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Umayr Hassan updated SPARK-24523: --------------------------------- Attachment: spark-stop-jstack.log.1 > 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, 2.3.1 > Environment: EMR 5.14.0, S3/HDFS inputs and outputs; EMR 5.17 > > > > Reporter: Umayr Hassan > Priority: Major > Attachments: spark-stop-jstack.log.1 > > > 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 -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org