storm的流分组

用的是ShuffleGrouping分组方式，并行度设置为3

这是跑下来的结果

参考代码StormTopologyShufferGrouping.java

package yehua.storm;

import java.util.Map;

import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.StormSubmitter;
import org.apache.storm.generated.AlreadyAliveException;
import org.apache.storm.generated.AuthorizationException;
import org.apache.storm.generated.InvalidTopologyException;
import org.apache.storm.spout.SpoutOutputCollector;
import org.apache.storm.task.OutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.TopologyBuilder;
import org.apache.storm.topology.base.BaseRichBolt;
import org.apache.storm.topology.base.BaseRichSpout;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Tuple;
import org.apache.storm.tuple.Values;
import org.apache.storm.utils.Utils;

/**
* shufferGrouping
* 没有特殊情况下，就使用这个分组方式，可以保证负载均衡，工作中最常用的
* @author yehua
*
*/

public class StormTopologyShufferGrouping {

public static class MySpout extends BaseRichSpout{
private Map conf;
private TopologyContext context;
private SpoutOutputCollector collector;
// @Override
public void open(Map conf, TopologyContext context,
SpoutOutputCollector collector) {
this.conf = conf;
this.collector = collector;
this.context = context;
}

int num = 0;
//@Override
public void nextTuple() {
num++;
System.out.println("spout:"+num);
this.collector.emit(new Values(num));
Utils.sleep(1000);
}

//@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("num"));
}

}

public static class MyBolt extends BaseRichBolt{

private Map stormConf;
private TopologyContext context;
private OutputCollector collector;
// @Override
public void prepare(Map stormConf, TopologyContext context,
OutputCollector collector) {
this.stormConf = stormConf;
this.context = context;
this.collector = collector;
}

//@Override
public void execute(Tuple input) {
Integer num = input.getIntegerByField("num");
System.err.println("thread:"+Thread.currentThread().getId()+",num="+num);
}

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

}

}

public static void main(String[] args) {
TopologyBuilder topologyBuilder = new TopologyBuilder();
String spout_id = MySpout.class.getSimpleName();
String bolt_id = MyBolt.class.getSimpleName();

topologyBuilder.setSpout(spout_id, new MySpout());
topologyBuilder.setBolt(bolt_id, new MyBolt(),3).shuffleGrouping(spout_id);

Config config = new Config();
String topology_name = StormTopologyShufferGrouping.class.getSimpleName();
if(args.length==0){
//在本地运行
LocalCluster localCluster = new LocalCluster();
localCluster.submitTopology(topology_name, config, topologyBuilder.createTopology());
}else{
//在集群运行
try {
StormSubmitter.submitTopology(topology_name, config, topologyBuilder.createTopology());
} catch (AlreadyAliveException e) {
e.printStackTrace();
} catch (InvalidTopologyException e) {
e.printStackTrace();
} catch (AuthorizationException e) {
e.printStackTrace();
}
}

}

}

用fieldsGrouping方法

按奇偶数分组（也就是按字段分组）

从跑出来的结果看出来，一个线程处理奇数的一个线程处理偶数的

参考代码StormTopologyFieldsGrouping.java

 package yehua.storm;

 import java.util.Map;

 import org.apache.storm.Config;
 import org.apache.storm.LocalCluster;
 import org.apache.storm.StormSubmitter;
 import org.apache.storm.generated.AlreadyAliveException;
 import org.apache.storm.generated.AuthorizationException;
 import org.apache.storm.generated.InvalidTopologyException;
 import org.apache.storm.spout.SpoutOutputCollector;
 import org.apache.storm.task.OutputCollector;
 import org.apache.storm.task.TopologyContext;
 import org.apache.storm.topology.OutputFieldsDeclarer;
 import org.apache.storm.topology.TopologyBuilder;
 import org.apache.storm.topology.base.BaseRichBolt;
 import org.apache.storm.topology.base.BaseRichSpout;
 import org.apache.storm.tuple.Fields;
 import org.apache.storm.tuple.Tuple;
 import org.apache.storm.tuple.Values;
 import org.apache.storm.utils.Utils;

 /**
  * FieldsGrouping
  * 字段分组
  * @author yehua
  *
  */

 public class StormTopologyFieldsGrouping {

     public static class MySpout extends BaseRichSpout{
         private Map conf;
         private TopologyContext context;
         private SpoutOutputCollector collector;
         //@Override
         public void open(Map conf, TopologyContext context,
                 SpoutOutputCollector collector) {
             this.conf = conf;
             this.collector = collector;
             this.context = context;
         }

         int num = 0;
         //@Override
         public void nextTuple() {
             num++;
             System.out.println("spout:"+num);
             this.collector.emit(new Values(num,num%2));
             Utils.sleep(1000);
         }

