strom-1.1.0模拟单词统计功能，Spout编写，Bolt编写，TopologyDriver编写，本地模式运行，集群模式运行，集群模式下看输出结果

统计文本中的单词出现的频率，其中文本内容如下：

创建项目

项目结构如下：

创建pom.xml，代码如下：

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>cn.toto.strom</groupId>
    <artifactId>wordCountStromDemo</artifactId>
    <version>1.0-SNAPSHOT</version>

    <dependencies>
        <dependency>
            <groupId>org.apache.storm</groupId>
            <artifactId>storm-core</artifactId>
            <!--<scope>provided</scope>-->
            <version>1.1.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.storm</groupId>
            <artifactId>storm-kafka</artifactId>
            <version>1.1.0</version>
        </dependency>
        <dependency>
            <groupId>redis.clients</groupId>
            <artifactId>jedis</artifactId>
            <version>2.7.3</version>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.8.2</artifactId>
            <version>0.8.1</version>
            <exclusions>
                <exclusion>
                    <groupId>org.apache.zookeeper</groupId>
                    <artifactId>zookeeper</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
    </dependencies>
    <build>
        <plugins>
            <plugin>
                <artifactId>maven-assembly-plugin</artifactId>
                <configuration>
                    <descriptorRefs>
                        <descriptorRef>jar-with-dependencies</descriptorRef>
                    </descriptorRefs>
                    <archive>
                        <manifest>
                            <!--告诉运行的主类是哪个，注意根据自己的情况，下面的包名做相应的修改-->
                            <mainClass>cn.toto.strom.wordcount.StormTopologyDriver</mainClass>
                        </manifest>
                    </archive>
                </configuration>
                <executions>
                    <execution>
                        <id>make-assembly</id>
                        <phase>package</phase>
                        <goals>
                            <goal>single</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <source>1.7</source>
                    <target>1.7</target>
                </configuration>
            </plugin>
        </plugins>
    </build>
</project>

注意其中的mainClass配置，根据自己的项目情况，包名要做相应的变化

---

使用spout读取数据，其中MyLocalFileSpout的代码如下：

package cn.toto.strom.wordcount;

import org.apache.commons.lang.StringUtils;
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 java.io.*;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;

/**
 * Created by maoxiangyi on 2016/8/16.
 */
public class MyLocalFileSpout extends BaseRichSpout {
    private SpoutOutputCollector collector;
    private BufferedReader bufferedReader;
    //初始化方法
    public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) {
        this.collector = collector;
        try {
            this.bufferedReader = new BufferedReader(new FileReader(new File("/home/tuzq/software/stormInstallPath/workdir/aaa.txt")));
        } catch (FileNotFoundException e) {
            e.printStackTrace();
        }

    }

    //Storm实时计算的特性就是对数据一条一条的处理
    //while(true){
    // this.nextTuple()
    // }
    public void nextTuple() {
        //每被调用一次就会发送一条数据出去
        try {
            String line = bufferedReader.readLine();
            if (StringUtils.isNotBlank(line)){
                List<Object> arrayList = new ArrayList<Object>();
                arrayList.add(line);
                collector.emit(arrayList);
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        declarer.declare(new Fields("juzi"));
    }
}

使用bolt对单词进行分割，MySplitBolt的代码如下：

package cn.toto.strom.wordcount;

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 MySplitBolt  extends BaseBasicBolt {
    public void execute(Tuple input, BasicOutputCollector collector) {
        //1、数据如何获取
        String juzi = (String)input.getValueByField("juzi");
        //2、进行切割
        String[] strings = juzi.split(" ");
        //3、发送数据
        for (String word : strings){
            //Values 对象帮我们生成一个list
            collector.emit(new Values(word,1));
        }
    }

    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        declarer.declare(new Fields("word","num"));
    }
}

使用Bolt对单词进行统计，MyWordCountAndPrintBolt的代码如下：

package cn.toto.strom.wordcount;

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;

import java.util.HashMap;
import java.util.Map;

/**
 * 代码说明
 *
 * @author tuzq
 * @create 2017-06-20 16:50
 */
public class MyWordCountAndPrintBolt extends BaseBasicBolt {
    private Map<String, Integer> wordCountMap = new HashMap<String, Integer>();

    public void execute(Tuple input, BasicOutputCollector collector) {
        String word = (String) input.getValueByField("word");
        Integer num = (Integer) input.getValueByField("num");
        //1、查看单词对应的value是否存在
        Integer integer = wordCountMap.get(word);
        if (integer == null || integer.intValue() == 0) {
            wordCountMap.put(word,num);
        }else {
            wordCountMap.put(word,integer.intValue() + num);
        }
        //2、打印数据
        System.out.println(wordCountMap);
    }

