Kafka 消费者 Demo

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import java.util.Arrays;
import java.util.Properties;
/**
 * 主要参数:
 * 1.bootstrap.servers,group.id,key.deserializer,value.deserializer
 * 2.session.timeout.ms coordinator检测失败的时间,设置为比较小的值
 * 3. max.poll.interval.ms consumer处理逻辑最大时间
 * 4. auto.offset.reset  [earliest,lastest,none]
 * 5. enable.auto.commit 是否自动提交位移,设置为false,由用户自行提交位移
 * 6. fetch.max.bytes 指定consumer单次获取数据的最大字节数
 * 7. max.poll.records 单次调用poll的最大返回消息数,默认500
 * 8. heartbeat.interval.ms  越小越好
 * 9. connections.max.idle.ms Kafka定期关闭空闲Socket的时间
 */
public class KafkaConsumerDemo {
    public static void main(String[] args) {

        String topic = "test-topic";
        String groupId = "test-group";

        Properties properties = new Properties();
        properties.put("bootstrap.servers","localhost:9092,localhost:9093,localhost:9094");
        //必须指定有业务意义的名字
        properties.put("group.id",groupId);
        properties.put("enable.auto.commit","true");
        properties.put("auto.commit.interval.ms","1000");
        //从最早的消息开始读取
        properties.put("auto.offset.reset","earliest");
        properties.put("key.deserializer","org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("value.deserializer","org.apache.kafka.common.serialization.StringDeserializer");


        KafkaConsumer<String,String> consumer = new KafkaConsumer<String, String>(properties);
        //订阅主题,可以订阅多个主题,还可以使用正则表达式订阅主题
        //注意:多次订阅,会覆盖前面的
        consumer.subscribe(Arrays.asList(topic));

        try{
            while(true){
                //1000是超时设定,如果有定时要求,可设置,否则建议设置个比较大的值
                //通常consumer拿到足够多的数据,会立即返回,否则会阻塞
                //poll返回则认为是成功消费了消息,如果发现消费慢需要分析是poll慢还是本身业务逻辑处理慢
                ConsumerRecords<String,String> records = consumer.poll(1000);
                for(ConsumerRecord<String,String> record : records){
                    System.out.printf("offset=%d, key=%s,value= %s%n",record.offset(),record.key(),record.value());
                }
            }
        }finally {
            consumer.close();
        }
    }
}

 

posted @ 2019-12-01 21:48  天蓝隐湘  阅读(620)  评论(0编辑  收藏  举报