在Win上提交hadoop集群的作业

一直以来，都以为，想在Win上提交hadoop集群的作业，必须得在eclipse上安装hadoop-eclipse-plugin插件才可以提交，但最近与同事交流，发现其实，不一定必须安装hadoop的eclipse插件，才能提交。今天试了一把，发现果然可以不用安装插件也可以正确提交作业到集群上，故在此总结一下。


既然，无须安装hadoop的eclipse插件，就能提交hadoop作业，那为毛，还出现了这个插件呢？   其实安装插件除了能直接提交作业外，还有一个比较方便的功能，就是能直接在eclipse上对HDFS上的文件，进行删除，上传，新建目录等，这一点是不安装插件做不到的，当然，如果你不需要这些操作，那么就无所谓了，仅仅提交个作业而已。

下面说下，如何在eclipse上使用无插件提交hadoop作业，（在hadoop集群的8088界面上可以看到提交的作业信息是否成功）。

序号

操作

说明

1

eclipse IDE

散仙在这里是4.2版本的eclipse

2

hadoop2.2的64位完整包

散仙在这里放在D盘根目录下

3

修改源码org/apache/hadoop/mapred/YARNRunner.java，改变linux与windows的路径不一致bug

散仙已经修改好，文末散仙会上传这个修改好的类

4

把linux集群上的配置文件，core-site.xml，hdfs-site.xml,mapred.site.xml和yarn-site.xml文件，放在src根目录下，另外在D盘hadoop的/etc/hadoop目录下，覆盖一下

