mapreduce 程序实例：hotlink统计程序及其oozie 调度

mapreduce程序 ：

 比较好的博客：

1.  http://blog.csdn.net/posa88?viewmode=contents  hadoop源码解析系列

2.  http://www.cnblogs.com/xia520pi/  hadoop集群系列 （特别是其中的 http://www.cnblogs.com/xia520pi/archive/2012/06/04/2534533.html  初级案例）

 

描述： 提取出二进制文件里的短链，并统计排序（由大到小排序）

思路： 在hotlinkCount中提取短链，并统计 （key：短链    value：出现次数）。 在hotlinkSort中读取上个程序的结果进行排序。

HotlinkCount：

  1 /*
  2  * Copyright (c) EEFUNG 2014 All Rights Reserved
  3  *
  4  * 统计每个连接出现的频率
  5  *
  6  */
  7 package com.eefung.hstore.mr.job.hotLink;
  8 
  9 import cn.antvision.eagleattack.model.Status;
 10 import com.eefung.hstore.help.HstoreConstants;
 11 import com.eefung.hstore.help.AvroUtils;
 12 import com.eefung.hstore.mr.input.TimeFramePathFilter;
 13 import org.apache.hadoop.conf.Configuration;
 14 import org.apache.hadoop.conf.Configured;
 15 import org.apache.hadoop.fs.Path;
 16 import org.apache.hadoop.io.BytesWritable;
 17 import org.apache.hadoop.io.IntWritable;
 18 import org.apache.hadoop.io.LongWritable;
 19 import org.apache.hadoop.io.Text;
 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.SequenceFileInputFormat;
 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 import org.apache.hadoop.util.ToolRunner;
 29 import org.slf4j.Logger;
 30 import org.slf4j.LoggerFactory;
 31 import java.io.IOException;
 32 import java.util.regex.Matcher;
 33 import java.util.regex.Pattern;
 34 
 35 public class HotLinkCount extends Configured implements Tool {
 36 
 37     private static final Logger logger = LoggerFactory
 38             .getLogger(HotLinkCount.class);
 39 
 40     public static void main(String[] args) throws Exception {
 41         System.exit(ToolRunner.run(new Configuration(), new HotLinkCount(), args));
 42     }
 43 
 44     @Override
 45     public int run(String[] args) throws Exception {
 46         if (args.length != 3) {
 47             logger.warn("wrong args!");
 48             return 1;
 49         }
 50         String input = args[0].trim();
 51         String output = args[1].trim();
 52         int reducerNum = Integer.parseInt(args[2].trim());
 53         Job job = Job.getInstance(getConf());
 54         job.setJobName("HotLink Count");
 55         job.setJarByClass(HotLinkCount.class);
 56         job.setMapperClass(InnerMapper.class);
 57         job.setReducerClass(InnerReducer.class);
 58 
 59         job.setInputFormatClass(SequenceFileInputFormat.class);
 60         job.setOutputFormatClass(TextOutputFormat.class);
 61 
 62         job.setMapOutputKeyClass(Text.class);
 63         job.setMapOutputValueClass(LongWritable.class);
 64         job.setOutputKeyClass(LongWritable.class);
 65         job.setOutputValueClass(Text.class);
 66 
 67         job.setNumReduceTasks(reducerNum);
 68         FileInputFormat.setInputPathFilter(job, TimeFramePathFilter.class);///
 69 
 70 
 71         String[] sources = input.split(HstoreConstants.DELIMITER_COMMA);
 72         for (String source : sources) {
 73             FileInputFormat.addInputPath(job, new Path(source));
 74         }
 75 
 76         FileOutputFormat.setOutputPath(job, new Path(output));
 77         return job.waitForCompletion(true) ? 0 : 1;
 78     }
 79 
 80     public static class InnerMapper
 81             extends Mapper<LongWritable, BytesWritable, Text, LongWritable>
 82             implements HstoreConstants {
 83 
 84         private final static LongWritable one = new LongWritable(1);
 85         private Text word = new Text();
 86 
 87         Pattern pattern = Pattern
 88                 .compile("https?:\\/\\/[-A-Za-z0-9+&#%?=~_|!:,.;]+\\/[A-Za-z0-9+&#%=~_]{4,}");
 89 
 90         protected void map(LongWritable key, BytesWritable value, Context context) throws IOException, InterruptedException {
 91             Status status = null;
 92             try {
 93                 status = AvroUtils.convertStatusAvroFromBytes(value.getBytes());   //
 94 
 95 
 96             } catch (Exception e) {
 97                 e.printStackTrace();
 98             }
 99             if (status == null) {
100                 return;
101             }
102             if (status.getContent() == null) {
103                 return;
104             }
105             String sb = status.getContent().toString();
106             Matcher matcher = pattern.matcher(sb);
107             while (matcher.find()) {
108                 word.set(matcher.group(0));
109                 context.write(word, one);
110             }
111         }
112     }
113 
114     public static class InnerReducer extends
115             Reducer<Text, LongWritable ,LongWritable,Text> implements HstoreConstants {
116 
117         @Override
118         protected void reduce(Text key, Iterable<LongWritable> values,
119                               Context context) throws IOException, InterruptedException {
120             Long sum = 0L;
121             for (LongWritable value : values) {
122                 sum += value.get();
123             }
124             if (key.toString().length() == 0) {
125                 return;
126             }
127             context.write( new LongWritable(sum),key);
128         }
129         //TimeFramePathFilter
130     }
131 }
View Code

