兩個例子(來自Storm實戰構建大資料實時計算)

fan_rockrock發表於2016-01-14

例子一：模擬網站計算使用者PV(頁面瀏覽量)

拓撲圖如下：

1、編寫Topology

public class TopoMain {

	public static void main(String[] args) throws AlreadyAliveException, InvalidTopologyException {
		TopologyBuilder builder=new TopologyBuilder();
		
		builder.setSpout("log-reader", new LogReader(),1);
		
		builder.setBolt("log-stat", new LogStat(), 2).fieldsGrouping("log-reader",new Fields("user"));
	   
		builder.setBolt("log-writer", new LogWriter(),1).shuffleGrouping("log-stat");
	    
	    Config config=new Config();
	    config.setNumWorkers(5);
	    StormSubmitter.submitTopology("log-topology", config, builder.createTopology());
	}

}

2、編寫spout

public class LogReader extends BaseRichSpout{

	private SpoutOutputCollector _collector;
	private Random _rand=new Random();
	private int _count=100;
	private String[] _users={"userA","userB","userC","userD","userE"};
	private String[] _urls={"url1","url2","url3","url4","url5"};
	
	@Override
	public void open(Map conf, TopologyContext context,
			SpoutOutputCollector collector) {
		_collector=collector;
	}

	@Override
	public void nextTuple() {
		try {
			Thread.sleep(1000);
			while(_count-->=0)
			{
				_collector.emit(new Values(System.currentTimeMillis(),_users[_rand.nextInt(5)],_urls[_rand.nextInt(5)]));
			}
			
		} catch (InterruptedException e) {
			e.printStackTrace();
		}
		
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
	
		declarer.declare(new Fields("time","user","url"));
	}

}

3、編寫bolt

public class LogStat extends BaseRichBolt{

	private OutputCollector _collector;//注意和SpoutOutputCollector區分
	private Map<String, Integer>_pvMap=new HashMap<String,Integer>();
	
	@Override
	public void prepare(Map stormConf, TopologyContext context,
			OutputCollector collector) {
		_collector=collector;
	}

	@Override
	public void execute(Tuple input) {
		
		String user=input.getStringByField("user");
		
		if(_pvMap.containsKey(user))
		{
			_pvMap.put(user, _pvMap.get(user)+1);
		}
		else {
			_pvMap.put(user, 1);
		}
		//把每個使用者的最新PV輸出到下一節點
		_collector.emit(new Values(user,_pvMap.get(user)));
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		declarer.declare(new Fields("user","pv"));
	}

}

public class LogWriter extends BaseRichBolt{

	private FileWriter writer=null;
	@Override
	public void prepare(Map stormConf, TopologyContext context,
			OutputCollector collector) {
		// TODO 自動生成的方法存根
		try {
			writer=new FileWriter("/"+this);
		} catch (IOException e) {
			// TODO 自動生成的 catch 塊
			e.printStackTrace();
		}
	}

	@Override
	public void execute(Tuple input) {
		try {
			writer.write(input.getStringByField("user")+" : "+input.getIntegerByField("pv"));
			writer.write("\n");
			writer.flush();
		} catch (IOException e) {
			e.printStackTrace();
		}
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
	}
}

對結果分析：

結果會輸出最新的PV，如userA: 1, userB:1, userA:2, userA:3.................

例子二、改進上面的例子,讓最終結果每個使用者只輸出一次頁面訪問量

1、topology

public class TopoMain {

	public static void main(String[] args) throws AlreadyAliveException, InvalidTopologyException {
		TopologyBuilder builder=new TopologyBuilder();
		
		builder.setSpout("log-reader", new LogReader(),1);
		
		//流log負責輸出日誌，採用欄位分組；流stop告訴下游輸出完畢，全域性廣播這個tuple
		builder.setBolt("log-stat", new LogStat(), 2).fieldsGrouping("log-reader", "log", new Fields("user")).allGrouping("log-reader", "stop");
	    
		builder.setBolt("log-writer", new LogWriter(),1).shuffleGrouping("log-stat");
	    
	    Config config=new Config();
	    config.setNumWorkers(5);
	    StormSubmitter.submitTopology("log-topology", config, builder.createTopology());
	}
}

2、spout

public class LogReader extends BaseRichSpout{

	private SpoutOutputCollector _collector;
	private Random _rand=new Random();
	private int _count=100;
	private String[] _users={"userA","userB","userC","userD","userE"};
	private String[] _urls={"url1","url2","url3","url4","url5"};
	
