当出现反序列化异常时，如何捕获ConsumerRecord的值？

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.common.serialization.Deserializer;

public class CustomDeserializer implements Deserializer<String> {

    @Override
    public String deserialize(String topic, byte[] data) {
        try {
            // 执行反序列化操作
            return new String(data, "UTF-8");
        } catch (Exception e) {
            // 捕获反序列化异常
            System.err.println("反序列化异常：" + e.getMessage());
            // 记录日志或执行其他逻辑
            return null;
        }
    }
}

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

public class ConsumerExample {

    public static void main(String[] args) {
        Properties props = new Properties();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "kafka-broker1:9092");
        props.put(ConsumerConfig.GROUP_ID_CONFIG, "my-group");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "com.example.CustomDeserializer");

        Consumer<String, String> consumer = new KafkaConsumer<>(props);
        consumer.subscribe(Collections.singletonList("my-topic"));

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