Storm完整例子

标签：1.2   cep   package   ati   lan   manifest   htm   att   googl   

1. import backtype.storm.spout.SpoutOutputCollector;  
2. import backtype.storm.task.TopologyContext;  
3. import backtype.storm.topology.base.BaseRichSpout;  
4. import backtype.storm.utils.Utils;  
5.   
6. import backtype.storm.Config;  
7. import backtype.storm.LocalCluster;  
8. import backtype.storm.StormSubmitter;  
9. import backtype.storm.task.ShellBolt;  
10.   
11. import backtype.storm.topology.BasicOutputCollector;  
12. import backtype.storm.topology.IRichBolt;  
13. import backtype.storm.topology.OutputFieldsDeclarer;  
14. import backtype.storm.topology.TopologyBuilder;  
15. import backtype.storm.topology.base.BaseBasicBolt;  
16.   
17. import backtype.storm.tuple.Fields;  
18. import backtype.storm.tuple.Tuple;  
19. import backtype.storm.tuple.Values;  
20.   
21. import java.util.*;  
22. //import java.util.HashMap;  
23. //import java.util.Map;  
24. //import java.util.Random;  
25. //import java.util.StringTokenizer;  
26.   
27. /* 
28. ** WordCountTopolopgyAllInJava类（单词计数） 
29. */  
30. public class  WordCountTopolopgyAllInJava{  
31.       
32.     // 定义一个喷头，用于产生数据。该类继承自BaseRichSpout  
33.     public static class RandomSentenceSpout extends BaseRichSpout {  
34.         SpoutOutputCollector _collector;  
35.         Random _rand;  
36.           
37.         @Override  
38.         public void open(Map conf, TopologyContext context, SpoutOutputCollector collector){  
39.             _collector = collector;  
40.             _rand = new Random();  
41.         }  
42.           
43.         @Override  
44.         public void nextTuple(){  
45.               
46.             // 睡眠一段时间后再产生一个数据  
47.             Utils.sleep(100);  
48.               
49.             // 句子数组  
50.             String[] sentences = new String[]{ "the cow jumped over the moon", "an apple a day keeps the doctor away",  
51.                 "four score and seven years ago", "snow white and the seven dwarfs", "i am at two with nature" };  
52.               
53.             // 随机选择一个句子  
54.             String sentence = sentences[_rand.nextInt(sentences.length)];  
55.               
56.             // 发射该句子给Bolt  
57.             _collector.emit(new Values(sentence));  
58.         }  
59.           
60.         // 确认函数  
61.         @Override  
62.         public void ack(Object id){  
63.         }  
64.           
65.         // 处理失败的时候调用  
66.         @Override  
67.         public void fail(Object id){  
68.         }  
69.           
70.         @Override  
71.         public void declareOutputFields(OutputFieldsDeclarer declarer){  
72.             // 定义一个字段word  
73.             declarer.declare(new Fields("word"));  
74.         }  
75.     }  
76.       
77.     // 定义个Bolt，用于将句子切分为单词  
78.     public static class SplitSentence extends BaseBasicBolt{  
79.         @Override  
80.         public void execute(Tuple tuple, BasicOutputCollector collector){  
81.             // 接收到一个句子  
82.             String sentence = tuple.getString(0);  
