1. ERROR SparkContext: Error initializing SparkContext.
com.typesafe.config.ConfigException$Missing: No configuration setting found for key 'akka.version'
com.typesafe.config.ConfigException$Missing: No configuration setting found for key 'akka.version'
具體錯誤信息如下：
產生錯誤的背景描述：
我將項目打成jar包上傳至linux服務器，運行jar包下的某個類下的main方法，main方法是spark程序的入口函數（採用local模式）
java -classpath xxx.jar com.xxx.Test解決方法：將spark-assembly-1.5.2-hadoop2.3.0.jar加入classpath
java -classpath spark-assembly-1.5.2-hadoop2.3.0.jar:xxx.jar com.xxx.Test2. FAILED [email protected]:4040: java.net.BindException: Address already in use: bind
java.net.BindException: Address already in use: bind
java.net.BindException: Address already in use: bind
at sun.nio.ch.Net.bind0(Native Method)
at sun.nio.ch.Net.bind(Net.java:437)
at sun.nio.ch.Net.bind(Net.java:429)
at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:223)
at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74)
at org.spark-project.jetty.server.nio.SelectChannelConnector.open(SelectChannelConnector.java:187)
at org.spark-project.jetty.server.AbstractConnector.doStart(AbstractConnector.java:316)
at org.spark-project.jetty.server.nio.SelectChannelConnector.doStart(SelectChannelConnector.java:265)
at org.spark-project.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:64)
at org.spark-project.jetty.server.Server.doStart(Server.java:293)
at org.spark-project.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:64)
at org.apache.spark.ui.JettyUtils$.org$apache$spark$ui$JettyUtils$$connect$1(JettyUtils.scala:236)
at org.apache.spark.ui.JettyUtils$$anonfun$3.apply(JettyUtils.scala:246)
at org.apache.spark.ui.JettyUtils$$anonfun$3.apply(JettyUtils.scala:246)
at org.apache.spark.util.Utils$$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:1920)
at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:1911)
at org.apache.spark.ui.JettyUtils$.startJettyServer(JettyUtils.scala:246)
at org.apache.spark.ui.WebUI.bind(WebUI.scala:136)
at org.apache.spark.SparkContext$$anonfun$13.apply(SparkContext.scala:474)
at org.apache.spark.SparkContext$$anonfun$13.apply(SparkContext.scala:474)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:474)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:61)
at com.vip.spark.detective.netty.NettyServerHandler.channelRead0(NettyServerHandler.java:33)
at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:244)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:846)
at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:137)
at java.lang.Thread.run(Thread.java:745)產生錯誤的背景描述：
發送一個請求到netty server，netty server啓動一個spark 程序，spark 程序的執行結果返回給netty client,關閉netty client，再起一個netty client，就出現上面的情況。
分析：spark應用程序提交的時候是首先從4040端口開始的，如果被佔用，會使用4041，如果還被佔用，就使用4042，一直輪詢下去。也可以在程序中配置 spark.ui.port 屬性使用指定端口。上述案例中由於上一個spark 程序沒有正常結束，才導致端口一直被佔用。
解決方法：sparkConf.set("spark.driver.allowMultipleContexts","true");
4. akka.actor.ActorNotFound: Actor not found for: ActorSelection[Anchor(akka.tcp://[email protected]:7070/), Path(/user/Master)]
akka.actor.ActorNotFound: Actor not found for: ActorSelection[Anchor(akka.tcp://[email protected]:7070/), Path(/user/Master)]
at akka.actor.ActorSelection$$anonfun$resolveOne$1.apply(ActorSelection.scala:65)
at akka.actor.ActorSelection$$anonfun$resolveOne$1.apply(ActorSelection.scala:63)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
at akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:55)
at akka.dispatch.BatchingExecutor$Batch.run(BatchingExecutor.scala:73)
at akka.dispatch.ExecutionContexts$sameThreadExecutionContext$.unbatchedExecute(Future.scala:74)
at akka.dispatch.BatchingExecutor$class.execute(BatchingExecutor.scala:120)
at akka.dispatch.ExecutionContexts$sameThreadExecutionContext$.execute(Future.scala:73)
at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
at akka.pattern.PromiseActorRef.$bang(AskSupport.scala:266)
at akka.actor.EmptyLocalActorRef.specialHandle(ActorRef.scala:533)
at akka.actor.DeadLetterActorRef.specialHandle(ActorRef.scala:569)
at akka.actor.DeadLetterActorRef.$bang(ActorRef.scala:559)
at akka.remote.RemoteActorRefProvider$RemoteDeadLetterActorRef.$bang(RemoteActorRefProvider.scala:87)
at akka.remote.EndpointWriter.postStop(Endpoint.scala:557)
at akka.actor.Actor$class.aroundPostStop(Actor.scala:477)
at akka.remote.EndpointActor.aroundPostStop(Endpoint.scala:411)
at akka.actor.dungeon.FaultHandling$class.akka$actor$dungeon$FaultHandling$$finishTerminate(FaultHandling.scala:210)
at akka.actor.dungeon.FaultHandling$class.terminate(FaultHandling.scala:172)
at akka.actor.ActorCell.terminate(ActorCell.scala:369)
at akka.actor.ActorCell.invokeAll$1(ActorCell.scala:462)
at akka.actor.ActorCell.systemInvoke(ActorCell.scala:478)
at akka.dispatch.Mailbox.processAllSystemMessages(Mailbox.scala:263)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
16/01/27 15:33:22 INFO AppClient$ClientEndpoint: Connecting to master spark://xx.xx.xx.xx:7070...
16/01/27 15:33:22 ERROR SparkUncaughtExceptionHandler: Uncaught exception in thread Thread[appclient-registration-retry-thread,5,main]
java.util.concurrent.RejectedExecutionException: Task java.util.concurrent.FutureTask@4ebb32b1 rejected from java.util.concurrent.ThreadPoolExecutor@63fd2ad8[Running, pool size = 1, active threads = 0, queued tasks = 0, completed tasks = 3]
at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2048)
at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:821)
at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1372)
at java.util.concurrent.AbstractExecutorService.submit(AbstractExecutorService.java:110)
at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anonfun$tryRegisterAllMasters$1.apply(AppClient.scala:96)
at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anonfun$tryRegisterAllMasters$1.apply(AppClient.scala:95)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
at org.apache.spark.deploy.client.AppClient$ClientEndpoint.tryRegisterAllMasters(AppClient.scala:95)
at org.apache.spark.deploy.client.AppClient$ClientEndpoint.org$apache$spark$deploy$client$AppClient$ClientEndpoint$$registerWithMaster(AppClient.scala:121)
at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2$$anonfun$run$1.apply$mcV$sp(AppClient.scala:132)
at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1119)
at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2.run(AppClient.scala:124)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
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)解決：Master URL配置有問題。本例中誤將7077端口寫成7070出現上面的錯誤！
ps: 未完待續，更新中....