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Steven Ruppert commented on SPARK-19870: ---------------------------------------- ok, I can get that. trace logging as in slf4j TRACE level on org.apache.spark, or something else? I suppose it's worth noting that I've seen my jobs hit the "Dropping SparkListenerEvent because no remaining room in event queue. " on the master, though I don't think I saw it at the same time as this deadlock. > Repeatable deadlock on BlockInfoManager and TorrentBroadcast > ------------------------------------------------------------ > > Key: SPARK-19870 > URL: https://issues.apache.org/jira/browse/SPARK-19870 > Project: Spark > Issue Type: Bug > Components: Block Manager, Shuffle > Affects Versions: 2.0.2, 2.1.0 > Environment: ubuntu linux 14.04 x86_64 on ec2, hadoop cdh 5.10.0, > yarn coarse-grained. > Reporter: Steven Ruppert > Attachments: stack.txt > > > Running what I believe to be a fairly vanilla spark job, using the RDD api, > with several shuffles, a cached RDD, and finally a conversion to DataFrame to > save to parquet. I get a repeatable deadlock at the very last reducers of one > of the stages. > Roughly: > {noformat} > "Executor task launch worker-6" #56 daemon prio=5 os_prio=0 > tid=0x00007fffd88d3000 nid=0x1022b9 waiting for monitor entry > [0x00007fffb95f3000] > java.lang.Thread.State: BLOCKED (on object monitor) > at > org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:207) > - waiting to lock <0x00000005445cfc00> (a > org.apache.spark.broadcast.TorrentBroadcast$) > at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1269) > at > org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:206) > at > org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:66) > - locked <0x00000005b12f2290> (a > org.apache.spark.broadcast.TorrentBroadcast) > at > org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:66) > at > org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:96) > at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:86) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > {noformat} > and > {noformat} > "Executor task launch worker-5" #55 daemon prio=5 os_prio=0 > tid=0x00007fffd88d0000 nid=0x1022b8 in Object.wait() [0x00007fffb96f4000] > java.lang.Thread.State: WAITING (on object monitor) > at java.lang.Object.wait(Native Method) > at java.lang.Object.wait(Object.java:502) > at > org.apache.spark.storage.BlockInfoManager.lockForReading(BlockInfoManager.scala:202) > - locked <0x0000000545736b58> (a > org.apache.spark.storage.BlockInfoManager) > at > org.apache.spark.storage.BlockManager.getLocalValues(BlockManager.scala:444) > at > org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:210) > - locked <0x00000005445cfc00> (a > org.apache.spark.broadcast.TorrentBroadcast$) > at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1269) > at > org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:206) > at > org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:66) > - locked <0x000000059711eb10> (a > org.apache.spark.broadcast.TorrentBroadcast) > at > org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:66) > at > org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:96) > at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:86) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > {noformat} > A full stack trace is attached, but those seem to be the offending threads. > This happens across several different executors, and has persisted through > several runs of the same job across spark 2.1.0 and 2.0.2. I also tried > killing individual executors to "unstick" the job, to no avail. > I haven't yet narrowed down the job itself to something publicly repeatable, > but hopefully the stacktraces are enough to start debugging. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org