注意一致

5

编写wordcount的MR例子，开始测试

入门测试

6

高富帅工程师一名

主角

7

配置hadoop的win上的环境变量HADOOP_HOME

只配置这一个即可

上面的操作都完成后，就可以进行测试了,散仙在这里的WordCount源码如下：

Java代码  

1. package com.mywordcount;  
2.   
3.    
4.   
5.    
6. import java.io.File;  
7. import java.io.FileInputStream;  
8. import java.io.FileNotFoundException;  
9. import java.io.FilenameFilter;  
10. import java.io.IOException;  
11.   
12. import org.apache.hadoop.conf.Configuration;  
13. import org.apache.hadoop.conf.Configured;  
14. import org.apache.hadoop.fs.FileSystem;  
15. import org.apache.hadoop.fs.Path;  
16. import org.apache.hadoop.io.IntWritable;  
17. import org.apache.hadoop.io.LongWritable;  
18. import org.apache.hadoop.io.Text;  
19. import org.apache.hadoop.mapred.JobConf;  
20. import org.apache.hadoop.mapreduce.Job;  
21. import org.apache.hadoop.mapreduce.Mapper;  
22. import org.apache.hadoop.mapreduce.Reducer;  
23. import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;  
24. import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;  
25. import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;  
26. import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;  
27. import org.apache.hadoop.util.Tool;  
28.   
29. /*** 
30.  *  
31.  * Hadoop2.2.0  无插件提交集群作业 
32.  *  
33.  * @author qindongliang 
34.  *  
35.  *         hadoop技术交流群： 376932160 
36.  *  
37.  *  
38.  * */  
39. public class MyWordCount2 {  
40.   
41.     /** 
42.      * Mapper 
43.      *  
44.      * **/  
45.     private static class WMapper extends  
46.             Mapper<LongWritable, Text, Text, IntWritable> {  
47.   
48.         private IntWritable count = new IntWritable(1);  
49.         private Text text = new Text();  
50.   
51.         @Override  
52.         protected void map(LongWritable key, Text value, Context context)  
53.                 throws IOException, InterruptedException {  
54.             String values[] = value.toString().split("#");  
55.             // System.out.println(values[0]+"========"+values[1]);  
56.             count.set(Integer.parseInt(values[1]));  
57.             text.set(values[0]);  
58.             context.write(text, count);  
59.   
60.         }  
61.   
62.     }  
63.   
64.     /** 
65.      * Reducer 
66.      *  
67.      * **/  
68.     private static class WReducer extends  
69.             Reducer<Text, IntWritable, Text, Text> {  
70.   
71.         private Text t = new Text();  
72.   
73.         @Override  
74.         protected void reduce(Text key, Iterable<IntWritable> value,  
75.                 Context context) throws IOException, InterruptedException {  
76.             int count = 0;  
77.             for (IntWritable i : value) {  
78.                 count += i.get();  
79.             }  
80.             t.set(count + "");  
81.             context.write(key, t);  
82.   
83.         }  
84.   
85.     }  
86.   
87.     public static void printEnv(Job job) {  
88.         Configuration conf = job.getConfiguration();  
89.         System.out.println("###########################################");  
90.         System.out.println("fs.defaultFS:" + conf.get("fs.defaultFS"));  
91.         System.out.println("mapred.job.tracker:"  
92.                 + conf.get("mapred.job.tracker"));  
93.         System.out.println("mapreduce.framework.name" + ":"  
94.                 + conf.get("mapreduce.framework.name"));  
95.         System.out.println("yarn.nodemanager.aux-services" + ":"  
96.                 + conf.get("yarn.nodemanager.aux-services"));  
97.         System.out.println("yarn.resourcemanager.address" + ":"  
98.                 + conf.get("yarn.resourcemanager.address"));  
99.         System.out.println("yarn.resourcemanager.scheduler.address" + ":"  
100.                 + conf.get("yarn.resourcemanager.scheduler.address"));  
101.         System.out.println("yarn.resourcemanager.resource-tracker.address"  
102.                 + ":"  
103.                 + conf.get("yarn.resourcemanager.resource-tracker.address"));  
104.         System.out.println("yarn.application.classpath" + ":"  
105.                 + conf.get("yarn.application.classpath"));  
106.         System.out.println("zkhost:" + conf.get("zkhost"));  
107.         System.out.println("namespace:" + conf.get("namespace"));  
108.         System.out.println("project:" + conf.get("project"));  