	@Override
	public void open(Map conf, TopologyContext context,
			SpoutOutputCollector collector) {
		_collector=collector;
	}

	@Override
	public void nextTuple() {
		try {
			Thread.sleep(1000);
			while(_count-->=0)
			{
				if(_count==0)
				{
					//傳送""發給下流bolt
					_collector.emit("stop", new Values(""));
				}
				_collector.emit("log",new Values(System.currentTimeMillis(),_users[_rand.nextInt(5)],_urls[_rand.nextInt(5)]));
			}
			
		} catch (InterruptedException e) {
			e.printStackTrace();
		}
		
	}
	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		declarer.declareStream("log",new Fields("time","user","url"));
		declarer.declareStream("stop", new Fields("flag"));
	}

}

3、bolt

public class LogStat extends BaseRichBolt{

	private OutputCollector _collector;//注意和SpoutOutputCollector區分
	private Map<String, Integer>_pvMap=new HashMap<String,Integer>();
	
	@Override
	public void prepare(Map stormConf, TopologyContext context,
			OutputCollector collector) {
		_collector=collector;
	}

	@Override
	public void execute(Tuple input) {
		String streamId=input.getSourceStreamId();
		if(streamId.equals("log"))
		{
			String user=input.getStringByField("user");
			if(_pvMap.containsKey(user))
			{
				_pvMap.put(user, _pvMap.get(user)+1);
			}
			else {
				_pvMap.put(user, 1);
			}
		}
		if(streamId.equals("stop"))
		{
			//從map取資料傳送
			Iterator<Entry<String,Integer>> it=_pvMap.entrySet().iterator();
			
			while(it.hasNext())
			{
				Entry<String,Integer> entry=it.next();
				_collector.emit(new Values(entry.getKey(),entry.getValue()));
			}
		}
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		declarer.declare(new Fields("user","pv"));
	}

}

public class LogWriter extends BaseRichBolt{

	private FileWriter writer=null;
	@Override
	public void prepare(Map stormConf, TopologyContext context,
			OutputCollector collector) {
		// TODO 自動生成的方法存根
		try {
			writer=new FileWriter("/"+this);
		} catch (IOException e) {
			// TODO 自動生成的 catch 塊
			e.printStackTrace();
		}
	}

	@Override
	public void execute(Tuple input) {
		try {
			writer.write(input.getStringByField("user")+" : "+input.getIntegerByField("pv"));
			writer.write("\n");
			writer.flush();
		} catch (IOException e) {
			e.printStackTrace();
		}
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
	}
}

例三、模擬一個簡化的電子商務網站來實時計算來源成交效果

1、topology

public class TopoMain {

	public static void main(String[] args) throws AlreadyAliveException, InvalidTopologyException {
		TopologyBuilder builder=new TopologyBuilder();
		
		builder.setSpout("log-vspout", new VSpout(),1);
		builder.setSpout("log-bspout", new BSpout(),1);
		
		//定義兩個流名稱，分別為visit和business
		builder.setBolt("log-merge", new LogMergeBolt(),2).fieldsGrouping("log-vspout",
				"visit",new Fields("user")).fieldsGrouping("log-bspout","business",new 
						Fields("user"));
		
		builder.setBolt("log-stat", new LogStatBolt(),2).fieldsGrouping("log-merge",new
				Fields("srcid"));
		
		builder.setBolt("log-writer", new LogWriter()).globalGrouping("log-stat");
		
		Config conf=new Config();
		
		//實時計算不需要可靠訊息，故關閉acker節省通訊資源
		conf.setNumAckers(0);
		//設定獨立java程式數，一般設定為同spout和bolt的總tasks數量相等或更多，使得每個task
		//都執行在獨立的Java程式中，以避免多個task集中在一個jvm裡執行產
		//生GC(垃圾回收機制)瓶頸
		conf.setNumWorkers(8);
		StormSubmitter.submitTopology("ElectronicCom_Top", conf, builder.createTopology());
	}

}

2、spout

public class BSpout extends BaseRichSpout{

	private SpoutOutputCollector _collector;
	private String[] _users={"userA","userB","userC","userD","userE"};
	private String[] _pays={"100","200","300","400","200"};
	private int count=5;
	@Override
	public void open(Map conf, TopologyContext context,
			SpoutOutputCollector collector) {
		_collector=collector;
	}

