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https://issues.apache.org/jira/browse/SPARK-17501?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-17501:
------------------------------------
Assignee: Apache Spark
> Re-register BlockManager again and again
> ----------------------------------------
>
> Key: SPARK-17501
> URL: https://issues.apache.org/jira/browse/SPARK-17501
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.6.2
> Reporter: cen yuhai
> Assignee: Apache Spark
> Priority: Minor
>
> After many times re-register, executor will exit because of timeout
> exception....
> {code}
> 16/09/11 04:02:42 INFO executor.Executor: Told to re-register on heartbeat
> 16/09/11 04:02:42 INFO storage.BlockManager: BlockManager re-registering with
> master
> 16/09/11 04:02:42 INFO storage.BlockManagerMaster: Trying to register
> BlockManager
> 16/09/11 04:02:42 INFO storage.BlockManagerMaster: Registered BlockManager
> 16/09/11 04:02:42 INFO storage.BlockManager: Reporting 0 blocks to the master.
> 16/09/11 04:02:52 INFO executor.Executor: Told to re-register on heartbeat
> 16/09/11 04:02:52 INFO storage.BlockManager: BlockManager re-registering with
> master
> 16/09/11 04:02:52 INFO storage.BlockManagerMaster: Trying to register
> BlockManager
> 16/09/11 04:02:52 INFO storage.BlockManagerMaster: Registered BlockManager
> 16/09/11 04:02:52 INFO storage.BlockManager: Reporting 0 blocks to the master.
> 16/09/11 04:03:02 INFO executor.Executor: Told to re-register on heartbeat
> 16/09/11 04:03:02 INFO storage.BlockManager: BlockManager re-registering with
> master
> 16/09/11 04:03:02 INFO storage.BlockManagerMaster: Trying to register
> BlockManager
> 16/09/11 04:03:02 INFO storage.BlockManagerMaster: Registered BlockManager
> 16/09/11 04:03:02 INFO storage.BlockManager: Reporting 0 blocks to the master.
> 16/09/11 04:03:12 INFO executor.Executor: Told to re-register on heartbeat
> 16/09/11 04:03:12 INFO storage.BlockManager: BlockManager re-registering with
> master
> 16/09/11 04:03:12 INFO storage.BlockManagerMaster: Trying to register
> BlockManager
> 16/09/11 04:03:12 INFO storage.BlockManagerMaster: Registered BlockManager
> 16/09/11 04:03:12 INFO storage.BlockManager: Reporting 0 blocks to the master.
> 16/09/11 04:03:22 INFO executor.Executor: Told to re-register on heartbeat
> 16/09/11 04:03:22 INFO storage.BlockManager: BlockManager re-registering with
> master
> 16/09/11 04:03:22 INFO storage.BlockManagerMaster: Trying to register
> BlockManager
> 16/09/11 04:03:22 INFO storage.BlockManagerMaster: Registered BlockManager
> 16/09/11 04:03:22 INFO storage.BlockManager: Reporting 0 blocks to the master.
> 16/09/11 04:03:32 INFO executor.Executor: Told to re-register on heartbeat
> 16/09/11 04:03:32 INFO storage.BlockManager: BlockManager re-registering with
> master
> 16/09/11 04:03:32 INFO storage.BlockManagerMaster: Trying to register
> BlockManager
> 16/09/11 04:03:32 INFO storage.BlockManagerMaster: Registered BlockManager
> 16/09/11 04:03:32 INFO storage.BlockManager: Reporting 0 blocks to the master.
> 16/09/11 04:03:42 INFO executor.Executor: Told to re-register on heartbeat
> 16/09/11 04:03:42 INFO storage.BlockManager: BlockManager re-registering with
> master
> 16/09/11 04:03:42 INFO storage.BlockManagerMaster: Trying to register
> BlockManager
> 16/09/11 04:03:42 INFO storage.BlockManagerMaster: Registered BlockManager
> 16/09/11 04:03:42 INFO storage.BlockManager: Reporting 0 blocks to the master.
> 16/09/11 04:03:45 ERROR executor.CoarseGrainedExecutorBackend: Cannot
> register with driver:
> spark://coarsegrainedschedu...@bigdata-arch-jms05.xg01.diditaxi.com:22168
> org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 120
> seconds. This timeout is controlled by spark.rpc.askTimeout
> 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$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
> at scala.util.Failure$$anonfun$recover$1.apply(Try.scala:185)
> at scala.util.Try$.apply(Try.scala:161)
> at scala.util.Failure.recover(Try.scala:185)
> at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:324)
> at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:324)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at
> org.spark-project.guava.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293)
> at
> scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:133)
> at
> scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
> at
> scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
> at scala.concurrent.Promise$class.complete(Promise.scala:55)
> at
> scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at
> scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.processBatch$1(Future.scala:643)
> at
> scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply$mcV$sp(Future.scala:658)
> at
> scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply(Future.scala:635)
> at
> scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply(Future.scala:635)
> at
> scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
> at
> scala.concurrent.Future$InternalCallbackExecutor$Batch.run(Future.scala:634)
> at
> scala.concurrent.Future$InternalCallbackExecutor$.scala$concurrent$Future$InternalCallbackExecutor$$unbatchedExecute(Future.scala:694)
> at
> scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:685)
> 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$$anon$1.run(NettyRpcEnv.scala:241)
> at
> java.util.concurrent.Executors$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)
> {code}
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