109.         System.out.println("collection:" + conf.get("collection"));  
110.         System.out.println("shard:" + conf.get("shard"));  
111.         System.out.println("###########################################");  
112.     }  
113.      /** 
114.       * 载入hadoop的配置文件 
115.       * 兼容hadoop1.x和hadoop2.x 
116.       *  
117.       * */  
118.     public static void getConf(final Configuration conf) throws FileNotFoundException{  
119.         String HADOOP_CONF_DIR = System.getenv().get("HADOOP_CONF_DIR");  
120.         String HADOOP_HOME = System.getenv().get("HADOOP_HOME");  
121.         System.out.println("HADOOP_HOME:" + HADOOP_HOME);  
122.         System.out.println("HADOOP_CONF_DIR:" + HADOOP_CONF_DIR);//此处兼容hadoop1.x  
123.           
124.         //此处兼容hadoop2.x  
125.         if (HADOOP_CONF_DIR == null || HADOOP_CONF_DIR.isEmpty()) {  
126.             HADOOP_CONF_DIR = HADOOP_HOME + "/etc/hadoop";  
127.         }  
128.   
129.         //得到hadoop的conf目录的路径加载文件  
130.         File file = new File(HADOOP_CONF_DIR);  
131.         FilenameFilter filter = new FilenameFilter() {  
132.   
133.             @Override  
134.             public boolean accept(File dir, String name) {  
135.                 return name.endsWith("xml");  
136.             }  
137.         };  
138.           
139.           
140.         //获取hadoop的仅仅xml结尾的文件列表  
141.         String[] list = file.list(filter);  
142.         for (String fn : list) {  
143.             System.out.println("Loading Configuration: " + HADOOP_CONF_DIR  
144.                     + "/" + fn);  
145.             //循环加载xml文件  
146.             conf.addResource(new FileInputStream(HADOOP_CONF_DIR + "/" + fn));  
147.         }  
148.   
149.            
150.           
151.         //yarn的classpath路径，如果为空则加载拼接yarn的路径  
152.         if (conf.get("yarn.application.classpath", "").isEmpty()) {  
153.             StringBuilder sb = new StringBuilder();  
154.             sb.append(System.getenv("CLASSPATH")).append(":");  
155.             sb.append(HADOOP_HOME).append("/share/hadoop/common/lib/*")  
156.                     .append(":");  
157.             sb.append(HADOOP_HOME).append("/share/hadoop/common/*").append(":");  
158.             sb.append(HADOOP_HOME).append("/share/hadoop/hdfs/*").append(":");  
159.             sb.append(HADOOP_HOME).append("/share/hadoop/mapreduce/*")  
160.                     .append(":");  
161.             sb.append(HADOOP_HOME).append("/share/hadoop/yarn/*").append(":");  
162.             sb.append(HADOOP_HOME).append("/lib/*").append(":");  
163.             conf.set("yarn.application.classpath", sb.toString());  
164.         }  
165.           
166.           
167.           
168.           
169.           
170.           
171.     }  
172.       
173.    
174.   
175.     public static void main(String[] args) throws Exception { {  
176.                
177.             Configuration conf = new Configuration();  
178.             conf.set("mapreduce.job.jar", "myjob.jar");//此处代码，一定放在Job任务前面，否则会报类找不到的异常  
179.             Job job = Job.getInstance(conf, "345");    
180.             getConf(conf);  
181.             job.setJarByClass(MyWordCount2.class);  
182.   
183.             job.setMapperClass(WMapper.class);  
184.             job.setReducerClass(WReducer.class);  
185.             job.setInputFormatClass(TextInputFormat.class);  
186.             job.setOutputFormatClass(TextOutputFormat.class);  
187.   
188.             job.setMapOutputKeyClass(Text.class);  
189.             job.setMapOutputValueClass(IntWritable.class);  
190.             job.setOutputKeyClass(Text.class);  
191.             job.setOutputValueClass(Text.class);  
192.   
193.             String path = "/qin/output";  
194.             FileSystem fs = FileSystem.get(conf);  
195.             Path p = new Path(path);  
196.             if (fs.exists(p)) {  
197.                 fs.delete(p, true);  
198.                 System.out.println("输出路径存在，已删除！");  
199.             }  
200.             FileInputFormat.setInputPaths(job, "/qin/input");  
201.             FileOutputFormat.setOutputPath(job, p);  
202.             printEnv(job);  
203.             System.exit(job.waitForCompletion(true) ? 0 : 1);   
204.            
205.     }  
206.   
207.     }  
208. }  

