storm 001

Hadoop、Storm系统和组件接口对比表：

package storm;
import org.apache.storm.Config;
import org.apache.storm.StormSubmitter;
import org.apache.storm.generated.StormTopology;
import org.apache.storm.topology.TopologyBuilder;
/**
 * 组织各个处理组件形成一个完整的处理流程，就是所谓的topology(类似于mapreduce程序中的job)
 * 并且将该topology提交给storm集群去运行，topology提交到集群后就将永无休止地运行，除非人为或者异常退出
 */
public class TopoMain {//storm.TopoMain
	public static void main(String[] args) throws Exception {
		TopologyBuilder builder = new TopologyBuilder();
		// 将我们的spout组件设置到topology中去
		// parallelism_hint ：4 表示用4个excutor来执行这个组件
		// setNumTasks(8) 设置的是该组件执行时的并发task数量，也就意味着1个excutor会运行2个task
		builder.setSpout("randomspout", new RandomWordSpout(), 4).setNumTasks(8);
		// 将大写转换bolt组件设置到topology，并且指定它接收randomspout组件的消息
		// .shuffleGrouping("randomspout")包含两层含义：
		// 1、upperbolt组件接收的tuple消息一定来自于randomspout组件
		// 2、randomspout组件和upperbolt组件的大量并发task实例之间收发消息时采用的分组策略是随机分组shuffleGrouping
		builder.setBolt("upperbolt", new UpperBolt(), 4).shuffleGrouping("randomspout");
		// 将添加后缀的bolt组件设置到topology，并且指定它接收upperbolt组件的消息
		builder.setBolt("suffixbolt", new SuffixBolt(), 4).shuffleGrouping("upperbolt");
		// 用builder来创建一个topology
		StormTopology demotop = builder.createTopology();
		// 配置一些topology在集群中运行时的参数
		Config conf = new Config();
		// 这里设置的是整个demotop所占用的槽位数，也就是worker的数量
		conf.setNumWorkers(4);
		conf.setDebug(true);
		conf.setNumAckers(0);
		//System.setProperty("storm.jar", "/home/hadoop/storm.jar");
		// 将这个topology提交给storm集群运行
		StormSubmitter.submitTopology("demotopo2", conf, demotop);
		//Must submit topologies using the 'storm' client script so that StormSubmitter knows which jar to upload.
	}
}
 
-----------------------------------------------------------------------------------------------------------------
 
package storm; 

import java.util.Map;

import java.util.Random;

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;

public class RandomWordSpout extends BaseRichSpout {

	private SpoutOutputCollector collector;

	// 模拟一些数据

	String[] str = { "hello", "word", "you", "how", "are" };

	// 初始化方法，在spout组件实例化时调用一次

	@Override

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

		this.collector = collector;

	}

	// 声明本spout组件发送出去的tuple中的数据的字段名

	@Override

	public void declareOutputFields(OutputFieldsDeclarer declarer) {

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

	}

	@Override

	public void nextTuple() {

		// 随机挑选出一个名称

		Random random = new Random();

		int index = random.nextInt(str.length);

		// 获取名称

		String name = str[index];

		// 将名称进行封装成tuple，发送消息给下一个组件

		collector.emit(new Values(name));

	}

}

 
************************************************
package storm; 

import java.io.FileWriter;

import java.io.IOException;

import java.util.Map;

import java.util.UUID;

import org.apache.storm.task.TopologyContext;

import org.apache.storm.topology.BasicOutputCollector;

import org.apache.storm.topology.OutputFieldsDeclarer;

import org.apache.storm.topology.base.BaseBasicBolt;

import org.apache.storm.tuple.Tuple;

public class SuffixBolt extends BaseBasicBolt {

	FileWriter fileWriter = null;

	// 在bolt组件运行过程中只会被调用一次

	@Override

	public void prepare(Map stormConf, TopologyContext context) {

		try {

			fileWriter = new FileWriter("/home/hadoop/stormoutput2/" + UUID.randomUUID());

		} catch (IOException e) {

			throw new RuntimeException(e);

		}

	}

	// 该bolt组件的核心处理逻辑

	// 每收到一个tuple消息，就会被调用一次

	@Override

	public void execute(Tuple tuple, BasicOutputCollector collector) {

		// 先拿到上一个组件发送过来的名称

		String upper_name = tuple.getString(0);

		String suffix_name = upper_name + "_itisok";

		// 为上一个组件发送过来的商品名称添加后缀

		try {

			fileWriter.write(suffix_name);

			fileWriter.write("\n");

			fileWriter.flush();

		} catch (IOException e) {

			throw new RuntimeException(e);

		}

	}

	@Override

	public void declareOutputFields(OutputFieldsDeclarer declarer) {

		// TODO Auto-generated method stub

	}

}

 
 
