eclipse安装hadoop插件

我想还有很多人没有听说过ZModem协议，更不知道有rz/sz这样方便的工具。 好东西不敢独享。以下给出我知道的一点皮毛。 下面一段是从SecureCRT的帮助中copy的：

 

 

ZModem is a full-duplex file transfer protocol that supports fast data transfer rates and effective error detection. ZModem is very user friendly, allowing either the sending or receiving party to initiate a file transfer. ZModem supports multiple file ("batch") transfers, and allows the use of wildcards when specifying filenames. ZModem also supports resuming most prior ZModem file transfer attempts.

 

 

rz，sz是便是Linux/Unix同Windows进行ZModem文件传输的命令行工具 windows端需要支持ZModem的telnet/ssh客户端，SecureCRT就可以用SecureCRT登陆到Unix/Linux主机（telnet或ssh均可） O 运行命令rz，即是接收文件，SecureCRT就会弹出文件选择对话框，选好文件之后关闭对话框，文件就会上传到当前目录 O 运行命令sz file1 file2就是发文件到windows上（保存的目录是可以配置） 比FTP命令方便多了，而且服务器不用再开FTP服务了 PS：Linux上rz/sz这两个小工具安装lrzsz-x.x.xx.rpm即可，Unix可用源码自行 编译，Solaris spac的可以到sunfreeware下载执行码

 

如果安装的是hadoop-0.20.2，那么eclipse-plugin的具体位置位在：/home/hadoop/hadoop-0.20.2/contrib/eclipse-plugin下面。 
如果安装的是hadoop-0.21.0，那么eclipse-plugin的具体位置位在：/home/hadoop/hadoop-0.21.0/mapred/contrib/eclipse/hadoop-0.21.0-eclipse-plugin.jar下面

将hadoop-0.21.0-eclipse-plugin.jar这个插件保存到eclipse目录下的pluging中，eclipse就能够自动识别。

 

本机的环境如下：

Eclipse 3.6

Hadoop-0.20.2

Hive-0.5.0-dev

1. 安装hadoop-0.20.2-eclipse-plugin的插件。注意：Hadoop目录中的/hadoop-0.20.2/contrib /eclipse-plugin/hadoop-0.20.2-eclipse-plugin.jar在Eclipse3.6下有问题，无法在 Hadoop Server上运行，可以从http://code.google.com/p/hadoop-eclipse-plugin/下载

2. 选择Map/Reduce视图：window ->  open pers.. ->  other.. ->  map/reduce

3. 增加DFS Locations：点击Map/Reduce Locations—> New Hadoop Loaction，填写对应的host和port

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  1. Map/Reduce Master:     
  2. Host: 10.10.xx.xx   
  3. Port: 9001     
  4. DFS Master:     
  5. Host: 10.10.xx.xx（选中 User M/R Master host即可）     
  6. Port: 9000     
  7. User name: root  
  8.    
  9. 更改Advance parameters 中的 hadoop.job.ugi, 默认是 DrWho,Tardis, 改成：root,Tardis。如果看不到选项，则使用Eclipse -clean重启Eclipse   
  10. 否则，可能会报错org.apache.hadoop.security.AccessControlException  

4. 设置本机的Host：

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  1. 10.10.xx.xx zw-hadoop-master. zw-hadoop-master     
  2.    
  3. #注意后面需要还有一个zw-hadoop-master.，否则运行Map/Reduce时会报错：     
  4. java.lang.IllegalArgumentException: Wrong FS: hdfs://zw-hadoop-master:9000/user/root/oplog/out/_temporary/_attempt_201008051742_0135_m_000007_0, expected: hdfs://zw-hadoop-master.:9000     
  5.     at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:352)  