83.             // 把句子切割为单词  
84.             StringTokenizer iter = new StringTokenizer(sentence);  
85.             // 发送每一个单词  
86.             while(iter.hasMoreElements()){  
87.                 collector.emit(new Values(iter.nextToken()));  
88.             }  
89.         }  
90.           
91.         @Override  
92.         public void declareOutputFields(OutputFieldsDeclarer declarer){  
93.             // 定义一个字段  
94.             declarer.declare(new Fields("word"));  
95.         }  
96.     }  
97.       
98.     // 定义一个Bolt，用于单词计数  
99.     public static class WordCount extends BaseBasicBolt {  
100.         Map<String, Integer> counts = new HashMap<String, Integer>();  
101.           
102.         @Override  
103.         public void execute(Tuple tuple, BasicOutputCollector collector){  
104.             // 接收一个单词  
105.             String word = tuple.getString(0);  
106.             // 获取该单词对应的计数  
107.             Integer count = counts.get(word);  
108.             if(count == null)  
109.                 count = 0;  
110.             // 计数增加  
111.             count++;  
112.             // 将单词和对应的计数加入map中  
113.             counts.put(word,count);  
114.             System.out.println("hello word!");  
115.             System.out.println(word +"  "+count);  
116.             // 发送单词和计数（分别对应字段word和count）  
117.             collector.emit(new Values(word, count));  
118.         }  
119.           
120.         @Override  
121.         public void declareOutputFields(OutputFieldsDeclarer declarer){  
122.             // 定义两个字段word和count  
123.             declarer.declare(new Fields("word","count"));  
124.         }  
125.     }  
126.     public static void main(String[] args) throws Exception   
127.     {  
128.         // 创建一个拓扑  
129.         TopologyBuilder builder = new TopologyBuilder();  
130.         // 设置Spout，这个Spout的名字叫做"Spout"，设置并行度为5  
131.         builder.setSpout("Spout", new RandomSentenceSpout(), 5);  
132.         // 设置slot——“split”，并行度为8，它的数据来源是spout的  
133.         builder.setBolt("split", new SplitSentence(), 8).shuffleGrouping("spout");  
134.         // 设置slot——“count”,你并行度为12，它的数据来源是split的word字段  
135.         builder.setBolt("count", new WordCount(), 12).fieldsGrouping("split", new Fields("word"));  
136.           
137.         Config conf = new Config();  
138.         conf.setDebug(false);  
139.           
140.         //if(args != null && args.length > 0){  
141.         //if(false){  
142.         //  conf.setNumWorkers(3);  
143.         //  StormSubmitter.submitTopology(args[0], conf, builder.createTopology());  
144.         //}else{  
145.             conf.setMaxTaskParallelism(3);  
146.               
147.             // 本地集群  
148.             LocalCluster cluster = new LocalCluster();  
149.               
150.             // 提交拓扑（该拓扑的名字叫word-count）  
151.             cluster.submitTopology("word-count", conf, builder.createTopology() );  
152.               
153.             Thread.sleep(10000);  
154.         //  cluster.shutdown();  
155.         //}  
156.     }  
157. }  

