启动时出现 Apache Spark 错误

Question

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 spark 并解压。我正在尝试转动 spark-shell 但会引发错误，此外，我无法访问 shell 中的 sc 。我从源代码编译但同样的错误。我做错了什么？

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

Answer 1

我刚开始学习 Spark，我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：服务“sparkDriver”在重试 16 次后失败！

因为我只是想在本地模式下运行 Spark，所以我找到了解决这个问题的方法。解决方案：编辑文件spark-env.sh（你可以在你的$SPARK_HOME/conf/中找到它）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 在本地模式下工作正常。我希望这可以帮助你！ :)

Answer 2

上述解决方案对我不起作用。我按照以下步骤操作： How to start Spark applications on Windows (aka Why Spark fails with NullPointerException)?

并更改了系统变量中的 HADOOP_HOME 环境变量。它对我有用。

Answer 3

也可能是所有权问题

hadoop fs -chown -R deepdive:root /user/deepdive/