在Java中,可以使用Kafka Consumer API來實(shí)現(xiàn)對(duì)Kafka消息的過濾。以下是一個(gè)簡(jiǎn)單的示例代碼:
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.serialization.StringDeserializer;
import java.util.Collections;
import java.util.Properties;
public class KafkaFilterExample {
public static void main(String[] args) {
Properties props = new Properties();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
props.put(ConsumerConfig.GROUP_ID_CONFIG, "test-group");
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
consumer.subscribe(Collections.singletonList("test-topic"));
while (true) {
ConsumerRecords<String, String> records = consumer.poll(100);
for (ConsumerRecord<String, String> record : records) {
// 在這里根據(jù)需要對(duì)消息進(jìn)行過濾
if (record.value().contains("filter")) {
System.out.println("Filtered message: " + record.value());
} else {
System.out.println("Message: " + record.value());
}
}
}
}
}
在上述示例代碼中,我們創(chuàng)建了一個(gè)KafkaConsumer并訂閱了名為test-topic
的主題。在接收到消息后,我們可以根據(jù)需要對(duì)消息進(jìn)行過濾。在這個(gè)例子中,我們簡(jiǎn)單地判斷消息的內(nèi)容是否包含關(guān)鍵字"filter",并將結(jié)果打印出來。你可以根據(jù)具體的過濾邏輯進(jìn)行調(diào)整。