 
***********************************************
package storm; 

import org.apache.storm.topology.BasicOutputCollector;

import org.apache.storm.topology.OutputFieldsDeclarer;

import org.apache.storm.topology.base.BaseBasicBolt;

import org.apache.storm.tuple.Fields;

import org.apache.storm.tuple.Tuple;

import org.apache.storm.tuple.Values;

public class UpperBolt extends BaseBasicBolt {

	// 业务处理逻辑

	@Override

	public void execute(Tuple tuple, BasicOutputCollector collector) {

		// 先获取到上一个组件传递过来的数据,数据在tuple里面

		String godName = tuple.getString(0);

		// 将名称转换成大写

		String godName_upper = godName.toUpperCase();

		// 将转换完成的商品名发送出去

		collector.emit(new Values(godName_upper));

	}

	// 声明该bolt组件要发出去的tuple的字段

	@Override

	public void declareOutputFields(OutputFieldsDeclarer declarer) {

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

	}

}

[root@alamps bin]# mkdir  /home/hadoop/stormoutput2
[root@alamps bin]# storm jar /home/hadoop/storm2.jar  storm.TopoMain
Running: /home/hadoop/app/jdk1..0_144/bin/java -client -Ddaemon.name= -Dstorm.options= -Dstorm.home=/home/hadoop/app/storm -Dstorm.log.dir=/home/hadoop/app/storm/logs -Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file= -cp /home/hadoop/app/storm/lib/storm-rename-hack-1.1..jar:/home/hadoop/app/storm/lib/log4j-core-2.8..jar:/home/hadoop/app/storm/lib/reflectasm-1.10..jar:/home/hadoop/app/storm/lib/log4j-over-slf4j-1.6..jar:/home/hadoop/app/storm/lib/minlog-1.3..jar:/home/hadoop/app/storm/lib/kryo-3.0..jar:/home/hadoop/app/storm/lib/objenesis-2.1.jar:/home/hadoop/app/storm/lib/disruptor-3.3..jar:/home/hadoop/app/storm/lib/storm-core-1.1..jar:/home/hadoop/app/storm/lib/servlet-api-2.5.jar:/home/hadoop/app/storm/lib/asm-5.0..jar:/home/hadoop/app/storm/lib/log4j-slf4j-impl-2.8..jar:/home/hadoop/app/storm/lib/log4j-api-2.8..jar:/home/hadoop/app/storm/lib/ring-cors-0.1..jar:/home/hadoop/app/storm/lib/slf4j-api-1.7..jar:/home/hadoop/app/storm/lib/clojure-1.7..jar:/home/hadoop/storm2.jar:/home/hadoop/app/storm/conf:/home/hadoop/app/storm/bin -Dstorm.jar=/home/hadoop/storm2.jar -Dstorm.dependency.jars= -Dstorm.dependency.artifacts={} storm.TopoMain
 [main] WARN  o.a.s.u.Utils - STORM-VERSION new 1.1. old null
 [main] INFO  o.a.s.StormSubmitter - Generated ZooKeeper secret payload for MD5-digest: -:-
 [main] INFO  o.a.s.u.NimbusClient - Found leader nimbus : alamps:
 [main] INFO  o.a.s.s.a.AuthUtils - Got AutoCreds []
 [main] INFO  o.a.s.u.NimbusClient - Found leader nimbus : alamps:
 [main] INFO  o.a.s.StormSubmitter - Uploading dependencies - jars...
 [main] INFO  o.a.s.StormSubmitter - Uploading dependencies - artifacts...
 [main] INFO  o.a.s.StormSubmitter - Dependency Blob keys - jars : [] / artifacts : []
 [main] INFO  o.a.s.StormSubmitter - Uploading topology jar /home/hadoop/storm2.jar to assigned location: /home/hadoop/app/storm/storm-local/nimbus/inbox/stormjar-408de160-c6d7-4d2c-895a-1416d94ea4a2.jar
 [main] INFO  o.a.s.StormSubmitter - Successfully uploaded topology jar to assigned location: /home/hadoop/app/storm/storm-local/nimbus/inbox/stormjar-408de160-c6d7-4d2c-895a-1416d94ea4a2.jar
 [main] INFO  o.a.s.StormSubmitter - Submitting topology demotopo2 in distributed mode with conf {"topology.acker.executors":,"storm.zookeeper.topology.auth.scheme":"digest","storm.zookeeper.topology.auth.payload":"-8576047804864739509:-7581013764627825431","topology.workers":,"topology.debug":true}
 [main] WARN  o.a.s.u.Utils - STORM-VERSION new 1.1. old 1.1.
 [main] INFO  o.a.s.StormSubmitter - Finished submitting topology: demotopo2