按照以下步骤，我在具有Java 1.8的Ubuntu 18.04上安装了Spark 2.3.0：
https://github.com/ashishtam/apache-spark-multi-node-installation/blob/master/index.md
我有一个由1个主机和1个从机组成的简单集群，/ etc / hosts文件是
# For Spark cluster
172.16.10.20 master
172.16.10.30 slave01
#127.0.0.1 localhost.localdomain localhost
::1 localhost6.localdomain6 localhost6
# The following lines are desirable for IPv6 capable hosts
::1 localhost ip6-localhost ip6-loopback
fe00::0 ip6-localnet
ff02::1 ip6-allnodes
ff02::2 ip6-allrouters
ff02::3 ip6-allhosts
一旦安装并配置了Spark，我就启动了主服务器和从服务器
./sbin/start-master.sh
./sbin/start-slaves.sh spark://master-pc:7077
在主节点上用jps检查状态：
> jps
13440 Master
13701 Worker
13963 Jps
并在从属节点上：
> jps
4202 Master
4332 Worker
4958 Jps
在主节点上，当打开spark-shell时，我得到了：
18/08/30 19:12:38 WARN NativeCodeLoader: 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).
Spark context Web UI available at http://master:4040
Spark context available as 'sc' (master = spark://master:7077, app id = app-20180830191300-0000).
Spark session available as 'spark'.
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.3.0
/_/
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_181)
Type in expressions to have them evaluated.
Type :help for more information.
scala> Exception in thread "main" java.io.IOException: Resource temporarily unavailable
at java.io.FileInputStream.read0(Native Method)
at java.io.FileInputStream.read(FileInputStream.java:207)
at jline.internal.NonBlockingInputStream.read(NonBlockingInputStream.java:169)
at jline.internal.NonBlockingInputStream.read(NonBlockingInputStream.java:137)
at jline.internal.NonBlockingInputStream.read(NonBlockingInputStream.java:246)
at jline.internal.InputStreamReader.read(InputStreamReader.java:261)
at jline.internal.InputStreamReader.read(InputStreamReader.java:198)
at jline.console.ConsoleReader.readCharacter(ConsoleReader.java:2145)
at jline.console.ConsoleReader.readLine(ConsoleReader.java:2349)
at jline.console.ConsoleReader.readLine(ConsoleReader.java:2269)
at scala.tools.nsc.interpreter.jline.InteractiveReader.readOneLine(JLineReader.scala:57)
at scala.tools.nsc.interpreter.InteractiveReader$class.readLine(InteractiveReader.scala:38)
at scala.tools.nsc.interpreter.jline.InteractiveReader.readLine(JLineReader.scala:28)
at scala.tools.nsc.interpreter.ILoop.readOneLine(ILoop.scala:404)
at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:413)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:923)
at scala.tools.nsc.interpreter.ILoop$$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:879)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:197)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:227)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:136)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
它坏了... 出于好奇，我在从属节点上做了同样的事情：
18/08/30 19:18:00 WARN NativeCodeLoader: 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).
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 WARN Utils: Service 'sparkDriver' could not bind on a random free port. You may check whether configuring an appropriate binding address.
18/08/30 19:18:43 ERROR SparkContext: Error initializing SparkContext.
java.net.BindException: Cannot assign requested address: Service 'sparkDriver' failed after 16 retries (on a random free port)! Consider explicitly setting the appropriate binding address for the service 'sparkDriver' (for example spark.driver.bindAddress for SparkDriver) to the correct binding address.
at sun.nio.ch.Net.bind0(Native Method)
at sun.nio.ch.Net.bind(Net.java:433)
at sun.nio.ch.Net.bind(Net.java:425)
at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:223)
at io.netty.channel.socket.nio.NioServerSocketChannel.doBind(NioServerSocketChannel.java:128)
at io.netty.channel.AbstractChannel$AbstractUnsafe.bind(AbstractChannel.java:558)
at io.netty.channel.DefaultChannelPipeline$HeadContext.bind(DefaultChannelPipeline.java:1283)
at io.netty.channel.AbstractChannelHandlerContext.invokeBind(AbstractChannelHandlerContext.java:501)
at io.netty.channel.AbstractChannelHandlerContext.bind(AbstractChannelHandlerContext.java:486)
at io.netty.channel.DefaultChannelPipeline.bind(DefaultChannelPipeline.java:989)
at io.netty.channel.AbstractChannel.bind(AbstractChannel.java:254)
at io.netty.bootstrap.AbstractBootstrap$2.run(AbstractBootstrap.java:364)
at io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:463)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
at java.lang.Thread.run(Thread.java:748)
java.net.BindException: Cannot assign requested address: Service 'sparkDriver' failed after 16 retries (on a random free port)! Consider explicitly setting the appropriate binding address for the service 'sparkDriver' (for example spark.driver.bindAddress for SparkDriver) to the correct binding address.
at sun.nio.ch.Net.bind0(Native Method)
at sun.nio.ch.Net.bind(Net.java:433)
at sun.nio.ch.Net.bind(Net.java:425)
at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:223)
at io.netty.channel.socket.nio.NioServerSocketChannel.doBind(NioServerSocketChannel.java:128)
at io.netty.channel.AbstractChannel$AbstractUnsafe.bind(AbstractChannel.java:558)
at io.netty.channel.DefaultChannelPipeline$HeadContext.bind(DefaultChannelPipeline.java:1283)
at io.netty.channel.AbstractChannelHandlerContext.invokeBind(AbstractChannelHandlerContext.java:501)
at io.netty.channel.AbstractChannelHandlerContext.bind(AbstractChannelHandlerContext.java:486)
at io.netty.channel.DefaultChannelPipeline.bind(DefaultChannelPipeline.java:989)
at io.netty.channel.AbstractChannel.bind(AbstractChannel.java:254)
at io.netty.bootstrap.AbstractBootstrap$2.run(AbstractBootstrap.java:364)
at io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:463)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
at java.lang.Thread.run(Thread.java:748)
<console>:14: error: not found: value spark
import spark.implicits._
^
<console>:14: error: not found: value spark
import spark.sql
^
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.3.0
/_/
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_181)
Type in expressions to have them evaluated.
Type :help for more information.
scala>
我最终得到了一个火花壳，但是关于火花驱动器的错误。
我已经检查了/ etc / hosts中的IP，主节点中的SPARK_HOME变量，Spark的配置文件，ssh密钥... spark本地ip也定义为（对于主节点）：
export SPARK_LOCAL_IP=172.16.10.20
有人在这里看到我在做什么错吗？