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Wir verwenden Spark Streaming 1.6.0 auf AWS EMR 4.3.x, Daten aus einem Kinesis-Stream konsumieren. Wird verwendet, um in Spark korrekt zu funktionieren 1.3.1 Nach der Migration können wir der Last nicht lange standhalten. Ganglia zeigt, dass der verwendete Speicher des Clusters weiter wächst, bis ein Limit ohne GC erreicht wird. Danach gibt es mehrere wirklich lange Mikro-Chargen (in Dutzenden von Minuten anstelle von mehreren Sekunden). Und dann beginnt Spark zu töten und Bouncing Executoren (immer und immer wieder getan),Spark Streaming 1.6.0 - Executors Bouncing
Grundsätzlich wird der Cluster unbrauchbar. Das Problem ist reproduzierbar unter Last, von Zeit zu Zeit. Was könnte der Grund dafür sein, dass Spark zu GC gescheitert ist, ohne Executoren zu töten? Wie können wir den Cluster für Wochen laufen lassen (derzeit kann es nicht für Stunden laufen)
Jede Eingabe ist willkommen.
Wir verwenden die folgenden Definitionen, wenn der Definition eines Jobs:
sparkConf.set("spark.shuffle.consolidateFiles", "true");
sparkConf.set("spark.storage.memoryFraction", "0.5");
sparkConf.set("spark.streaming.backpressure.enabled", "true");
sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
Doing eine Vereinigung von
KinesisUtils.createStream(streamingContext, appName,
kinesisStreamName, kinesisEndpoint, awsRegionName, initialPositionInStream, checkpointInterval,
StorageLevel.MEMORY_AND_DISK_2());
ich unsere Anwendung zu einem bloßen Skelett für die Tests ausgezogen haben. Keep-Karte von Byte-Stream zu String Stream, dann in Objekte konvertieren, irrelevante Ereignisse ausfiltern, dann persistieren und nach S3 speichern.
eventStream = eventStream.persist (StorageLevel.MEMORY_AND_DISK_SER_2());
eventStream = eventStream.repartition (configuration.getSparkOutputPartitions()); eventStream.foreachRDD (neue RddByPartitionSaverFunction <> (neue OutputToS3Function()));
Funkenjob wird mit folgenden Konfiguration (kopiert mit Speichergröße Modifikation aus dem Standard-Spark-config) vorgelegt:
spark.executor.extraJavaOptions -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:MaxHeapFreeRatio=70 -XX:+CMSClassUnloadingEnabled -XX:OnOutOfMemoryError='kill -9 %p' -XX:PermSize=256M -XX:MaxPermSize=256M
spark.driver.extraJavaOptions -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:MaxHeapFreeRatio=70 -XX:+CMSClassUnloadingEnabled -XX:OnOutOfMemoryError='kill -9 %p' -XX:PermSize=512M -XX:MaxPermSize=512M
Hinzufügen von Ausnahmen. 1-st-Cluster
16/03/06 13:54:52 WARN BlockManagerMaster: Failed to remove broadcast 1327 with removeFromMaster = true - Cannot receive any reply in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
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$$anon$1.run(NettyRpcEnv.scala:241)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:178)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:292)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.util.concurrent.TimeoutException: Cannot receive any reply in 120 seconds
at org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:242)
... 7 more
16/03/06 13:54:52 ERROR ContextCleaner: Error cleaning broadcast 1327
org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [120 seconds]. This timeout is controlled by spark.rpc.askTimeout
at org.apache.spark.rpc.RpcTimeout.org$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$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:76)
at org.apache.spark.storage.BlockManagerMaster.removeBroadcast(BlockManagerMaster.scala:136)
at org.apache.spark.broadcast.TorrentBroadcast$.unpersist(TorrentBroadcast.scala:228)
at org.apache.spark.broadcast.TorrentBroadcastFactory.unbroadcast(TorrentBroadcastFactory.scala:45)
at org.apache.spark.broadcast.BroadcastManager.unbroadcast(BroadcastManager.scala:67)
at org.apache.spark.ContextCleaner.doCleanupBroadcast(ContextCleaner.scala:233)
at org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1$$anonfun$apply$mcV$sp$2.apply(ContextCleaner.scala:189)
at org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1$$anonfun$apply$mcV$sp$2.apply(ContextCleaner.scala:180)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1.apply$mcV$sp(ContextCleaner.scala:180)
at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1180)
at org.apache.spark.ContextCleaner.org$apache$spark$ContextCleaner$$keepCleaning(ContextCleaner.scala:173)
at org.apache.spark.ContextCleaner$$anon$3.run(ContextCleaner.scala:68)
Caused by: java.util.concurrent.TimeoutException: Futures timed out after [120 seconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at scala.concurrent.Await$$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.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
... 12 more
16/03/06 13:55:04 ERROR YarnClusterScheduler: Lost executor 6 on ip-***-194.ec2.internal: Container killed by YARN for exceeding memory limits. 11.3 GB of 11.3 GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead.
