storm与kafka集成

本案例storm使用1.1.1版本kafka使用2.11版本

1.创建工程并导入依赖

 <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>
    </dependencies>

2.编写主函数程序

进程数和线程数根据需要自行调整，也可以不设置默认为1

package cn.itcast.storm.kafka;

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("node-1:9092,node-2:9092,node-3:9092", "testcheng");
        //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());
        }
    }
}

3.编写kafkabolt作为消息处理

package cn.itcast.storm.kafka;

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) {

    }
}

4.测试

启动kafka模拟生产者发送消息

 bin/kafka-console-producer.sh --broker-list node-1:9092,node-2:9092,n-3:9092 --topic testcheng

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