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Kafka3.0.0版本——消费者（独立消费者消费某一个主题中某个分区数据案例__订阅分区）

news 2025/8/22 9:59:43

一、独立消费者消费某一个主题中某个分区数据案例

1.1、案例需求

创建一个独立消费者，消费firstTopic主题 0 号分区的数据，所下图所示：

1.2、案例代码

生产者往firstTopic主题 0 号分区发送数据代码

package com.xz.kafka.producer;import org.apache.kafka.clients.producer.*;
import org.apache.kafka.common.serialization.StringSerializer;
import java.util.Properties;public class CustomProducerCallback {public static void main(String[] args) throws InterruptedException {//1、创建 kafka 生产者的配置对象Properties properties = new Properties();//2、给 kafka 配置对象添加配置信息：bootstrap.serversproperties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG,"192.168.136.27:9092,192.168.136.28:9092,192.168.136.29:9092");//3、指定对应的key和value的序列化类型 key.serializer value.serializerproperties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG,StringSerializer.class.getName());//4、创建 kafka 生产者对象KafkaProducer<String, String> kafkaProducer = new KafkaProducer<>(properties);//5、调用 send 方法,发送消息for (int i = 0; i < 5; i++) {kafkaProducer.send(new ProducerRecord<>("firstTopic", 0,"","hello kafka" + i), new Callback() {@Overridepublic void onCompletion(RecordMetadata metadata, Exception exception) {if (exception == null){System.out.println("主题： "+metadata.topic() + " 分区： "+ metadata.partition());}}});Thread.sleep(2);}// 3 关闭资源kafkaProducer.close();}
}

消费者消费firstTopic主题 0 分区数据代码

package com.xz.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.TopicPartition;
import org.apache.kafka.common.serialization.StringDeserializer;import java.time.Duration;
import java.util.ArrayList;
import java.util.Properties;public class CustomConsumerPartition {public static void main(String[] args) {// 配置Properties properties = new Properties();// 连接properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG,"192.168.136.27:9092,192.168.136.28:9092,192.168.136.29:9092");// 反序列化properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());// 组idproperties.put(ConsumerConfig.GROUP_ID_CONFIG,"test");// 1 创建一个消费者KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<>(properties);// 2 订阅主题对应的分区ArrayList<TopicPartition> topicPartitions = new ArrayList<>();topicPartitions.add(new TopicPartition("firstTopic",0));kafkaConsumer.assign(topicPartitions);// 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);}}}
}