kafka+storm 单机运行

环境：

　　1、kafka+zookeeper

　　2、window平台

　　3、eclipse

设置：

1、kafka和zookeeper安装，另一篇有介绍（https://www.cnblogs.com/51python/p/10870258.html）

2、eclipse代码（建立maven工程）

　　pom.xml

<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>hadoop</groupId>
  <artifactId>eclipseandmaven</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <packaging>jar</packaging>

  <name>eclipseandmaven</name>
  <url>http://maven.apache.org</url>

  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
  </properties>
  <dependencies>

    <dependency>
            <groupId>org.apache.storm</groupId>
            <artifactId>storm-kafka-client</artifactId>
            <version>1.1.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>0.10.0.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.storm</groupId>
            <artifactId>storm-core</artifactId>
            <version>1.1.1</version>
             <!--  本地测试注释集群运行打开 -->
            <!--  <scope>provided</scope>-->
        </dependency>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>3.8.1</version>
      <scope>test</scope>
    </dependency>
  </dependencies>
</project>

　 主函数

import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.StormSubmitter;
import org.apache.storm.kafka.spout.KafkaSpout;
import org.apache.storm.kafka.spout.KafkaSpoutConfig;
import org.apache.storm.topology.TopologyBuilder;

public class MainTopology {
    public static void main(String[] args) throws Exception {
        TopologyBuilder builder = new TopologyBuilder();
        KafkaSpoutConfig.Builder<String, String> kafkaBuilder = KafkaSpoutConfig.builder("127.0.0.1:9092", "test0811");
//                .builder("127.0.0.1:9092,node-2:9092,node-3:9092", "test0811");
        // 设置kafka属于哪个组
        kafkaBuilder.setGroupId("testgroup");
        // 创建kafkaspoutConfig
        KafkaSpoutConfig<String, String> build = kafkaBuilder.build();
        // 通过kafkaspoutConfig获得kafkaspout
        KafkaSpout<String, String> kafkaSpout = new KafkaSpout<String, String>(build);
        // 设置5个线程接收数据
        builder.setSpout("kafkaSpout", kafkaSpout, 5);
        // 设置2个线程处理数据
        builder.setBolt("printBolt", new PrintBolt(), 2).localOrShuffleGrouping("kafkaSpout");
        Config config = new Config();
        if (args.length > 0) {
            // 集群提交模式
            config.setDebug(false);
            StormSubmitter.submitTopology(args[0], config, builder.createTopology());
        } else {
            // 本地测试模式
            config.setDebug(true);
            // 设置2个进程
            config.setNumWorkers(2);
            LocalCluster cluster = new LocalCluster();
            cluster.submitTopology("kafkaSpout", config, builder.createTopology());
        }
    }
}

　storm输出

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 PrintBolt extends BaseBasicBolt {
    /**
     * execute会被storm一直调用
     *
     * @param tuple
     * @param basicOutputCollector
     */
    public void execute(Tuple tuple, BasicOutputCollector basicOutputCollector) {
        // 为了便于查看消息用err标红
        System.err.println(tuple.getValue(4));
        System.err.println(tuple.getValues());
    }

    public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer) {

    }
}

3、运行

　　1）启动zookeeper

zkserver

　　2）启动kafka服务（在D:\bigdata\kafka_2.11-0.9.0.1安装目录打开cmd）

.\bin\windows\kafka-server-start.bat .\config\server.properties  

　　3）创建主题（在D:\bigdata\kafka_2.11-0.9.0.1\bin\windows安装目录打开cmd）

kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test0811

　　4）创建生产者（在D:\bigdata\kafka_2.11-0.9.0.1\bin\windows安装目录打开cmd）

kafka-console-producer.bat --broker-list localhost:9092 --topic test0811 

　　5）启动主函数

　　运行eclipse主函数

结果：

　　在4中的cmd窗口输入字符串，会在eclipse中收到。

这是单机版，后面会做多机通信，敬请期待！

参考：https://blog.csdn.net/qq_41455420/article/details/79385566