Devaraj K created SPARK-8754: -------------------------------- Summary: YarnClientSchedulerBackend doesn't stop gracefully in failure conditions Key: SPARK-8754 URL: https://issues.apache.org/jira/browse/SPARK-8754 Project: Spark Issue Type: Bug Components: YARN Affects Versions: 1.4.0 Reporter: Devaraj K Priority: Minor
{code:xml} java.lang.NullPointerException at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.stop(YarnClientSchedulerBackend.scala:151) at org.apache.spark.scheduler.TaskSchedulerImpl.stop(TaskSchedulerImpl.scala:421) at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:1447) at org.apache.spark.SparkContext.stop(SparkContext.scala:1651) at org.apache.spark.SparkContext.<init>(SparkContext.scala:572) at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:28) at org.apache.spark.examples.SparkPi.main(SparkPi.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:621) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:170) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) {code} If the application has FINISHED/FAILED/KILLED or failed to launch application master, monitorThread is not getting initialized but monitorThread.interrupt() is getting invoked as part of stop() without any check and It is causing to throw NPE and also it is preventing to stop the client. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org