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

[html] view plain copy print ?

Map/Reduce Master:
Host: 10.10.xx.xx
Port: 9001
DFS Master:
Host: 10.10.xx.xx（选中 User M/R Master host即可）
Port: 9000
User name: root
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
否则，可能会报错org.apache.hadoop.security.AccessControlException

4. 设置本机的Host：

[html] view plain copy print ?

10.10.xx.xx zw-hadoop-master. zw-hadoop-master
#注意后面需要还有一个zw-hadoop-master.，否则运行Map/Reduce时会报错：
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
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：

[java] view plain copy print ?

package com.sohu.hadoop.test;
import java.util.StringTokenizer;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
public class MapperTest extends Mapper<Object, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
public void map(Object key, Text value, Context context)
throws IOException, InterruptedException {
String userid = value.toString().split("[|]")[2];
context.write(new Text(userid), new IntWritable(1));
}
}
package com.sohu.hadoop.test;
import java.io.IOException;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
public class ReducerTest extends Reducer<Text, IntWritable, Text, IntWritable> {
private IntWritable result = new IntWritable();
public void reduce(Text key, Iterable<IntWritable> values, Context context)
throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
result.set(sum);
context.write(key, result);
}
}
package com.sohu.hadoop.test;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.CompressionCodec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.GenericOptionsParser;
public class DriverTest {
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
String[] otherArgs = new GenericOptionsParser(conf, args)
.getRemainingArgs();
if (otherArgs.length != 2)
{
System.err.println("Usage: DriverTest <in> <out>");
System.exit(2);
}
Job job = new Job(conf, "Driver Test");
job.setJarByClass(DriverTest.class);
job.setMapperClass(MapperTest.class);
job.setCombinerClass(ReducerTest.class);
job.setReducerClass(ReducerTest.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
conf.setBoolean("mapred.output.compress", true);
conf.setClass("mapred.output.compression.codec", GzipCodec.class,CompressionCodec.class);
FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}

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

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eclipse安装hadoop插件

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