    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        //todo 不需要定义输出的字段
    }
}

使用TopologyDriver串联spout和bolt进行运行，代码如下：

package cn.toto.strom.wordcount;/**
 * Created by toto on 2017/6/20.
 */

import org.apache.storm.Config;
import org.apache.storm.StormSubmitter;
import org.apache.storm.generated.StormTopology;
import org.apache.storm.topology.TopologyBuilder;

/**
 * 代码说明
 *
 * @author tuzq
 * @create 2017-06-20 16:57
 */
public class StormTopologyDriver {
    public static void main(String[] args) throws AlreadyAliveException, InvalidTopologyException {
        //1、准备任务信息
        TopologyBuilder topologyBuilder = new TopologyBuilder();
        topologyBuilder.setSpout("mySpout", new MyLocalFileSpout(),1);
        topologyBuilder.setBolt("bolt1", new MySplitBolt(),4).shuffleGrouping("mySpout");
        topologyBuilder.setBolt("bolt2", new MyWordCountAndPrintBolt(),2).shuffleGrouping("bolt1");

        //2、任务提交
        //提交给谁？提交什么内容？
        Config config = new Config();
        config.setNumWorkers(2);
        StormTopology stormTopology = topologyBuilder.createTopology();
        //本地模式
        LocalCluster localCluster = new LocalCluster();
        localCluster.submitTopology("wordcount", config, stormTopology);
        //集群模式
       //StormSubmitter.submitTopology("wordcount1", config, stormTopology);
    }
}

如果是集群模式运行，StormTopologyDriver的代码是：

package cn.toto.strom.wordcount;

import org.apache.storm.Config;
import org.apache.storm.StormSubmitter;
import org.apache.storm.generated.StormTopology;
import org.apache.storm.topology.TopologyBuilder;

/*
 * @author tuzq
 * @create 2017-06-20 16:57
 */
public class StormTopologyDriver {
    public static void main(String[] args) throws AlreadyAliveException, InvalidTopologyException {
        //1、准备任务信息
        TopologyBuilder topologyBuilder = new TopologyBuilder();
        //使用2个线程来运行
        topologyBuilder.setSpout("mySpout", new MyLocalFileSpout(),2);
        //使用4个线程来运行
        topologyBuilder.setBolt("bolt1", new MySplitBolt(),4).shuffleGrouping("mySpout");
        //使用2个线程来运行
        topologyBuilder.setBolt("bolt2", new MyWordCountAndPrintBolt(),2).shuffleGrouping("bolt1");

        //2、任务提交
        //提交给谁？提交什么内容？
        Config config = new Config();
        config.setNumWorkers(2);
        StormTopology stormTopology = topologyBuilder.createTopology();
        //本地模式
        //LocalCluster localCluster = new LocalCluster();
        //localCluster.submitTopology("wordcount", config, stormTopology);
        //集群模式
        StormSubmitter.submitTopology("wordcount1", config, stormTopology);
    }
}

StormTopologyDriver 的代码说明：
1.上面有2个worker
2.spout的两个并行度平均分配在两个worker上。每个组件的task数量会被平均分配到worker
3.bolt1的4个并行度平均分配在两个worker上。
4.bolt2的2个并行度平均分配在两个worker上。

一般将多个并行度中的实例，叫做task，默认情况下，一个bolt的并行度是4，代表了4个task.

本地模式运行
可以直接右键Run运行，最终运行的结果如下：

集群模式运行
在idean中对maven项目打包：
由于集群模式下已经有了strom-core-1.1.0XXX.jar，所以在package之前，要修改pom文件，修改storm-core的依赖为（也就是说加上provided，如果是本地模式需要注释这个）：

<dependency>
    <groupId>org.apache.storm</groupId>
    <artifactId>storm-core</artifactId>
    <scope>provided</scope>
    <version>1.1.0</version>
</dependency>

