Storm2.x集群搭建及SpringBoot+Storm实现词频统计测试

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准备3台机器

  • cache1000:192.168.1.160 用来部署nimbus、ui管理平台和zookeeper

  • cache1001:192.168.1.161 用来部署supervisor 和 zookeeper

  • cache1002:192.168.1.162 用来部署supervisor 和 zookeeper

  • 配置hosts

    192.168.1.160 cache1000
192.168.1.161 cache1001
192.168.1.162 cache1002

  • 下载最新的storm

    // 这里包含了所有的版本
http://storm.apache.org/downloads.html

// 下载2.1.0的版本
cd /usr/local/src
wget https://mirror.bit.edu.cn/apache/storm/apache-storm-2.1.0/apache-storm-2.1.0.tar.gz

JDK 8安装及ZK集群安装

参考并发(七)之分布式异步更新：Zookeeper+Kafka实现数据分布式异步更新 ，其中包含了JDK的安装及zk集群的搭建

Storm部署

安装之前确保JDK 8和ZK已经部署好且能正常使用

  • 解压

    // 创建数据目录
mkdir -p /var/storm/data

cd /usr/local/src/
tar -zxvf apache-storm-2.1.0.tar.gz
mv apache-storm-2.1.0 /usr/local/storm
cd /usr/local/storm

  • 修改配置

    vim /usr/local/storm/conf/storm.yaml

// 修改一下配置

#zookeeper集群的地址
#cache1000...跟别都是主机名 在/var/hosts配置了映射关系
storm.zookeeper.servers:
  - "cache1000"
  - "cache1001"
  - "cache1002"
#zk的端口，默认就是2181
storm.zookeeper.port: 2181
#nimbus的主机
nimbus.seeds: ["cache1000"]

#数据保存的本地路径
storm.local.dir: "/var/storm/data"

#supervisor允许启动多少个端口，一个端口代表一个worker
supervisor.slots.ports:
  - 6700
  - 6701
  - 6702
  - 6703
#管理平台的端口，默认8080，防止冲突的话可以修改
ui.port: 8082

  • 拷贝配置文件到其他机器

    // 也可以手动拷贝
scp -r /usr/local/storm/conf/storm.yaml root@cache1001:/usr/local/storm/conf/storm.yaml
scp -r /usr/local/storm/conf/storm.yaml root@cache1002:/usr/local/storm/conf/storm.yaml

  • 配置环境变量(可跳过)

    // 为了方便，可以配置环境变量

vim ~/.bash_profile

// 添加
export STORM_HOME=/usr/local/storm
// PATH追加
:$STORM_HOME/bin

// 刷新配置
source ~/.bash_profile

// 其他机器可以使用scp拷贝过去
scp -r ~/.bash_profile root@cache1001:~/.bash_profile
scp -r ~/.bash_profile root@cache1002:~/.bash_profile

// 每台机器都刷新配置
source ~/.bash_profile

// 测试环境变量
storm -h

  • 启动服务nimbus

    // cache1000 启动nimbus  和 ui管理平台
// 配置了环境变量的启动方式
storm nimbus >/dev/null 2>&1 &
storm ui >/dev/null 2>&1 &
// 未配置环境变量的启动方式
cd /usr/local/storm/bin
./storm nimbus >/dev/null 2>&1 &
./storm ui >/dev/null 2>&1 &

// 查看进程
jps | grep Nimbus
jps | grep UIServer

    file 如遇图片加载失败，可尝试使用手机流量访问

  • 启动supervisor

    // cache1001和cache1002启动supervisor
// 配置了环境变量的启动方式
storm supervisor >/dev/null 2>&1 &
// 未配置环境变量的启动方式
cd /usr/local/storm/bin
./storm supervisor >/dev/null 2>&1 &