hotlinkSort

  1 package com.eefung.hstore.mr.job.hotLink;
  2 import java.io.IOException;
  3 import java.util.Iterator;
  4 
  5 import com.eefung.hstore.help.HstoreConstants;
  6 import org.apache.hadoop.conf.Configuration;
  7 import org.apache.hadoop.conf.Configured;
  8 import org.apache.hadoop.fs.Path;
  9 import org.apache.hadoop.io.*;
 10 import org.apache.hadoop.mapreduce.Job;
 11 import org.apache.hadoop.mapreduce.Mapper;
 12 import org.apache.hadoop.mapreduce.Reducer;
 13 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
 14 import org.apache.hadoop.mapreduce.lib.input.KeyValueTextInputFormat;
 15 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
 16 import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
 17 import org.apache.hadoop.util.Tool;
 18 import org.apache.hadoop.util.ToolRunner;
 19 import org.slf4j.Logger;
 20 import org.slf4j.LoggerFactory;
 21 
 22 public class HotLinkSort extends Configured implements Tool {
 23 
 24     private static final Logger logger = LoggerFactory
 25             .getLogger(HotLinkSort.class);
 26 
 27 
 28 
 29     public static void main(String[] args) throws Exception {
 30         System.exit(ToolRunner.run(new Configuration(), new HotLinkSort(), args));
 31     }
 32 
 33     @Override
 34     public int run(String[] args) throws Exception {
 35         if (args.length != 3) {
 36             logger.warn("wrong args!");
 37             return 1;
 38         }
 39         String input = args[0].trim();
 40         String output = args[1].trim();
 41         int reducerNum = Integer.parseInt(args[2].trim());
 42         Job job = Job.getInstance(getConf());
 43         job.setJobName("HotLinkSort");
 44         job.setJarByClass(HotLinkSort.class);
 45 
 46         job.setMapperClass(InnerMapper.class);
 47         job.setReducerClass(InnerReducer.class);
 48         job.setSortComparatorClass(InnerComparator.class);
 49 
 50         job.setInputFormatClass(KeyValueTextInputFormat.class);
 51         job.setOutputFormatClass(TextOutputFormat.class);
 52 
 53         job.setMapOutputKeyClass(LongWritable.class);
 54         job.setMapOutputValueClass(Text.class);
 55         job.setOutputKeyClass(Text.class);
 56         job.setOutputValueClass(LongWritable.class);
 57 
 58         job.setNumReduceTasks(reducerNum);
 59         String[] path = input.split(",");
 60         for (int i = 0; i < path.length; i++) {
 61             FileInputFormat.addInputPath(job, new Path(path[i]));
 62         }
 63         FileOutputFormat.setOutputPath(job, new Path(output));
 64 
 65         return job.waitForCompletion(true) ? 0 : 1;
 66     }
 67 
 68     public static class InnerMapper
 69             extends Mapper<Text,Text, LongWritable,Text>
 70             implements HstoreConstants {
 71 
 72 
 73         LongWritable key_out;
 74         long key_long;
 75         String key_str;
 76 
 77          protected void map(Text key, Text value, org.apache.hadoop.mapreduce.Mapper<Text, Text, LongWritable,Text>.Context context) throws java.io.IOException, InterruptedException {
 78 
 79              try {
 80                  key_str=key.toString();
 81                  logger.info("@@@@@@@@@@@@@@ value 是："+key_str);
 82                  key_long=Long.parseLong(key_str.trim());
 83                  key_out=new LongWritable(key_long);
 84 
 85                  context.write(key_out, value);
 86              } catch (NumberFormatException e) {
 87                  e.printStackTrace();
 88              } catch (IOException e) {
 89                  e.printStackTrace();
 90              } catch (InterruptedException e) {
 91                  e.printStackTrace();
 92              }
 93 
 94          }
 95         }
 96 
 97     public static class InnerReducer
 98             extends Reducer<LongWritable,Text,Text,LongWritable> implements
 99             HstoreConstants {
100         @Override
101         protected void setup(Context context) throws IOException, InterruptedException {
102             super.setup(context);
103            // logger.info("@@@@@@@@@@@@@@@@@@@@@@@@@");
104         }
105 
106         public void reduce(LongWritable key, Iterable<Text> values,
107                            Context context
108         ) throws IOException, InterruptedException {
109 
110             Iterator ite = values.iterator();
111             while(ite.hasNext())
112             {
113                 String record = ite.next().toString();
114                 Text temp=new Text();
115                 temp.set(record);
116                 context.write(temp, key);
117             }
118 
119         }
120     }
121 
122     public static class InnerComparator extends WritableComparator {
123 
124         protected InnerComparator(){
125             super(LongWritable.class, true);
126         }
127 
128         public int compare(WritableComparable a, WritableComparable b)
129         {
130             LongWritable aa=(LongWritable)a;
131             LongWritable bb=(LongWritable)b;
132             return -aa.compareTo(bb);
133         }
134     }
135 }
View Code

