目的：通过kafka输出的信息进行过滤，添加指定的字段后，进行打印

SentenceSpout:

package Trident;import java.util.HashMap;import java.util.List;import java.util.Map;import java.util.Properties;import org.apache.storm.spout.SpoutOutputCollector;import org.apache.storm.task.TopologyContext;import org.apache.storm.topology.OutputFieldsDeclarer;import org.apache.storm.topology.base.BaseRichSpout;import org.apache.storm.tuple.Fields;import org.apache.storm.tuple.Values;import kafka.consumer.Consumer;import kafka.consumer.ConsumerConfig;import kafka.consumer.ConsumerIterator;import kafka.consumer.KafkaStream;import kafka.javaapi.consumer.ConsumerConnector;import kafka.serializer.StringDecoder;import kafka.utils.VerifiableProperties;/** * 从kafka获取数据 spout发射 * @author BFD-593 * */public class SentenceSpout extends BaseRichSpout{	//TODO	private SpoutOutputCollector collector;	private ConsumerConnector consumer;	private int index=0;	@Override	public void nextTuple() {		Map
     
       topicCountMap = new HashMap
      
       ();          topicCountMap.put("helloworld", new Integer(1));            StringDecoder keyDecoder = new StringDecoder(new VerifiableProperties());          StringDecoder valueDecoder = new StringDecoder(new VerifiableProperties());          Map
       
        >> consumerMap =           consumer.createMessageStreams(topicCountMap,keyDecoder,valueDecoder);          KafkaStream
        
          stream = consumerMap.get("helloworld").get(0);          ConsumerIterator
         
           it = stream.iterator();                   int messageCount = 0;          while (it.hasNext()){          	String string = it.next().message().toString()+" 1"+" 2";        	String name = string.split(" ")[0];        	String value = string.split(" ")[1]==null?"":string.split(" ")[1];        	String value2= string.split(" ")[2]==null?"":string.split(" ")[2];            this.collector.emit(new Values(name,value,value2));        }  	}	@Override	public void open(Map map, TopologyContext context, SpoutOutputCollector collector) {		this.collector =  collector;		Properties props = new Properties();		 // zookeeper 配置          props.put("zookeeper.connect", "192.168.170.185:2181");            // 消费者所在组          props.put("group.id", "testgroup");            // zk连接超时          props.put("zookeeper.session.timeout.ms", "4000");          props.put("zookeeper.sync.time.ms", "200");          props.put("auto.commit.interval.ms", "1000");          props.put("auto.offset.reset", "smallest");                    // 序列化类          props.put("serializer.class", "kafka.serializer.StringEncoder");            ConsumerConfig config = new ConsumerConfig(props);  		this.consumer = Consumer.createJavaConsumerConnector(config);	}	@Override	public void declareOutputFields(OutputFieldsDeclarer declarer) {		Fields field = new Fields("name", "sentence","sentence2");		declarer.declare(field);	}}
         
        
       
      
     

FunctionBolt:

package Trident;		import org.apache.storm.trident.operation.BaseFunction;	import org.apache.storm.trident.operation.TridentCollector;	import org.apache.storm.trident.tuple.TridentTuple;	import org.apache.storm.tuple.Values;	/**	 * trident的函数操作：将spout发射的数据，添加一个fileds   gender的	 * 它不会替换掉原来的tuple	 * @author BFD-593	 *	 */	public class FunctionBolt extends BaseFunction{				@Override		public void execute(TridentTuple tuple, TridentCollector collector) {			String str = tuple.getStringByField("name");			if(str.equals("a")){				collector.emit(new Values("男"));			}else{				collector.emit(new Values("女"));			}		}		}

MyFilter:

 

package Trident;import java.util.Map;import org.apache.storm.trident.operation.BaseFilter;import org.apache.storm.trident.operation.TridentOperationContext;import org.apache.storm.trident.tuple.TridentTuple;/** * trident的过滤操作：将spout的发送的tuple，过滤掉fields0是a并且fields1是b的tuple * @author BFD-593 * */public class MyFilter extends BaseFilter{	private TridentOperationContext context;		@Override	public void prepare(Map conf, TridentOperationContext context) {		super.prepare(conf, context);		this.context = context;	}	@Override	public boolean isKeep(TridentTuple tuple) {		String name = tuple.getStringByField("name");		String value = tuple.getStringByField("sentence");		return (!"a".equals(name))||(!"b".equals(value));	}}