// 查看进程
jps | grep Supervisor

    file 如遇图片加载失败，可尝试使用手机流量访问

  • 启动logviewer(所有节点)

    storm logviewer >/dev/null 2>&1 &
// 或
cd /usr/local/storm/bin
./storm logviewer >/dev/null 2>&1 &

    file 如遇图片加载失败，可尝试使用手机流量访问

  • 管理页面

    // 及图IP和主机名根据个人的实际情况来
// window别名访问需要在:  C:\Windows\System32\drivers\etc\hosts 文件中配置别名映射
http://cache1000:8082

    file 如遇图片加载失败，可尝试使用手机流量访问

基于SpringBoot的词频统计

  • 依赖

    <dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter</artifactId>
    <exclusions>
        <exclusion>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-to-slf4j</artifactId>
        </exclusion>
    </exclusions>
</dependency>
<dependency>
    <groupId>org.apache.storm</groupId>
    <artifactId>storm-core</artifactId>
    <version>1.2.3</version>
    <!--在本地模式运行的时候需要把下面的给注释掉-->
    <!--<scope>provided</scope>-->
</dependency>
<dependency>
    <groupId>com.codahale.metrics</groupId>
    <artifactId>metrics-core</artifactId>
    <version>3.0.2</version>
</dependency>

  • 插件

    <build>
    <sourceDirectory>src/main/java</sourceDirectory>

    <plugins>
        <plugin>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-jar-plugin</artifactId>
        </plugin>
        <plugin>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-shade-plugin</artifactId>
            <version>2.3</version>
            <configuration>
                <createDependencyReducedPom>true</createDependencyReducedPom>
                <filters>
                    <filter>
                        <artifact>*:*</artifact>
                        <excludes>
                            <exclude>META-INF/*.SF</exclude>
                            <exclude>META-INF/*.sf</exclude>
                            <exclude>META-INF/*.DSA</exclude>
                            <exclude>META-INF/*.dsa</exclude>
                            <exclude>META-INF/*.RSA</exclude>
                            <exclude>META-INF/*.rsa</exclude>
                            <exclude>META-INF/*.EC</exclude>
                            <exclude>META-INF/*.ec</exclude>
                            <exclude>META-INF/MSFTSIG.SF</exclude>
                            <exclude>META-INF/MSFTSIG.RSA</exclude>
                        </excludes>
                    </filter>
                </filters>
            </configuration>
            <executions>
                <execution>
                    <phase>package</phase>
                    <goals>
                        <goal>shade</goal>
                    </goals>
                    <configuration>
                        <transformers>
                            <!-- <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
                             <transformer
                                     implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                                 <mainClass>org.durcframework.core.MainCore</mainClass>
                             </transformer>-->
                        </transformers>
                    </configuration>
                </execution>
            </executions>
        </plugin>

        <plugin>
            <groupId>org.codehaus.mojo</groupId>
            <artifactId>exec-maven-plugin</artifactId>
            <version>1.2.1</version>
            <executions>
                <execution>
                    <goals>
                        <goal>exec</goal>
                    </goals>
                </execution>
            </executions>
            <configuration>
                <executable>java</executable>
                <includeProjectDependencies>true</includeProjectDependencies>
                <includePluginDependencies>false</includePluginDependencies>
                <classpathScope>compile</classpathScope>
                <mainClass></mainClass>
            </configuration>
        </plugin>
    </plugins>
</build>

  • 创建Spout，用于源源不断的输出原始数据

    import lombok.extern.slf4j.Slf4j;
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;
import org.apache.storm.utils.Utils;

import java.util.Map;
import java.util.Random;

@Slf4j
public class ProverbSpout extends BaseRichSpout
{
    TopologyContext context;
    SpoutOutputCollector collector;
    Random random;

    /**
     * 做初始化相关的工作
     * 如初始化连接池
     * 创建http连接 等
     *
     * @param map
     * @param topologyContext      拓扑上下文对象
     * @param spoutOutputCollector 用于发射数据的collector
     */
    @Override
    public void open(Map map, TopologyContext topologyContext, SpoutOutputCollector spoutOutputCollector)
    {
        context = topologyContext;
        collector = spoutOutputCollector;
        random = new Random();
    }

