Spark独立安装无法连接到主站

时间：2019-02-04 17:30:15

标签： apache-spark pyspark

我在本地Windows 10计算机上运行了Spark 2.3.1。我还没有修改spark-env或spark-defaults中的任何设置。当我尝试使用spark-shell连接到spark时，收到了failed to connect to master localhost:7077警告。这是从控制台复制的完整错误消息：-

`C:\Users\abhi331\opt\spark\spark-2.3.1-bin-hadoop2.7\bin>spark-shell
2019-02-04 22:38:36 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
2019-02-04 22:38:45 WARN  StandaloneAppClient$ClientEndpoint:87 - Failed to connect to master localhost:7077
org.apache.spark.SparkException: Exception thrown in awaitResult:
        at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:205)
        at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:109)
        at org.apache.spark.deploy.client.StandaloneAppClient$ClientEndpoint$$anonfun$tryRegisterAllMasters$1$$anon$1.run(StandaloneAppClient.scala:106)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.io.IOException: Failed to connect to localhost/127.0.0.1:7077
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:245)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187)
        at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:198)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:194)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:190)
        ... 4 more
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: no further information: localhost/127.0.0.1:7077
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
        at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:323)
        at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:340)
        at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:633)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:580)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:497)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:459)
        at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
        at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
        ... 1 more
Caused by: java.net.ConnectException: Connection refused: no further information
        ... 11 more
2019-02-04 22:39:05 WARN  StandaloneAppClient$ClientEndpoint:87 - Failed to connect to master localhost:7077
org.apache.spark.SparkException: Exception thrown in awaitResult:
        at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:205)
        at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:109)
        at org.apache.spark.deploy.client.StandaloneAppClient$ClientEndpoint$$anonfun$tryRegisterAllMasters$1$$anon$1.run(StandaloneAppClient.scala:106)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.io.IOException: Failed to connect to localhost/127.0.0.1:7077
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:245)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187)
        at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:198)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:194)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:190)
        ... 4 more
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: no further information: localhost/127.0.0.1:7077
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
        at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:323)
        at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:340)
        at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:633)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:580)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:497)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:459)
        at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
        at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
        ... 1 more
Caused by: java.net.ConnectException: Connection refused: no further information
        ... 11 more
2019-02-04 22:39:25 WARN  StandaloneAppClient$ClientEndpoint:87 - Failed to connect to master localhost:7077
org.apache.spark.SparkException: Exception thrown in awaitResult:
        at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:205)
        at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101)
        at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:109)
        at org.apache.spark.deploy.client.StandaloneAppClient$ClientEndpoint$$anonfun$tryRegisterAllMasters$1$$anon$1.run(StandaloneAppClient.scala:106)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.io.IOException: Failed to connect to localhost/127.0.0.1:7077
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:245)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187)
        at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:198)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:194)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:190)
        ... 4 more
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: no further information: localhost/127.0.0.1:7077
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
        at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:323)
        at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:340)
        at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:633)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:580)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:497)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:459)
        at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
        at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
        ... 1 more
Caused by: java.net.ConnectException: Connection refused: no further information
        ... 11 more
2019-02-04 22:39:44 ERROR StandaloneSchedulerBackend:70 - Application has been killed. Reason: All masters are unresponsive! Giving up.
2019-02-04 22:39:44 WARN  StandaloneSchedulerBackend:66 - Application ID is not initialized yet.
2019-02-04 22:39:44 WARN  StandaloneAppClient$ClientEndpoint:66 - Drop UnregisterApplication(null) because has not yet connected to master
2019-02-04 22:39:45 ERROR SparkContext:91 - Error initializing SparkContext.
java.lang.IllegalArgumentException: requirement failed: Can only call getServletHandlers on a running MetricsSystem
        at scala.Predef$.require(Predef.scala:224)
        at org.apache.spark.metrics.MetricsSystem.getServletHandlers(MetricsSystem.scala:91)
        at org.apache.spark.SparkContext.<init>(SparkContext.scala:515)
        at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2493)
        at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:933)
        at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:924)
        at scala.Option.getOrElse(Option.scala:121)
        at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:924)
        at org.apache.spark.repl.Main$.createSparkSession(Main.scala:103)
        at $line3.$read$$iw$$iw.<init>(<console>:15)
        at $line3.$read$$iw.<init>(<console>:43)
        at $line3.$read.<init>(<console>:45)
        at $line3.$read$.<init>(<console>:49)
        at $line3.$read$.<clinit>(<console>)
        at $line3.$eval$.$print$lzycompute(<console>:7)
        at $line3.$eval$.$print(<console>:6)
        at $line3.$eval.$print(<console>)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
        at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
        at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
        at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
        at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
        at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
        at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
        at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)
        at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)
        at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
        at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$mcV$sp$2.apply(SparkILoop.scala:79)
        at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$mcV$sp$2.apply(SparkILoop.scala:79)
        at scala.collection.immutable.List.foreach(List.scala:381)
        at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SparkILoop.scala:79)
        at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1.apply(SparkILoop.scala:79)
        at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1.apply(SparkILoop.scala:79)
        at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:91)
        at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:78)
        at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:78)
        at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:78)
        at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
        at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:77)
        at org.apache.spark.repl.SparkILoop.loadFiles(SparkILoop.scala:110)
        at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:920)
        at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
        at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
        at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
        at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
        at org.apache.spark.repl.Main$.doMain(Main.scala:76)
        at org.apache.spark.repl.Main$.main(Main.scala:56)
        at org.apache.spark.repl.Main.main(Main.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:894)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
java.lang.IllegalArgumentException: requirement failed: Can only call getServletHandlers on a running MetricsSystem
  at scala.Predef$.require(Predef.scala:224)
  at org.apache.spark.metrics.MetricsSystem.getServletHandlers(MetricsSystem.scala:91)
  at org.apache.spark.SparkContext.<init>(SparkContext.scala:515)
  at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2493)
  at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:933)
  at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:924)
  at scala.Option.getOrElse(Option.scala:121)
  at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:924)
  at org.apache.spark.repl.Main$.createSparkSession(Main.scala:103)
  ... 55 elided
<console>:14: error: not found: value spark
       import spark.implicits._
              ^
<console>:14: error: not found: value spark
       import spark.sql`