package com.mywordcount;

 

 
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FilenameFilter;
import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.util.Tool;

/***
 * 
 * Hadoop2.2.0  无插件提交集群作业
 * 
 * @author qindongliang
 * 
 *         hadoop技术交流群： 376932160
 * 
 * 
 * */
public class MyWordCount2 {

	/**
	 * Mapper
	 * 
	 * **/
	private static class WMapper extends
			Mapper<LongWritable, Text, Text, IntWritable> {

		private IntWritable count = new IntWritable(1);
		private Text text = new Text();

		@Override
		protected void map(LongWritable key, Text value, Context context)
				throws IOException, InterruptedException {
			String values[] = value.toString().split("#");
			// System.out.println(values[0]+"========"+values[1]);
			count.set(Integer.parseInt(values[1]));
			text.set(values[0]);
			context.write(text, count);

		}

	}

	/**
	 * Reducer
	 * 
	 * **/
	private static class WReducer extends
			Reducer<Text, IntWritable, Text, Text> {

		private Text t = new Text();

		@Override
		protected void reduce(Text key, Iterable<IntWritable> value,
				Context context) throws IOException, InterruptedException {
			int count = 0;
			for (IntWritable i : value) {
				count += i.get();
			}
			t.set(count + "");
			context.write(key, t);

		}

	}

	public static void printEnv(Job job) {
		Configuration conf = job.getConfiguration();
		System.out.println("###########################################");
		System.out.println("fs.defaultFS:" + conf.get("fs.defaultFS"));
		System.out.println("mapred.job.tracker:"
				+ conf.get("mapred.job.tracker"));
		System.out.println("mapreduce.framework.name" + ":"
				+ conf.get("mapreduce.framework.name"));
		System.out.println("yarn.nodemanager.aux-services" + ":"
				+ conf.get("yarn.nodemanager.aux-services"));
		System.out.println("yarn.resourcemanager.address" + ":"
				+ conf.get("yarn.resourcemanager.address"));
		System.out.println("yarn.resourcemanager.scheduler.address" + ":"
				+ conf.get("yarn.resourcemanager.scheduler.address"));
		System.out.println("yarn.resourcemanager.resource-tracker.address"
				+ ":"
				+ conf.get("yarn.resourcemanager.resource-tracker.address"));
		System.out.println("yarn.application.classpath" + ":"
				+ conf.get("yarn.application.classpath"));
		System.out.println("zkhost:" + conf.get("zkhost"));
		System.out.println("namespace:" + conf.get("namespace"));
		System.out.println("project:" + conf.get("project"));
		System.out.println("collection:" + conf.get("collection"));
		System.out.println("shard:" + conf.get("shard"));
		System.out.println("###########################################");
	}
	 /**
	  * 载入hadoop的配置文件
	  * 兼容hadoop1.x和hadoop2.x
	  * 
	  * */
	public static void getConf(final Configuration conf) throws FileNotFoundException{
		String HADOOP_CONF_DIR = System.getenv().get("HADOOP_CONF_DIR");
		String HADOOP_HOME = System.getenv().get("HADOOP_HOME");
		System.out.println("HADOOP_HOME:" + HADOOP_HOME);
		System.out.println("HADOOP_CONF_DIR:" + HADOOP_CONF_DIR);//此处兼容hadoop1.x
		
