[jira] [Updated] (SPARK-13906) Spark driver hangs when slave is started or stopped (org.apache.spark.rpc.RpcTimeoutException).
[
https://issues.apache.org/jira/browse/SPARK-13906?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen updated SPARK-13906:
--
Assignee: Yonathan Randolph
> Spark driver hangs when slave is started or stopped
> (org.apache.spark.rpc.RpcTimeoutException).
> ---
>
> Key: SPARK-13906
> URL: https://issues.apache.org/jira/browse/SPARK-13906
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 1.6.1
> Environment: Machine with one core (e.g. ec2 t2.small)
>Reporter: Yonathan Randolph
>Assignee: Yonathan Randolph
>Priority: Minor
> Fix For: 2.0.0
>
>
> When a slave is started or stopped and there is only one core, the spark
> driver hangs. Example:
> {code}
> spark-1.6.1-bin-hadoop2.6/sbin/start-master.sh
> spark-1.6.1-bin-hadoop2.6/sbin/start-slave.sh $(hostname):7077
> spark-1.6.1-bin-hadoop2.6/bin/spark-shell --master spark://$(hostname):7077
> spark> sc.parallelize(1 to 300, 20).map(x => {Thread.sleep(100);
> x*2}).collect()
> # While that is running, kill a slave
> spark-1.6.1-bin-hadoop2.6/sbin/stop-slave.sh
> {code}
> After 2 minutes, spark-shell spits out an error:
> {code}
> 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$$anon$1.run(NettyRpcEnv.scala:241)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
>
[jira] [Updated] (SPARK-13906) Spark driver hangs when slave is started or stopped (org.apache.spark.rpc.RpcTimeoutException).
[
https://issues.apache.org/jira/browse/SPARK-13906?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yonathan Randolph updated SPARK-13906:
--
Description:
When a slave is started or stopped and there is only one core, the spark driver
hangs. Example:
{code}
spark-1.6.1-bin-hadoop2.6/sbin/start-master.sh
spark-1.6.1-bin-hadoop2.6/sbin/start-slave.sh $(hostname):7077
spark-1.6.1-bin-hadoop2.6/bin/spark-shell --master spark://$(hostname):7077
spark> sc.parallelize(1 to 300, 20).map(x => {Thread.sleep(100); x*2}).collect()
# While that is running, kill a slave
spark-1.6.1-bin-hadoop2.6/sbin/stop-slave.sh
{code}
After 2 minutes, spark-shell spits out an error:
{code}
org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 120
seconds. This timeout is controlled by spark.rpc.askTimeout
at
org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$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)
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
120 seconds
at
org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:242)
... 7 more
{code}
Cause: When 1 == Runtime.getRuntime.availableProcessors(), by default there is
only one dispatcher-event-loop thread (Dispatcher.scala). When any function on
the dispatcher tries to ask a message to any endpoint on the same process, it
blocks (e.g. when AppClient handles ExecutorUpdated by asking
CoarseGrainedSchedulerBackend a RemoveExecutor message). Here is a jstack of
the dispatcher thread:
