storm实战入门一
本节探讨一下storm具体怎么使用,明白怎么在windows下开发storm程序。
功能描述:实时随机输出一字符串。
在开发前记得导入storm需要的jar包。
1、SimpleSpout类继承BaseRichSpout类,用来产生数据并且向topology里面发出消息:tuple。
package com.ljq.helloword; import java.util.Map; import java.util.Random; import backtype.storm.spout.SpoutOutputCollector; import backtype.storm.task.TopologyContext; import backtype.storm.topology.OutputFieldsDeclarer; import backtype.storm.topology.base.BaseRichSpout; import backtype.storm.tuple.Fields; import backtype.storm.tuple.Values; /** * Spout起到和外界沟通的作用,他可以从一个数据库中按照某种规则取数据,也可以从分布式队列中取任务 * * @author Administrator * */ @SuppressWarnings("serial") public class SimpleSpout extends BaseRichSpout{ //用来发射数据的工具类 private SpoutOutputCollector collector; private static String[] info = new String[]{ "comaple\t,12424,44w46,654,12424,44w46,654,", "lisi\t,435435,6537,12424,44w46,654,", "lipeng\t,45735,6757,12424,44w46,654,", "hujintao\t,45735,6757,12424,44w46,654,", "jiangmin\t,23545,6457,2455,7576,qr44453", "beijing\t,435435,6537,12424,44w46,654,", "xiaoming\t,46654,8579,w3675,85877,077998,", "xiaozhang\t,9789,788,97978,656,345235,09889,", "ceo\t,46654,8579,w3675,85877,077998,", "cto\t,46654,8579,w3675,85877,077998,", "zhansan\t,46654,8579,w3675,85877,077998,"}; Random random=new Random(); /** * 初始化collector */ public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) { this.collector = collector; } /** * 在SpoutTracker类中被调用,每调用一次就可以向storm集群中发射一条数据(一个tuple元组),该方法会被不停的调用 */ @Override public void nextTuple() { try { String msg = info[random.nextInt(11)]; // 调用发射方法 collector.emit(new Values(msg)); // 模拟等待100ms Thread.sleep(100); } catch (InterruptedException e) { e.printStackTrace(); } } /** * 定义字段id,该id在简单模式下没有用处,但在按照字段分组的模式下有很大的用处。 * 该declarer变量有很大作用,我们还可以调用declarer.declareStream();来定义stramId,该id可以用来定义更加复杂的流拓扑结构 */ @Override public void declareOutputFields(OutputFieldsDeclarer declarer) { declarer.declare(new Fields("source")); //collector.emit(new Values(msg));参数要对应 } }
2、SimpleBolt类继承BaseBasicBolt类,处理一个输入tuple。
package com.ljq.helloword; import backtype.storm.topology.BasicOutputCollector; import backtype.storm.topology.OutputFieldsDeclarer; import backtype.storm.topology.base.BaseBasicBolt; import backtype.storm.tuple.Fields; import backtype.storm.tuple.Tuple; import backtype.storm.tuple.Values; /** * 接收喷发节点(Spout)发送的数据进行简单的处理后,发射出去。 * * @author Administrator * */ @SuppressWarnings("serial") public class SimpleBolt extends BaseBasicBolt { public void execute(Tuple input, BasicOutputCollector collector) { try { String msg = input.getString(0); if (msg != null){ //System.out.println("msg="+msg); collector.emit(new Values(msg + "msg is processed!")); } } catch (Exception e) { e.printStackTrace(); } } public void declareOutputFields(OutputFieldsDeclarer declarer) { declarer.declare(new Fields("info")); } }
3、SimpleTopology类包含一个main函数,是Storm程序执行的入口点,包括一个数据喷发节点spout和一个数据处理节点bolt。
package com.ljq.helloword; import backtype.storm.Config; import backtype.storm.LocalCluster; import backtype.storm.StormSubmitter; import backtype.storm.topology.TopologyBuilder; /** * 定义了一个简单的topology,包括一个数据喷发节点spout和一个数据处理节点bolt。 * * @author Administrator * */ public class SimpleTopology { public static void main(String[] args) { try { // 实例化TopologyBuilder类。 TopologyBuilder topologyBuilder = new TopologyBuilder(); // 设置喷发节点并分配并发数,该并发数将会控制该对象在集群中的线程数。 topologyBuilder.setSpout("SimpleSpout", new SimpleSpout(), 1); // 设置数据处理节点并分配并发数。指定该节点接收喷发节点的策略为随机方式。 topologyBuilder.setBolt("SimpleBolt", new SimpleBolt(), 3).shuffleGrouping("SimpleSpout"); Config config = new Config(); config.setDebug(true); if (args != null && args.length > 0) { config.setNumWorkers(1); StormSubmitter.submitTopology(args[0], config, topologyBuilder.createTopology()); } else { // 这里是本地模式下运行的启动代码。 config.setMaxTaskParallelism(1); LocalCluster cluster = new LocalCluster(); cluster.submitTopology("simple", config, topologyBuilder.createTopology()); } } catch (Exception e) { e.printStackTrace(); } } }
运行结果效果如下: