Storm高并发运用WordSum

1、创建发射所有字符串统计总个数及去重个数处理类

public class SumBolt implements IBasicBolt {

	/**
	 * 对发射所有字符串统计总个数及去重个数
	 */
	private static final long serialVersionUID = 1L;

	Map<String, Integer> counts = new HashMap<String, Integer>();

	public void execute(Tuple input, BasicOutputCollector collector) {
		try {
			// 变量放在方法外面会进行累加，所有数据放在counts这个Map当中。
			long word_sum = 0;// 总数
			long word_count = 0;// 去重后个数

			String word = input.getString(0);
			Integer count = input.getInteger(1);
			counts.put(word, count);

			// 获取总数，遍历counts的values,进行sum
			Iterator<Integer> i = counts.values().iterator();
			while (i.hasNext()) {
				word_sum += i.next();
			}
			Iterator<String> i2 = counts.keySet().iterator();
			while (i2.hasNext()) {
				String oneWord = i2.next();
				if (oneWord != null) {
					word_count ++;
				}
			}
			System.err.println("a="+counts.get("a")+"     b="+counts.get("b")+"     c="+counts.get("c")+"     d="+counts.get("d"));
			System.err.println(
					Thread.currentThread().getName() + "word_sum=" + word_sum + ",-------word_count=" + word_count);
		} catch (Exception e) {
			throw new FailedException("split error!");
		}

	}

	public void cleanup() {
		// TODO Auto-generated method stub

	}

	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		// TODO Auto-generated method stub

	}

	public Map<String, Object> getComponentConfiguration() {
		// TODO Auto-generated method stub
		return null;
	}

	public void prepare(Map stormConf, TopologyContext context) {
		// TODO Auto-generated method stub

	}

}

2、topology增加字符统计

public class WordCountTopology {

	/**
	 * 提交topology的main函数及字符统计处理类
	 */
	public static class SplitSentence extends ShellBolt implements IRichBolt {
		
		private static final long serialVersionUID = 1L;
		
		
		
		/**
		 * 字符统计处理bolt类
		 */
		public static class WordCount extends BaseBasicBolt {
			private static final long serialVersionUID = 1L;
			// 多线程下不能统计Map的key个数，和value表示的字符总数。因为多线下表示只是一部分
			Map<String, Integer> counts = new HashMap<String, Integer>();

			public void execute(Tuple tuple, BasicOutputCollector collector) {
				String word = tuple.getString(0);
				Integer count = counts.get(word);
				if (count == null) {
					count = 0;
				}
				count++;
				counts.put(word, count);
				//System.err.println(Thread.currentThread().getName() + "---word:" + word + "   count:" + count);
				collector.emit(new Values(word, count));
			}

			public void declareOutputFields(OutputFieldsDeclarer declarer) {
				declarer.declare(new Fields("word", "count"));
			}
		}

		//提交topology的main函数
		public static void main(String[] args) throws Exception {
			TopologyBuilder builder = new TopologyBuilder();
			//读取数据用1个线程，防止数据重复读取
			builder.setSpout("spout", new RandomSentenceSpout(), 1);
			//从spout源读取数据，设置2个线程处理字符分割
			builder.setBolt("split", new MysplitBolt(" "), 2).shuffleGrouping("spout");
			/**
			 * 上个bolt接收数据，设置3个线程处理数据统计。
			 * Fields Grouping：按Field分组，相同的tuple会分发给同一个线程（Executer或task）处理。所以不担心多线程问题
			 * 比如按singleWord来分组， 具有同样singleWord的tuple会被分到相同的Bolts， 而不同的word则会被分配到不同的Bolts。
			 */
			//builder.setBolt("count", new WordCount(), 3).fieldsGrouping("split", new Fields("singleWord"));
			//平均分配tuple数据至每一个线程处理，统计会有线程安全问题
			builder.setBolt("count", new WordCount(), 3).shuffleGrouping("split");
			builder.setBolt("sum", new SumBolt(),1).shuffleGrouping("count");

			Config conf = new Config();
			conf.setDebug(true);

			if (args != null && args.length > 0) {
				conf.setNumWorkers(3);

				StormSubmitter.submitTopologyWithProgressBar(args[0], conf, builder.createTopology());
			} else {
				conf.setMaxTaskParallelism(3);

				LocalCluster cluster = new LocalCluster();
				cluster.submitTopology("word-count", conf, builder.createTopology());
			}
		}

		public void declareOutputFields(OutputFieldsDeclarer declarer) {
			// TODO Auto-generated method stub
		}

		public Map<String, Object> getComponentConfiguration() {
			// TODO Auto-generated method stub
			return null;
		}
	}

}

-----------------------其它类--------------------------------------
3.字符发射spout类

/**
 * 字符发射spout类
 */
public class RandomSentenceSpout extends BaseRichSpout {

	private static final long serialVersionUID = 1L;

