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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/04/30 01:52:13 UTC
[jira] [Assigned] (SPARK-15010) Lots of error messages about
accumulator in Spark shell when a task takes some time to run
[ https://issues.apache.org/jira/browse/SPARK-15010?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-15010:
------------------------------------
Assignee: Wenchen Fan (was: Apache Spark)
> Lots of error messages about accumulator in Spark shell when a task takes some time to run
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-15010
> URL: https://issues.apache.org/jira/browse/SPARK-15010
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Shell
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
> Assignee: Wenchen Fan
> Priority: Blocker
>
> I ran the following code in a Spark shell built with the latest master (87ac84d43729c54be100bb9ad7dc6e8fa14b8805) but got lots of error messages about accumulator. The job finished successfully, but the error messages made the shell very hard to use.
> {code}
> sc.parallelize(0 until 1, 1).foreach { _ => Thread.sleep(20000) }
> {code}
> cc: [~rxin] [~cloud_fan]
> Error messages:
> {code:none}
> 16/04/29 11:59:23 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 11:59:33 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@1cd9105c,BlockManagerId(driver, 192.168.99.1, 60533))] in 1 attempts
> org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 11:59:36 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 11:59:46 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@1cd9105c,BlockManagerId(driver, 192.168.99.1, 60533))] in 2 attempts
> org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 11:59:49 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 11:59:59 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@1cd9105c,BlockManagerId(driver, 192.168.99.1, 60533))] in 3 attempts
> org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 11:59:59 WARN Executor: Issue communicating with driver in heartbeater
> org.apache.spark.SparkException: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@1cd9105c,BlockManagerId(driver, 192.168.99.1, 60533))]
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:119)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> ... 13 more
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 11:59:59 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 12:00:09 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@18ea6519,BlockManagerId(driver, 192.168.99.1, 60533))] in 1 attempts
> org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 10 seconds. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
> at scala.util.Failure$$anonfun$recover$1.apply(Try.scala:216)
> at scala.util.Try$.apply(Try.scala:192)
> at scala.util.Failure.recover(Try.scala:216)
> at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326)
> at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at com.google.common.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293)
> at scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:136)
> at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
> at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
> at scala.concurrent.Promise$class.complete(Promise.scala:55)
> at scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.processBatch$1(BatchingExecutor.scala:63)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:78)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55)
> at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
> at scala.concurrent.BatchingExecutor$Batch.run(BatchingExecutor.scala:54)
> at scala.concurrent.Future$InternalCallbackExecutor$.unbatchedExecute(Future.scala:601)
> at scala.concurrent.BatchingExecutor$class.execute(BatchingExecutor.scala:106)
> at scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:599)
> at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
> at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
> at scala.concurrent.Promise$class.tryFailure(Promise.scala:112)
> at scala.concurrent.impl.Promise$DefaultPromise.tryFailure(Promise.scala:153)
> at org.apache.spark.rpc.netty.NettyRpcEnv.org$apache$spark$rpc$netty$NettyRpcEnv$$onFailure$1(NettyRpcEnv.scala:205)
> at org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:239)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Cannot receive any reply in 10 seconds
> ... 8 more
> 16/04/29 12:00:12 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 12:00:22 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@18ea6519,BlockManagerId(driver, 192.168.99.1, 60533))] in 2 attempts
> org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 10 seconds. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
> at scala.util.Failure$$anonfun$recover$1.apply(Try.scala:216)
> at scala.util.Try$.apply(Try.scala:192)
> at scala.util.Failure.recover(Try.scala:216)
> at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326)
> at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at com.google.common.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293)
> at scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:136)
> at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
> at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
> at scala.concurrent.Promise$class.complete(Promise.scala:55)
> at scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.processBatch$1(BatchingExecutor.scala:63)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:78)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55)
> at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
> at scala.concurrent.BatchingExecutor$Batch.run(BatchingExecutor.scala:54)
> at scala.concurrent.Future$InternalCallbackExecutor$.unbatchedExecute(Future.scala:601)
> at scala.concurrent.BatchingExecutor$class.execute(BatchingExecutor.scala:106)
> at scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:599)
