an RDD, the RDD first acquires exclusive access on the partitions, and then might acquire exclusive access on the location cache.
   * If thread 1 is able to acquire access on the RDD, while thread 2 holds the access to the location cache, we can run into a deadlock situation.
   * To fix this, acquire locks in the same order. Change the DAGScheduler to first acquire the lock on the RDD, and then the lock on the location cache.
   
   ### Why are the changes needed?
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   * This is a deadlock you can run into, which can prevent any progress on the cluster.
   
   
   ### Does this PR introduce _any_ user-facing change?
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   * No
   
   
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   * Unit test that reproduces the issue.
   
   
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   No


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Re: [PR] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler [spark]

Posted by "dongjoon-hyun (via GitHub)" <gi...@apache.org>.
dongjoon-hyun commented on PR #44882:
URL: https://github.com/apache/spark/pull/44882#issuecomment-1910578421

   Merged to master/3.5/3.4.


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Re: [PR] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler [spark]

Posted by "mridulm (via GitHub)" <gi...@apache.org>.
mridulm commented on PR #44882:
URL: https://github.com/apache/spark/pull/44882#issuecomment-1912789739

   Can you add details of the deadlock stack traces to the jira please ?
   I am trying to understand how this is happening on the same RDD.


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Re: [PR] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler [spark]

Posted by "fred-db (via GitHub)" <gi...@apache.org>.
fred-db commented on PR #44882:
URL: https://github.com/apache/spark/pull/44882#issuecomment-1914299386

   Hi @mridulm ,
   
   I'm able to reproduce the deadlock consistently when running the test I added and after removing the call to `stateLock.synchronized` from `getCacheLocs`.
   
   The issue exists essentially with CoalescedRDDs. When calling `getPartitions` on a `CoalescedRDD`, the `PartitionLocations` of the `DefaultPartitionCoalescer` will do a call to `dagScheduler.getPreferredLocs`, which internally calls `getCacheLocs`, causing the deadlock.


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Re: [PR] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler [spark]

Posted by "dongjoon-hyun (via GitHub)" <gi...@apache.org>.
dongjoon-hyun commented on code in PR #44882:
URL: https://github.com/apache/spark/pull/44882#discussion_r1466635715


##########
core/src/main/scala/org/apache/spark/rdd/RDD.scala:
##########
@@ -224,14 +224,17 @@ abstract class RDD[T: ClassTag](
    * not use `this` because RDDs are user-visible, so users might have added their own locking on
    * RDDs; sharing that could lead to a deadlock.
    *
-   * One thread might hold the lock on many of these, for a chain of RDD dependencies; but
-   * because DAGs are acyclic, and we only ever hold locks for one path in that DAG, there is no
-   * chance of deadlock.
+   * One thread might hold the lock on many of these, for a chain of RDD dependencies. Deadlocks
+   * are possible if we try to lock another resource while holding the stateLock,
+   * and the lock acquisition sequence of these locks is not guaranteed to be the same.
+   * This can lead lead to a deadlock as one thread might first acquire the stateLock,

Review Comment:
   nit. `lead lead` -> `lead`



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Re: [PR] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler [spark]

Posted by "dongjoon-hyun (via GitHub)" <gi...@apache.org>.
dongjoon-hyun commented on PR #44882:
URL: https://github.com/apache/spark/pull/44882#issuecomment-1913969953

   To @mridulm , do you mean the test case is not reproducible from your environment, @mridulm ?


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Re: [PR] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler [spark]

Posted by "mridulm (via GitHub)" <gi...@apache.org>.
mridulm commented on PR #44882:
URL: https://github.com/apache/spark/pull/44882#issuecomment-1915407595

   @dongjoon-hyun I meant the stack traces indicating a deadlock.
   @fred-db thanks for the details - can you update the jira with the traces please ? That will ensure we can reference it in future as well.


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Re: [PR] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler [spark]

Posted by "mridulm (via GitHub)" <gi...@apache.org>.
mridulm commented on PR #44882:
URL: https://github.com/apache/spark/pull/44882#issuecomment-1913964514

   +CC @dongjoon-hyun, since you merged this PR - any insights into how/why this deadlock can occur ? It is not clear to me how this is happening.


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Re: [PR] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler [spark]

Posted by "dongjoon-hyun (via GitHub)" <gi...@apache.org>.
dongjoon-hyun commented on code in PR #44882:
URL: https://github.com/apache/spark/pull/44882#discussion_r1466638029


##########
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala:
##########
@@ -612,6 +612,42 @@ class DAGSchedulerSuite extends SparkFunSuite with TempLocalSparkContext with Ti
     assertDataStructuresEmpty()
   }
 
+  // Note that this test is NOT perfectly reproducible when there is a deadlock as it uses
+  // Thread.sleep, but it should never fail / flake when there is no deadlock.
+  // If this test starts to flake, this shows that there is a deadlock!

Review Comment:
   Got it. Thank you for warning.



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Re: [PR] [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler [spark]

Posted by "dongjoon-hyun (via GitHub)" <gi...@apache.org>.
dongjoon-hyun closed pull request #44882: [SPARK-46861][CORE] Avoid Deadlock in DAGScheduler
URL: https://github.com/apache/spark/pull/44882


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