storm trident的filter和函数

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<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));
        }
	}

	@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<String> 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);}
}