1
16/03/06 13:55:10 ERROR YarnClusterScheduler: Lost executor 1 on ip-***-193.ec2.internal: Container killed by YARN for exceeding memory limits. 11.3 GB of 11.3 GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead.
zweiter Cluster Versuch:
16/03/07 14:24:38 ERROR server.TransportChannelHandler: Connection to ip-***-22.ec2.internal/N.N.N.22:40791 has been quiet for 120000 ms while there are outstanding requests. Assuming connection is dead; please adjust spark.network.timeout if this is wrong.
16/03/07 14:24:38 ERROR client.TransportResponseHandler: Still have 12 requests outstanding when connection from ip-***-22.ec2.internal/N.N.N.22:40791 is closed
16/03/07 14:24:38 ERROR netty.NettyBlockTransferService: Error while uploading block input-47-1457357970366
java.io.IOException: Connection from ip-***-22.ec2.internal/N.N.N.22:40791 closed
at org.apache.spark.network.client.TransportResponseHandler.channelUnregistered(TransportResponseHandler.java:124)
at org.apache.spark.network.server.TransportChannelHandler.channelUnregistered(TransportChannelHandler.java:94)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.DefaultChannelPipeline.fireChannelUnregistered(DefaultChannelPipeline.java:739)
at io.netty.channel.AbstractChannel$AbstractUnsafe$8.run(AbstractChannel.java:659)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
at java.lang.Thread.run(Thread.java:745)
16/03/07 14:24:38 ERROR netty.NettyBlockTransferService: Error while uploading block input-15-1457357969730
java.io.IOException: Connection from ip-***-22.ec2.internal/N.N.N.22:40791 closed
at org.apache.spark.network.client.TransportResponseHandler.channelUnregistered(TransportResponseHandler.java:124)
at org.apache.spark.network.server.TransportChannelHandler.channelUnregistered(TransportChannelHandler.java:94)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
a.io.IOException: Connection from ip-***-22.ec2.internal/N.N.N.22:40791 closed
at org.apache.spark.network.client.TransportResponseHandler.channelUnregistered(TransportResponseHandler.java:124)
at org.apache.spark.network.server.TransportChannelHandler.channelUnregistered(TransportChannelHandler.java:94)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.DefaultChannelPipeline.fireChannelUnregistered(DefaultChannelPipeline.java:739)
at io.netty.channel.AbstractChannel$AbstractUnsafe$8.run(AbstractChannel.java:659)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
at java.lang.Thread.run(Thread.java:745)
t io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
at io.netty.channel.DefaultChannelPipeline.fireChannelUnregistered(DefaultChannelPipeline.java:739)
at io.netty.channel.AbstractChannel$AbstractUnsafe$8.run(AbstractChannel.java:659)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
at java.lang.Thread.run(Thread.java:745)
Vielen Dank im Voraus ...
Haben Sie eine Lösung oder das Problem gefunden? –
Hallo. Nein, wir haben noch keine Lösung gefunden. Das Problem ist nur mit einer großen Anzahl von Kinesis-Shards (120) reproduzierbar. Nur dann beginnen die Executoren zu springen. Ideen? Dank – visitor
Executor Bouncing gestoppt in Spark 2.0.0 (EMR 5.0.0). Es ist ein neues Problem aufgetreten, das eine lange Ausführung derselben Anwendung verhindert: http: // stackoverflow.com/questions/39289345/spark-streaming-2-0-0-freezes-nach-mehreren-Tagen-unter-Last – visitor