Spark流媒体1.6.0 - 执行者弹跳

时间：2016-03-07 21:10:37

标签： apache-spark

我们正在使用在AWS EMR 4.3.x上运行的Spark Streaming 1.6.0，从而消耗Kinesis流中的数据。 用于在Spark 1.3.1中正常工作 迁移后，我们无法承受长时间的负载。 Ganglia显示群集的已用内存不断增长，直到达到某个限制而没有GC。 之后，有几个非常长的微批次（数十分钟而不是几秒钟）。 然后Spark开始杀死并弹回执行程序（一遍又一遍地完成），

基本上群集变得无法使用。 该问题在负载下，一次又一次是可重现的。 Spark没有杀死执行程序而导致GC失败的原因是什么？ 我们如何让集群运行数周（目前无法运行数小时）

欢迎任何输入。

我们在定义作业时使用以下定义：

function english {
    strings=("phrase1" "phrase2") 
    echo ${strings[$1]}
}
#Arrays are zero-based
english 1;

做一个

的联合 
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");

我已将我们的应用程序剥离为裸露的骨架以进行测试。 保持从字节流到字符串流的映射，然后转换为对象，过滤掉不相关的事件，然后保存并存储到S3。

eventStream = eventStream.persist（StorageLevel.MEMORY_AND_DISK_SER_2（））;

eventStream = eventStream.repartition（configuration.getSparkOutputPartitions（））; eventStream.foreachRDD（new RddByPartitionSaverFunction＆lt;＆gt;（new OutputToS3Function（）））;

使用以下配置提交Spark作业（通过默认Spark配置中的内存大小修改复制）：

KinesisUtils.createStream(streamingContext, appName,
                        kinesisStreamName, kinesisEndpoint, awsRegionName, initialPositionInStream, checkpointInterval,
                        StorageLevel.MEMORY_AND_DISK_2());

添加例外。 第一集群

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

第二次集群尝试：

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.

提前致谢...

1 个答案:

答案 0 :(得分：-2)

我确实得到了同样的东西......当一批微批完成时间超过120秒时，它会被解雇：

16/03/14 22:57:30 INFO SparkStreaming$: Batch size: 2500, total read: 4287800
16/03/14 22:57:35 INFO SparkStreaming$: Batch size: 2500, total read: 4290300
16/03/14 22:57:42 INFO SparkStreaming$: Batch size: 2500, total read: 4292800
16/03/14 22:57:45 INFO SparkStreaming$: Batch size: 2500, total read: 4295300
16/03/14 22:59:45 ERROR ContextCleaner: Error cleaning broadcast 11251
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

我在本地模式下运行并从Kinesis消费。我也没有使用任何广播变量。

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