> at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
> at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
> at scala.concurrent.Promise$class.tryFailure(Promise.scala:112)
> at scala.concurrent.impl.Promise$DefaultPromise.tryFailure(Promise.scala:153)
> at org.apache.spark.rpc.netty.NettyRpcEnv.org$apache$spark$rpc$netty$NettyRpcEnv$$onFailure$1(NettyRpcEnv.scala:205)
> at org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:239)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Cannot receive any reply in 10 seconds
> ... 8 more
> 16/04/29 12:00:25 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 12:00:35 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@18ea6519,BlockManagerId(driver, 192.168.99.1, 60533))] in 3 attempts
> org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 12:00:35 WARN Executor: Issue communicating with driver in heartbeater
> org.apache.spark.SparkException: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@18ea6519,BlockManagerId(driver, 192.168.99.1, 60533))]
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:119)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> ... 13 more
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 12:00:35 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 12:00:45 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@2f77feb,BlockManagerId(driver, 192.168.99.1, 60533))] in 1 attempts
> org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 12:00:48 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 12:00:58 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@2f77feb,BlockManagerId(driver, 192.168.99.1, 60533))] in 2 attempts
> org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 12:01:01 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 12:01:11 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@2f77feb,BlockManagerId(driver, 192.168.99.1, 60533))] in 3 attempts
> org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 12:01:11 WARN Executor: Issue communicating with driver in heartbeater
> org.apache.spark.SparkException: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@2f77feb,BlockManagerId(driver, 192.168.99.1, 60533))]
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:119)
> at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:494)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:523)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1793)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:523)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> ... 13 more
> Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:190)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
> ... 14 more
> 16/04/29 12:01:11 ERROR Utils: Uncaught exception in thread heartbeat-receiver-event-loop-thread
> java.lang.UnsupportedOperationException: Can't read accumulator value in task
> at org.apache.spark.NewAccumulator.value(NewAccumulator.scala:137)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9$$anonfun$apply$10.apply(TaskSchedulerImpl.scala:394)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:394)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5$$anonfun$apply$9.apply(TaskSchedulerImpl.scala:392)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:392)
> at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$5.apply(TaskSchedulerImpl.scala:391)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatReceived(TaskSchedulerImpl.scala:391)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:128)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1219)
> at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run(HeartbeatReceiver.scala:127)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 16/04/29 12:01:21 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;@6837d38f,BlockManagerId(driver, 192.168.99.1, 60533))] in 1 attempts
> org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 10 seconds. This timeout is controlled by spark.executor.heartbeatInterval
> at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
> at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
> at scala.util.Failure$$anonfun$recover$1.apply(Try.scala:216)
> at scala.util.Try$.apply(Try.scala:192)
> at scala.util.Failure.recover(Try.scala:216)
> at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326)
> at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at com.google.common.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293)
> at scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:136)
> at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
> at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
> at scala.concurrent.Promise$class.complete(Promise.scala:55)
> at scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.processBatch$1(BatchingExecutor.scala:63)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:78)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55)
> at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55)
> at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
> at scala.concurrent.BatchingExecutor$Batch.run(BatchingExecutor.scala:54)
> at scala.concurrent.Future$InternalCallbackExecutor$.unbatchedExecute(Future.scala:601)
> at scala.concurrent.BatchingExecutor$class.execute(BatchingExecutor.scala:106)
> at scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:599)
> at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
> at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
> at scala.concurrent.Promise$class.tryFailure(Promise.scala:112)
> at scala.concurrent.impl.Promise$DefaultPromise.tryFailure(Promise.scala:153)
> at org.apache.spark.rpc.netty.NettyRpcEnv.org$apache$spark$rpc$netty$NettyRpcEnv$$onFailure$1(NettyRpcEnv.scala:205)
> at org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:239)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.concurrent.TimeoutException: Cannot receive any reply in 10 seconds
> ... 8 more
> {code}
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