	@Override
	public void nextTuple() {
		for(int i=0;i<count;i++)
		{
			try {
				Thread.sleep(1500);//停頓時間長一些，使得流量日誌先於成交日誌到達下游的LogMergeBolt元件
				_collector.emit("business", new Values(System.currentTimeMillis(),_users[i],_pays[i]));
			} catch (InterruptedException e) {
				e.printStackTrace();
			}
			
		}
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		declarer.declareStream("business", new Fields("time","user","pay"));
	}
	
}

public class VSpout extends BaseRichSpout{

	private SpoutOutputCollector _collector;
	private String[] _users={"userA","userB","userC","userD","userE"};
	private String[] _srcid={"s1","s2","s3","s1","s1"};
	private int count=5;
	@Override
	public void open(Map conf, TopologyContext context,
			SpoutOutputCollector collector) {
		_collector=collector;
	}

	@Override
	public void nextTuple() {
		for(int i=0;i<count;i++)
		{
			try {
				Thread.sleep(1000);
				_collector.emit("visit", new Values(System.currentTimeMillis(),_users[i],_srcid[i]));
			} catch (InterruptedException e) {
				e.printStackTrace();
			}
			
		}
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		declarer.declareStream("visit", new Fields("time","user","srcid"));
	}
	
}

3、bolt

public class LogMergeBolt extends BaseRichBolt{

	private  OutputCollector _collector;
	//暫時儲存使用者的訪問日誌記錄
	private HashMap<String, String> srcMap;
	@Override
	public void prepare(Map stormConf, TopologyContext context,
			OutputCollector collector) {
		_collector=collector;
		if(srcMap==null)
		{
			srcMap=new HashMap<String, String>();
		}
	}

	@Override
	public void execute(Tuple input) {
		String streamID=input.getSourceStreamId();
		if(streamID.equals("visit"))
		{
			String user=input.getStringByField("user");
			String srcid=input.getStringByField("srcid");
			srcMap.put(user, srcid);
		}
		if(streamID.equals("business"))
		{
			String user=input.getStringByField("user");
			String pay=input.getStringByField("pay");
			String srcid=srcMap.get(user);
			
			if(srcid!=null)
			{
				_collector.emit(new Values(user,pay,srcid));
				srcMap.remove(user);
			}
			else {
				//一般只有成交日誌先於流量日誌才會發生
			}
		}
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		declarer.declare(new Fields("user","srcid","pay"));
	}

}

public class LogStatBolt extends BaseRichBolt{

	private  OutputCollector _collector;
	private HashMap<String, Long> srcpay;
	
	@Override
	public void prepare(Map stormConf, TopologyContext context,
			OutputCollector collector) {
		_collector=collector;
		if(srcpay==null)
		{
			srcpay=new HashMap<String, Long>();
		}
	}

	@Override
	public void execute(Tuple input) {
		String pay=input.getStringByField("pay");
		String srcid=input.getStringByField("srcid");
		
		if(srcpay.containsKey(srcid))
		{
			srcpay.put(srcid, srcpay.get(srcid)+Long.parseLong(pay.trim()));
		}
		else {
			srcpay.put(srcid, Long.parseLong(pay.trim()));
		}
		_collector.emit(new Values(srcid,srcpay.get(srcid)));
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		declarer.declare(new Fields("srcid","pay"));
	}
}

public class LogWriter extends BaseRichBolt{
	private HashMap<String, Long> counts=null;
	
	private FileWriter writer=null;
	@Override
	public void prepare(Map stormConf, TopologyContext context,
			OutputCollector collector) {
		// TODO 自動生成的方法存根
		this.counts=new HashMap<String, Long>();
		try {
			writer=new FileWriter("/"+this);
		} catch (IOException e) {
			// TODO 自動生成的 catch 塊
			e.printStackTrace();
		}
	}

	@Override
	public void execute(Tuple input) {
		// TODO 自動生成的方法存根
		String srcid=input.getStringByField("srcid");
		Long pay=input.getLongByField("pay");
		counts.put(srcid, pay);
	}
	
	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		// TODO 自動生成的方法存根
		
	}
	@Override
	public void cleanup() {
		// TODO 自動生成的方法存根
		Iterator<Entry<String,Long>> it=counts.entrySet().iterator();
		
		while(it.hasNext())
		{
			Entry<String,Long> entry=it.next();
			try {
				writer.write(entry.getKey()+" : "+entry.getValue());
				writer.write("\n");
				writer.flush();
			} catch (IOException e) {
				e.printStackTrace();
			}
		}
	}

}

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