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启动时Apache Spark错误

湛宏旷
2023-03-14
问题内容

我想在Apache Spark中启用单个集群,我安装了java和scala。我下载了Apache Hadoop
2.6的火花并解压缩。我试图转动火花壳,但抛出一个错误,此外,我无权访问shell中的sc。我从源代码编译,但存在相同的错误。我究竟做错了什么?

Welcome to

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    _\ \/ _ \/ _ `/ __/  '_/

   /___/ .__/\_,_/_/ /_/\_\   version 1.3.1

      /_/



Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_79)

Type in expressions to have them evaluated.

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java.net.BindException: Failed to bind to: ADMINISTRATOR.home/192.168.1.5:0: Service 'sparkDriver' failed after 16 retries!

    at org.jboss.netty.bootstrap.ServerBootstrap.bind(ServerBootstrap.java:272)

    at akka.remote.transport.netty.NettyTransport$$anonfun$listen$1.apply(NettyTransport.scala:393)

    at akka.remote.transport.netty.NettyTransport$$anonfun$listen$1.apply(NettyTransport.scala:389)

    at scala.util.Success$$anonfun$map$1.apply(Try.scala:206)

    at scala.util.Try$.apply(Try.scala:161)

    at scala.util.Success.map(Try.scala:206)

    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 akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.processBatch$1(BatchingExecutor.scala:67)

    at akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:82)

    at akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:59)

    at akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:59)

    at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)

    at akka.dispatch.BatchingExecutor$Batch.run(BatchingExecutor.scala:58)

    at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)

    at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)

    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)



java.lang.NullPointerException

    at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:145)

    at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:49)

    at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)

    at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)

    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)

    at java.lang.reflect.Constructor.newInstance(Unknown Source)

    at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1027)

    at $iwC$$iwC.<init>(<console>:9)

    at $iwC.<init>(<console>:18)

    at <init>(<console>:20)

    at .<init>(<console>:24)

    at .<clinit>(<console>)

    at .<init>(<console>:7)

    at .<clinit>(<console>)

    at $print(<console>)

    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

    at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)

    at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)

    at java.lang.reflect.Method.invoke(Unknown Source)

    at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)

    at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)

    at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)

    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)

    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)

    at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:856)

    at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:901)

    at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:813)

    at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:130)

    at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:122)

    at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)

    at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:122)

    at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)

    at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:973)

    at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:157)

    at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)

    at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:106)

    at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)

    at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:990)

    at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)

    at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)

    at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)

    at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:944)

    at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1058)

    at org.apache.spark.repl.Main$.main(Main.scala:31)

    at org.apache.spark.repl.Main.main(Main.scala)

    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

    at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)

    at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)

    at java.lang.reflect.Method.invoke(Unknown Source)

    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)

    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)

    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)

    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)

    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)



<console>:10: error: not found: value sqlContext

       import sqlContext.implicits._

              ^

<console>:10: error: not found: value sqlContext

       import sqlContext.sql

              ^



scala>

问题答案:

我刚刚开始学习Spark,希望在本地模式下运行Spark。我遇到了像你这样的问题。问题:

java.net.BindException:无法绑定到:/124.232.132.94:0:16次重试后,服务“ sparkDriver”失败!

因为我只想在本地模式下运行Spark,所以找到了解决此问题的解决方案。解决方案:编辑文件spark- env.sh(您可以在中找到它$SPARK_HOME/conf/)并将其添加到文件中:

export  SPARK_MASTER_IP=127.0.0.1
export  SPARK_LOCAL_IP=127.0.0.1

之后,我的Spark在本地模式下可以正常工作。希望对您有所帮助!:)



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