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Posted to issues@spark.apache.org by "Fabian Thiele (Jira)" <ji...@apache.org> on 2021/09/16 14:04:00 UTC

[jira] [Created] (SPARK-36782) Deadlock between map-output-dispatcher and dispatcher-BlockManagerMaster upon migrating shuffle blocks

Fabian Thiele created SPARK-36782:
-------------------------------------

             Summary: Deadlock between map-output-dispatcher and dispatcher-BlockManagerMaster upon migrating shuffle blocks
                 Key: SPARK-36782
                 URL: https://issues.apache.org/jira/browse/SPARK-36782
             Project: Spark
          Issue Type: Bug
          Components: Block Manager
    Affects Versions: 3.1.2, 3.1.1, 3.1.0, 3.2.0, 3.1.3, 3.3.0, 3.2.1, 3.3
            Reporter: Fabian Thiele
         Attachments: spark_stacktrace_deadlock.txt

I can observe a deadlock on the driver that can be triggered rather reliably in a job with a larger amount of tasks - upon using
{code:java}
spark.decommission.enabled: true
spark.storage.decommission.rddBlocks.enabled: true
spark.storage.decommission.shuffleBlocks.enabled: true
spark.storage.decommission.enabled: true{code}
 

It origins in the {{dispatcher-BlockManagerMaster}} making a call to {{updateBlockInfo}} when shuffles are migrated. This is not performed by a thread from the pool but instead by the {{dispatcher-BlockManagerMaster}} itself. I suppose this was done under the assumption that this would be very fast. However if the block that is updated is a shuffle index block it calls
{code:java}
mapOutputTracker.updateMapOutput(shuffleId, mapId, blockManagerId){code}
for which it waits to acquire a write lock as part of the {{MapOutputTracker}}.

If the timing is bad then one of the {{map-output-dispatchers}} are holding this lock as part of e.g. {{serializedMapStatus}}. In this function {{MapOutputTracker.serializeOutputStatuses}} is called and as part of that we do
{code:java}
if (arrSize >= minBroadcastSize) {
 // Use broadcast instead.
 // Important arr(0) is the tag == DIRECT, ignore that while deserializing !
 // arr is a nested Array so that it can handle over 2GB serialized data
 val arr = chunkedByteBuf.getChunks().map(_.array())
 val bcast = broadcastManager.newBroadcast(arr, isLocal){code}
which makes an RPC call to {{dispatcher-BlockManagerMaster}}. That one however is unable to answer as it is blocked while waiting on the aforementioned lock. Hence the deadlock. The ingredients of this deadlock are therefore: sufficient size of the array to go the broadcast-path, as well as timing of incoming {{updateBlockInfo}} call as happens regularly during decommissioning. Potentially earlier versions than 3.1.0 are affected but I could not sufficiently conclude that.

I have a stacktrace of all driver threads showing the deadlock. However I can't seem to attach it to the initial bug report.

A coworker of mine wrote a patch that replicates the issue as a test case as well. Once able to technically attach it I will do so too.



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