网站访问量实时统计

一、需求：统计网站访问量（实时统计）

技术选型：特点（数据量大、做计算、实时）

实时流式计算框架：storm

1)spout
数据源，接入数据源
本地文件

2)splitbolt
业务逻辑处理
切分数据
拿到网址

3)bolt
累加次数求和

1、PvCountSpout类

package com.demo.pvcount;

import java.io.BufferedReader;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.Map;

import org.apache.storm.spout.SpoutOutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.IRichSpout;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Values;

public class PvCountSpout implements IRichSpout{

    private SpoutOutputCollector collector;
    private BufferedReader br;
    private String line;
    
    @Override
    public void nextTuple() {
        //发送读取的数据的每一行
        try {
            while((line = br.readLine())!= null) {
                //发送数据到splitbolt
                collector.emit(new Values(line));
                //设置延迟
                Thread.sleep(500);
            }
        } catch (IOException e) {
            e.printStackTrace();
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
    }

    @Override
    public void open(Map arg0, TopologyContext arg1, SpoutOutputCollector collector) {
        this.collector = collector;
        
        //读取文件
        try {
            br = new BufferedReader(new InputStreamReader(new FileInputStream("e:/weblog.log")));
        } catch (FileNotFoundException e) {
            e.printStackTrace();
        }
    }

    @Override
    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        //声明
        declarer.declare(new Fields("logs"));
    }
    
    //处理tuple成功 回调的方法
    @Override
    public void ack(Object arg0) {
    }

    //如果spout在失效的模式中 调用此方法来激活
    @Override
    public void activate() {
    }

    //在spout程序关闭前执行 不能保证一定被执行 kill -9 是不执行 storm kill 是不执行
    @Override
    public void close() {
    }

    //在spout失效期间，nextTuple不会被调用
    @Override
    public void deactivate() {
    }

    //处理tuple失败回调的方法
    @Override
    public void fail(Object arg0) {
    }

    //配置
    @Override
    public Map getComponentConfiguration() {
        return null;
    }
}

2、PvCountSplitBolt类

package com.demo.pvcount;

import java.util.Map;

import org.apache.storm.task.OutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.IRichBolt;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Tuple;
import org.apache.storm.tuple.Values;

public class PvCountSplitBolt implements IRichBolt{

    private OutputCollector collector;
    
    //一个bolt即将关闭时调用 不能保证一定被调用 资源清理
    @Override
    public void cleanup() {
    }

    private int pvnum = 0;
    //业务逻辑 分布式 集群 并发度 线程 （接收tuple然后进行处理）
    @Override
    public void execute(Tuple input) {
        //1.获取数据
        String line = input.getStringByField("logs");
        
        //2.切分数据
        String[] fields = line.split("\t");
        String session_id = fields[1];
        
        //3.局部累加
        if (session_id != null) {
            //累加
            pvnum++;
            //输出
            collector.emit(new Values(Thread.currentThread().getId(),pvnum));
        }
    }

    //初始化调用
    @Override
    public void prepare(Map arg0, TopologyContext arg1, OutputCollector collector) {
        this.collector = collector;
    }

    //声明
    @Override
    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        //声明输出
        declarer.declare(new Fields("threadid","pvnum"));
    }

    //配置
    @Override
    public Map getComponentConfiguration() {
        return null;
    }
}

3、PvCountSumBolt类

package com.demo.pvcount;

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

import org.apache.storm.task.OutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.IRichBolt;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.tuple.Tuple;

public class PvCountSumBolt implements IRichBolt{

    private HashMap hashMap = new HashMap<>();
    
    @Override
    public void cleanup() {
    }

    //全局累加求和 业务逻辑
    @Override
    public void execute(Tuple input) {
        //1.获取数据
        Long threadid = input.getLongByField("threadid");
        Integer pvnum = input.getIntegerByField("pvnum");
        
        //2.创建集合 存储(threadid,pvnum) 15 20
        hashMap.put(threadid, pvnum);
        
        //3.累加求和(拿到集合中所有value值)
        Iterator iterator = hashMap.values().iterator();
        
        //4.清空之前的数据
        int sumnum = 0;
        while (iterator.hasNext()) {
            sumnum += iterator.next();
        }
        
        System.err.println(Thread.currentThread().getName() + "总访问量为->" + sumnum);
    }

    @Override
    public void prepare(Map arg0, TopologyContext arg1, OutputCollector arg2) {
    }

    @Override
    public void declareOutputFields(OutputFieldsDeclarer arg0) {
    }

    @Override
    public Map getComponentConfiguration() {
        return null;
    }
}

4、PvCountDriver类

package com.demo.pvcount;

import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.topology.TopologyBuilder;
import org.apache.storm.tuple.Fields;

public class PvCountDriver {
    public static void main(String[] args) {
        // 1.hadoop->Job storm->topology 创建拓扑
        TopologyBuilder builder = new TopologyBuilder();

        // 2.指定设置
        builder.setSpout("PvCountSpout", new PvCountSpout(), 1);
        builder.setBolt("PvCountSplitBolt", new PvCountSplitBolt(), 6).setNumTasks(4)
                .fieldsGrouping("PvCountSpout", new Fields("logs"));
        builder.setBolt("PvCountSumBolt", new PvCountSumBolt(), 1).fieldsGrouping("PvCountSplitBolt", new Fields("pvnum"));

        // 3.创建配置信息
        Config conf = new Config();
        conf.setNumWorkers(2);

        // 4.提交任务
        LocalCluster localCluster = new LocalCluster();
        localCluster.submitTopology("pvcounttopology", conf, builder.createTopology());
    }
}

5、PvCountDriver_Shuffle类

package com.demo.pvcount;

import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.topology.TopologyBuilder;

public class PvCountDriver_Shuffle {
    public static void main(String[] args) {
        // 1.hadoop->Job storm->topology 创建拓扑
        TopologyBuilder builder = new TopologyBuilder();

        // 2.指定设置
        builder.setSpout("PvCountSpout", new PvCountSpout(), 1);
        builder.setBolt("PvCountSplitBolt", new PvCountSplitBolt(), 6).setNumTasks(4)
                .shuffleGrouping("PvCountSpout");
        builder.setBolt("PvCountSumBolt", new PvCountSumBolt(), 2).shuffleGrouping("PvCountSplitBolt");

        // 3.创建配置信息
        Config conf = new Config();
        conf.setNumWorkers(2);

        // 4.提交任务
        LocalCluster localCluster = new LocalCluster();
        localCluster.submitTopology("pvcounttopology", conf, builder.createTopology());
    }
}

6、weblog.log文件

storm.apache.org    EEH6Y21245GHI899OFG4V9U567    2018-08-07 10:40:49
storm.apache.org    VVVYH6Y4V4SFXZWWEQRQWEQ    2018-08-07 08:40:50
storm.apache.org    BBYH61456DEL89RG5VV9UYU7    2018-08-07 10:40:49
storm.apache.org    EEH6Y21245GHI899OFG4V9U567    2018-08-07 09:40:49
storm.apache.org    CCYH6Y4V4SCVXTG6DPB4VH9U123    2018-08-07 10:40:49
storm.apache.org    CCYH6Y4V4SCVXTG6DPB4VH9U123    2018-08-07 12:40:49
storm.apache.org    VVVYH6Y4V4SFXZWWEQRQWEQ    2018-08-07 08:40:52
storm.apache.org    CCYH6Y4V4SCVXTG6DPB4VH9U123    2018-08-07 08:40:50
storm.apache.org    VVVYH6Y4V4SFXZWWEQRQWEQ    2018-08-07 09:40:49...
...
...
storm.apache.org    EEH6Y21245GHI899OFG4V9U567    2018-08-07 08:40:53
storm.apache.org    BBYH61456DEL89RG5VV9UYU7    2018-08-07 12:40:49
storm.apache.org    EEH6Y21245GHI899OFG4V9U567    2018-08-07 08:40:51
storm.apache.org    EEH6Y21245GHI899OFG4V9U567    2018-08-07 10:40:49
storm.apache.org    HUNTERH6YCGFJYERTT834R52FDXV9U34    2018-08-07 08:40:53
storm.apache.org    BBYH61456DEL89RG5VV9UYU7    2018-08-07 08:40:50
storm.apache.org    EEH6Y21245GHI899OFG4V9U567    2018-08-07 08:40:53
storm.apache.org    VVVYH6Y4V4SFXZWWEQRQWEQ    2018-08-07 10:40:49

7、运行（4）中的main方法，控制台显示如下图：

此时在weblog.log文件中增加几条数据，则总访问量相应增加几条。

至此，简单实现了网站访问量实时统计。

 

转载于:https://www.cnblogs.com/areyouready/p/10188300.html