如果不修改，将会报如下的错误：

Exception in thread "main" java.lang.ExceptionInInitializerError
    at org.apache.storm.config$read_storm_config.invoke(config.clj:78)
    at org.apache.storm.config$fn__908.invoke(config.clj:100)
    at org.apache.storm.config__init.load(Unknown Source)
    at org.apache.storm.config__init.<clinit>(Unknown Source)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:348)
    at clojure.lang.RT.classForName(RT.java:2154)
    at clojure.lang.RT.classForName(RT.java:2163)
    at clojure.lang.RT.loadClassForName(RT.java:2182)
    at clojure.lang.RT.load(RT.java:436)
    at clojure.lang.RT.load(RT.java:412)
    at clojure.core$load$fn__5448.invoke(core.clj:5866)
    at clojure.core$load.doInvoke(core.clj:5865)
    at clojure.lang.RestFn.invoke(RestFn.java:408)
    at clojure.core$load_one.invoke(core.clj:5671)
    at clojure.core$load_lib$fn__5397.invoke(core.clj:5711)
    at clojure.core$load_lib.doInvoke(core.clj:5710)
    at clojure.lang.RestFn.applyTo(RestFn.java:142)
    at clojure.core$apply.invoke(core.clj:632)
    at clojure.core$load_libs.doInvoke(core.clj:5753)
    at clojure.lang.RestFn.applyTo(RestFn.java:137)
    at clojure.core$apply.invoke(core.clj:634)
    at clojure.core$use.doInvoke(core.clj:5843)
    at clojure.lang.RestFn.invoke(RestFn.java:408)
    at org.apache.storm.command.config_value$loading__5340__auto____12276.invoke(config_value.clj:16)
    at org.apache.storm.command.config_value__init.load(Unknown Source)
    at org.apache.storm.command.config_value__init.<clinit>(Unknown Source)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:348)
    at clojure.lang.RT.classForName(RT.java:2154)
    at clojure.lang.RT.classForName(RT.java:2163)
    at clojure.lang.RT.loadClassForName(RT.java:2182)
    at clojure.lang.RT.load(RT.java:436)
    at clojure.lang.RT.load(RT.java:412)
    at clojure.core$load$fn__5448.invoke(core.clj:5866)
    at clojure.core$load.doInvoke(core.clj:5865)
    at clojure.lang.RestFn.invoke(RestFn.java:408)
    at clojure.lang.Var.invoke(Var.java:379)
    at org.apache.storm.command.config_value.<clinit>(Unknown Source)
Caused by: java.lang.RuntimeException: java.io.IOException: Found multiple defaults.yaml resources. You're probably bundling the Storm jars with your topology jar. [jar:file:/home/tuzq/software/stormInstallPath/servers/apache-storm-1.1.0/lib/storm-core-1.1.0.jar!/defaults.yaml, jar:file:/home/tuzq/software/stormInstallPath/workdir/wordCountStromDemo-1.0-SNAPSHOT-jar-with-dependencies.jar!/defaults.yaml]
    at org.apache.storm.utils.Utils.findAndReadConfigFile(Utils.java:383)
    at org.apache.storm.utils.Utils.readDefaultConfig(Utils.java:427)
    at org.apache.storm.utils.Utils.readStormConfig(Utils.java:463)
    at org.apache.storm.utils.Utils.<clinit>(Utils.java:177)
    ... 39 more
Caused by: java.io.IOException: Found multiple defaults.yaml resources. You're probably bundling the Storm jars with your topology jar. [jar:file:/home/tuzq/software/stormInstallPath/servers/apache-storm-1.1.0/lib/storm-core-1.1.0.jar!/defaults.yaml, jar:file:/home/tuzq/software/stormInstallPath/workdir/wordCountStromDemo-1.0-SNAPSHOT-jar-with-dependencies.jar!/defaults.yaml]
    at org.apache.storm.utils.Utils.getConfigFileInputStream(Utils.java:409)
    at org.apache.storm.utils.Utils.findAndReadConfigFile(Utils.java:362)
    ... 42 more

注意，如果引入的storm-core的jar包要和集群中的jar包版本是一样
如果本地部署和集群部署的storm-core版本不一样，还需要修改代码中的包名结构，否则将会报错

接着执行如下：

接着执行下图的：

进入项目目录，比如我的：

进入target目录：

红框中的jar是带有其它jar包依赖的jar，上面一个jar是不带依赖的jar,集群模式运行的时候使用wordCountStromDemo-1.0-SNAPSHOT-jar-with-dependencies.jar来运行

将wordCountStromDemo-1.0-SNAPSHOT-jar-with-dependencies.jar上传到：/home/tuzq/software/stormInstallPath/workdir，执行以下命令：

[root@hadoop1 workdir]# storm jar wordCountStromDemo-1.0-SNAPSHOT-jar-with-dependencies.jar cn.toto.strom.wordcount.StormTopologyDriver

命令说明：
表示通过storm运行wordCountStromDemo-1.0-SNAPSHOT-jar-with-dependencies.jar中的cn.toto.strom.wordcount.StormTopologyDriver

运行效果：

通过UI界面查看一下程序在哪儿运行：浏览器地址是http://hadoop1:8080/

点击进入，查看效果：

查看最后结果打印位置
点击UI界面中的Blot2


进入日志目录，查看日志结果：