要实现并发消息监听容器的主题分区分布，可以使用Kafka的消费者组来实现。下面是一个使用Java代码示例来实现的解决方法：

1. 创建Kafka消费者：

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.Arrays;
import java.util.Properties;

public class KafkaConsumerExample {
    private static final String TOPIC_NAME = "my-topic";
    private static final String BOOTSTRAP_SERVERS = "localhost:9092";
    private static final String GROUP_ID = "my-consumer-group";

    public static void main(String[] args) {
        Properties props = new Properties();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
        props.put(ConsumerConfig.GROUP_ID_CONFIG, 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 consumer = new KafkaConsumer<>(props);
        consumer.subscribe(Arrays.asList(TOPIC_NAME));

        while (true) {
            ConsumerRecords records = consumer.poll(1000);
            for (ConsumerRecord record : records) {
                // 处理消息
                System.out.printf("Received message: topic = %s, partition = %d, offset = %d, key = %s, value = %s%n",
                        record.topic(), record.partition(), record.offset(), record.key(), record.value());
            }
        }
    }
}

2. 设置主题的分区分布：

要实现主题的分区分布，可以使用assign()方法来手动分配主题的分区给消费者。下面是一个示例代码：

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.*;

public class KafkaConsumerExample {
    private static final String TOPIC_NAME = "my-topic";
    private static final String BOOTSTRAP_SERVERS = "localhost:9092";
    private static final String GROUP_ID = "my-consumer-group";

    public static void main(String[] args) {
        Properties props = new Properties();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
        props.put(ConsumerConfig.GROUP_ID_CONFIG, 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 consumer = new KafkaConsumer<>(props);

        // 手动分配主题的分区
        List partitions = new ArrayList<>();
        partitions.add(new TopicPartition(TOPIC_NAME, 0));
        partitions.add(new TopicPartition(TOPIC_NAME, 1));
        partitions.add(new TopicPartition(TOPIC_NAME, 2));
        consumer.assign(partitions);

        while (true) {
            ConsumerRecords records = consumer.poll(1000);
            for (ConsumerRecord record : records) {
                // 处理消息
                System.out.printf("Received message: topic = %s, partition = %d, offset = %d, key = %s, value = %s%n",
                        record.topic(), record.partition(), record.offset(), record.key(), record.value());
            }
        }
    }
}

在上面的示例中，我们手动分配了主题my-topic的0、1、2三个分区给消费者。你可以根据自己的需求来设置分区的数量和分配策略。