    @Override
    public void nextTuple()
    {
        Utils.sleep(100);
        String[] proverbs = new String[5];
        // 没谁瞧不起你，因为别人根本就没瞧你，大家都很忙的
        proverbs[0] = "Nobody looks down on you because everybody is too busy to look at you";
        // 深谙世故却不世故，才是最成熟的善良
        proverbs[1] = "Thoroughly understanding the world but not sophisticated is the maturest kindness";
        // 如果只是相见，却不能在一起，那宁愿从未相遇
        proverbs[2] = "If we can only encounter each other rather than stay with each other then I wish we had never encountered";
        // 当有人离开你的生活时，随他们去吧。这只是给更好的人留足了进入你生活的空间
        proverbs[3] = "When someone walk out your life let them They are just making more room for someone else better to walk in";
        // 要努力使每一天都开心而有意义，不为别人，为自己
        proverbs[4] = "Strive to make every day joyful and meaningful not for others, but for myself";
        int i = random.nextInt(proverbs.length);

        String proverb = proverbs[i];
        //  new Values就是构建一个tuple(元组)
        // tuple是最小的数据单元
        // 无数个tuple组成的流就是stream
        log.info("发射谚语{}", proverbs);
        collector.emit(new Values(proverb));
    }

    /**
     * 用于定义发射出去的tuple中field的名称
     *
     * @param outputFieldsDeclarer
     */
    @Override
    public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer)
    {
        // 这里定义字段名称为proverbs(谚语)
        outputFieldsDeclarer.declare(new Fields("proverb"));
    }
}

  • 创建句子拆分的Bolt

    import org.apache.storm.task.OutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseRichBolt;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Tuple;
import org.apache.storm.tuple.Values;

import java.util.Map;

public class SplitProverb extends BaseRichBolt
{
    OutputCollector collector;

    /**
     * bolt的初始化方法
     *
     * @param map
     * @param topologyContext
     * @param outputCollector bolt的tuple发射器
     */
    @Override
    public void prepare(Map map, TopologyContext topologyContext, OutputCollector outputCollector)
    {
        collector = outputCollector;
    }

    /**
     * 会接受到spout发射出来的谚语
     *
     * @param tuple
     */
    @Override
    public void execute(Tuple tuple)
    {
        String proverb = tuple.getStringByField("proverb");
        String[] words = proverb.split(" ");
        for (String word : words)
        {
            collector.emit(new Values(word));
        }
    }

    /**
     * 定于bolt发射出去的tuple中field的名称
     *
     * @param outputFieldsDeclarer
     */
    @Override
    public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer)
    {
        // 这里定义为word
        outputFieldsDeclarer.declare(new Fields("word"));
    }
}

  • 词频的Bolt

    import lombok.extern.slf4j.Slf4j;
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 java.util.HashMap;
import java.util.Map;

@Slf4j
public class WordCount extends BaseBasicBolt
{
    // 统计词频
    Map<String, Long> counts = new HashMap<>();

    @Override
    public void execute(Tuple tuple, BasicOutputCollector basicOutputCollector)
    {
        // 获取到前一个task发射出来的tuple
        String word = tuple.getStringByField("word");
        Long count = counts.get(word);
        if (null == count)
        {
            count = 0l;
        }
        count++;
        counts.put(word, count);
        log.info("{}词频{}次", word, count);
    }

    @Override
    public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer)
    {
        // 声明field
        outputFieldsDeclarer.declare(new Fields("word", "count"));
    }
}

  • 创建词频的Topology

    import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.StormSubmitter;
import org.apache.storm.topology.TopologyBuilder;
import org.apache.storm.tuple.Fields;
import org.apache.storm.utils.Utils;

public class WordCountMain
{
    public static void main(String[] args)
    {
        TopologyBuilder builder = new TopologyBuilder();

