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Ilya Ganelin edited comment on SPARK-6891 at 4/22/15 8:59 PM: -------------------------------------------------------------- [~meiyoula] I'm running Spark 1.3 (from the released builds) and I tried your code in the spark shell on yarn as spark-shell --master yarn. I'm able to run it without issue, I can successfully run multiple calls to runSparkPi. Were you seeing this issue when running the trunk? was (Author: ilganeli): [~meiyoula] I'm running Spark 1.3 (from the released builds) and I tried your code in the spark shell on yarn as spark-shell --master. I'm able to run it without issue, I can successfully run multiple calls to runSparkPi. Were you seeing this issue when running the trunk? > ExecutorAllocationManager will request negative number executors > ---------------------------------------------------------------- > > Key: SPARK-6891 > URL: https://issues.apache.org/jira/browse/SPARK-6891 > Project: Spark > Issue Type: Bug > Components: Spark Core > Reporter: meiyoula > Priority: Critical > Attachments: DynamicExecutorTest.scala > > > Below is the exception: > 15/04/14 10:10:18 ERROR Utils: Uncaught exception in thread > spark-dynamic-executor-allocation-0 > java.lang.IllegalArgumentException: Attempted to request a negative > number of executor(s) -1 from the cluster manager. Please specify a positive > number! > at > org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.requestTotalExecutors(CoarseGrainedSchedulerBackend.scala:342) > at > org.apache.spark.SparkContext.requestTotalExecutors(SparkContext.scala:1170) > at > org.apache.spark.ExecutorAllocationManager.addExecutors(ExecutorAllocationManager.scala:294) > at > org.apache.spark.ExecutorAllocationManager.addOrCancelExecutorRequests(ExecutorAllocationManager.scala:263) > at > org.apache.spark.ExecutorAllocationManager.org$apache$spark$ExecutorAllocationManager$$schedule(ExecutorAllocationManager.scala:230) > at > org.apache.spark.ExecutorAllocationManager$$anon$1$$anonfun$run$1.apply$mcV$sp(ExecutorAllocationManager.scala:189) > at > org.apache.spark.ExecutorAllocationManager$$anon$1$$anonfun$run$1.apply(ExecutorAllocationManager.scala:189) > at > org.apache.spark.ExecutorAllocationManager$$anon$1$$anonfun$run$1.apply(ExecutorAllocationManager.scala:189) > at > org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1723) > at > org.apache.spark.ExecutorAllocationManager$$anon$1.run(ExecutorAllocationManager.scala:189) > at > java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) > at > java.util.concurrent.FutureTask$Sync.innerRunAndReset(FutureTask.java:351) > at > java.util.concurrent.FutureTask.runAndReset(FutureTask.java:178) > at > java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178) > at > java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603) > at java.lang.Thread.run(Thread.java:722) > Below is the configurations I setted: > spark.dynamicAllocation.enabled true > spark.dynamicAllocation.minExecutors 0 > spark.dynamicAllocation.initialExecutors 3 > spark.dynamicAllocation.maxExecutors 7 > spark.dynamicAllocation.executorIdleTimeout 30 > spark.shuffle.service.enabled true -- 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