 

本来还有个短链转长链的过程：

  1 package com.eefung.hstore.mr.job.hotLink;
  2 import java.io.BufferedReader;
  3 import java.io.FileReader;
  4 import java.io.IOException;
  5 import java.text.SimpleDateFormat;
  6 import java.util.Date;
  7 import java.util.Iterator;
  8 import org.apache.http.HttpHost;
  9 import org.apache.http.HttpResponse;
 10 import org.apache.http.client.HttpClient;
 11 import org.apache.http.client.methods.HttpGet;
 12 import org.apache.http.client.methods.HttpUriRequest;
 13 import org.apache.http.impl.client.DefaultHttpClient;
 14 import org.apache.http.params.HttpConnectionParams;
 15 import org.apache.http.protocol.BasicHttpContext;
 16 import org.apache.http.protocol.ExecutionContext;
 17 import org.apache.http.protocol.HttpContext;
 18 import org.apache.http.util.EntityUtils;
 19 import com.eefung.hstore.help.HstoreConstants;
 20 import org.apache.hadoop.conf.Configuration;
 21 import org.apache.hadoop.conf.Configured;
 22 import org.apache.hadoop.fs.Path;
 23 import org.apache.hadoop.io.*;
 24 import org.apache.hadoop.mapreduce.Job;
 25 import org.apache.hadoop.mapreduce.Mapper;
 26 import org.apache.hadoop.mapreduce.Reducer;
 27 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
 28 import org.apache.hadoop.mapreduce.lib.input.KeyValueTextInputFormat;
 29 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
 30 import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
 31 import org.apache.hadoop.util.Tool;
 32 import org.apache.hadoop.util.ToolRunner;
 33 import org.slf4j.Logger;
 34 import org.slf4j.LoggerFactory;
 35 
 36 public class HotLinkRedirector extends Configured implements Tool {
 37 
 38     private static Redirector redirector = new Redirector();
 39 
 40     private static final Logger logger = LoggerFactory
 41             .getLogger(HotLinkRedirector.class);
 42 
 43 
 44 
 45     public static void main(String[] args) throws Exception {
 46         System.exit(ToolRunner.run(new Configuration(), new HotLinkRedirector(), args));
 47 
 48         /*redirector = new Redirector();
 49         BufferedReader reader = new BufferedReader(new FileReader("E:\\temp.txt"));
 50         String shortLine = null;
 51 
 52         SimpleDateFormat df1 = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");//设置日期格式
 53         df1.format(new Date());// new Date()为获取当前系统时间
 54 
 55 
 56         while (true) {
 57             shortLine = reader.readLine();
 58             if (shortLine == null)
 59                 break;
 60 
 61             String url = redirector.getRedirectInfo(shortLine.trim());
 62            // System.out.println("短链是：   " + shortLine + "   长链是：" + url);
 63 
 64         }
 65         SimpleDateFormat df2 = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");//设置日期格式
 66         df2.format(new Date());
 67         System.out.println("开始 "+df1);
 68         System.out.println("结束 "+df2);*/
 69 
 70     }
 71 
 72     @Override
 73     public int run(String[] args) throws Exception {
 74         if (args.length != 3) {
 75             logger.warn("wrong args!");
 76             return 1;
 77         }
 78         int reducerNum = Integer.parseInt(args[2].trim());
 79         Job job = Job.getInstance(getConf());
 80         job.setJobName("HotLink Redirector");
 81 
 82         job.setJarByClass(HotLinkRedirector.class);
 83         job.setMapperClass(InnerMapper.class);
 84 
 85         job.setInputFormatClass(KeyValueTextInputFormat.class);