		//此处兼容hadoop2.x
		if (HADOOP_CONF_DIR == null || HADOOP_CONF_DIR.isEmpty()) {
			HADOOP_CONF_DIR = HADOOP_HOME + "/etc/hadoop";
		}

		//得到hadoop的conf目录的路径加载文件
		File file = new File(HADOOP_CONF_DIR);
		FilenameFilter filter = new FilenameFilter() {

			@Override
			public boolean accept(File dir, String name) {
				return name.endsWith("xml");
			}
		};
		
		
		//获取hadoop的仅仅xml结尾的文件列表
		String[] list = file.list(filter);
		for (String fn : list) {
			System.out.println("Loading Configuration: " + HADOOP_CONF_DIR
					+ "/" + fn);
			//循环加载xml文件
			conf.addResource(new FileInputStream(HADOOP_CONF_DIR + "/" + fn));
		}

		 
		
		//yarn的classpath路径，如果为空则加载拼接yarn的路径
		if (conf.get("yarn.application.classpath", "").isEmpty()) {
			StringBuilder sb = new StringBuilder();
			sb.append(System.getenv("CLASSPATH")).append(":");
			sb.append(HADOOP_HOME).append("/share/hadoop/common/lib/*")
					.append(":");
			sb.append(HADOOP_HOME).append("/share/hadoop/common/*").append(":");
			sb.append(HADOOP_HOME).append("/share/hadoop/hdfs/*").append(":");
			sb.append(HADOOP_HOME).append("/share/hadoop/mapreduce/*")
					.append(":");
			sb.append(HADOOP_HOME).append("/share/hadoop/yarn/*").append(":");
			sb.append(HADOOP_HOME).append("/lib/*").append(":");
			conf.set("yarn.application.classpath", sb.toString());
		}
		
		
		
		
		
		
	}
	
 

	public static void main(String[] args) throws Exception { {
			 
			Configuration conf = new Configuration();
			conf.set("mapreduce.job.jar", "myjob.jar");//此处代码，一定放在Job任务前面，否则会报类找不到的异常
			Job job = Job.getInstance(conf, "345");	 
			getConf(conf);
			job.setJarByClass(MyWordCount2.class);

			job.setMapperClass(WMapper.class);
			job.setReducerClass(WReducer.class);
			job.setInputFormatClass(TextInputFormat.class);
			job.setOutputFormatClass(TextOutputFormat.class);

			job.setMapOutputKeyClass(Text.class);
			job.setMapOutputValueClass(IntWritable.class);
			job.setOutputKeyClass(Text.class);
			job.setOutputValueClass(Text.class);

			String path = "/qin/output";
			FileSystem fs = FileSystem.get(conf);
			Path p = new Path(path);
			if (fs.exists(p)) {
				fs.delete(p, true);
				System.out.println("输出路径存在，已删除！");
			}
			FileInputFormat.setInputPaths(job, "/qin/input");
			FileOutputFormat.setOutputPath(job, p);
			printEnv(job);
			System.exit(job.waitForCompletion(true) ? 0 : 1); 
		 
