1 eclipse配置
下载hadoop-eclipse-plugin-2.6.4.jar插件，将放到eclipse的plugins目录或者dropins下，重启eclipse
选择Window->Show View->Other->MapReduce Tools->Map/Reduce Locations

配置好后，eclipse可以连接到远程的DFS

2 windows配置
选择Window->Prefrences->Hadoop Map/Reduce，配置本地的hadoop，但是本地hadoop默认即可，不需要调整。

配置环境变量

将winutils.exe复制到本地hadoop的$HADOOP_HOME\bin目录
将hadoop.dll复制到%windir%\System32目录
winutils.exe和hadoop.dll的获取，您可以从csdn上下载hadoop2.6.4 winutils，也可以自行在hadoop-common-project\hadoop-common\src\main\winutils编译那个.net工程
环境变量配置


3 wordcount示例的运行
创建maven工程，不赘述，在pom.xml中引入hadoop的jar。

	<properties>
		<hadoop.version>2.6.4</hadoop.version>
	</properties>

	<!-- hadoop -->
		<dependency>
			<groupId>org.apache.hadoop</groupId>
			<artifactId>hadoop-common</artifactId>
			<version>${hadoop.version}</version>
		</dependency>
		<dependency>
			<groupId>org.apache.hadoop</groupId>
			<artifactId>hadoop-hdfs</artifactId>
			<version>${hadoop.version}</version>
		</dependency>
		<dependency>
			<groupId>org.apache.hadoop</groupId>
			<artifactId>hadoop-client</artifactId>
			<version>${hadoop.version}</version>
		</dependency>

将core-site.xml、hdfs-site.xml、mapred-site.xml、yarn-site.xml拷贝到src/main/resources
将源码中的WordCount导入到工程中，编译Export出jar到其他的文件夹中，为方便测试命名为testWordCount.jar
然后修改工程的main代码，添加下图红色部分内容

配置Run Configurations，在Arguments中添加参数
第一行hdfs://192.168.5.174:9000/user/hadoop/testdata/test.log是输入文件
第二行hdfs://192.168.5.174:9000/user/hadoop/testdata/output2是输出目录

test.log的内容可通过以下代码写入

import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.UnsupportedEncodingException;
import java.net.URI;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IOUtils;
import org.junit.Test;

public class TestHdfs {

	@Test
	public void test_hdfs(){
		String uri = "hdfs://192.168.5.174:9000/";
		Configuration config = new Configuration(); 
		try {
			FileSystem fs = FileSystem.get(URI.create(uri), config);
			//
			FileStatus[] statuses = fs.listStatus(new Path("/user/hadoop/testdata"));
			for (FileStatus status:statuses){
				System.out.println(status);
			}
			//
			
			
			FSDataOutputStream os = fs.create(new Path("/user/hadoop/testdata/test.log"));
			os.write(readFile());
			os.flush();
			os.close();
			//
			InputStream is = fs.open(new Path("/user/hadoop/testdata/test.log")); 
			IOUtils.copyBytes(is, System.out, 1024, true);  
		} catch (IOException e) {
			e.printStackTrace();
		}  
		
	}
	
	private byte[] readFile(){
		File file = new File("F:/阿里云/174/hadoop-hadoop-namenode-dashuju174.log");
		StringBuffer text = new StringBuffer();
		try {
			InputStreamReader read = new  InputStreamReader(new FileInputStream(file),"UTF-8");
			String lineTxt = null;
			BufferedReader bufferedReader = new BufferedReader(read);
            while((lineTxt = bufferedReader.readLine()) != null){
                text.append(lineTxt).append("\n");
            }
            read.close();
		} catch (UnsupportedEncodingException | FileNotFoundException e) {
			e.printStackTrace();
		} catch (IOException e) {
			// TODO Auto-generated catch block
			e.printStackTrace();
		}
		return text.toString().getBytes();
	}
}

运行后结果