win7下idea远程连接hadoop，运行wordCount

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
 
    <groupId>com.hadoop261</groupId>
    <artifactId>myhadoop</artifactId>
    <version>1.0-SNAPSHOT</version>
 
    <dependencies>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>2.6.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-mapreduce-client-jobclient</artifactId>
            <version>2.6.1</version>
        </dependency>
        <dependency>
            <groupId>commons-cli</groupId>
            <artifactId>commons-cli</artifactId>
            <version>1.2</version>
        </dependency>
    </dependencies>
 
    <build>
        <finalName>${project.artifactId}</finalName>
    </build>

package hadoop.test;


import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
import java.io.IOException;
import java.util.StringTokenizer;

public class WcMapper extends Mapper<LongWritable,Text,Text,IntWritable>{
@Override
protected void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
// IntWritable one=new IntWritable(1);
String line=value.toString();
StringTokenizer st=new StringTokenizer(line);
//StringTokenizer "kongge"
while (st.hasMoreTokens()){
String word= st.nextToken();
context.write(new Text(word),new IntWritable(1)); //output
}
}
}

package hadoop.test;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
import java.io.IOException;

/**
* Created by iespark on 2/26/16.
*/
public class McReducer extends Reducer<Text,IntWritable,Text,IntWritable> {
@Override
protected void reduce(Text key, Iterable<IntWritable> iterable, Context context) throws IOException, InterruptedException {
int sum=0;
for (IntWritable i:iterable){
sum=sum+i.get();
}
context.write(key,new IntWritable(sum));
}
}

package hadoop.test;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

/**
* Created by iespark on 2/26/16.
*/
public class JobRun {
public static void main(String[] args){
Configuration conf=new Configuration();
try{
Job job = Job.getInstance(conf, "word count");
onfiguration conf, String jobName
job.setJarByClass(JobRun.class);
job.setMapperClass(WcMapper.class);
job.setReducerClass(McReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
//解决No job jar file set. User classes may not be found. See Job or Job#setJar(String)报错的问题
job.setJar("E:\idea2017workspace\myhadoop\out\artifacts\myhadoop_jar\myhadoop.jar");

FileInputFormat.addInputPath(job,new Path(args[0]));
FileSystem fs= FileSystem.get(conf);
Path op1=new Path(args[1]);
if(fs.exists(op1)){
fs.delete(op1, true);
System.out.println("存在此输出路径，已删除！！！");
}
FileOutputFormat.setOutputPath(job,op1);
System.exit(job.waitForCompletion(true)?0:1);
}catch (Exception e){
e.printStackTrace();
}
}
}

job.setJar("E:\idea2017workspace\myhadoop\out\artifacts\myhadoop_jar\myhadoop.jar");

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="http://t.zoukankan.com/configuration.xsl"?>

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

<configuration>
<!--配置namenode的地址-->

<property>
<name>fs.defaultFS</name>
<value>hdfs://10.102.19.229:9000</value>
</property>
<!-- 指定hadoop运行时产生文件的存储目录 -->
<property>
<name>hadoop.tmp.dir</name>
<value>file:///data/hadoop/data/tmp</value>
</property>
</configuration>