Storm手写WordCount

建立一个maven项目，在pom.xml中进行如下配置：

<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>cn.darrenchan</groupId>
    <artifactId>StormDemo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>StormDemo</name>

    <dependencies>
        <dependency>
            <groupId>org.apache.storm</groupId>
            <artifactId>storm-core</artifactId>
            <version>0.9.5</version>
            <!--<scope>provided</scope> -->
        </dependency>
    </dependencies>
    <build>
        <plugins>
            <plugin>
                <artifactId>maven-assembly-plugin</artifactId>
                <configuration>
                    <descriptorRefs>
                        <descriptorRef>jar-with-dependencies</descriptorRef>
                    </descriptorRefs>
                    <archive>
                        <manifest>
                            <mainClass>cn.itcast.bigdata.hadoop.mapreduce.wordcount.WordCount</mainClass>
                        </manifest>
                    </archive>
                </configuration>
                <executions>
                    <execution>
                        <id>make-assembly</id>
                        <phase>package</phase>
                        <goals>
                            <goal>single</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <source>1.7</source>
                    <target>1.7</target>
                </configuration>
            </plugin>
        </plugins>
    </build>

</project>

项目目录为：

MySpout.java:

package cn.darrenchan.storm;

import java.util.Map;

import backtype.storm.spout.SpoutOutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.base.BaseRichSpout;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Values;

public class MySpout extends BaseRichSpout {

    private SpoutOutputCollector collector;

    //storm框架不停地调用nextTuple方法
    //values继承ArrayList
    @Override
    public void nextTuple() {
        collector.emit(new Values("i am lilei love hanmeimei"));
    }

    //初始化方法
    @Override
    public void open(Map config, TopologyContext context, SpoutOutputCollector collector) {
        this.collector = collector;
    }

    //声明本spout组件发送出去的tuple中的数据的字段名
    @Override
    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        declarer.declare(new Fields("love"));
    }

}

MySplitBolt.java:

package cn.darrenchan.storm;

import java.util.Map;

import backtype.storm.task.OutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.base.BaseRichBolt;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Tuple;
import backtype.storm.tuple.Values;

public class MySplitBolt extends BaseRichBolt {

    private OutputCollector collector;

    //storm框架不停地调用，传入参数是tutle
    @Override
    public void execute(Tuple input) {
        String line = input.getString(0);
        String[] words = line.split(" ");
        for (String word : words) {
            //Values有两个，对应下面Fields有两个
            collector.emit(new Values(word, 1));
        }
    }

    //初始化方法
    @Override
    public void prepare(Map config, TopologyContext context, OutputCollector collector) {
        this.collector = collector;
    }

    @Override
    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        //Fields有两个，对应上面Values有两个
        declarer.declare(new Fields("word", "num"));
    }

}

MyCountBolt.java:

package cn.darrenchan.storm;

import java.util.HashMap;
import java.util.Map;

import backtype.storm.task.OutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.base.BaseRichBolt;
import backtype.storm.tuple.Tuple;

public class MyCountBolt extends BaseRichBolt {

    private OutputCollector collector;
    private Map<String, Integer> map;

    @Override
    public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {
        this.collector = collector;
        map = new HashMap<String, Integer>();
    }

    @Override
    public void execute(Tuple input) {
        String word = input.getString(0);
        Integer num = input.getInteger(1);
        if(map.containsKey(word)){
            map.put(word, map.get(word) + num);
        } else {
            map.put(word, 1);
        }

        System.out.println(map);
    }

    @Override
    public void declareOutputFields(OutputFieldsDeclarer declarer) {

    }

}

WordCountTopoloyMain.java:

package cn.darrenchan.storm;

import backtype.storm.Config;
import backtype.storm.LocalCluster;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.tuple.Fields;

public class WordCountTopoloyMain {
    public static void main(String[] args) throws Exception {
        //1.准备一个TopologyBuilder
        TopologyBuilder builder = new TopologyBuilder();
        builder.setSpout("mySpout", new MySpout(), 1);
        builder.setBolt("mySplitBolt", new MySplitBolt(), 2).shuffleGrouping("mySpout");
        builder.setBolt("myCountBolt", new MyCountBolt(), 2).fieldsGrouping("mySplitBolt", new Fields("word"));

        //2.创建一个configuration，用来指定当前的topology需要的worker的数量
        Config config = new Config();
        config.setNumWorkers(4);

        //3.任务提交 两种模式————本地模式和集群模式
        //集群模式
        //StormSubmitter.submitTopology("myWordCount", config, builder.createTopology());
        //本地模式
        LocalCluster localCluster = new LocalCluster();
        localCluster.submitTopology("myWordCount", config, builder.createTopology());
    }
}

三种求wordcount方式 比较：

整体运行架构图：