orm编程入门API系列之S

orm编程入门API系列之S

关注
发信
关注(28)粉丝(399)

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现

前期博客

Storm编程入门API系列之Storm的Topology默认Workers、默认executors和默认tasks数目

　　继续编写

StormTopologyMoreWorker.java

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

package zhouls.bigdata.stormDemo;

import java.util.Map;

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.spout.SpoutOutputCollector;

import org.apache.storm.task.OutputCollector;

import org.apache.storm.task.TopologyContext;

import org.apache.storm.topology.OutputFieldsDeclarer;

import org.apache.storm.topology.TopologyBuilder;

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

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

import org.apache.storm.tuple.Fields;

import org.apache.storm.tuple.Tuple;

import org.apache.storm.tuple.Values;

import org.apache.storm.utils.Utils;

public class StormTopologyMoreWorker {

    public static class MySpout extends BaseRichSpout{

        private Map conf;

        private TopologyContext context;

        private SpoutOutputCollector collector;

        public void open(Map conf, TopologyContext context,

                SpoutOutputCollector collector) {

            this.conf = conf;

            this.collector = collector;

            this.context = context;

        }

        int num = ;

        public void nextTuple() {

            num++;

            System.out.println("spout:"+num);

            this.collector.emit(new Values(num));

            Utils.sleep();

        }

        public void declareOutputFields(OutputFieldsDeclarer declarer) {

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

        }

    }

    public static class MyBolt extends BaseRichBolt{

        private Map stormConf;

        private TopologyContext context;

        private OutputCollector collector;

        public void prepare(Map stormConf, TopologyContext context,

                OutputCollector collector) {

            this.stormConf = stormConf;

            this.context = context;

            this.collector = collector;

        }

        int sum = ;

        public void execute(Tuple input) {

            Integer num = input.getIntegerByField("num");

            sum += num;

            System.out.println("sum="+sum);

        }

        public void declareOutputFields(OutputFieldsDeclarer declarer) {

        }

    }

    public static void main(String[] args) {

        TopologyBuilder topologyBuilder = new TopologyBuilder();

        String spout_id = MySpout.class.getSimpleName();

        String bolt_id = MyBolt.class.getSimpleName();

        topologyBuilder.setSpout(spout_id, new MySpout());

        topologyBuilder.setBolt(bolt_id, new MyBolt()).shuffleGrouping(spout_id);

        Config config = new Config();

        config.setNumWorkers();

        String topology_name = StormTopologyMoreWorker.class.getSimpleName();

        if(args.length==){

            //在本地运行

            LocalCluster localCluster = new LocalCluster();

            localCluster.submitTopology(topology_name, config, topologyBuilder.createTopology());

        }else{

            //在集群运行

            try {

                StormSubmitter.submitTopology(topology_name, config, topologyBuilder.createTopology());

            } catch (AlreadyAliveException e) {

                e.printStackTrace();

            } catch (InvalidTopologyException e) {

                e.printStackTrace();

            } catch (AuthorizationException e) {

                e.printStackTrace();

            }

        }

    }

}

　　打jar包

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

[hadoop@master jar]$ pwd

/home/hadoop/app/apache-storm-1.0./jar

[hadoop@master jar]$ ll

total

-rw-r--r--  hadoop hadoop  Jul  : StormTopology.jar

[hadoop@master jar]$ rz

[hadoop@master jar]$ ll

total

-rw-r--r--  hadoop hadoop  Jul  : StormTopology.jar

-rw-r--r--  hadoop hadoop  Jul  : StormTopologyMoreWorker.jar

提交作业之前

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

　　

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

[hadoop@master apache-storm-1.0.]$ pwd

/home/hadoop/app/apache-storm-1.0.