         //@Override
         public void declareOutputFields(OutputFieldsDeclarer declarer) {
             declarer.declare(new Fields("num","flag"));
         }

     }

     public static class MyBolt extends BaseRichBolt{

         private Map stormConf;
         private TopologyContext context;
         private OutputCollector collector;
         //@Override
         public void prepare(Map stormConf, TopologyContext context,
                 OutputCollector collector) {
             this.stormConf = stormConf;
             this.context = context;
             this.collector = collector;
         }

         //@Override
         public void execute(Tuple input) {
             Integer num = input.getIntegerByField("num");
             System.err.println("thread:"+Thread.currentThread().getId()+",num="+num);
         }

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

         }

     }

     public static void main(String[] args) {
         TopologyBuilder topologyBuilder = new TopologyBuilder();
         String spout_id = MySpout.class.getSimpleName();
         String bolt_id = MyBolt.class.getSimpleName();

         topologyBuilder.setSpout(spout_id, new MySpout());
         //注意：字段分组一定可以保证相同分组的数据进入同一个线程处理
         topologyBuilder.setBolt(bolt_id, new MyBolt(),2).fieldsGrouping(spout_id, new Fields("flag"));

         Config config = new Config();
         String topology_name = StormTopologyFieldsGrouping.class.getSimpleName();
         if(args.length==0){
             //在本地运行
             LocalCluster localCluster = new LocalCluster();
             localCluster.submitTopology(topology_name, config, topologyBuilder.createTopology());
         }else{
             //在集群运行
             try {
                 StormSubmitter.submitTopology(topology_name, config, topologyBuilder.createTopology());
             } catch (AlreadyAliveException e) {
                 e.printStackTrace();
             } catch (InvalidTopologyException e) {
                 e.printStackTrace();
             } catch (AuthorizationException e) {
                 e.printStackTrace();
             }
         }

     }

 }

这里补充一下，比如说有两类数据3个线程的时候

我们再看看运行结果，发现只有两个线程干活了

还有一种情况，只有一个线程的情况，还是两类数据

从运行结果看出来，所有话一个进程干完了

allGrouping方法

运行结果：spout每发一条数据三个进程都接收到了（基本没什么应用场景）

参考代码StormTopologyAllGrouping.java

 package yehua.storm;

 import java.util.Map;

 import org.apache.storm.Config;
 import org.apache.storm.LocalCluster;
 import org.apache.storm.StormSubmitter;
 import org.apache.storm.generated.AlreadyAliveException;
 import org.apache.storm.generated.AuthorizationException;
 import org.apache.storm.generated.InvalidTopologyException;
 import org.apache.storm.spout.SpoutOutputCollector;
 import org.apache.storm.task.OutputCollector;
 import org.apache.storm.task.TopologyContext;
 import org.apache.storm.topology.OutputFieldsDeclarer;
 import org.apache.storm.topology.TopologyBuilder;
 import org.apache.storm.topology.base.BaseRichBolt;
 import org.apache.storm.topology.base.BaseRichSpout;
 import org.apache.storm.tuple.Fields;
 import org.apache.storm.tuple.Tuple;
 import org.apache.storm.tuple.Values;
 import org.apache.storm.utils.Utils;

 /**
  * AllGrouping
  * 广播分组
  * @author yehua
  *
  */

 public class StormTopologyAllGrouping {

     public static class MySpout extends BaseRichSpout{
         private Map conf;
         private TopologyContext context;
         private SpoutOutputCollector collector;
         //@Override
         public void open(Map conf, TopologyContext context,
                 SpoutOutputCollector collector) {
             this.conf = conf;
             this.collector = collector;
             this.context = context;
         }

         int num = 0;
         //@Override
         public void nextTuple() {
             num++;
             System.out.println("spout:"+num);
             this.collector.emit(new Values(num));
             Utils.sleep(1000);
         }

         //@Override
         public void declareOutputFields(OutputFieldsDeclarer declarer) {
             declarer.declare(new Fields("num"));
         }

     }

     public static class MyBolt extends BaseRichBolt{

         private Map stormConf;
         private TopologyContext context;
         private OutputCollector collector;
         //@Override
         public void prepare(Map stormConf, TopologyContext context,
                 OutputCollector collector) {
             this.stormConf = stormConf;
             this.context = context;
             this.collector = collector;
         }

         //@Override
         public void execute(Tuple input) {
             Integer num = input.getIntegerByField("num");
             System.err.println("thread:"+Thread.currentThread().getId()+",num="+num);
         }

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

         }

     }

     public static void main(String[] args) {
         TopologyBuilder topologyBuilder = new TopologyBuilder();
         String spout_id = MySpout.class.getSimpleName();
         String bolt_id = MyBolt.class.getSimpleName();

         topologyBuilder.setSpout(spout_id, new MySpout());
         topologyBuilder.setBolt(bolt_id, new MyBolt(),3).allGrouping(spout_id);

