hadoop ubuntu部署 hadoop在ubuntu环境配置

转载

西门吹雪 2023-07-30 12:54:17

文章标签 hadoop ubuntu部署 hadoop ubuntu server input 文章分类 Hadoop 大数据

ubuntu8.04下hadoop 0202单机搭建

一.所需软件
1.jdk
2.ssh
3.hadoop

下面操作都在root用户下完成操作
二，jdk的安装与设置
1.安装
$apt-get install sun-java6-jdk sun-java6-plugin
$update-java-alternatives -s java-6-sun
2.设置
$gedit /etc/profile
设置环境变量

# set java environment
    export JAVA_HOME=/usr/lib/jvm/java-6-sun
    export JRE_HOME=/usr/lib/jvm/java-6-sun/jre
    export CLASSPATH=.:$JAVA_HOME/lib:$JAVA_HOME/jre/lib
    export PATH=$JAVA_HOME/bin:$JAVA_HOME/jre/bin:$PATH
 并执行以下命令使配置生效
     chmod +x  /etc/profile ；增加执行权限
     source  /etc/profile ；

3.若源中没有jdk则可以

$add-apt-repository "deb http://archive.canonical.com/ lucid partner"
 $apt-get update

接着执行第1部

三.ssh的安装与配置
$apt-get install ssh
免密码设置

$ ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa
 $ cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys

四hadoop的安装与配置使用
1.下载
http://labs.renren.com/apache-mirror//hadoop/core/
2.解压（将其解压到当前用户下）

$cd ～
 $tar zxvf   hadoop-0.20.2.tar.gz
 $cd hadoop-0.20.2

3.设定环境变量

$gedit conf/hadoop-env.sh
 添加# set java environment
  export JAVA_HOME=/usr/lib/jvm/java-6-sun

4.配置配置文件

$gedit conf/core-site.xml
 <?xml version="1.0"?>
 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

 <!-- Put site-specific property overrides in this file. -->

 <configuration>
 <property>   
      <name>fs.default.name</name>   
      <value>hdfs://localhost:9000</value>   
 </property> 
 </configuration>


 $gedit conf/hdfs-site.xml
 <?xml version="1.0"?>
 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

 <!-- Put site-specific property overrides in this file. -->

 <configuration>
 <property>   
     <name>dfs.replication</name>   
     <value>1</value>   
 </property>
 </configuration>

 $gedit conf/mapred-site.xml
 <?xml version="1.0"?>
 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

 <!-- Put site-specific property overrides in this file. -->

 <configuration>
 <property>   
    <name>mapred.job.tracker</name>   
    <value>localhost:9001</value>   
    </property>
 </configuration>

5.运行wordcount实例

（1）格式化HDFS
 $bin/hadoop namenode -format
 格式化执行信息如下所示：
 10/08/01 19:04:02 INFO namenode.NameNode: STARTUP_MSG:
 /************************************************************
 STARTUP_MSG: Starting NameNode
 STARTUP_MSG:   host = localhost/127.0.0.1
 STARTUP_MSG:   args = [-format]
 STARTUP_MSG:   version = 0.19.0
 STARTUP_MSG:   build = https://svn.apache.org/repos/asf/hadoop/core/branches/branch-0.19 -r 713890; compiled by 'ndaley' on Fri Nov 14 03:12:29 UTC 2008
 ************************************************************/
 Re-format filesystem in /tmp/hadoop-root/dfs/name ? (Y or N) y
 Format aborted in /tmp/hadoop-root/dfs/name
 10/08/01 19:04:05 INFO namenode.NameNode: SHUTDOWN_MSG:
 /************************************************************
 SHUTDOWN_MSG: Shutting down NameNode at localhost/127.0.0.1
 ************************************************************/