5. 新建一个Map/Reduce Project，新建Mapper,Reducer,Driver类，注意，自动生成的代码是基于老版本的Hadoop，自己修改：

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  1. <span>package</span> <span>com.sohu.hadoop.test</span><span>;</span>     
  2.    
  3. <span>import</span> <span>java.util.StringTokenizer</span><span>;</span>     
  4. <span>import</span> <span>org.apache.hadoop.io.IntWritable</span><span>;</span>     
  5. <span>import</span> <span>org.apache.hadoop.io.Text</span><span>;</span>     
  6. <span>import</span> <span>org.apache.hadoop.mapreduce.Mapper</span><span>;</span>     
  7.    
  8. <span>public</span> <span>class</span> MapperTest <span>extends</span> Mapper<span><</span>Object, Text, Text, IntWritable<span>></span> <span>{</span>     
  9.     <span>private</span> <span>final</span> <span>static</span> IntWritable one <span>=</span> <span>new</span> IntWritable<span>(</span><span>1</span><span>)</span><span>;</span>     
  10.    
  11.     <span>public</span> <span>void</span> map<span>(</span><span>Object</span> key, Text value, <span>Context</span> context<span>)</span>     
  12.             <span>throws</span> <span>IOException</span>, <span>InterruptedException</span> <span>{</span>     
  13.         <span>String</span> userid <span>=</span> value.<span>toString</span><span>(</span><span>)</span>.<span>split</span><span>(</span><span>"[|]"</span><span>)</span><span>[</span><span>2</span><span>]</span><span>;</span>     
  14.         context.<span>write</span><span>(</span><span>new</span> Text<span>(</span>userid<span>)</span>, <span>new</span> IntWritable<span>(</span><span>1</span><span>)</span><span>)</span><span>;</span>     
  15.     <span>}</span>     
  16. <span>}</span>     
  17.    
  18.    
  19. <span>package</span> <span>com.sohu.hadoop.test</span><span>;</span>     
  20.    
  21. <span>import</span> <span>java.io.IOException</span><span>;</span>     
  22. <span>import</span> <span>org.apache.hadoop.io.IntWritable</span><span>;</span>     
  23. <span>import</span> <span>org.apache.hadoop.io.Text</span><span>;</span>     
  24. <span>import</span> <span>org.apache.hadoop.mapreduce.Reducer</span><span>;</span>     
  25.    
  26. <span>public</span> <span>class</span> ReducerTest <span>extends</span> Reducer<span><</span>Text, IntWritable, Text, IntWritable<span>></span> <span>{</span>     
  27.    
  28.     <span>private</span> IntWritable result <span>=</span> <span>new</span> IntWritable<span>(</span><span>)</span><span>;</span>     
  29.    
  30.     <span>public</span> <span>void</span> reduce<span>(</span>Text key, Iterable<span><</span>IntWritable<span>></span> values, <span>Context</span> context<span>)</span>     
  31.             <span>throws</span> <span>IOException</span>, <span>InterruptedException</span> <span>{</span>     
  32.         <span>int</span> sum <span>=</span> <span>0</span><span>;</span>     
  33.         <span>for</span> <span>(</span>IntWritable val <span>:</span> values<span>)</span> <span>{</span>     
  34.             sum <span>+=</span> val.<span>get</span><span>(</span><span>)</span><span>;</span>     
  35.         <span>}</span>     
  36.         result.<span>set</span><span>(</span>sum<span>)</span><span>;</span>     
  37.         context.<span>write</span><span>(</span>key, result<span>)</span><span>;</span>     
  38.     <span>}</span>     
  39. <span>}</span>     
  40.    
  41.    
  42. <span>package</span> <span>com.sohu.hadoop.test</span><span>;</span>     
  43.    
  44. <span>import</span> <span>org.apache.hadoop.conf.Configuration</span><span>;</span>     
  45. <span>import</span> <span>org.apache.hadoop.fs.Path</span><span>;</span>     
  46. <span>import</span> <span>org.apache.hadoop.io.IntWritable</span><span>;</span>     
  47. <span>import</span> <span>org.apache.hadoop.io.Text</span><span>;</span>     
