strom：实时的WordCount

集采单词

package wordcount;

import java.io.File;
import java.io.IOException;
import java.util.Collection;
import java.util.List;
import java.util.Map;

import org.apache.commons.io.FileUtils;

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;

/**
* @ClassName: DataSourceSpout
* @Description: TODO
* @author cheng
* @date 2017年12月12日 下午2:06:32
*收集数据源
*/
public class DataSourceSpout extends BaseRichSpout{
    private Map conf;
    private TopologyContext context;
    private SpoutOutputCollector collector;

    /* (non-Javadoc)
     * 运行时调用一次，初始化
     * conf获取配置参数，
     * collector：spout收集数据发送给blot
     */
    public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) {
        this.collector=collector;
        this.conf=conf;
        this.context=context;
    }
//    读文件
    public void nextTuple() {
//        参数：目录位置，文件后缀，是否递归
        Collection<File> files = FileUtils.listFiles(new File("F:/安装/java工程/StormTest/data"),
                new String[]{"txt"},true);
//        Collection<File> files = FileUtils.listFiles(new File("/home/neworigin/Desktop/data"),
//                new String[]{"txt"},true);
//        遍历文件内容
        for(File file:files)
        {
            //按行来读
            try {
//                将读取的每行存放在List中
                List<String> lines = FileUtils.readLines(file);
//                把一行数据发送出去
                for(String line:lines)
                {
                    this.collector.emit(new Values(line));
                }
                Thread.sleep(1000);
//                防止文件被重复读，将读过的文件改名
                FileUtils.moveFile(file, new File(file.getAbsolutePath()+System.currentTimeMillis()));
            } catch (IOException e) {
                e.printStackTrace();
            } catch (InterruptedException e) {
                // TODO Auto-generated catch block
                e.printStackTrace();
            }
        }
    }
//声明输出的内容，告知blot，spout输出的内容
    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        declarer.declare(new Fields("line"));//通过字段名称来获取字段内容
    }
    @Override
    public void close() {
        System.out.println("read close");
    }

}

处理单词（按空格拆分）

package wordcount;

import java.util.Map;

import backtype.storm.spout.SpoutOutputCollector;
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;

/**
* @ClassName: SplitBolt
* @Description: TODO
* @author cheng
* @date 2017年12月12日 下午2:28:25
*切分采集的数据
*/
public class SplitBolt extends BaseRichBolt{
    private Map conf;
    private TopologyContext context;
    private OutputCollector collector;
//调用一次，进行初始化
    public void prepare(Map conf, TopologyContext context, OutputCollector collector) {
        this.collector=collector;
        this.context=context;
        this.conf=conf;
    }
//    处理数据
    public void execute(Tuple input) {
//        根据字段获取每一行数据
        String line=input.getStringByField("line");
        String[] words = line.split(" ");
        for(String word:words )
        {
            //传递给下一个bolt
            this.collector.emit(new Values(word));
        }
    }
//声明输出的内容，告知下一个bolt这里输出的是什么
//    如果是最后一个bolt就不用声明字段名称
    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        declarer.declare(new Fields("words"));
    }

}

对单词计数

package wordcount;

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 CountBolt extends BaseRichBolt{
    private Map conf;
    private TopologyContext context;
    private OutputCollector collector;
//调用一次，进行初始化
    public void prepare(Map conf, TopologyContext context, OutputCollector collector) {
        this.collector=collector;
        this.context=context;
        this.conf=conf;
    }
    int testnum=0;
    int i=0;
HashMap<String,Integer> hashmap=new HashMap<String,Integer>();
    public void execute(Tuple input) {
//        获取每一个单词
        String word = input.getStringByField("words");
//        对所有单词进行汇总
        Integer num = hashmap.get(word);//根据key来获取value
        if(num==null)
        {
            num=0;
        }
        num++;
        hashmap.put(word, num);
//        System.out.println("---------"+testnum++);
//        遍历map，输出键值对
        System.out.println("执行countBolt的exec"+i++);
        for(Map.Entry<String, Integer> entry:hashmap.entrySet())
        {
            System.out.println("word="+entry.getKey()+":number="+entry.getValue()+"---------"+testnum++);

        }

    }
//最后一个bolt，不用声明
    public void declareOutputFields(OutputFieldsDeclarer declarer) {

    }

}

联合运行

package wordcount;

import backtype.storm.Config;
import backtype.storm.LocalCluster;
import backtype.storm.StormSubmitter;
import backtype.storm.generated.AlreadyAliveException;
import backtype.storm.generated.InvalidTopologyException;
import backtype.storm.topology.BoltDeclarer;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.tuple.Fields;
import clojure.main;

public class WordCount {
    public static void main(String[] args) throws InterruptedException, AlreadyAliveException, InvalidTopologyException {
        TopologyBuilder builder=new TopologyBuilder();
        builder.setSpout("spout_id", new DataSourceSpout(),4);//默认只有一个，给个4设置并发度（多线程执行），还以在最后面设置numtask（task的数量，默认每个executor执行已task）
        builder.setBolt("bolt_1", new SplitBolt()).shuffleGrouping("spout_id");//因为有多个bolt需要指定上一个步骤
        BoltDeclarer declarer = builder.setBolt("bolt_2", new CountBolt()).fieldsGrouping("bolt_1",new Fields("words"));//指定上一个bolt并按words相同的bolt分到同一个task
//        设置在本地运行
        LocalCluster cluster = new LocalCluster();
        Config config = new Config();
        config.setNumWorkers(2);//设置worker的数量
        cluster.submitTopology("topology", config, builder.createTopology());
    }
}