 86         job.setOutputFormatClass(TextOutputFormat.class);
 87 
 88         job.setMapOutputKeyClass(Text.class);
 89         job.setMapOutputValueClass(LongWritable.class);
 90         job.setOutputKeyClass(Text.class);
 91         job.setOutputValueClass(LongWritable.class);
 92 
 93         job.setNumReduceTasks(reducerNum);
 94 
 95         FileInputFormat.addInputPath(job, new Path(args[0]));
 96         FileOutputFormat.setOutputPath(job, new Path(args[1]));
 97 
 98         return job.waitForCompletion(true) ? 0 : 1;
 99     }
100 
101     public static class InnerMapper
102             extends Mapper<Text,Text,Text,LongWritable>
103             implements HstoreConstants {
104         Text textOut =  new Text();
105         LongWritable valueOut;
106 
107 
108         @Override
109         protected void cleanup(Context context) throws IOException, InterruptedException {
110             redirector.release();
111 
112         }
113 
114         protected void map(Text key, Text value, org.apache.hadoop.mapreduce.Mapper<Text, Text, Text, LongWritable>.Context context) throws java.io.IOException, InterruptedException {
115             String shortLink=key.toString();
116             String longLink=redirector.getRedirectInfo(shortLink);
117             if(longLink==null)
118                  longLink=shortLink;
119             textOut.set(longLink);
120 
121             String temp=value.toString();
122             long a=Long.parseLong(temp);
123             valueOut=new LongWritable(a);
124             context.write(textOut,valueOut);
125         }
126     }
127 
128 
129 
130     private static class Redirector {
131         private HttpClient httpClient; // 发送HTTP请求和从由URI识别的资源接收HTTP响应。
132 
133         public Redirector() {
134             httpClient = new DefaultHttpClient();
135             httpClient.getParams().setParameter(HttpConnectionParams.CONNECTION_TIMEOUT, 1000);
136             httpClient.getParams().setParameter(HttpConnectionParams.SO_TIMEOUT, 1000);
137 
138         }
139 
140         public void release() {
141             httpClient.getConnectionManager().shutdown();
142         }
143 
144         public String getRedirectInfo(String shortLink) {
145             HttpResponse response=null;
146             try {
147                 HttpGet httpGet = new HttpGet(shortLink); // 用于发送 HTTP GET 请求及接收 HTTP
148                 HttpContext httpContext  = new BasicHttpContext(); // 封装了一个独立的HTTP请求的特定的信息。
149                 response = httpClient.execute(httpGet, httpContext);
150              
151 
152                 HttpHost targetHost = (HttpHost) httpContext
153                         .getAttribute(ExecutionContext.HTTP_TARGET_HOST);
154                 
155 
156                 HttpUriRequest realRequest = (HttpUriRequest) httpContext
157                         .getAttribute(ExecutionContext.HTTP_REQUEST);
158 
159                 return targetHost.toString()
160                         + realRequest.getURI().toString();
161 
162             } catch (Throwable e) {
163                 return null;
164             }finally {
165                 try {
166                     if (response != null) {
167                         EntityUtils.consume(response.getEntity());
168                     }
169                 } catch (IOException e) {
170                     e.printStackTrace();
171                 }
172             }
173         }
174     }
175 }
View Code