        // 第一个参数 名称
        // 第二个参数 实例化一个spout的对象
        // 第三个参数 指定spout的executor有几个
        builder.setSpout("proverbSpout", new ProverbSpout(), 2);

        builder.setBolt("splitProverb", new SplitProverb(), 4).
                setNumTasks(8)
                .shuffleGrouping("proverbSpout");

        // 通过fieldsGrouping指定group的field可以将相同的单词发射到下游的同一个task中去
        builder.setBolt("", new WordCount(), 4)
                .setNumTasks(8)
                .fieldsGrouping("splitProverb", new Fields("word"));

        // topology的配置文件
        Config config = new Config();
        try
        {
            if (args != null && args.length > 0)
            {
                // 说明是命令行执行
                config.setNumWorkers(3);
                // args[0]传递的topology的名称
                StormSubmitter.submitTopology(args[0], config, builder.createTopology());
            }
            else
            {
                // 最大的任务并行度
                config.setMaxTaskParallelism(20);
                LocalCluster localCluster = new LocalCluster();
                // 提交一个topology
                localCluster.submitTopology("WordCountTopology", config, builder.createTopology());

                // 测试环境运行1分钟
                Utils.sleep(1 * 60 * 1000);

                // 然后关掉本地的测试
                localCluster.shutdown();
            }
        }
        catch (Exception e)
        {
            e.printStackTrace();
        }
    }
}

  • 错误一

    java.lang.NoClassDefFoundError: org/apache/storm/topology/IRichSpout
  at java.lang.Class.getDeclaredMethods0(Native Method)
  at java.lang.Class.privateGetDeclaredMethods(Unknown Source)
  at java.lang.Class.privateGetMethodRecursive(Unknown Source)
  at java.lang.Class.getMethod0(Unknown Source)
  at java.lang.Class.getMethod(Unknown Source)
  at sun.launcher.LauncherHelper.validateMainClass(Unknown Source)
  at sun.launcher.LauncherHelper.checkAndLoadMain(Unknown Source)

// 解决方式  把scope注释掉
// 如果使用最新的2.x的包，就是是注释了，也会出问题，因此这里用的1.2.3的版本进行测试
<dependency>
    <groupId>org.apache.storm</groupId>
    <artifactId>storm-core</artifactId>
    <version>1.2.3</version>
    <!--在本地模式运行的时候需要把下面的给注释掉-->
    <!--<scope>provided</scope>-->
</dependency>

  • 问题二

    java.lang.IllegalArgumentException: No matching field found: getConfiguration for class org.apache.logging.slf4j.SLF4JLoggerContext

// 解决方式
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter</artifactId>
    <!-- 因为日志包的冲突 这里把log4j-to-slf4j提出掉-->
    <exclusions>
        <exclusion>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-to-slf4j</artifactId>
        </exclusion>
    </exclusions>
</dependency>

  • 测试file 如遇图片加载失败，可尝试使用手机流量访问

storm集群运行

  • 项目打包

    mvn clean package -Dmaven.test.skip=true

  • 将jar包上传到服务器任意目录并允许

    // 任意目录只适合配置了环境变量的机器，并通过以下规则指令运行
storm jar xxx.jar com.xxx.yyy.Topology(main对应的路径) arg0 arg1 arg2

如：
storm jar storm-0.0.1-SNAPSHOT.jar com.lupf.shopstorm.wordcount.WordCountMain WordCountTopology
// 下图的日志说明topology已经提交成功了

    file 如遇图片加载失败，可尝试使用手机流量访问

  • 暂停服务

    storm kill Topology名称
// 如：
storm kill WordCountTopology#### 准备3台机器

  • cache1000:192.168.1.160 用来部署nimbus、ui管理平台和zookeeper

  • cache1001:192.168.1.161 用来部署supervisor 和 zookeeper

  • cache1002:192.168.1.162 用来部署supervisor 和 zookeeper

  • 配置hosts

    192.168.1.160 cache1000
192.168.1.161 cache1001
192.168.1.162 cache1002

  • 下载最新的storm

    // 这里包含了所有的版本
http://storm.apache.org/downloads.html

// 下载2.1.0的版本
cd /usr/local/src
wget https://mirror.bit.edu.cn/apache/storm/apache-storm-2.1.0/apache-storm-2.1.0.tar.gz

