如何在Kafka主题中仅消费最新偏移量

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.TopicPartition;

import java.util.Collections;
import java.util.Properties;

public class KafkaConsumerExample {
    private static final String TOPIC_NAME = "your_topic_name";
    private static final String BOOTSTRAP_SERVERS = "your_bootstrap_servers";

    public static void main(String[] args) {
        Properties props = new Properties();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
        props.put(ConsumerConfig.GROUP_ID_CONFIG, "your_consumer_group_id");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");

        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);

        // 订阅主题
        consumer.subscribe(Collections.singletonList(TOPIC_NAME));

        // 获取分区
        TopicPartition topicPartition = new TopicPartition(TOPIC_NAME, 0);

        // 获取最新偏移量
        consumer.seekToEnd(Collections.singletonList(topicPartition));
        long latestOffset = consumer.position(topicPartition);

        // 设置偏移量为最新
        consumer.seek(topicPartition, latestOffset);

        // 消费消息
        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(100);
            for (ConsumerRecord<String, String> record : records) {
                System.out.println("Received message: " + record.value());
            }
        }
    }
}