>
>
> Hi,
>
> I am running my graphx application on Spark 1.2.0(11 nodes cluster), has
> requested 30GB memory per node and 100 cores for around 1GB input dataset(5
> million vertices graph).
>
> But the error below always happen…
>
> Is there anyone could give me some points?
>
> (BTW, the overall edge/vertex RDDs will reach more than 100GB during graph
> computation, and another version of my application can work well on the same
> dataset while it need much less memory during computation)
>
> Thanks in advance!!!
>
>
> 15/01/29 18:05:08 ERROR ContextCleaner: Error cleaning broadcast 60
> java.util.concurrent.TimeoutException: Futures timed out after [30 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$$anonfun$result$1.apply(package.scala:107)
> at
> scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:107)
> at
> org.apache.spark.storage.BlockManagerMaster.removeBroadcast(BlockManagerMaster.scala:137)
> at
> org.apache.spark.broadcast.TorrentBroadcast$.unpersist(TorrentBroadcast.scala:227)
> at
> org.apache.spark.broadcast.TorrentBroadcastFactory.unbroadcast(TorrentBroadcastFactory.scala:45)
> at
> org.apache.spark.broadcast.BroadcastManager.unbroadcast(BroadcastManager.scala:66)
> at
> org.apache.spark.ContextCleaner.doCleanupBroadcast(ContextCleaner.scala:185)
> at
> org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1$$anonfun$apply$mcV$sp$2.apply(ContextCleaner.scala:147)
> at
> org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1$$anonfun$apply$mcV$sp$2.apply(ContextCleaner.scala:138)
> at scala.Option.foreach(Option.scala:236)
> at
> org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1.apply$mcV$sp(ContextCleaner.scala:138)
> at
> org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1.apply(ContextCleaner.scala:134)
> at
> org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1.apply(ContextCleaner.scala:134)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1460)
> at org.apache.spark.ContextCleaner.org
> <http://org.apache.spark.contextcleaner.org/>$apache$spark$ContextCleaner$$keepCleaning(ContextCleaner.scala:133)
> at org.apache.spark.ContextCleaner$$anon$3.run(ContextCleaner.scala:65)
> [Stage 91:===================> (2 + 4) /
> 6]15/01/29 18:08:15 ERROR SparkDeploySchedulerBackend: Asked to remove
> non-existent executor 0
> [Stage 93:================================> (29 + 20) /
> 49]15/01/29 23:47:03 ERROR TaskSchedulerImpl: Lost executor 9 on
> small11-tap1.common.lip6.fr <http://small11-tap1.common.lip6.fr/>: remote
> Akka client disassociated
> [Stage 83:> (1 + 0) / 6][Stage 86:> (0 + 1) / 2][Stage 88:> (0 + 2) /
> 8]15/01/29 23:47:06 ERROR SparkDeploySchedulerBackend: Asked to remove
> non-existent executor 9
> [Stage 83:===============> (5 + 1) / 6][Stage 88:=============> (9 + 2) /
> 11]15/01/29 23:57:30 ERROR TaskSchedulerImpl: Lost executor 8 on
> small10-tap1.common.lip6.fr <http://small10-tap1.common.lip6.fr/>: remote
> Akka client disassociated
> 15/01/29 23:57:30 ERROR SparkDeploySchedulerBackend: Asked to remove
> non-existent executor 8
> 15/01/29 23:57:30 ERROR SparkDeploySchedulerBackend: Asked to remove
> non-existent executor 8
>
> Best,
> Yifan LI
>
>
>
>
>