PrintFilter:

package Trident;import java.util.Iterator;import java.util.Map;import org.apache.storm.trident.operation.BaseFilter;import org.apache.storm.trident.operation.TridentOperationContext;import org.apache.storm.trident.tuple.TridentTuple;import org.apache.storm.tuple.Fields;/** * 过滤打印所有的fields以及值  * @author BFD-593 * */public class PrintFilter extends BaseFilter{	private TridentOperationContext context = null;		@Override	public void prepare(Map conf, TridentOperationContext context) {		super.prepare(conf, context);		this.context = context;	}		@Override	public boolean isKeep(TridentTuple tuple) {		Fields fields = tuple.getFields();		Iterator
     
       iterator = fields.iterator();		String str = "";		while(iterator.hasNext()){			String next = iterator.next();			Object value = tuple.getValueByField(next);			str = str + next +":"+ value+",";		}		System.out.println(str);		return true;	}}
     

TopologyTrident:

package Trident;import org.apache.kafka.common.utils.Utils;import org.apache.storm.Config;import org.apache.storm.LocalCluster;import org.apache.storm.trident.TridentTopology;import org.apache.storm.trident.operation.builtin.Count;import org.apache.storm.tuple.Fields;/** * trident的过滤操作、函数操作、分驱聚合操作 * @author BFD-593 * */public class TopologyTrident {	public static void main(String[] args) {		SentenceSpout spout = new SentenceSpout();				TridentTopology topology = new TridentTopology();		topology.newStream("spout", spout).each(new Fields("name"),new FunctionBolt(),new Fields("gender")).each(new Fields("name","sentence"), new MyFilter())		.each(new Fields("name","sentence","sentence2","gender"), new PrintFilter());				Config conf = new Config();				LocalCluster clu = new LocalCluster();		clu.submitTopology("mytopology", conf, topology.build());				Utils.sleep(100000000);		clu.killTopology("mytopology");		clu.shutdown();			}}

　　

 

 

package Trident;

import java.util.HashMap;import java.util.List;import java.util.Map;import java.util.Properties;

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

import kafka.consumer.Consumer;import kafka.consumer.ConsumerConfig;import kafka.consumer.ConsumerIterator;import kafka.consumer.KafkaStream;import kafka.javaapi.consumer.ConsumerConnector;import kafka.serializer.StringDecoder;import kafka.utils.VerifiableProperties;

/** * 从kafka获取数据 spout发射 * @author BFD-593 * */public class SentenceSpout extends BaseRichSpout{//TODOprivate SpoutOutputCollector collector;private ConsumerConnector consumer;private int index=0;@Overridepublic void nextTuple() {Map<String, Integer> topicCountMap = new HashMap<String, Integer>();          topicCountMap.put("helloworld", new Integer(1));            StringDecoder keyDecoder = new StringDecoder(new VerifiableProperties());          StringDecoder valueDecoder = new StringDecoder(new VerifiableProperties());          Map<String, List<KafkaStream<String, String>>> consumerMap =           consumer.createMessageStreams(topicCountMap,keyDecoder,valueDecoder);          KafkaStream<String, String> stream = consumerMap.get("helloworld").get(0);          ConsumerIterator<String, String> it = stream.iterator();                   int messageCount = 0;          while (it.hasNext()){          String string = it.next().message().toString()+" 1"+" 2";        String name = string.split(" ")[0];        String value = string.split(" ")[1]==null?"":string.split(" ")[1];        String value2= string.split(" ")[2]==null?"":string.split(" ")[2];            this.collector.emit(new Values(name,value,value2));        }  }

@Overridepublic void open(Map map, TopologyContext context, SpoutOutputCollector collector) {this.collector =  collector;Properties props = new Properties(); // zookeeper 配置          props.put("zookeeper.connect", "192.168.170.185:2181");            // 消费者所在组          props.put("group.id", "testgroup");            // zk连接超时          props.put("zookeeper.session.timeout.ms", "4000");          props.put("zookeeper.sync.time.ms", "200");          props.put("auto.commit.interval.ms", "1000");          props.put("auto.offset.reset", "smallest");                    // 序列化类          props.put("serializer.class", "kafka.serializer.StringEncoder");            ConsumerConfig config = new ConsumerConfig(props);  this.consumer = Consumer.createJavaConsumerConnector(config);}

@Overridepublic void declareOutputFields(OutputFieldsDeclarer declarer) {Fields field = new Fields("name", "sentence","sentence2");declarer.declare(field);}

}