Trident 教程

什么是Trident?

1、基于Storm用于实时计算的高级抽象源语；

有何优势？

1、支持高吞吐(每秒百万级别)，有状态的流处理；

2、提供低延时的分布式查询功能；

3、Trident具有连接、聚合、分组、自定义行为和过滤的功能；

4、基于内存或数据库做有状态的增量式的计算；

5、能够保证每个Tuple严格只被执行一次

6、构建Topology简单；

例子：统计各个单词出现的次数

Spout

用于接收外部数据，转化为Tuple；

package trident.test.demo2;

import backtype.storm.Config;
import backtype.storm.task.TopologyContext;
import backtype.storm.tuple.Fields;

import backtype.storm.tuple.Values;
import storm.trident.operation.TridentCollector;
import storm.trident.spout.IBatchSpout;

import java.util.Arrays;
import java.util.List;
import java.util.Map;

/**
 * User: jianwl
 * Date: 2016/2/24
 * Time: 16:12
 */
public class TridentSpoutDemo implements IBatchSpout{
    private static final List<String> sentences = Arrays.asList(
            "the cow jumped over the moon",
            "the man went to the store and bought some candy",
            "four score and seven years ago");

    private boolean complete =  false;

    @Override
    public void open(Map map, TopologyContext topologyContext) {
        // nothing do
    }

    @Override
    public void emitBatch(long l, TridentCollector tridentCollector) {
        if(complete){
            return;
        }
        for(int i=0; i< sentences.size() ; i++){
            tridentCollector.emit(new Values(sentences.get(i)));
        }
        complete = true;
    }

    @Override
    public void ack(long l) {
        // nothing do
    }

    @Override
    public void close() {
        // nothing do
    }

    @Override
    public Map getComponentConfiguration() {
        return new Config();
    }

    @Override
    public Fields getOutputFields() {
        return new Fields("sentence");
    }
}

创建Topology

public class TridentTopo {
    public static void main(String[] args) {
        TridentTopology topology = new TridentTopology();
        topology.newStream("spout", new TridentSpoutDemo())
                .each(new Fields("sentence"), new Split(), new Fields("word"))
                .each(new Fields("word"), new PrintFunction(),new Fields("field","count"));

        Config config = new Config();
        LocalCluster localCluster = new LocalCluster();
        localCluster.submitTopology("trident-demo2", config, topology.build());
    }
}

public class Split extends BaseFunction {    public Split() {    }

    public void execute(TridentTuple tuple, TridentCollector collector) {        String[] arr$ = tuple.getString(0).split(" ");        int len$ = arr$.length;

        for(int i$ = 0; i$ < len$; ++i$) {            String word = arr$[i$];            if(word.length() > 0) {                collector.emit(new Values(new Object[]{word}));            }        }    }}

public class PrintFunction extends BaseFunction {    private final static Map<String,Integer> map = new HashMap<>();    @Override    public void execute(TridentTuple tridentTuple, TridentCollector tridentCollector) {        String input = tridentTuple.getString(0);        if(!map.containsKey(input)){            map.put(input,1);        }else{            int count = map.get(input) + 1;            map.put(input,count);        }        System.out.println("result ==> "+map);    }}