JDK 8安装及ZK集群安装

参考并发(七)之分布式异步更新：Zookeeper+Kafka实现数据分布式异步更新 ，其中包含了JDK的安装及zk集群的搭建

Storm部署

安装之前确保JDK 8和ZK已经部署好且能正常使用

  • 解压

    // 创建数据目录
mkdir -p /var/storm/data

cd /usr/local/src/
tar -zxvf apache-storm-2.1.0.tar.gz
mv apache-storm-2.1.0 /usr/local/storm
cd /usr/local/storm

  • 修改配置

    vim /usr/local/storm/conf/storm.yaml

// 修改一下配置

#zookeeper集群的地址
#cache1000...跟别都是主机名 在/var/hosts配置了映射关系
storm.zookeeper.servers:
  - "cache1000"
  - "cache1001"
  - "cache1002"
#zk的端口，默认就是2181
storm.zookeeper.port: 2181
#nimbus的主机
nimbus.seeds: ["cache1000"]

#数据保存的本地路径
storm.local.dir: "/var/storm/data"

#supervisor允许启动多少个端口，一个端口代表一个worker
supervisor.slots.ports:
  - 6700
  - 6701
  - 6702
  - 6703
#管理平台的端口，默认8080，防止冲突的话可以修改
ui.port: 8082

  • 拷贝配置文件到其他机器

    // 也可以手动拷贝
scp -r /usr/local/storm/conf/storm.yaml root@cache1001:/usr/local/storm/conf/storm.yaml
scp -r /usr/local/storm/conf/storm.yaml root@cache1002:/usr/local/storm/conf/storm.yaml

  • 配置环境变量(可跳过)

    // 为了方便，可以配置环境变量

vim ~/.bash_profile

// 添加
export STORM_HOME=/usr/local/storm
// PATH追加
:$STORM_HOME/bin

// 刷新配置
source ~/.bash_profile

// 其他机器可以使用scp拷贝过去
scp -r ~/.bash_profile root@cache1001:~/.bash_profile
scp -r ~/.bash_profile root@cache1002:~/.bash_profile

// 每台机器都刷新配置
source ~/.bash_profile

// 测试环境变量
storm -h

  • 启动服务nimbus

    // cache1000 启动nimbus  和 ui管理平台
// 配置了环境变量的启动方式
storm nimbus >/dev/null 2>&1 &
storm ui >/dev/null 2>&1 &
// 未配置环境变量的启动方式
cd /usr/local/storm/bin
./storm nimbus >/dev/null 2>&1 &
./storm ui >/dev/null 2>&1 &

// 查看进程
jps | grep Nimbus
jps | grep UIServer

    file 如遇图片加载失败，可尝试使用手机流量访问

  • 启动supervisor

    // cache1001和cache1002启动supervisor
// 配置了环境变量的启动方式
storm supervisor >/dev/null 2>&1 &
// 未配置环境变量的启动方式
cd /usr/local/storm/bin
./storm supervisor >/dev/null 2>&1 &