但是这个转换的过程太慢了，数据量大的时候放在哪个阶段在哪个阶段就kill掉了。

 

 

oozie 调度：

学习的时候主要是看的 http://shiyanjun.cn/archives/tag/oozie 这个博客

描述：分别跑sina，twitter，sohu，tencent，netease几个平台是数据，（先执行hotlinkCount 其结果用于hotlinkSort的输入）。 

编写代码：在工程里的workflow目录下建hotlink目录，其下编写以下几个文件：

1. coordinator.xml:

1 <?xml version="1.0" encoding="UTF-8"?>
2 <coordinator-app name="hotlink" frequency="${coord:days(1)}"
3                  start="${start}" end="${end}" timezone="UTC" xmlns="uri:oozie:coordinator:0.1">
4     <action>
5         <workflow>
6             <app-path>${root}/workflow.xml</app-path>
7         </workflow>
8     </action>
9 </coordinator-app>
View Code
 

 

2. job.properties:

 1 nn=hdfs://hdt01:8020
 2 rm=hdt01:8050
 3 
 4 root=/eefung/yangzf/oozie/jobs/hotlink
 5 start=2015-01-21T13:00Z
 6 end=2020-01-01T00:00Z
 7 
 8 dest=/hotlink
 9 
10 #oozie.wf.application.path=${nn}${root}
11 
12 oozie.coord.application.path=${nn}${root}
13 oozie.libpath=${nn}${root}/lib
14 
15 
16 cbaseColumnFamily=content
17 
18 beginDays=29
19 endDays=26
View Code

 

3. workflow.xml:

 1 <?xml version="1.0" encoding="utf-8"?>
 2 <workflow-app xmlns='uri:oozie:workflow:0.4' name='hotlink'>
 3 
 4     <start to="sina"/>
 5 
 6     <action name="sina">
 7         <sub-workflow>
 8             <app-path>${root}/workflow-hotlink-mr.xml</app-path>
 9             <propagate-configuration/>
10             <configuration>
11                 <property>
12                     <name>platform</name>
13                     <value>sina</value>
14                 </property>
15 
16             </configuration>
17         </sub-workflow>
18         <ok to="twitter"/>
19         <error to="twitter"/>
20     </action>
21 
22     <action name="twitter">
23         <sub-workflow>
24             <app-path>${root}/workflow-hotlink-mr.xml</app-path>
25             <propagate-configuration/>
26             <configuration>
27                 <property>
28                     <name>platform</name>
29                     <value>twitter</value>
30                 </property>
31 
32             </configuration>
33         </sub-workflow>
34         <ok to="tencent"/>
35         <error to="tencent"/>
36     </action>
37 
38     <action name="tencent">
39         <sub-workflow>
40             <app-path>${root}/workflow-hotlink-mr.xml</app-path>
41             <propagate-configuration/>
42             <configuration>
43                 <property>
44                     <name>platform</name>
45                     <value>tencent</value>
46                 </property>
47 
48             </configuration>
49         </sub-workflow>
50         <ok to="netease"/>
51         <error to="netease"/>
52     </action>
53 
54     <action name="netease">
55         <sub-workflow>
56             <app-path>${root}/workflow-hotlink-mr.xml</app-path>
57             <propagate-configuration/>
58             <configuration>
59                 <property>
60                     <name>platform</name>
61                     <value>netease</value>
62                 </property>
63 
64             </configuration>
65         </sub-workflow>
66         <ok to="sohu"/>
67         <error to="sohu"/>
68     </action>
69 
70     <action name="sohu">
71         <sub-workflow>
72             <app-path>${root}/workflow-hotlink-mr.xml</app-path>
73             <propagate-configuration/>
74             <configuration>
75                 <property>
76                     <name>platform</name>
77                     <value>sohu</value>
78                 </property>
79 
80             </configuration>
81         </sub-workflow>
82         <ok to="end"/>
83         <error to="fail"/>
84     </action>
85 
86     <kill name="fail">
87         <message>Failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
88     </kill>
89 
90     <end name="end"/>
91 
92 </workflow-app>
View Code