(2）启动Hadoop相关后台进程

$bin/start-all.sh 
 starting namenode, logging to /root/hadoop-0.19.0/bin/../logs/hadoop-root-namenode-localhost.out
 localhost: starting datanode, logging to /root/hadoop-0.19.0/bin/../logs/hadoop-root-datanode-localhost.out
 localhost: starting secondarynamenode, logging to /root/hadoop-0.19.0/bin/../logs/hadoop-root-secondarynamenode-localhost.out
 starting jobtracker, logging to /root/hadoop-0.19.0/bin/../logs/hadoop-root-jobtracker-localhost.out
 localhost: starting tasktracker, logging to /root/hadoop-0.19.0/bin/../logs/hadoop-root-tasktracker-localhost.out

（3）准备执行wordcount任务的数据

$ cd hadoop-0.20.2
 $ mkdir test-txt
 $ cd test-txt
 $ echo "hello world, bye , world." >file1.txt 
 $ echo "hello hadoop, goodbye , hadoop" >file2.txt
 $ cd ..
 $ bin/hadoop dfs -put ./test-txt input 

 #将本地文件系统上的./test-txt目录拷到 HDFS 的根目录上，目录名改为 input
 #执行 bin/hadoop dfs –help 可以学习各种 HDFS 命令的使用。 
 $ bin/hadoop jar hadoop-0.20.2-examples.jar wordcount input output


 #查看执行结果:
 #将文件从 HDFS 拷到本地文件系统中再查看： 
 $ bin/hadoop dfs -get output output
 $ cat output/*

异常分析（主要是日志文件分析）

在进行上述实践过程中，可能会遇到某种异常情况，大致分析如下：

1、Call to localhost/127.0.0.1:9000 failed on local exception异常

（1）异常描述

可能你会在执行如下命令行的时候出现：

[root@localhost hadoop-0.19.0]# bin/hadoop jar hadoop-0.19.0-examples.jar wordcount input output

 出错异常信息如下所示：
 10/08/01 19:50:55 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 0 time(s).
 10/08/01 19:50:56 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 1 time(s).
 10/08/01 19:50:57 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 2 time(s).
 10/08/01 19:50:58 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 3 time(s).
 10/08/01 19:50:59 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 4 time(s).
 10/08/01 19:51:00 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 5 time(s).
 10/08/01 19:51:01 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 6 time(s).
 10/08/01 19:51:02 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 7 time(s).
 10/08/01 19:51:03 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 8 time(s).
 10/08/01 19:51:04 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:9000. Already tried 9 time(s).
 java.lang.RuntimeException: java.io.IOException: Call to localhost/127.0.0.1:9000 failed on local exception: Connection refused
         at org.apache.hadoop.mapred.JobConf.getWorkingDirectory(JobConf.java:323)
         at org.apache.hadoop.mapred.FileInputFormat.setInputPaths(FileInputFormat.java:295)
         at org.apache.hadoop.mapred.FileInputFormat.setInputPaths(FileInputFormat.java:268)
         at org.apache.hadoop.examples.WordCount.run(WordCount.java:146)
         at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
         at org.apache.hadoop.examples.WordCount.main(WordCount.java:155)
         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
         at java.lang.reflect.Method.invoke(Method.java:597)
         at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:68)
         at org.apache.hadoop.util.ProgramDriver.driver(ProgramDriver.java:141)
         at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:61)
         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
         at java.lang.reflect.Method.invoke(Method.java:597)
         at org.apache.hadoop.util.RunJar.main(RunJar.java:165)
         at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54)
         at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
         at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
         at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68)
 Caused by: java.io.IOException: Call to localhost/127.0.0.1:9000 failed on local exception: Connection refused
         at org.apache.hadoop.ipc.Client.call(Client.java:699)
         at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:216)
         at $Proxy0.getProtocolVersion(Unknown Source)
         at org.apache.hadoop.ipc.RPC.getProxy(RPC.java:319)
         at org.apache.hadoop.hdfs.DFSClient.createRPCNamenode(DFSClient.java:104)
         at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:177)
         at org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:74)
         at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1367)
         at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:56)
         at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1379)
         at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:215)
         at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:120)
         at org.apache.hadoop.mapred.JobConf.getWorkingDirectory(JobConf.java:319)
         ... 21 more
 Caused by: java.net.ConnectException: Connection refused
         at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
         at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:574)
         at sun.nio.ch.SocketAdaptor.connect(SocketAdaptor.java:100)
         at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:299)
         at org.apache.hadoop.ipc.Client$Connection.access$1700(Client.java:176)
         at org.apache.hadoop.ipc.Client.getConnection(Client.java:772)
         at org.apache.hadoop.ipc.Client.call(Client.java:685)
         ... 33 more

（2）异常分析

从上述异常信息分析，这句是关键：

Retrying connect to server: localhost/127.0.0.1:9000.