// 查看进程
jps | grep Supervisor

    file 如遇图片加载失败，可尝试使用手机流量访问

  • 管理页面

    // 及图IP和主机名根据个人的实际情况来
// window别名访问需要在:  C:\Windows\System32\drivers\etc\hosts 文件中配置别名映射
http://cache1000:8082

    file 如遇图片加载失败，可尝试使用手机流量访问

基于SpringBoot的词频统计

  • 依赖

    <dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter</artifactId>
    <exclusions>
        <!-- 因为日志包的冲突 这里把log4j-to-slf4j提出掉-->
        <exclusion>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-to-slf4j</artifactId>
        </exclusion>
    </exclusions>
</dependency>
<dependency>
    <groupId>org.apache.storm</groupId>
    <artifactId>storm-core</artifactId>
    <version>1.2.3</version>
    <!--在本地模式运行的时候需要把下面的给注释掉-->
    <!--<scope>provided</scope>-->
</dependency>
<dependency>
    <groupId>com.codahale.metrics</groupId>
    <artifactId>metrics-core</artifactId>
    <version>3.0.2</version>
</dependency>

  • 插件

    <build>
    <sourceDirectory>src/main/java</sourceDirectory>

    <plugins>
        <plugin>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-jar-plugin</artifactId>
        </plugin>
        <plugin>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-shade-plugin</artifactId>
            <version>2.3</version>
            <configuration>
                <createDependencyReducedPom>true</createDependencyReducedPom>
                <filters>
                    <filter>
                        <artifact>*:*</artifact>
                        <excludes>
                            <exclude>META-INF/*.SF</exclude>
                            <exclude>META-INF/*.sf</exclude>
                            <exclude>META-INF/*.DSA</exclude>
                            <exclude>META-INF/*.dsa</exclude>
                            <exclude>META-INF/*.RSA</exclude>
                            <exclude>META-INF/*.rsa</exclude>
                            <exclude>META-INF/*.EC</exclude>
                            <exclude>META-INF/*.ec</exclude>
                            <exclude>META-INF/MSFTSIG.SF</exclude>
                            <exclude>META-INF/MSFTSIG.RSA</exclude>
                        </excludes>
                    </filter>
                </filters>
            </configuration>
            <executions>
                <execution>
                    <phase>package</phase>
                    <goals>
                        <goal>shade</goal>
                    </goals>
                    <configuration>
                        <transformers>
                            <!-- <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
                             <transformer
                                     implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                                 <mainClass>org.durcframework.core.MainCore</mainClass>
                             </transformer>-->
                        </transformers>
                    </configuration>
                </execution>
            </executions>
        </plugin>

        <plugin>
            <groupId>org.codehaus.mojo</groupId>
            <artifactId>exec-maven-plugin</artifactId>
            <version>1.2.1</version>
            <executions>
                <execution>
                    <goals>
                        <goal>exec</goal>
                    </goals>
                </execution>
            </executions>
            <configuration>
                <executable>java</executable>
                <includeProjectDependencies>true</includeProjectDependencies>
                <includePluginDependencies>false</includePluginDependencies>
                <classpathScope>compile</classpathScope>
                <mainClass></mainClass>
            </configuration>
        </plugin>
    </plugins>
</build>

  • 创建Spout，用于源源不断的输出原始数据

    import lombok.extern.slf4j.Slf4j;
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;
import org.apache.storm.utils.Utils;

import java.util.Map;
import java.util.Random;

@Slf4j
public class ProverbSpout extends BaseRichSpout
{
    TopologyContext context;
    SpoutOutputCollector collector;
    Random random;

    /**
     * 做初始化相关的工作
     * 如初始化连接池
     * 创建http连接 等
     *
     * @param map
     * @param topologyContext      拓扑上下文对象
     * @param spoutOutputCollector 用于发射数据的collector
     */
    @Override
    public void open(Map map, TopologyContext topologyContext, SpoutOutputCollector spoutOutputCollector)
    {
        context = topologyContext;
        collector = spoutOutputCollector;
        random = new Random();
    }

