- 拦截内容在内容前加时间戳
import java.util.Map;
import org.apache.kafka.clients.producer.ProducerInterceptor;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
public class TimeInterceptor implements ProducerInterceptor<String, String> {
@Override
public void configure(Map<String, ?> configs) {
}
@Override
public ProducerRecord<String, String> onSend(ProducerRecord<String, String> record) {
// 创建一个新的record,把时间戳写入消息体的最前部
return new ProducerRecord(record.topic(), record.partition(), record.timestamp(), record.key(),
System.currentTimeMillis() + "," + record.value().toString());
}
@Override
public void onAcknowledgement(RecordMetadata metadata, Exception exception) {
}
@Override
public void close() {
}
}
- 拦截内容计数
import java.util.Map;
import org.apache.kafka.clients.producer.ProducerInterceptor;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
public class CounterInterceptor implements ProducerInterceptor<String, String>{
private int errorCounter = 0;
private int successCounter = 0;
@Override
public void configure(Map<String, ?> configs) {
}
@Override
public ProducerRecord<String, String> onSend(ProducerRecord<String, String> record) {
return record;
}
@Override
public void onAcknowledgement(RecordMetadata metadata, Exception exception) {
// 统计成功和失败的次数
if (exception == null) {
successCounter++;
} else {
errorCounter++;
}
}
@Override
public void close() {
// 保存结果
System.out.println("Successful sent: " + successCounter);
System.out.println("Failed sent: " + errorCounter);
}
}
- 主程序
import java.util.ArrayList;
import java.util.List;
import java.util.Properties;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
public class InterceptorProducer {
public static void main(String[] args) throws Exception {
// 1 设置配置信息
Properties props = new Properties();
props.put("bootstrap.servers", "hadoop01:9092");
props.put("acks", "all");
props.put("retries", 0);
props.put("batch.size", 16384);
props.put("linger.ms", 1);
props.put("buffer.memory", 33554432);
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
// 2 构建拦截链
List<String> interceptors = new ArrayList<>();
interceptors.add("TimeInterceptor"); interceptors.add("CounterInterceptor");
props.put(ProducerConfig.INTERCEPTOR_CLASSES_CONFIG, interceptors);
String topic = "first";
Producer<String, String> producer = new KafkaProducer<>(props);
// 3 发送消息
for (int i = 0; i < 10; i++) {
ProducerRecord<String, String> record = new ProducerRecord<>(topic, "message" + i);
producer.send(record);
}
// 4 一定要关闭producer,这样才会调用interceptor的close方法
producer.close();
}
}
运行结果
API端
Linux端