Kafka：设置消费者自动提交offset和时间间隔

绝地灬酷狼 2024-03-25 22:49 118阅读 0赞

package com.atguigu.kafka.consumer;
    
    import org.apache.kafka.clients.consumer.ConsumerConfig;
    import org.apache.kafka.clients.consumer.ConsumerRecord;
    import org.apache.kafka.clients.consumer.ConsumerRecords;
    import org.apache.kafka.clients.consumer.KafkaConsumer;
    import org.apache.kafka.common.serialization.StringDeserializer;
    
    import java.time.Duration;
    import java.util.ArrayList;
    import java.util.Properties;
    
    public class CustomConsumerAutoOffset {
    
        public static void main(String[] args) {
    
            // 0 配置
            Properties properties = new Properties();
    
            // 连接 bootstrap.servers
            properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG,"192.168.25.129:9092,192.168.25.129:9092");
    
            // 反序列化
            properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
            properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
    
            // 配置消费者组id
            properties.put(ConsumerConfig.GROUP_ID_CONFIG,"test");
    
            // 自动提交 默认为ture
            properties.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,true);
    
            // 提交时间间隔 单位ms
            properties.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG,1000);
    
            // 1 创建一个消费者 
            // KafkaConsumer<K, V> 
            // 由于消息形式是 key value 为 "", "hello"
            // 所以泛型K为key为String类型 泛型V为传递消息的类型，此处发送字符串用String类型
            KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<>(properties);
    
            // 2 订阅主题 test
            ArrayList<String> topics = new ArrayList<>();
            topics.add("test");
            kafkaConsumer.subscribe(topics);
    
            // 3 消费数据
            while (true){
    
                ConsumerRecords<String, String> consumerRecords = kafkaConsumer.poll(Duration.ofSeconds(1));
    
                for (ConsumerRecord<String, String> consumerRecord : consumerRecords) {
                    System.out.println(consumerRecord);
                }
            }
        }
    }