使用maven编译该项目： mvn clean package

运行：storm jar word-count-1.0.jar WordCountTopolopgyAllInJava 

结果如下：

hello word!
moon    811
hello word!
an      829
hello word!
apple   829
hello word!
a       829
hello word!
keeps   829
hello word!
day     829
hello word!
score   800
hello word!

pom.xml文件定义如下

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1. <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  
2.   xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">  
3.   <modelVersion>4.0.0</modelVersion>  
4.   
5.  <groupId>storm-yqj</groupId>  
6.   <artifactId>word-count</artifactId>  
7.   <version>1.0</version>  
8.   <packaging>jar</packaging>  
9.   
10.   <name>word-count</name>  
11.   <url>http://maven.apache.org</url>  
12.   
13.   <properties>  
14.     <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>  
15.   </properties>  
16.   
17.     
18.   
19.   <dependencies>  
20.     <dependency>  
21.       <groupId>junit</groupId>  
22.       <artifactId>junit</artifactId>  
23.       <version>3.8.1</version>  
24.       <scope>test</scope>  
25.     </dependency>  
26.     <dependency>  
27.       <groupId>org.testng</groupId>  
28.       <artifactId>testng</artifactId>  
29.       <version>6.8.5</version>  
30.       <scope>test</scope>  
31.     </dependency>  
32.     <dependency>  
33.       <groupId>org.mockito</groupId>  
34.       <artifactId>mockito-all</artifactId>  
35.       <version>1.9.0</version>  
36.       <scope>test</scope>  
37.     </dependency>  
38.     <dependency>  
39.       <groupId>org.easytesting</groupId>  
40.       <artifactId>fest-assert-core</artifactId>  
41.       <version>2.0M8</version>  
42.       <scope>test</scope>  
43.     </dependency>  
44.     <dependency>  
45.       <groupId>org.jmock</groupId>  
46.       <artifactId>jmock</artifactId>  
47.       <version>2.6.0</version>  
48.       <scope>test</scope>  
49.     </dependency>  
50.     <dependency>  
51.       <groupId>org.apache.storm</groupId>  
52.       <artifactId>storm-core</artifactId>  
53.       <version>0.9.1-incubating</version>  
54.     </dependency>  
55.   
56.   
57.     <dependency>  
58.       <groupId>commons-collections</groupId>  
59.       <artifactId>commons-collections</artifactId>  
60.       <version>3.2.1</version>  
61.     </dependency>  
62.     <dependency>  
63.       <groupId>com.google.guava</groupId>  
64.       <artifactId>guava</artifactId>  
65.       <version>15.0</version>  
66.     </dependency>  
67.   </dependencies>  
68.   
69.   <build>  
70.     <resources>  
71.       <resource>  
72.         <directory>${basedir}/multilang</directory>  
73.       </resource>  
74.     </resources>  
75.   
76.     <plugins>  
77.       <plugin>  
78.         <artifactId>maven-assembly-plugin</artifactId>  
79.         <configuration>  
80.           <descriptorRefs>  
81.             <descriptorRef>jar-with-dependencies</descriptorRef>  
82.           </descriptorRefs>  
83.           <archive>  
84.             <manifest>  
85.               <mainClass></mainClass>  
86.             </manifest>  
87.           </archive>  
88.         </configuration>  
89.         <executions>  
90.           <execution>  
91.             <id>make-assembly</id>  
92.             <phase>package</phase>  
93.             <goals>  
94.               <goal>single</goal>  
95.             </goals>  
96.           </execution>  
97.         </executions>  
98.       </plugin>  
99.   
100.       <plugin>  
101.         <groupId>com.theoryinpractise</groupId>  
102.         <artifactId>clojure-maven-plugin</artifactId>  
103.         <version>1.3.12</version>  
104.         <extensions>true</extensions>  
105.         <configuration>  
106.           <sourceDirectories>  
107.             <sourceDirectory>src/clj</sourceDirectory>  
108.           </sourceDirectories>  
109.         </configuration>  
110.         <executions>  
111.           <execution>  
112.             <id>compile</id>  
113.             <phase>compile</phase>  
114.             <goals>  
115.               <goal>compile</goal>  
116.             </goals>  
117.           </execution>  
118.           <execution>  
119.             <id>test</id>  
120.             <phase>test</phase>  
121.             <goals>  
122.               <goal>test</goal>  
123.             </goals>  
124.           </execution>  
125.         </executions>  
126.       </plugin>  
127.   
128.       <plugin>  
129.         <groupId>org.codehaus.mojo</groupId>  
130.         <artifactId>exec-maven-plugin</artifactId>  
131.         <version>1.2.1</version>  
132.         <executions>  
133.           <execution>  
134.             <goals>  
135.               <goal>exec</goal>  
136.             </goals>  
137.           </execution>  
138.         </executions>  
139.         <configuration>  
140.           <executable>java</executable>  
141.           <includeProjectDependencies>true</includeProjectDependencies>  
142.           <includePluginDependencies>false</includePluginDependencies>  
143.           <classpathScope>compile</classpathScope>  
144.           <mainClass>${storm.topology}</mainClass>  
145.         </configuration>  
146.       </plugin>  
147.   
148.       <plugin>  
149.         <groupId>org.apache.maven.plugins</groupId>  
150.         <artifactId>maven-compiler-plugin</artifactId>  
151.         <configuration>  
152.           <source>1.6</source>  
153.           <target>1.6</target>  
154.         </configuration>  
155.       </plugin>  
156.   
157.     </plugins>  
158.   </build>  
159. </project>  

Storm完整例子

标签：1.2   cep   package   ati   lan   manifest   htm   att   googl   

原文地址：http://www.cnblogs.com/hadoop-dev/p/6344603.html