Storm 编程实例一：生成及接收数据+实例二：wordcount

实例一：生成及接收数据

程序结构如下

DataSpout

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 java.util.Map;
import java.util.Random;

/*
* 定义一个数据源
* */
public class DataSpout extends BaseRichSpout
{
private SpoutOutputCollector collector;
private static String datas[]=new String[]{
"hello","world","java","hadoop"
};

@Override
public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) {

this.collector=collector;

}

/*
* 循环调用
* */
@Override
public void nextTuple() {

//生成此数据
String data=datas[new Random().nextInt(datas.length)];
//发送数据到下游组件
collector.emit(new Values(data));

}

/**
* 此方法是对发送数据进行声明
* */
@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {

declarer.declare(new Fields("word"));

}
}

DataBolt

import org.apache.storm.task.OutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseRichBolt;
import org.apache.storm.tuple.Tuple;

import java.util.Map;

public class DataBolt extends BaseRichBolt
{

@Override
public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {

}

@Override
public void execute(Tuple input) {

String word=input.getStringByField("word");
System.out.println("DataBolt="+word);

}

@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {

}
}

TopologiesDataMainApp

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.topology.TopologyBuilder;

public class TopologiesDataMainApp {

public static void main(String[] args) throws InvalidTopologyException, AuthorizationException, AlreadyAliveException {

TopologyBuilder builder=new TopologyBuilder();
builder.setSpout("dataSpout", new DataSpout());
builder.setBolt("dataBolt",new DataBolt()).shuffleGrouping("dataSpout");

//部署有两种方式
//1、一种是本地部署

//2、二种是集群部署
Config config = new Config();
if(args !=null && args.length >0){
//集群部署
StormSubmitter.submitTopology(args[0],config,builder.createTopology());
}else{
//本地部署
LocalCluster cluster = new LocalCluster();
//提交拓扑对象
cluster.submitTopology("TopologiesDataMainApp",config,builder.createTopology());
}

}
}

运行如下：

storm jar stormDemo-1.0-SNAPSHOT.jar com.gec.demo.TopologiestDataMainApp TopologiestDataMainApp

查看DataBolt的接收到的数据

实例二：wordcount

DataSpout

import java.util.Map;
import java.util.Random;

/*
* 不断产生行数据
* */
public class DataSpout extends BaseRichSpout
{
private SpoutOutputCollector collector;
private String []datas=new String[]{
"hadoop,yarn,mapreduce",
"yarn,yarn,hadoop",
"mapreduce,yarn,mapreduce",
"hadoop,yarn,mapreduce",
"mapreduce,hadoop,mapreduce",
"yarn,yarn,mapreduce"
};

@Override
public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) {

this.collector=collector;
}

@Override
public void nextTuple() {

try {
Thread.sleep(1000);
} catch (InterruptedException e) {
e.printStackTrace();
}
this.collector.emit(new Values(datas[new Random().nextInt(datas.length)]));

}

@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {

declarer.declare(new Fields("lineData"));

}
}

SplitBolt

import java.util.Map;

public class SplitBolt extends BaseRichBolt
{
private OutputCollector collector;

@Override
public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {

this.collector=collector;

}

@Override
public void execute(Tuple input) {

String lineData=input.getStringByField("lineData");
String words[]=lineData.split(",");

for (String word : words) {
//将word和1两个数据值发给下游组件
this.collector.emit(new Values(word,1));
}

}

@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
//要对数据作命名
declarer.declare(new Fields("word","value"));
}
}

CountBolt

import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

public class CountBolt extends BaseRichBolt
{

//private HashMap<String,Integer> map=new HashMap<>();
private static ConcurrentHashMap<String,Integer> map=new ConcurrentHashMap<>();

@Override
public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {

}

@Override
public void execute(Tuple input) {

//获取单词
String word=input.getStringByField("word");
//获取值
int value=input.getIntegerByField("value");

if(map.containsKey(word))
{
map.put(word,map.get(word)+value);
}else{
map.put(word,value);
}

System.out.println(map);

}

@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {

}
}

TopologiesWcApp

public class TopologiesWcApp {

public static void main(String[] args) throws InvalidTopologyException, AuthorizationException, AlreadyAliveException {

TopologyBuilder builder=new TopologyBuilder();
//运行dataSpout组件，需要3个线程运行
builder.setSpout("dataSpout", new DataSpout(),3);
//设置splitBolt数据来自上游组件dataSpout
builder.setBolt("splitBolt",new SplitBolt(),3).shuffleGrouping("dataSpout");
//设置countBolt数据来自上游组件splitBolt
builder.setBolt("countBolt",new CountBolt(),3).shuffleGrouping("splitBolt");

//部署有两种方式
//1、一种是本地部署

//2、二种是集群部署
Config config = new Config();
//配置进程数
config.setNumWorkers(3);
if(args !=null && args.length >0){
//集群部署
StormSubmitter.submitTopology(args[0],config,builder.createTopology());
}else{
//本地部署
LocalCluster cluster = new LocalCluster();
//提交拓扑对象
cluster.submitTopology("TopologiesWcApp",config,builder.createTopology());
}

}
}

posted @ 2019-05-19 23:58 Transkai 阅读(561) 评论(0) 编辑收藏举报

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Storm 编程实例一：生成及接收数据+实例二：wordcount

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