kafka-java消费者与生产者代码示例

引入依赖

        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.11</artifactId>
        </dependency>

消费者示例ConsumerMain.java

import java.util.ArrayList;
import java.util.List;
import java.util.Properties;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;

public class ConsumerMain {
    
    public final static String TOPIC = "product_logs_test";

    public static void main(String[] args) {
        Properties props = new Properties();
        //集群地址，多个地址用"，"分隔
        props.put("bootstrap.servers", "masterx1:9092,masterx2:9092,masterx3:9092");
        //设置消费者的group id
        props.put("group.id", "group_test");
        //如果为真，consumer所消费消息的offset将会自动的同步到zookeeper。如果消费者死掉时，由新的consumer使用继续接替
        props.put("enable.auto.commit", "true");
        //consumer向zookeeper提交offset的频率
        props.put("auto.commit.interval.ms", "1000");
        props.put("session.timeout.ms", "30000");
        //反序列化
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
        List<String> topics = new ArrayList<>();
        topics.add(TOPIC);
        consumer.subscribe(topics);
        while(true) {
            ConsumerRecords<String,String> consumerRecords = consumer.poll(100);
            for(ConsumerRecord<String,String> consumerRecord : consumerRecords){
                try {
                    String topic = consumerRecord.topic();
                    System.out.println(topic);
                } catch (Exception e) {
                    e.printStackTrace();
                }
            }
        }
        
    }
}

生产者示例ProviderMain.java

import java.util.Properties;
import java.util.concurrent.Future;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;

import net.sf.json.JSONObject;

public class ProviderMain {

    public final static String TOPIC = "product_logs_test";
    
    public static void main(String[] args) {
        try {
            Properties props = new Properties();
            //集群地址，多个地址用"，"分隔
            props.put("bootstrap.servers", "masterx1:9092,masterx2:9092,masterx3:9092");
            props.put("session.timeout.ms", "30000");
            //序列化
            props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
            props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
            
            KafkaProducer<String, String> producer = new KafkaProducer<>(props);
            JSONObject data = new JSONObject();
            data.put("name", "TheoryDance");
            data.put("fromWhere", "ProductLogTest");
            data.put("time", "2020-04-16 16:12:00");
            
            ProducerRecord<String, String> record = new ProducerRecord<>(TOPIC, data.toString());
            Future<RecordMetadata> future = producer.send(record);
            System.out.println(future.get());
            producer.close();
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

}

 如果需要通过logstash进行消费，示例logstash-kafka.conf，各种写法，参考logstash的官方文档

input{
    kafka {
        topics => ["product_logs_test"]
        bootstrap_servers => "192.168.1.xxx:9092"
        codec => "json"
        group_id => "group_test"
    }
}

filter {

}

output {
    elasticsearch {
        hosts => ["https://192.168.1.xx1:9200","https://192.168.1.xx2:9200","https://192.168.1.xx3:9200"]
        index => "product_logs_test"
        user => "your_passport"
        password => "your_pwd"
        cacert => "/usr/xxxx.../CloudSearchService.cer"使用华为云CSS的证数
    }
}

示例logstash-simple.conf

input{
    file {
        path => "/data/tmp/*"
        type => "file"
        codec => "json"
        start_position => "beginning"
    }
}

filter {

}

output {
    elasticsearch {
        hosts => ["https://192.168.1.xx1:9200","https://192.168.1.xx2:9200","https://192.168.1.xx3:9200"]
        index => "product_logs_file"
        user => "your_passport"
        password => "your_pwd"
        cacert => "/usr/xxxx.../CloudSearchService.cer"使用华为云CSS的证数
　　}
}