 

4. workflow-hotlink-mr:

  1 <?xml version="1.0" encoding="utf-8"?>
  2 <workflow-app xmlns='uri:oozie:workflow:0.4' name='hotlink'>
  3 
  4     <start to="count" />
  5 
  6     <action name="count">
  7         <map-reduce>
  8             <job-tracker>${rm}</job-tracker>
  9             <name-node>${nn}</name-node>
 10             <prepare>
 11                 <delete path="${nn}${root}/output/${platform}/count"/>
 12             </prepare>
 13             <configuration>
 14                 <property>
 15                     <name>mapred.mapper.new-api</name>
 16                     <value>true</value>
 17                 </property>
 18                 <property>
 19                     <name>mapred.reducer.new-api</name>
 20                     <value>true</value>
 21                 </property>
 22                 <property>
 23                     <name>mapreduce.map.class</name>
 24                     <value>com.eefung.hstore.mr.job.hotLink.HotLinkCount$InnerMapper</value>
 25                 </property>
 26                 <property>
 27                     <name>mapreduce.reduce.class</name>
 28                     <value>com.eefung.hstore.mr.job.hotLink.HotLinkCount$InnerReducer</value>
 29                 </property>
 30                 <property>
 31                     <name>mapreduce.inputformat.class</name>
 32                     <value>org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat</value>
 33                 </property>
 34                 <property>
 35                     <name>mapreduce.outputformat.class</name>
 36                     <value>org.apache.hadoop.mapreduce.lib.output.TextOutputFormat</value>
 37                 </property>
 38                 <property>
 39                     <name>mapred.mapoutput.key.class</name>
 40                     <value>org.apache.hadoop.io.Text</value>
 41                 </property>
 42                 <property>
 43                     <name>mapred.mapoutput.value.class</name>
 44                     <value>org.apache.hadoop.io.LongWritable</value>
 45                 </property>
 46                 <property>
 47                     <name>mapred.output.key.class</name>
 48                     <value>org.apache.hadoop.io.LongWritable</value>
 49                 </property>
 50                 <property>
 51                     <name>mapred.output.value.class</name>
 52                     <value>org.apache.hadoop.io.Text</value>
 53                 </property>
 54                 <property>
 55                     <name>mapreduce.job.reduces</name>
 56                     <value>12</value>
 57                 </property>
 58 
 59                 <property>
 60                     <name>mapred.input.pathFilter.class</name>
 61                     <value>com.eefung.hstore.mr.input.TimeFramePathFilter</value>
 62                 </property>
 63 
 64                 <property>
 65                     <name>source.time.frame.begin</name>
 66                     <value>${beginDays}</value>
 67                 </property>
 68                 <property>
 69                     <name>source.time.frame.end</name>
 70                     <value>${endDays}</value>
 71                 </property>
 72 
 73                 <property>
 74                     <name>mapred.input.dir</name>
 75                     <value>${root}/input/${platform}/*</value>
 76                 </property>
 77 
 78                 <property>
 79                     <name>mapred.output.dir</name>
 80                     <value>${root}/output/${platform}/count</value>
 81                 </property>
 82             </configuration>
 83         </map-reduce>
 84         <ok to="sort"/>
 85         <error to="fail"/>
 86     </action>
 87 
 88     <action name="sort">
 89         <map-reduce>
 90             <job-tracker>${rm}</job-tracker>