    @Override
    public void nextTuple()
    {
        Utils.sleep(100);
        String[] proverbs = new String[5];
        // 没谁瞧不起你，因为别人根本就没瞧你，大家都很忙的
        proverbs[0] = "Nobody looks down on you because everybody is too busy to look at you";
        // 深谙世故却不世故，才是最成熟的善良
        proverbs[1] = "Thoroughly understanding the world but not sophisticated is the maturest kindness";
        // 如果只是相见，却不能在一起，那宁愿从未相遇
        proverbs[2] = "If we can only encounter each other rather than stay with each other then I wish we had never encountered";
        // 当有人离开你的生活时，随他们去吧。这只是给更好的人留足了进入你生活的空间
        proverbs[3] = "When someone walk out your life let them They are just making more room for someone else better to walk in";
        // 要努力使每一天都开心而有意义，不为别人，为自己
        proverbs[4] = "Strive to make every day joyful and meaningful not for others, but for myself";
        int i = random.nextInt(proverbs.length);

        String proverb = proverbs[i];
        //  new Values就是构建一个tuple(元组)
        // tuple是最小的数据单元
        // 无数个tuple组成的流就是stream
        log.info("发射谚语{}", proverbs);
        collector.emit(new Values(proverb));
    }

    /**
     * 用于定义发射出去的tuple中field的名称
     *
     * @param outputFieldsDeclarer
     */
    @Override
    public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer)
    {
        // 这里定义字段名称为proverbs(谚语)
        outputFieldsDeclarer.declare(new Fields("proverb"));
    }
}

  • 创建句子拆分的Bolt

    import org.apache.storm.task.OutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseRichBolt;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Tuple;
import org.apache.storm.tuple.Values;
import java.util.Map;

public class SplitProverb extends BaseRichBolt
{
    OutputCollector collector;

    /**
     * bolt的初始化方法
     *
     * @param map
     * @param topologyContext
     * @param outputCollector bolt的tuple发射器
     */
    @Override
    public void prepare(Map map, TopologyContext topologyContext, OutputCollector outputCollector)
    {
        collector = outputCollector;
    }

    /**
     * 会接受到spout发射出来的谚语
     *
     * @param tuple
     */
    @Override
    public void execute(Tuple tuple)
    {
        String proverb = tuple.getStringByField("proverb");
        String[] words = proverb.split(" ");
        for (String word : words)
        {
            collector.emit(new Values(word));
        }
    }

    /**
     * 定于bolt发射出去的tuple中field的名称
     *
     * @param outputFieldsDeclarer
     */
    @Override
    public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer)
    {
        // 这里定义为word
        outputFieldsDeclarer.declare(new Fields("word"));
    }
}

  • 词频的Bolt

    import lombok.extern.slf4j.Slf4j;
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 java.util.HashMap;
import java.util.Map;

@Slf4j
public class WordCount extends BaseBasicBolt
{
    // 统计词频
    Map<String, Long> counts = new HashMap<>();

    @Override
    public void execute(Tuple tuple, BasicOutputCollector basicOutputCollector)
    {
        // 获取到前一个task发射出来的tuple
        String word = tuple.getStringByField("word");
        Long count = counts.get(word);
        if (null == count)
        {
            count = 0l;
        }
        count++;
        counts.put(word, count);
        log.info("{}词频{}次", word, count);
    }

    @Override
    public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer)
    {
        // 声明field
        outputFieldsDeclarer.declare(new Fields("word", "count"));
    }
}

  • 创建词频的Topology

    import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.StormSubmitter;
import org.apache.storm.topology.TopologyBuilder;
import org.apache.storm.tuple.Fields;
import org.apache.storm.utils.Utils;

public class WordCountMain
{
    public static void main(String[] args)
    {
        TopologyBuilder builder = new TopologyBuilder();

        // 第一个参数 名称
        // 第二个参数 实例化一个spout的对象
        // 第三个参数 指定spout的executor有几个
        builder.setSpout("proverbSpout", new ProverbSpout(), 2);

        builder.setBolt("splitProverb", new SplitProverb(), 4).
                setNumTasks(8)
                .shuffleGrouping("proverbSpout");

