STORM整合kafka消费数据

参见我的git项目：https://github.com/jimingkang/StormTwo/tree/master/src/user_visit

项目文件：

1）package user_visit;
import cloudy.spout.OrderBaseSpout;
import com.ibf.base.spout.SourceSpout;
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.TopologyBuilder;
import backtype.storm.tuple.Fields;


public class UVTopo {


public static void main(String[] args) {
// TODO Auto-generated method stub


TopologyBuilder builder = new TopologyBuilder();


// builder.setSpout("spout", new SourceSpout(), 1);
builder.setSpout("spout", new OrderBaseSpout("log"), 3);
builder.setBolt("FmtLogBolt", new FmtLogBolt(), 4).shuffleGrouping("spout");
builder.setBolt("sumBolt", new DeepVisitBolt(),4).fieldsGrouping("FmtLogBolt", new Fields("date","session_id"));
builder.setBolt("UvSum", new UVSumBolt(), 1).shuffleGrouping("sumBolt") ;

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


if (args.length > 0) {
try {
conf.setNumWorkers(4);
StormSubmitter.submitTopology(args[0], conf, builder.createTopology());
} catch (Exception e) {
e.printStackTrace();
}
}else {
LocalCluster localCluster = new LocalCluster();
localCluster.submitTopology("mytopology", conf, builder.createTopology());
}
}
}

2）OrderBaseSpout文件，从kafka的消费者（OrderConsumer）里取数据出来

package cloudy.spout;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import kafka.consumers.OrderConsumer;
import backtype.storm.spout.SpoutOutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.IRichSpout;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Values;

public class OrderBaseSpout implements IRichSpout {

String topic = null;
public OrderBaseSpout(String topic)
{
this.topic = topic ;
}
/**
* 公共基类spout
*/
private static final long serialVersionUID = 1L;
Integer TaskId = null;
SpoutOutputCollector collector = null;
Queue queue = new ConcurrentLinkedQueue() ;
// String aaString = null;

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


declarer.declare(new Fields("order")) ;
}

@Override
public void nextTuple() {
// TODO Auto-generated method stub
// if (aaString != null) {
if (queue.size() > 0) {
String str = queue.poll() ;   //消费数据
//进行数据过滤
System.err.println("spout nextTuple:  str="+str);
collector.emit(new Values(str)) ;
}
}

@Override
public void open(Map conf, TopologyContext context,
SpoutOutputCollector collector) {
// TODO Auto-generated method stub
this.collector = collector ;
TaskId = context.getThisTaskId() ;
// Thread.currentThread().getId()
OrderConsumer consumer = new OrderConsumer(topic) ;
consumer.start() ;
queue = consumer.getQueue() ;   //重要，取得consumer里的消息队列数据
// aaString = consumer.getString();
}

}

3）DeepVisitBolt 文件，（安装sessionid统计访问量，即按照sessionid分组）

package user_visit;
import java.util.HashMap;
import java.util.Map;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.BasicOutputCollector;
import backtype.storm.topology.IBasicBolt;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Tuple;
import backtype.storm.tuple.Values;

public class DeepVisitBolt implements IBasicBolt{
private static final long serialVersionUID = 1L;
@Override
public void cleanup() {
// TODO Auto-generated method stub

}
Map counts = new HashMap();
@Override
public void execute(Tuple input, BasicOutputCollector collector) {
// TODO Auto-generated method stub
String dateString = input.getStringByField("date");
String session_id = input.getStringByField("session_id");
Integer count = counts.get(dateString+"_"+session_id);
if (count == null) {
count = 0;
}
count ++ ;

counts.put(dateString+"_"+session_id,count) ;  ////日期_sessionid, pv
collector.emit(new Values(dateString+"_"+session_id,count)) ;
}

}

4）UVSumBolt 文件，UV统计

package user_visit;


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


import tools.DateFmt;


import backtype.storm.task.TopologyContext;
import backtype.storm.topology.BasicOutputCollector;
import backtype.storm.topology.FailedException;
import backtype.storm.topology.IBasicBolt;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.tuple.Tuple;


public class UVSumBolt implements IBasicBolt {


/**
* 
*/
private static final long serialVersionUID = 1L;


Map counts = new HashMap();


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


}
long beginTime = System.currentTimeMillis() ;
long endTime = 0;
String cur_date = null;


@Override
public void execute(Tuple input, BasicOutputCollector collector) {
// TODO Auto-generated method stub


try {
endTime = System.currentTimeMillis() ;
long PV = 0;// 总数
long UV = 0; // 个数，去重后


String dateSession_id = input.getString(0);
Integer count = input.getInteger(1);
                       //    跨天的时候清空map
if (!dateSession_id.startsWith(cur_date)
&& DateFmt.parseDate(dateSession_id.split("_")[0]).after(
DateFmt.parseDate(cur_date))) {
cur_date = dateSession_id.split("_")[0];
counts.clear();
}


counts.put(dateSession_id, count);


if (endTime - beginTime >= 2000) {
// 获取word去重个数，遍历counts 的keySet，取count
Iterator i2 = counts.keySet().iterator();
while (i2.hasNext()) {
String key = i2.next();
if (key != null) {
if (key.startsWith(cur_date)) {
UV++;
PV += counts.get(key);
}
}
}
System.err.println("PV=" + PV + ";  UV="+ UV);
}
} catch (Exception e) {
throw new FailedException("SumBolt fail!");
}

}

}