 91             <name-node>${nn}</name-node>
 92             <prepare>
 93                 <delete path="${nn}${root}/output/${platform}/sort"/>
 94             </prepare>
 95             <configuration>
 96                 <property>
 97                     <name>mapred.mapper.new-api</name>
 98                     <value>true</value>
 99                 </property>
100                 <property>
101                     <name>mapred.reducer.new-api</name>
102                     <value>true</value>
103                 </property>
104 
105                 <property>
106                     <name>mapred.input.dir</name>
107                     <value>${root}/output/${platform}/count/*</value>
108                 </property>
109                 <property>
110                     <name>mapred.output.dir</name>
111                     <value>${root}/output/${platform}/sort</value>
112                 </property>
113 
114                 <property>
115                     <name>mapreduce.map.class</name>
116                     <value>com.eefung.hstore.mr.job.hotLink.HotLinkSort$InnerMapper</value>
117                 </property>
118                 <property>
119                     <name>mapreduce.reduce.class</name>
120                     <value>com.eefung.hstore.mr.job.hotLink.HotLinkSort$InnerReducer</value>
121                 </property>
122 
123                 <property>
124                     <name>mapreduce.compare.class</name>
125                     <value>com.eefung.hstore.mr.job.hotLink.HotLinkSort$InnerComparator</value>
126                 </property>
127                 <property>
128                     <name>mapreduce.inputformat.class</name>
129                     <value>org.apache.hadoop.mapreduce.lib.input.KeyValueTextInputFormat</value>
130                 </property>
131                 <property>
132                     <name>mapreduce.outputformat.class</name>
133                     <value>org.apache.hadoop.mapreduce.lib.output.TextOutputFormat</value>
134                 </property>
135                 <property>
136                     <name>mapred.mapoutput.key.class</name>
137                     <value>org.apache.hadoop.io.LongWritable</value>
138                 </property>
139                 <property>
140                     <name>mapred.mapoutput.value.class</name>
141                     <value>org.apache.hadoop.io.Text</value>
142                 </property>
143                 <property>
144                     <name>mapred.output.key.class</name>
145                     <value>org.apache.hadoop.io.Text</value>
146                 </property>
147                 <property>
148                     <name>mapred.output.value.class</name>
149                     <value>org.apache.hadoop.io.LongWritable</value>
150                 </property>
151                 <property>
152                     <name>mapreduce.job.reduces</name>
153                     <value>1</value>
154                 </property>
155 
156 
157             </configuration>
158 
159         </map-reduce>
160         <ok to="end"/>
161         <error to="fail"/>
162     </action>
163 
164 
165 
166     <kill name="fail">
167         <message>Failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
168     </kill>
169     <end name="end"/>
170 </workflow-app>
View Code 

 

注意：

1.在mapreduce中所有的参数都要一一对应地写到配置文件中 ，oozie并不会走main程序。

运行：

1.workflow-hotlink-mr，workflow.xml，coordinator.xml  放到集群中（我的目录是/eefung/yangzf/oozie/jobs/hotlink）,job.properties放到本地（目录是/eefung/yangzf/oozie/jobs/hotlink）（虽然路径名相同但一个在hdfs上，一个在代理服务器上）。

2.输入命令： oozie job -oozie http://hdt02:11000/oozie -config  /home/oozie/eefung/yangzf/oozie/jobs/hotlink/job.properties -run 。

  若成功会返回job id，可以在 http://hdt02:11000/oozie/ 页面跟踪它的运行 。

 

posted @ 2015-02-05 16:37  galaxy77  阅读(351)  评论(0)  编辑  收藏  举报