	SpoutOutputCollector _collector;
	Random _rand;

	public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) {
		_collector = collector;
		_rand = new Random();
	}

	public void nextTuple() {
		//a:2 , b:2 , c:1 , d:3
		String[] sentences = new String[] { sentence("a b c d "), sentence("b d"), sentence("a d") };
		for (String sentence : sentences) {// 发射三行数据致bolt处理
			_collector.emit(new Values(sentence));
		}
		Utils.sleep(1000 * 1000);
	}

	protected String sentence(String input) {
		return input;
	}

	@Override
	public void ack(Object id) {
	}

	@Override
	public void fail(Object id) {
	}

	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		declarer.declare(new Fields("firstSpout"));
	}

	// Add unique identifier to each tuple, which is helpful for debugging
	public static class TimeStamped extends RandomSentenceSpout {
		private final String prefix;

		public TimeStamped() {
			this("");
		}

		public TimeStamped(String prefix) {
			this.prefix = prefix;
		}

		protected String sentence(String input) {
			return prefix + currentDate() + " " + input;
		}

		private String currentDate() {
			return new SimpleDateFormat("yyyy.MM.dd_HH:mm:ss.SSSSSSSSS").format(new Date());
		}
	}
}

4.字符切割处理bolt类

/**
 * 字符切割处理bolt类
 */
public class MysplitBolt implements IBasicBolt {

	private static final long serialVersionUID = 1L;

	String patton;

	public MysplitBolt(String patton) {
		this.patton = patton;
	}

	/**
	 * 接收处理每一行数据
	 */
	public void execute(Tuple input, BasicOutputCollector collector) {
		try {
			String sen = input.getStringByField("firstSpout");
			if (sen != null) {
				for (String word : sen.split(patton)) {// 发射多个字符数据，让下一级bolt处理
					collector.emit(new Values(word));
				}

			}

		} catch (Exception e) {
			throw new FailedException("split error!");
		}

	}

	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		declarer.declare(new Fields("singleWord"));
	}

	public Map<String, Object> getComponentConfiguration() {
		// TODO Auto-generated method stub
		return null;
	}

	public void prepare(Map stormConf, TopologyContext context) {
		// TODO Auto-generated method stub

	}

	public void cleanup() {
		// TODO Auto-generated method stub

	}

}

5.pom文件

引用

<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/maven-v4_0_0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>com.test</groupId>
  <artifactId>StormMavenProject</artifactId>
  <packaging>jar</packaging>
  <version>0.0.1-SNAPSHOT</version>
  <name>StormMavenProject</name>
  <url>http://maven.apache.org</url>
  <dependencies>
   
   <dependency>
    <groupId>org.ow2.asm</groupId>
    <artifactId>asm</artifactId>
    <version>5.0.3</version>
   </dependency>
<dependency>
    <groupId>org.clojure</groupId>
    <artifactId>clojure</artifactId>
    <version>1.7.0</version>
</dependency>
<dependency>
    <groupId>com.lmax</groupId>
    <artifactId>disruptor</artifactId>
    <version>3.3.2</version>
</dependency>
<dependency>
    <groupId>com.esotericsoftware</groupId>
    <artifactId>kryo</artifactId>
    <version>3.0.3</version>
</dependency>
<dependency>
    <groupId>org.apache.logging.log4j</groupId>
    <artifactId>log4j-api</artifactId>
    <version>2.8</version>
</dependency>
<dependency>
    <groupId>org.apache.logging.log4j</groupId>
    <artifactId>log4j-core</artifactId>
    <version>2.8</version>
</dependency>
<dependency>
    <groupId>org.slf4j</groupId>
    <artifactId>log4j-over-slf4j</artifactId>
    <version>1.6.6</version>
</dependency>
<dependency>
    <groupId>org.apache.logging.log4j</groupId>
    <artifactId>log4j-slf4j-impl</artifactId>
    <version>2.8</version>
</dependency>
<dependency>
    <groupId>com.esotericsoftware</groupId>
    <artifactId>minlog</artifactId>
    <version>1.3.0</version>
</dependency>
<dependency>
    <groupId>org.objenesis</groupId>
    <artifactId>objenesis</artifactId>
    <version>2.1</version>
</dependency>
<dependency>
    <groupId>com.esotericsoftware</groupId>
    <artifactId>reflectasm</artifactId>
    <version>1.10.1</version>
</dependency>

<dependency>
    <groupId>javax.servlet</groupId>
    <artifactId>servlet-api</artifactId>
    <version>2.5</version>
</dependency>
<dependency>
    <groupId>org.slf4j</groupId>
    <artifactId>slf4j-api</artifactId>
    <version>1.7.21</version>
</dependency>
<dependency>
    <groupId>org.apache.storm</groupId>
    <artifactId>storm-core</artifactId>
    <version>1.1.0</version>
</dependency>
<dependency>
    <groupId>org.apache.storm</groupId>
    <artifactId>storm-rename-hack</artifactId>
    <version>1.1.0</version>
</dependency>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>3.8.1</version>
      <scope>test</scope>
    </dependency>

<dependency>
    <groupId>ring-cors</groupId>
    <artifactId>ring-cors</artifactId>
    <version>0.1.5</version>
</dependency>

  </dependencies>
  <build>
    <finalName>StormMavenProject</finalName>
  </build>
</project>