java.util.concurrent.RejectedExecutionException

Task java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask@4207852d rejected from java.util.concurrent.ScheduledThreadPoolExecutor@2c829dbc[Terminated, pool size = 0, active threads = 0, queued tasks = 0, completed tasks = 0]

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  • Stack trace

    • java.util.concurrent.RejectedExecutionException: Task java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask@4207852d rejected from java.util.concurrent.ScheduledThreadPoolExecutor@2c829dbc[Terminated, pool size = 0, active threads = 0, queued tasks = 0, completed tasks = 0] at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2047) at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:823) at java.util.concurrent.ScheduledThreadPoolExecutor.delayedExecute(ScheduledThreadPoolExecutor.java:326) at java.util.concurrent.ScheduledThreadPoolExecutor.schedule(ScheduledThreadPoolExecutor.java:533) at org.apache.spark.rpc.netty.NettyRpcEnv.ask(NettyRpcEnv.scala:238) at org.apache.spark.rpc.netty.NettyRpcEndpointRef.ask(NettyRpcEnv.scala:509) at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:100) at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77) at org.apache.spark.streaming.scheduler.ReceiverTracker.stop(ReceiverTracker.scala:170) at org.apache.spark.streaming.scheduler.JobScheduler.stop(JobScheduler.scala:93) at org.apache.spark.streaming.StreamingContext.stop(StreamingContext.scala:709) at org.apache.spark.streaming.StreamingContext.stop(StreamingContext.scala:682) at org.apache.spark.streaming.api.java.JavaStreamingContext.stop(JavaStreamingContext.scala:662) at bigdata.spark_0_1.spark.runJobInTOS(spark.java:898) at bigdata.spark_0_1.spark.main(spark.java:773)

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