[hadoop@master apache-storm-1.0.]$ ll

total

drwxrwxr-x   hadoop hadoop   May  : bin

-rw-r--r--   hadoop hadoop  Jul    CHANGELOG.md

drwxrwxr-x   hadoop hadoop   Jul  : conf

drwxrwxr-x   hadoop hadoop   Jul    examples

drwxrwxr-x  hadoop hadoop   May  : external

drwxrwxr-x   hadoop hadoop   Jul    extlib

drwxrwxr-x   hadoop hadoop   Jul    extlib-daemon

drwxrwxr-x   hadoop hadoop   Jul  : jar

drwxrwxr-x   hadoop hadoop   May  : lib

-rw-r--r--   hadoop hadoop  Jul    LICENSE

drwxrwxr-x   hadoop hadoop   May  : log4j2

drwxrwxr-x   hadoop hadoop   May  : logs

-rw-r--r--   hadoop hadoop    Jul    NOTICE

drwxrwxr-x   hadoop hadoop   May  : public

-rw-r--r--   hadoop hadoop  Jul    README.markdown

-rw-r--r--   hadoop hadoop      Jul    RELEASE

-rw-r--r--   hadoop hadoop  Jul    SECURITY.md

[hadoop@master apache-storm-1.0.]$ bin/storm jar jar/StormTopologyMoreWorker.jar zhouls.bigdata.stormDemo.StormTopologyMoreWorker aaa

Running: /home/hadoop/app/jdk/bin/java -client -Ddaemon.name= -Dstorm.options= -Dstorm.home=/home/hadoop/app/apache-storm-1.0. -Dstorm.log.dir=/home/hadoop/app/apache-storm-1.0./logs -Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file= -cp /home/hadoop/app/apache-storm-1.0./lib/log4j-api-2.1.jar:/home/hadoop/app/apache-storm-1.0./lib/kryo-3.0..jar:/home/hadoop/app/apache-storm-1.0./lib/storm-rename-hack-1.0..jar:/home/hadoop/app/apache-storm-1.0./lib/log4j-core-2.1.jar:/home/hadoop/app/apache-storm-1.0./lib/slf4j-api-1.7..jar:/home/hadoop/app/apache-storm-1.0./lib/minlog-1.3..jar:/home/hadoop/app/apache-storm-1.0./lib/objenesis-2.1.jar:/home/hadoop/app/apache-storm-1.0./lib/clojure-1.7..jar:/home/hadoop/app/apache-storm-1.0./lib/servlet-api-2.5.jar:/home/hadoop/app/apache-storm-1.0./lib/log4j-slf4j-impl-2.1.jar:/home/hadoop/app/apache-storm-1.0./lib/log4j-over-slf4j-1.6..jar:/home/hadoop/app/apache-storm-1.0./lib/storm-core-1.0..jar:/home/hadoop/app/apache-storm-1.0./lib/disruptor-3.3..jar:/home/hadoop/app/apache-storm-1.0./lib/asm-5.0..jar:/home/hadoop/app/apache-storm-1.0./lib/reflectasm-1.10..jar:jar/StormTopologyMoreWorker.jar:/home/hadoop/app/apache-storm-1.0./conf:/home/hadoop/app/apache-storm-1.0./bin -Dstorm.jar=jar/StormTopologyMoreWorker.jar zhouls.bigdata.stormDemo.StormTopologyMoreWorker aaa

 [main] INFO  o.a.s.StormSubmitter - Generated ZooKeeper secret payload for MD5-digest: -:-

 [main] INFO  o.a.s.s.a.AuthUtils - Got AutoCreds []

 [main] INFO  o.a.s.StormSubmitter - Uploading topology jar jar/StormTopologyMoreWorker.jar to assigned location: /home/hadoop/data/storm/nimbus/inbox/stormjar-ea1d6383-ca31--b784-e06

.jar

 [main] INFO  o.a.s.StormSubmitter - Successfully uploaded topology jar to assigned location: /home/hadoop/data/storm/nimbus/inbox/stormjar-ea1d6383-ca31--b784-e06856000894.jar

 [main] INFO  o.a.s.StormSubmitter - Submitting topology StormTopologyMoreWorker in distributed mode with conf {"storm.zookeeper.topology.auth.scheme":"digest","storm.zookeeper.topology.auth.payload":"-5319119555480935017:-9144362215090188990","topology.workers":}

 [main] INFO  o.a.s.StormSubmitter - Finished submitting topology: StormTopologyMoreWorker

[hadoop@master apache-storm-1.0.]$

　　提交之后

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

　　

　　为什么，会是如上的数字呢？大家要学，就要深入去学和理解。

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

　　

　　因为，我之前运行的StormTopology没有停掉

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

　　现在呢，我将之前运行的StormTopology给停掉，然后，再来看。非常重要

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

　　即提示，我们，30秒之后，kill掉。如果大家等不及，可以设置时间短些

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

　　为什么，会是如上的数字呢？大家要学，就要深入去学和理解。

Storm编程入门API系列之Storm的Topology多个Workers数目控制实现-LMLPHP

　　成功！

05-11 20:07
Powered by LMLPHP ©2024 orm编程入门API系列之S 0.044936