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https://issues.apache.org/jira/browse/SPARK-6891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14507886#comment-14507886
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Ilya Ganelin commented on SPARK-6891:
-------------------------------------
[~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
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