同步发送的意思就是,一条消息发送之后,会阻塞当前线程,直至返回ack。<br />由于send方法返回的是一个Future对象,根据Futrue对象的特点,我们也可以实现同步发送的效果,只需在调用Future对象的get方发即可。
package com.producer;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;import java.util.concurrent.ExecutionException;public class CustomProducer3 { public static void main(String[] args) throws ExecutionException, InterruptedException { Properties props = new Properties(); props.put("bootstrap.servers", "zjj101:9092");//kafka集群,broker-list props.put("acks", "all"); props.put("retries", 1);//重试次数 props.put("batch.size", 16384);//批次大小 props.put("linger.ms", 1);//等待时间 props.put("buffer.memory", 33554432);//RecordAccumulator缓冲区大小 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); for (int i = 0; i < 100; i++) { //调用了get方法,就相当于同步了,这样就是发送一条等一条的结果,就是同步了 RecordMetadata first = producer.send(new ProducerRecord<String, String>("first", Integer.toString(i), Integer.toString(i))).get(); System.out.println(first); } producer.close(); }}