        // 通过fieldsGrouping指定group的field可以将相同的单词发射到下游的同一个task中去
        builder.setBolt("", new WordCount(), 4)
                .setNumTasks(8)
                .fieldsGrouping("splitProverb", new Fields("word"));

        // topology的配置文件
        Config config = new Config();
        try
        {
            if (args != null && args.length > 0)
            {
                // 说明是命令行执行
                config.setNumWorkers(3);
                // args[0]传递的topology的名称
                StormSubmitter.submitTopology(args[0], config, builder.createTopology());
            }
            else
            {
                // 最大的任务并行度
                config.setMaxTaskParallelism(20);
                LocalCluster localCluster = new LocalCluster();
                // 提交一个topology
                localCluster.submitTopology("WordCountTopology", config, builder.createTopology());

                // 测试环境运行1分钟
                Utils.sleep(1 * 60 * 1000);

                // 然后关掉本地的测试
                localCluster.shutdown();
            }
        }
        catch (Exception e)
        {
            e.printStackTrace();
        }
    }
}

  • 错误一

    java.lang.NoClassDefFoundError: org/apache/storm/topology/IRichSpout
  at java.lang.Class.getDeclaredMethods0(Native Method)
  at java.lang.Class.privateGetDeclaredMethods(Unknown Source)
  at java.lang.Class.privateGetMethodRecursive(Unknown Source)
  at java.lang.Class.getMethod0(Unknown Source)
  at java.lang.Class.getMethod(Unknown Source)
  at sun.launcher.LauncherHelper.validateMainClass(Unknown Source)
  at sun.launcher.LauncherHelper.checkAndLoadMain(Unknown Source)

// 解决方式  把scope注释掉
// 如果使用最新的2.x的包，就是是注释了，也会出问题，因此这里用的1.2.3的版本进行测试
<dependency>
    <groupId>org.apache.storm</groupId>
    <artifactId>storm-core</artifactId>
    <version>1.2.3</version>
    <!--在本地模式运行的时候需要把下面的给注释掉-->
    <!--<scope>provided</scope>-->
</dependency>

  • 问题二

    java.lang.IllegalArgumentException: No matching field found: getConfiguration for class org.apache.logging.slf4j.SLF4JLoggerContext

// 解决方式
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter</artifactId>
    <!-- 因为日志包的冲突 这里把log4j-to-slf4j提出掉-->
    <exclusions>
        <exclusion>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-to-slf4j</artifactId>
        </exclusion>
    </exclusions>
</dependency>

  • 测试file 如遇图片加载失败，可尝试使用手机流量访问

storm集群运行

  • 项目打包

    mvn clean package -Dmaven.test.skip=true

  • 将jar包上传到服务器任意目录并允许

    // 任意目录只适合配置了环境变量的机器，并通过以下规则指令运行
storm jar xxx.jar com.xxx.yyy.Topology(main对应的路径) arg0 arg1 arg2

如：
storm jar storm-0.0.1-SNAPSHOT.jar com.lupf.shopstorm.wordcount.WordCountMain WordCountTopology
// 下图的日志说明topology已经提交成功了

    file 如遇图片加载失败，可尝试使用手机流量访问

  • 暂停服务

    storm kill Topology名称
// 如：
storm kill WordCountTopology

    file 如遇图片加载失败，可尝试使用手机流量访问

  • UI界面查看

    // 具体地址根据个人的部署情况
http://cache1000:8082
// 即可看到相关的任务正在运行

    file 如遇图片加载失败，可尝试使用手机流量访问

  • UI界面查看

    // 具体地址根据个人的部署情况
http://cache1000:8082
// 即可看到相关的任务正在运行

    file 如遇图片加载失败，可尝试使用手机流量访问


标题：Storm2.x集群搭建及SpringBoot+Storm实现词频统计测试
作者：码霸霸
地址：https://lupf.cn/articles/2020/04/17/1587126422655.html