	}

	}
}

项目结构目录，截图如下：



运行信息如下：

Java代码  

1. HADOOP_HOME:D:\hadoop-2.2.0  
2. HADOOP_CONF_DIR:null  
3. Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/capacity-scheduler.xml  
4. Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/core-site.xml  
5. Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/hadoop-policy.xml  
6. Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/hdfs-site.xml  
7. Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/httpfs-site.xml  
8. Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/mapred-site.xml  
9. Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/yarn-site.xml  
10. 2014-06-25 20:40:08,419 WARN  [main] conf.Configuration (Configuration.java:loadProperty(2172)) - java.io.FileInputStream@3ba08dab:an attempt to override final parameter: mapreduce.jobtracker.address;  Ignoring.  
11. 输出路径存在，已删除！  
12. ###########################################  
13. fs.defaultFS:hdfs://h1:9000  
14. 2014-06-25 20:40:08,897 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address  
15. mapred.job.tracker:h1:8021  
16. mapreduce.framework.name:yarn  
17. yarn.nodemanager.aux-services:mapreduce_shuffle  
18. yarn.resourcemanager.address:h1:8032  
19. yarn.resourcemanager.scheduler.address:h1:8030  
20. yarn.resourcemanager.resource-tracker.address:h1:8031  
21. yarn.application.classpath:$HADOOP_CONF_DIR,$HADOOP_COMMON_HOME/share/hadoop/common/*,$HADOOP_COMMON_HOME/share/hadoop/common/lib/*,$HADOOP_HDFS_HOME/share/hadoop/hdfs/*,$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*,$HADOOP_YARN_HOME/share/hadoop/yarn/*,$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*  
22. zkhost:null  
23. namespace:null  
24. project:null  
25. collection:null  
26. shard:null  
27. ###########################################  
28. 2014-06-25 20:40:08,972 INFO  [main] client.RMProxy (RMProxy.java:createRMProxy(56)) - Connecting to ResourceManager at h1/192.168.46.32:8032  
29. 2014-06-25 20:40:09,153 WARN  [main] mapreduce.JobSubmitter (JobSubmitter.java:copyAndConfigureFiles(149)) - Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.  
30. 2014-06-25 20:40:09,331 INFO  [main] input.FileInputFormat (FileInputFormat.java:listStatus(287)) - Total input paths to process : 1  
31. 2014-06-25 20:40:09,402 INFO  [main] mapreduce.JobSubmitter (JobSubmitter.java:submitJobInternal(394)) - number of splits:1  
32. 2014-06-25 20:40:09,412 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - user.name is deprecated. Instead, use mapreduce.job.user.name  
33. 2014-06-25 20:40:09,412 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.jar is deprecated. Instead, use mapreduce.job.jar  
34. 2014-06-25 20:40:09,413 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class  
35. 2014-06-25 20:40:09,413 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.mapoutput.value.class is deprecated. Instead, use mapreduce.map.output.value.class  
36. 2014-06-25 20:40:09,413 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class  
37. 2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.job.name is deprecated. Instead, use mapreduce.job.name  
38. 2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class  
39. 2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapreduce.inputformat.class is deprecated. Instead, use mapreduce.job.inputformat.class  
40. 2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir  
41. 2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir  
42. 2014-06-25 20:40:09,415 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapreduce.outputformat.class is deprecated. Instead, use mapreduce.job.outputformat.class  
43. 2014-06-25 20:40:09,416 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps  
44. 2014-06-25 20:40:09,416 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class  
45. 2014-06-25 20:40:09,416 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.mapoutput.key.class is deprecated. Instead, use mapreduce.map.output.key.class  
46. 2014-06-25 20:40:09,416 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir  
47. 2014-06-25 20:40:09,502 INFO  [main] mapreduce.JobSubmitter (JobSubmitter.java:printTokens(477)) - Submitting tokens for job: job_1403723552088_0016  
48. 2014-06-25 20:40:09,651 INFO  [main] impl.YarnClientImpl (YarnClientImpl.java:submitApplication(174)) - Submitted application application_1403723552088_0016 to ResourceManager at h1/192.168.46.32:8032  
49. 2014-06-25 20:40:09,683 INFO  [main] mapreduce.Job (Job.java:submit(1272)) - The url to track the job: http://h1:8088/proxy/application_1403723552088_0016/  
50. 2014-06-25 20:40:09,683 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1317)) - Running job: job_1403723552088_0016  
51. 2014-06-25 20:40:17,070 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1338)) - Job job_1403723552088_0016 running in uber mode : false  
52. 2014-06-25 20:40:17,072 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1345)) -  map 0% reduce 0%  
53. 2014-06-25 20:40:23,232 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1345)) -  map 100% reduce 0%  
54. 2014-06-25 20:40:30,273 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1345)) -  map 100% reduce 100%  
55. 2014-06-25 20:40:30,289 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1356)) - Job job_1403723552088_0016 completed successfully  
56. 2014-06-25 20:40:30,403 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1363)) - Counters: 43  
57.     File System Counters  
58.         FILE: Number of bytes read=58  
59.         FILE: Number of bytes written=160123  
60.         FILE: Number of read operations=0  
61.         FILE: Number of large read operations=0  
62.         FILE: Number of write operations=0  
63.         HDFS: Number of bytes read=136  
64.         HDFS: Number of bytes written=27  
65.         HDFS: Number of read operations=6  
66.         HDFS: Number of large read operations=0  
67.         HDFS: Number of write operations=2  
68.     Job Counters   
69.         Launched map tasks=1  
70.         Launched reduce tasks=1  
71.         Data-local map tasks=1  
72.         Total time spent by all maps in occupied slots (ms)=4398  
73.         Total time spent by all reduces in occupied slots (ms)=4263  
74.     Map-Reduce Framework  
75.         Map input records=4  
76.         Map output records=4  
77.         Map output bytes=44  
78.         Map output materialized bytes=58  
79.         Input split bytes=98  
80.         Combine input records=0  
81.         Combine output records=0  
82.         Reduce input groups=3  
83.         Reduce shuffle bytes=58  
84.         Reduce input records=4  
85.         Reduce output records=3  
86.         Spilled Records=8  
87.         Shuffled Maps =1  
88.         Failed Shuffles=0  
89.         Merged Map outputs=1  
90.         GC time elapsed (ms)=94  
91.         CPU time spent (ms)=980  
92.         Physical memory (bytes) snapshot=310431744  
93.         Virtual memory (bytes) snapshot=1681850368  
94.         Total committed heap usage (bytes)=136450048  
95.     Shuffle Errors  
96.         BAD_ID=0  
97.         CONNECTION=0  
98.         IO_ERROR=0  
99.         WRONG_LENGTH=0  
100.         WRONG_MAP=0  
101.         WRONG_REDUCE=0  
102.     File Input Format Counters   
103.         Bytes Read=38  
104.     File Output Format Counters   
105.         Bytes Written=27  