我正在运行Scala版本2.11.8和Java 1.8.0_181，并且也无法连接到localhost:8080。有人可以帮我解决这个问题吗？

3 个答案:

答案 0 :(得分：0)

这是一个快速检查清单。您检查了吗？

  • 使用start-master运行master吗？
    • 主站正在运行吗？
    • 您可以远程登录到端口7077，例如telnet localhost 7077？
  • 运行一个从站，并且从站指向主站吗？
    • 从站正在运行吗？
  • 所有程序都运行之后，可以通过浏览器连接到8080端口吗？

答案 1 :(得分：0)

Spark-shell 启动一个Spark主服务器和将连接到该主服务器的Spark工作者。默认情况下，工作程序会尝试通过地址localhost:7077连接到主服务器，但是在您的情况下，他们无法在本地主机上找到主服务器！

假设您当前的IP为10.10.20.3，则可以通过以下方式将其引入SPARK：

只需将以下行添加到文件$SPARK_HOME/conf/spark-env.cmd：

SPARK_MASTER_HOST=10.10.20.3

或将值为SPARK_MASTER_HOST的变量10.10.20.3添加到 Windows环境变量并重新启动系统。

或者作为临时解决方案，您可以在cmd中设置 SPARK_MASTER_HOST 变量并运行spark-shell：

set SPARK_MASTER_HOST=10.10.20.3
C:\Users\abhi331\opt\spark\spark-2.3.1-bin-hadoop2.7\bin>spark-shell

答案 2 :(得分：0)

第一个spark并不是要在Windows上安装的，其次，如果这样做的话，如果我没有记错，您需要安装一些不道德的软件，使spark相信它正在Linux上运行并已连接到hadoop。

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