         Config config = new Config();
         String topology_name = StormTopologyAllGrouping.class.getSimpleName();
         if(args.length==0){
             //在本地运行
             LocalCluster localCluster = new LocalCluster();
             localCluster.submitTopology(topology_name, config, topologyBuilder.createTopology());
         }else{
             //在集群运行
             try {
                 StormSubmitter.submitTopology(topology_name, config, topologyBuilder.createTopology());
             } catch (AlreadyAliveException e) {
                 e.printStackTrace();
             } catch (InvalidTopologyException e) {
                 e.printStackTrace();
             } catch (AuthorizationException e) {
                 e.printStackTrace();
             }
         }

     }

 }

LocalOrShufferGrouping方法

spout只会给同一个主机的线程发送数据（图中的线程1），也就是在同一个线程里会被发送数据，这样做的好处就是在同一个进程里发送数据效率搞，不用跨主机传输

但是当数据量太大的时候，线程1处理不了的时候就麻烦了，所以在实际工作中不建议这样做。

这里用的是3个线程（3个bolt），2个进程(2个worker)

从运行的结果我们可以看出来，只有一个线程在接收数据

还有一种情况，如果本地没有线程的时候，他就跟ShufferGrouping的效果一样的

参考代码StormTopologyLocalOrShufferGrouping.java

 package yehua.storm;

 import java.util.Map;

 import org.apache.storm.Config;
 import org.apache.storm.LocalCluster;
 import org.apache.storm.StormSubmitter;
 import org.apache.storm.generated.AlreadyAliveException;
 import org.apache.storm.generated.AuthorizationException;
 import org.apache.storm.generated.InvalidTopologyException;
 import org.apache.storm.spout.SpoutOutputCollector;
 import org.apache.storm.task.OutputCollector;
 import org.apache.storm.task.TopologyContext;
 import org.apache.storm.topology.OutputFieldsDeclarer;
 import org.apache.storm.topology.TopologyBuilder;
 import org.apache.storm.topology.base.BaseRichBolt;
 import org.apache.storm.topology.base.BaseRichSpout;
 import org.apache.storm.tuple.Fields;
 import org.apache.storm.tuple.Tuple;
 import org.apache.storm.tuple.Values;
 import org.apache.storm.utils.Utils;

 /**
  * LocalAllshufferGrouping
  * @author yehua
  *
  */

 public class StormTopologyLocalOrShufferGrouping {

     public static class MySpout extends BaseRichSpout{
         private Map conf;
         private TopologyContext context;
         private SpoutOutputCollector collector;
         //@Override
         public void open(Map conf, TopologyContext context,
                 SpoutOutputCollector collector) {
             this.conf = conf;
             this.collector = collector;
             this.context = context;
         }

         int num = 0;
         //@Override
         public void nextTuple() {
             num++;
             System.out.println("spout:"+num);
             this.collector.emit(new Values(num));
             Utils.sleep(1000);
         }

         //@Override
         public void declareOutputFields(OutputFieldsDeclarer declarer) {
             declarer.declare(new Fields("num"));
         }

     }

     public static class MyBolt extends BaseRichBolt{

         private Map stormConf;
         private TopologyContext context;
         private OutputCollector collector;
         //@Override
         public void prepare(Map stormConf, TopologyContext context,
                 OutputCollector collector) {
             this.stormConf = stormConf;
             this.context = context;
             this.collector = collector;
         }

         //@Override
         public void execute(Tuple input) {
             Integer num = input.getIntegerByField("num");
             System.err.println("thread:"+Thread.currentThread().getId()+",num="+num);
         }

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

         }

     }

     public static void main(String[] args) {
         TopologyBuilder topologyBuilder = new TopologyBuilder();
         String spout_id = MySpout.class.getSimpleName();
         String bolt_id = MyBolt.class.getSimpleName();

         topologyBuilder.setSpout(spout_id, new MySpout());
         topologyBuilder.setBolt(bolt_id, new MyBolt(),3).localOrShuffleGrouping(spout_id);

         Config config = new Config();
         config.setNumWorkers(2);
         String topology_name = StormTopologyLocalOrShufferGrouping.class.getSimpleName();
         if(args.length==0){
             //在本地运行
             LocalCluster localCluster = new LocalCluster();
             localCluster.submitTopology(topology_name, config, topologyBuilder.createTopology());
         }else{
             //在集群运行
             try {
                 StormSubmitter.submitTopology(topology_name, config, topologyBuilder.createTopology());
             } catch (AlreadyAliveException e) {
                 e.printStackTrace();
             } catch (InvalidTopologyException e) {
                 e.printStackTrace();
             } catch (AuthorizationException e) {
                 e.printStackTrace();
             }
         }

     }

 }