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From "Mathieu D (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-20784) Spark hangs forever
Date Wed, 17 May 2017 09:24:04 GMT

    [ https://issues.apache.org/jira/browse/SPARK-20784?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16013784#comment-16013784
] 

Mathieu D commented on SPARK-20784:
-----------------------------------

Well, Spark is blocked, though. I had a couple of occurrences of this, and it seems to be
around ThreadUtils$.awaitResultInForkJoinSafely.
SPARK-18843 talks about that, but this JIRA is not detailed, so I can't tell for sure.

> Spark hangs forever
> -------------------
>
>                 Key: SPARK-20784
>                 URL: https://issues.apache.org/jira/browse/SPARK-20784
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.0.2
>            Reporter: Mathieu D
>
> Spark hangs and stop executing any job or task.
> Web UI shows 0 active task on executors.
> Our application runs several spark contexts for several users in parallel in threads.
> spark version 2.0.2, yarn-client
> Extract of thread stack below.
> {noformat}
> "ForkJoinPool-1-worker-0" #107 daemon prio=5 os_prio=0 tid=0x00007fddf0005800 nid=0x484
waiting on condition [0x00007fddd0bf
> 6000]
>    java.lang.Thread.State: WAITING (parking)
>         at sun.misc.Unsafe.park(Native Method)
>         - parking to wait for  <0x000000078c232760> (a scala.concurrent.impl.Promise$CompletionLatch)
>         at java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
>         at java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:836)
>         at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:997)
>         at java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1304)
>         at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:202)
>         at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
>         at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
>         at org.apache.spark.util.ThreadUtils$.awaitResultInForkJoinSafely(ThreadUtils.scala:212)
>         at org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecuteBroadcast(BroadcastExchangeExec.scala:120)
>         at org.apache.spark.sql.execution.InputAdapter.doExecuteBroadcast(WholeStageCodegenExec.scala:229)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:125)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:125)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>         at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
>         at org.apache.spark.sql.execution.SparkPlan.executeBroadcast(SparkPlan.scala:124)
>         at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.prepareBroadcast(BroadcastHashJoinExec.scala:98)
>         at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.codegenInner(BroadcastHashJoinExec.scala:197)
>         at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.doConsume(BroadcastHashJoinExec.scala:82)
>         at org.apache.spark.sql.execution.CodegenSupport$class.consume(WholeStageCodegenExec.scala:153)
>         at org.apache.spark.sql.execution.ProjectExec.consume(basicPhysicalOperators.scala:30)
>         at org.apache.spark.sql.execution.ProjectExec.doConsume(basicPhysicalOperators.scala:62)
>         at org.apache.spark.sql.execution.CodegenSupport$class.consume(WholeStageCodegenExec.scala:153)
>         at org.apache.spark.sql.execution.InputAdapter.consume(WholeStageCodegenExec.scala:218)
>         at org.apache.spark.sql.execution.InputAdapter.doProduce(WholeStageCodegenExec.scala:244)
>         at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
>         at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:78)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>         at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
>         at org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:78)
>         at org.apache.spark.sql.execution.InputAdapter.produce(WholeStageCodegenExec.scala:218)
>         at org.apache.spark.sql.execution.ProjectExec.doProduce(basicPhysicalOperators.scala:40)
>         at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
>         at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:78)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>         at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
>         at org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:78)
>         at org.apache.spark.sql.execution.ProjectExec.produce(basicPhysicalOperators.scala:30)
>         at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.doProduce(BroadcastHashJoinExec.scala:77)
>         at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
>         at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:78)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>         at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
>         at org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:78)
>         at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.produce(BroadcastHashJoinExec.scala:38)
>         at org.apache.spark.sql.execution.ProjectExec.doProduce(basicPhysicalOperators.scala:40)
>         at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
>         at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:78)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>         at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
>         at org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:78)
>         at org.apache.spark.sql.execution.ProjectExec.produce(basicPhysicalOperators.scala:30)
>         at org.apache.spark.sql.execution.WholeStageCodegenExec.doCodeGen(WholeStageCodegenExec.scala:309)
>         at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:347)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>         at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
>         at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
>         at org.apache.spark.sql.execution.exchange.ShuffleExchange.prepareShuffleDependency(ShuffleExchange.scala:87)
>         at org.apache.spark.sql.execution.exchange.ShuffleExchange$$anonfun$doExecute$1.apply(ShuffleExchange.scala:123)
>         at org.apache.spark.sql.execution.exchange.ShuffleExchange$$anonfun$doExecute$1.apply(ShuffleExchange.scala:114)
>         at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
>         at org.apache.spark.sql.execution.exchange.ShuffleExchange.doExecute(ShuffleExchange.scala:114)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>         at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
>         at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
>         at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:233)
>         at org.apache.spark.sql.execution.SortExec.inputRDDs(SortExec.scala:111)
>         at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:361)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>         at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
>         at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
>         at org.apache.spark.sql.execution.columnar.InMemoryRelation.buildBuffers(InMemoryRelation.scala:97)
>         at org.apache.spark.sql.execution.columnar.InMemoryRelation.<init>(InMemoryRelation.scala:86)
>         at org.apache.spark.sql.execution.columnar.InMemoryRelation$.apply(InMemoryRelation.scala:42)
>         at org.apache.spark.sql.execution.CacheManager$$anonfun$cacheQuery$1.apply(CacheManager.scala:98)
>         at org.apache.spark.sql.execution.CacheManager.writeLock(CacheManager.scala:65)
>         at org.apache.spark.sql.execution.CacheManager.cacheQuery(CacheManager.scala:89)
>         at org.apache.spark.sql.Dataset.persist(Dataset.scala:2301)
>         at org.apache.spark.sql.Dataset.cache(Dataset.scala:2311)
>         at com.bluedme.woda.ng.matcher.StrictMatchStrategy.buildJoinMap(StrictMatchStrategy.scala:172)
>         at com.bluedme.woda.ng.matcher.Matcher$$anonfun$evaluateMatching$1$$anonfun$apply$5$$anonfun$apply$6.apply(Matcher.scala:137)
>         at com.bluedme.woda.ng.matcher.Matcher$$anonfun$evaluateMatching$1$$anonfun$apply$5$$anonfun$apply$6.apply(Matcher.scala:137)
>         at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
>         at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
>         at java.util.concurrent.ForkJoinTask$RunnableExecuteAction.exec(ForkJoinTask.java:1402)
>         at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
>         at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
>         at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
>         at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:157)
> {noformat}
> jstack -F does not mention any deadlock.
> It already happened a couple of times, with similar stack (CompletionLatch), but not
always the same path in our application.



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