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(" ");
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/jdk1.8.0_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-1.1.1.jar:/home/hadoop/app/storm/lib/log4j-core-2.8.2.jar:/home/hadoop/app/storm/lib/reflectasm-1.10.1.jar:/home/hadoop/app/storm/lib/log4j-over-slf4j-1.6.6.jar:/home/hadoop/app/storm/lib/minlog-1.3.0.jar:/home/hadoop/app/storm/lib/kryo-3.0.3.jar:/home/hadoop/app/storm/lib/objenesis-2.1.jar:/home/hadoop/app/storm/lib/disruptor-3.3.2.jar:/home/hadoop/app/storm/lib/storm-core-1.1.1.jar:/home/hadoop/app/storm/lib/servlet-api-2.5.jar:/home/hadoop/app/storm/lib/asm-5.0.3.jar:/home/hadoop/app/storm/lib/log4j-slf4j-impl-2.8.2.jar:/home/hadoop/app/storm/lib/log4j-api-2.8.2.jar:/home/hadoop/app/storm/lib/ring-cors-0.1.5.jar:/home/hadoop/app/storm/lib/slf4j-api-1.7.21.jar:/home/hadoop/app/storm/lib/clojure-1.7.0.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
17406 [main] WARN  o.a.s.u.Utils - STORM-VERSION new 1.1.1 old null
18444 [main] INFO  o.a.s.StormSubmitter - Generated ZooKeeper secret payload for MD5-digest: -8576047804864739509:-7581013764627825431
21549 [main] INFO  o.a.s.u.NimbusClient - Found leader nimbus : alamps:6627
22276 [main] INFO  o.a.s.s.a.AuthUtils - Got AutoCreds []
22320 [main] INFO  o.a.s.u.NimbusClient - Found leader nimbus : alamps:6627
22817 [main] INFO  o.a.s.StormSubmitter - Uploading dependencies - jars...
22845 [main] INFO  o.a.s.StormSubmitter - Uploading dependencies - artifacts...
22845 [main] INFO  o.a.s.StormSubmitter - Dependency Blob keys - jars : [] / artifacts : []
23487 [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
24086 [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
24086 [main] INFO  o.a.s.StormSubmitter - Submitting topology demotopo2 in distributed mode with conf {"topology.acker.executors":0,"storm.zookeeper.topology.auth.scheme":"digest","storm.zookeeper.topology.auth.payload":"-8576047804864739509:-7581013764627825431","topology.workers":4,"topology.debug":true}
24087 [main] WARN  o.a.s.u.Utils - STORM-VERSION new 1.1.1 old 1.1.1
27476 [main] INFO  o.a.s.StormSubmitter - Finished submitting topology: demotopo2