HADOOP_HOME:D:\hadoop-2.2.0
HADOOP_CONF_DIR:null
Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/capacity-scheduler.xml
Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/core-site.xml
Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/hadoop-policy.xml
Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/hdfs-site.xml
Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/httpfs-site.xml
Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/mapred-site.xml
Loading Configuration: D:\hadoop-2.2.0/etc/hadoop/yarn-site.xml
2014-06-25 20:40:08,419 WARN  [main] conf.Configuration (Configuration.java:loadProperty(2172)) - java.io.FileInputStream@3ba08dab:an attempt to override final parameter: mapreduce.jobtracker.address;  Ignoring.
输出路径存在，已删除！
###########################################
fs.defaultFS:hdfs://h1:9000
2014-06-25 20:40:08,897 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address
mapred.job.tracker:h1:8021
mapreduce.framework.name:yarn
yarn.nodemanager.aux-services:mapreduce_shuffle
yarn.resourcemanager.address:h1:8032
yarn.resourcemanager.scheduler.address:h1:8030
yarn.resourcemanager.resource-tracker.address:h1:8031
yarn.application.classpath:$HADOOP_CONF_DIR,$HADOOP_COMMON_HOME/share/hadoop/common/*,$HADOOP_COMMON_HOME/share/hadoop/common/lib/*,$HADOOP_HDFS_HOME/share/hadoop/hdfs/*,$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*,$HADOOP_YARN_HOME/share/hadoop/yarn/*,$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*
zkhost:null
namespace:null
project:null
collection:null
shard:null
###########################################
2014-06-25 20:40:08,972 INFO  [main] client.RMProxy (RMProxy.java:createRMProxy(56)) - Connecting to ResourceManager at h1/192.168.46.32:8032
2014-06-25 20:40:09,153 WARN  [main] mapreduce.JobSubmitter (JobSubmitter.java:copyAndConfigureFiles(149)) - Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
2014-06-25 20:40:09,331 INFO  [main] input.FileInputFormat (FileInputFormat.java:listStatus(287)) - Total input paths to process : 1
2014-06-25 20:40:09,402 INFO  [main] mapreduce.JobSubmitter (JobSubmitter.java:submitJobInternal(394)) - number of splits:1
2014-06-25 20:40:09,412 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - user.name is deprecated. Instead, use mapreduce.job.user.name
2014-06-25 20:40:09,412 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.jar is deprecated. Instead, use mapreduce.job.jar
2014-06-25 20:40:09,413 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class
2014-06-25 20:40:09,413 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.mapoutput.value.class is deprecated. Instead, use mapreduce.map.output.value.class
2014-06-25 20:40:09,413 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class
2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.job.name is deprecated. Instead, use mapreduce.job.name
2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class
2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapreduce.inputformat.class is deprecated. Instead, use mapreduce.job.inputformat.class
2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
2014-06-25 20:40:09,414 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
2014-06-25 20:40:09,415 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapreduce.outputformat.class is deprecated. Instead, use mapreduce.job.outputformat.class
2014-06-25 20:40:09,416 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
2014-06-25 20:40:09,416 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
2014-06-25 20:40:09,416 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.mapoutput.key.class is deprecated. Instead, use mapreduce.map.output.key.class
2014-06-25 20:40:09,416 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(840)) - mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
2014-06-25 20:40:09,502 INFO  [main] mapreduce.JobSubmitter (JobSubmitter.java:printTokens(477)) - Submitting tokens for job: job_1403723552088_0016
2014-06-25 20:40:09,651 INFO  [main] impl.YarnClientImpl (YarnClientImpl.java:submitApplication(174)) - Submitted application application_1403723552088_0016 to ResourceManager at h1/192.168.46.32:8032
2014-06-25 20:40:09,683 INFO  [main] mapreduce.Job (Job.java:submit(1272)) - The url to track the job: http://h1:8088/proxy/application_1403723552088_0016/
2014-06-25 20:40:09,683 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1317)) - Running job: job_1403723552088_0016
2014-06-25 20:40:17,070 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1338)) - Job job_1403723552088_0016 running in uber mode : false
2014-06-25 20:40:17,072 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1345)) -  map 0% reduce 0%
2014-06-25 20:40:23,232 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1345)) -  map 100% reduce 0%
2014-06-25 20:40:30,273 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1345)) -  map 100% reduce 100%
2014-06-25 20:40:30,289 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1356)) - Job job_1403723552088_0016 completed successfully
2014-06-25 20:40:30,403 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1363)) - Counters: 43
	File System Counters
		FILE: Number of bytes read=58
		FILE: Number of bytes written=160123
		FILE: Number of read operations=0
		FILE: Number of large read operations=0
		FILE: Number of write operations=0
		HDFS: Number of bytes read=136
		HDFS: Number of bytes written=27
		HDFS: Number of read operations=6
		HDFS: Number of large read operations=0
		HDFS: Number of write operations=2
	Job Counters 
		Launched map tasks=1
		Launched reduce tasks=1
		Data-local map tasks=1
		Total time spent by all maps in occupied slots (ms)=4398
		Total time spent by all reduces in occupied slots (ms)=4263
	Map-Reduce Framework
		Map input records=4
		Map output records=4
		Map output bytes=44
		Map output materialized bytes=58
		Input split bytes=98
		Combine input records=0
		Combine output records=0
		Reduce input groups=3
		Reduce shuffle bytes=58
		Reduce input records=4
		Reduce output records=3
		Spilled Records=8
		Shuffled Maps =1
		Failed Shuffles=0
		Merged Map outputs=1
		GC time elapsed (ms)=94
		CPU time spent (ms)=980
		Physical memory (bytes) snapshot=310431744
		Virtual memory (bytes) snapshot=1681850368
		Total committed heap usage (bytes)=136450048
	Shuffle Errors
		BAD_ID=0
		CONNECTION=0
		IO_ERROR=0
		WRONG_LENGTH=0
		WRONG_MAP=0
		WRONG_REDUCE=0
	File Input Format Counters 
		Bytes Read=38
	File Output Format Counters 
		Bytes Written=27

至此，我们已经可以成功的在无插件的环境里提交hadoop任务了，如果提交过程中，出现权限异常，可以在eclipse的run环境里配置，linux上安装hadoop的用户名即可，截图如下：



注意，一定是安装hadoop的用户，写成其他的用户，可能会导致没有权限访问HDFS上的数据，从而使提交的作业运行失败。