Java Kafka 代码示例:生产者和消费者
以下是一个简单的 Java 代码示例,用于生产和消费 Kafka 消息:
生产者:
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import java.util.Properties;
public class KafkaProducerExample {
public static void main(String[] args) throws Exception{
String topicName = 'test-topic';
String key = 'sample-key';
String value = 'sample-value';
Properties props = new Properties();
props.put('bootstrap.servers', 'localhost:9092');
props.put('key.serializer','org.apache.kafka.common.serialization.StringSerializer');
props.put('value.serializer', 'org.apache.kafka.common.serialization.StringSerializer');
Producer<String, String> producer = new KafkaProducer<>(props);
ProducerRecord<String, String> record = new ProducerRecord<>(topicName,key,value);
producer.send(record);
producer.close();
}
}
消费者:
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;
import java.time.Duration;
import java.util.Collections;
import java.util.Properties;
public class KafkaConsumerExample {
public static void main(String[] args) throws Exception {
String topicName = 'test-topic';
String groupName = 'test-group';
Properties props = new Properties();
props.put('bootstrap.servers', 'localhost:9092');
props.put('group.id', groupName);
props.put('key.deserializer', StringDeserializer.class.getName());
props.put('value.deserializer', StringDeserializer.class.getName());
Consumer<String, String> consumer = new KafkaConsumer<>(props);
consumer.subscribe(Collections.singletonList(topicName));
while (true) {
ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(100));
records.forEach(record -> {
System.out.printf('offset = %d, key = %s, value = %s%n', record.offset(), record.key(), record.value());
});
}
}
}
这个例子使用 Kafka 的 Java 客户端 API,生产一个包含 'sample-key' 和 'sample-value' 的消息,并将其发送到名为 'test-topic' 的主题中。然后,消费者订阅此主题并从中接收消息。在消费者中,我们使用了一个无限循环,不断从 Kafka 主题中拉取消息。当收到消息时,我们只是简单地打印它们的偏移量,键和值。
原文地址: https://www.cveoy.top/t/topic/nVZp 著作权归作者所有。请勿转载和采集!