是说在尝试10次连接到“server”时都无法成功，这就说明到server的通信链路是不通的。我们已经在hadoop-site.xml中配置了namenode结点的值，如下所示：

view plaincopy to clipboardprint?

    1. <property>   
    2.   <name>fs.default.name</name>   
    3.   <value>hdfs://localhost:9000</value>   
    4. </property>  

 <property> <name>fs.default.name</name> <value>hdfs://localhost:9000</value> </property>

所以，敢肯定是无法连接到server，也就是很可能namenode进程根本就没有启动，更不必谈要执行任务了。

上述异常，我模拟的过程是：

格式化了HDFS，但是没有执行bin/start-all.sh，直接启动wordcount任务，就出现上述异常。

所以，应该执行bin/start-all.sh以后再启动wordcount任务。

2、Input path does not exist异常

（1）异常描述

当你在当前hadoop目录下面创建一个input目录，并cp某些文件到里面，开始执行：

[root@localhost hadoop-0.19.0]# bin/hadoop namenode -format

 [root@localhost hadoop-0.19.0]# bin/start-all.sh

这时候，你认为input已经存在，应该可以执行wordcount任务了：

[root@localhost hadoop-0.19.0]# bin/hadoop jar hadoop-0.19.0-examples.jar wordcount input output

结果抛出一堆异常，信息如下：

org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: hdfs://localhost:9000/user/root/input
         at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:179)
         at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:190)
         at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:782)
         at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1127)
         at org.apache.hadoop.examples.WordCount.run(WordCount.java:149)
         at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
         at org.apache.hadoop.examples.WordCount.main(WordCount.java:155)
         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
         at java.lang.reflect.Method.invoke(Method.java:597)
         at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:68)
         at org.apache.hadoop.util.ProgramDriver.driver(ProgramDriver.java:141)
         at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:61)
         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
         at java.lang.reflect.Method.invoke(Method.java:597)
         at org.apache.hadoop.util.RunJar.main(RunJar.java:165)
         at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54)
         at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
         at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
         at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68)

上述异常，我模拟的过程是：

[root@localhost hadoop-0.19.0]# bin/hadoop fs -rmr input
 Deleted hdfs://localhost:9000/user/root/input

 [root@localhost hadoop-0.19.0]# bin/hadoop fs -rmr output
 Deleted hdfs://localhost:9000/user/root/output

因为之前我已经成功执行过一次。

（2）异常分析

应该不用多说了，是因为本地的input目录并没有上传到HDFS上，所出现 org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: hdfs://localhost:9000/user/root/input

在我的印象中，好像使用hadoop-0.16.4的时候，只要input目录存在，是不用执行上传命令，就可以运行的，后期的版本是不行的。

只需要执行上传的命令即可：

[root@localhost hadoop-0.19.0]# bin/hadoop fs -put input/ input

本文章为转载内容，我们尊重原作者对文章享有的著作权。如有内容错误或侵权问题，欢迎原作者联系我们进行内容更正或删除文章。

上一篇：快递app功能架构快递软件是什么意思

下一篇：android mqtt发送数据 mqtt传输大量数据

提问和评论都可以，用心的回复会被更多人看到评论

发布评论

相关文章

官方博客	全部文章	热门标签	班级博客
了解我们	网站地图	意见反馈

鸿蒙开发者社区	51CTO学堂
51CTO	软考资讯

hadoop ubuntu部署 hadoop在ubuntu环境配置

hadoop ubuntu部署 hadoop在ubuntu环境配置

51CTO博客