  48. <span>import</span> <span>org.apache.hadoop.io.compress.CompressionCodec</span><span>;</span>     
  49. <span>import</span> <span>org.apache.hadoop.io.compress.GzipCodec</span><span>;</span>     
  50. <span>import</span> <span>org.apache.hadoop.mapreduce.Job</span><span>;</span>     
  51. <span>import</span> <span>org.apache.hadoop.mapreduce.lib.input.FileInputFormat</span><span>;</span>     
  52. <span>import</span> <span>org.apache.hadoop.mapreduce.lib.output.FileOutputFormat</span><span>;</span>     
  53. <span>import</span> <span>org.apache.hadoop.util.GenericOptionsParser</span><span>;</span>     
  54.    
  55. <span>public</span> <span>class</span> DriverTest <span>{</span>     
  56.     <span>public</span> <span>static</span> <span>void</span> main<span>(</span><span>String</span><span>[</span><span>]</span> args<span>)</span> <span>throws</span> <span>Exception</span> <span>{</span>     
  57.         Configuration conf <span>=</span> <span>new</span> Configuration<span>(</span><span>)</span><span>;</span>     
  58.         <span>String</span><span>[</span><span>]</span> otherArgs <span>=</span> <span>new</span> GenericOptionsParser<span>(</span>conf, args<span>)</span>     
  59.                 .<span>getRemainingArgs</span><span>(</span><span>)</span><span>;</span>     
  60.         <span>if</span> <span>(</span>otherArgs.<span>length</span> <span>!=</span> <span>2</span><span>)</span>      
  61.         <span>{</span>     
  62.             <span>System</span>.<span>err</span>.<span>println</span><span>(</span><span>"Usage: DriverTest <in> <out>"</span><span>)</span><span>;</span>     
  63.             <span>System</span>.<span>exit</span><span>(</span><span>2</span><span>)</span><span>;</span>     
  64.         <span>}</span>     
  65.         Job job <span>=</span> <span>new</span> Job<span>(</span>conf, <span>"Driver Test"</span><span>)</span><span>;</span>     
  66.         job.<span>setJarByClass</span><span>(</span>DriverTest.<span>class</span><span>)</span><span>;</span>     
  67.         job.<span>setMapperClass</span><span>(</span>MapperTest.<span>class</span><span>)</span><span>;</span>     
  68.         job.<span>setCombinerClass</span><span>(</span>ReducerTest.<span>class</span><span>)</span><span>;</span>     
  69.         job.<span>setReducerClass</span><span>(</span>ReducerTest.<span>class</span><span>)</span><span>;</span>     
  70.         job.<span>setOutputKeyClass</span><span>(</span>Text.<span>class</span><span>)</span><span>;</span>     
  71.         job.<span>setOutputValueClass</span><span>(</span>IntWritable.<span>class</span><span>)</span><span>;</span>     
  72.    
  73.         conf.<span>setBoolean</span><span>(</span><span>"mapred.output.compress"</span>, <span>true</span><span>)</span><span>;</span>     
  74.         conf.<span>setClass</span><span>(</span><span>"mapred.output.compression.codec"</span>, GzipCodec.<span>class</span>,CompressionCodec.<span>class</span><span>)</span><span>;</span>     
  75.    
  76.         FileInputFormat.<span>addInputPath</span><span>(</span>job, <span>new</span> Path<span>(</span>otherArgs<span>[</span><span>0</span><span>]</span><span>)</span><span>)</span><span>;</span>     
  77.         FileOutputFormat.<span>setOutputPath</span><span>(</span>job, <span>new</span> Path<span>(</span>otherArgs<span>[</span><span>1</span><span>]</span><span>)</span><span>)</span><span>;</span>     
  78.    
  79.         <span>System</span>.<span>exit</span><span>(</span>job.<span>waitForCompletion</span><span>(</span><span>true</span><span>)</span> <span>?</span> <span>0</span> <span>:</span> <span>1</span><span>)</span><span>;</span>     
  80.     <span>}</span>     
  81. <span>}</span>  

6. 在DriverTest上，点击Run As —> Run on Hadoop，选择对应的Hadoop Locaion即可

posted @ 2014-01-21 22:45  Brook Legend  阅读(394)  评论(0)  编辑  收藏  举报