[jira] [Created] (SPARK-24523) InterruptedException when closing SparkContext

["Umayr Hassan (JIRA)" <ji...@apache.org>]

Umayr Hassan created SPARK-24523:
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             Summary: InterruptedException when closing SparkContext
                 Key: SPARK-24523
                 URL: https://issues.apache.org/jira/browse/SPARK-24523
             Project: Spark
          Issue Type: Bug
          Components: Scheduler
    Affects Versions: 2.3.0
         Environment: EMR 5.12.0, S3/HDFS inputs and outputs

 

 

 
            Reporter: Umayr Hassan


I'm running a Scala application in EMR with the following properties:

{{--master yarn --deploy-mode cluster --driver-memory 13g --executor-memory 30g --executor-cores 5 --conf spark.default.parallelism=400 --conf spark.dynamicAllocation.enabled=true --conf spark.dynamicAllocation.maxExecutors=20 --conf spark.eventLog.dir=hdfs:///var/log/spark/apps --conf spark.eventLog.enabled=true --conf spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version=2 --conf spark.scheduler.listenerbus.eventqueue.capacity=20000 --conf spark.shuffle.service.enabled=true --conf spark.sql.shuffle.partitions=400 --conf spark.yarn.maxAppAttempts=1}}

The application runs fine till SparkContext is (automatically) closed, at which point the SparkContext object throws. 

{{18/06/10 10:44:43 ERROR Utils: Uncaught exception in thread pool-4-thread-1 java.lang.InterruptedException at java.lang.Object.wait(Native Method) at java.lang.Thread.join(Thread.java:1252) at java.lang.Thread.join(Thread.java:1326) at org.apache.spark.scheduler.AsyncEventQueue.stop(AsyncEventQueue.scala:133) at org.apache.spark.scheduler.LiveListenerBus$$anonfun$stop$1.apply(LiveListenerBus.scala:219) at org.apache.spark.scheduler.LiveListenerBus$$anonfun$stop$1.apply(LiveListenerBus.scala:219) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at org.apache.spark.scheduler.LiveListenerBus.stop(LiveListenerBus.scala:219) at org.apache.spark.SparkContext$$anonfun$stop$6.apply$mcV$sp(SparkContext.scala:1915) at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1357) at org.apache.spark.SparkContext.stop(SparkContext.scala:1914) at org.apache.spark.SparkContext$$anonfun$2.apply$mcV$sp(SparkContext.scala:572) at org.apache.spark.util.SparkShutdownHook.run(ShutdownHookManager.scala:216) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(ShutdownHookManager.scala:188) at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1988) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply$mcV$sp(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(ShutdownHookManager.scala:188) at scala.util.Try$.apply(Try.scala:192) at org.apache.spark.util.SparkShutdownHookManager.runAll(ShutdownHookManager.scala:188) at org.apache.spark.util.SparkShutdownHookManager$$anon$2.run(ShutdownHookManager.scala:178) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)}}

 

I've not seen this behavior in Spark 2.0.2 and Spark 2.2.0 (for the same application), so I'm not sure which change is causing Spark 2.3 to throw. Any ideas?

best,

Umayr



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