是否有Kafka API可以删除/检索在日期范围之前未收到任何新消息的主题？

import org.apache.kafka.clients.admin.AdminClient;
import org.apache.kafka.clients.admin.AdminClientConfig;
import org.apache.kafka.clients.admin.DeleteTopicsResult;
import org.apache.kafka.clients.admin.NewTopic;

import java.util.Collections;
import java.util.Properties;
import java.util.concurrent.ExecutionException;

public class KafkaTopicDeletionExample {
    public static void main(String[] args) {
        // 设置Kafka集群的地址
        Properties properties = new Properties();
        properties.put(AdminClientConfig.BOOTSTRAP_SERVERS_CONFIG, "kafka-broker1:9092,kafka-broker2:9092");

        // 创建AdminClient对象
        AdminClient adminClient = AdminClient.create(properties);

        // 指定要删除的主题
        String topicName = "my-topic";

        // 创建要删除的主题对象
        NewTopic topic = new NewTopic(topicName, 1, (short) 1);

        // 删除主题
        DeleteTopicsResult result = adminClient.deleteTopics(Collections.singleton(topicName));
        try {
            result.all().get();
            System.out.println("Topic deleted successfully");
        } catch (InterruptedException | ExecutionException e) {
            e.printStackTrace();
        } finally {
            adminClient.close();
        }
    }
}

import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.time.Duration;
import java.time.Instant;
import java.util.Collections;
import java.util.Properties;

public class KafkaTopicMessageRetrievalExample {
    public static void main(String[] args) {
        // 设置Kafka集群的地址
        Properties properties = new Properties();
        properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "kafka-broker1:9092,kafka-broker2:9092");
        properties.put(ConsumerConfig.GROUP_ID_CONFIG, "my-consumer-group");
        properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());

        // 创建Consumer对象
        Consumer<String, String> consumer = new KafkaConsumer<>(properties);

        // 指定要消费的主题
        String topicName = "my-topic";
        TopicPartition topicPartition = new TopicPartition(topicName, 0);

        // 从最早的消息开始消费
        consumer.assign(Collections.singleton(topicPartition));
        consumer.seekToBeginning(Collections.singleton(topicPartition));

        // 消费消息并判断时间戳是否在指定的日期范围内
        Instant startDate = Instant.parse("2022-01-01T00:00:00Z");
        Instant endDate = Instant.parse("2022-01-31T23:59:59Z");
        boolean foundMessages = false;

        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(100));
            if (records.isEmpty()) {
                break;
            }

            for (ConsumerRecord<String, String> record : records) {
                Instant timestamp = Instant.ofEpochMilli(record.timestamp());

                if (timestamp.isBefore(startDate)) {
                    // 在指定日期范围之前的消息
                    System.out.println("Message before start date: " + record.value());
                } else if (timestamp.isAfter(endDate)) {
                    // 在指定日期范围之后的消息
                    System.out.println("Message after end date: " + record.value());
                } else {
                    // 在指定日期范围内的消息
                    System.out.println("Message within date range: " + record.value());
                    foundMessages = true;
                }
            }
        }

        if (!foundMessages) {
            System.out.println("No messages found within the specified date range");
        }

        consumer.close();
    }
}