java往有账号密码验证的Kafka生产数据

<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
    <version>1.1.0</version>
</dependency>

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;

import java.util.Optional;
import java.util.Properties;

public class KafkaUtils {
    public static void kafkaProducer(String topic, String username, String password) {
        String jaasTemplate = "org.apache.kafka.common.security.scram.ScramLoginModule required username=\"%s\" password=\"%s\";";
        String jaasCfg = String.format(jaasTemplate, username, password);

        Properties props = new Properties();
        props.put("security.protocol","SASL_PLAINTEXT");
        props.put("sasl.mechanism","SCRAM-SHA-256");
        props.put("sasl.jaas.config", jaasCfg);
        props.put("bootstrap.servers",
                "10.221.124.13:9092,10.221.124.14:9092,10.221.124.15:9092");//该地址是集群的子集，用来探测集群。
        props.put("acks", "all");// 记录完整提交，最慢的但是最大可能的持久化
        props.put("retries", 3);// 请求失败重试的次数
        props.put("batch.size", 16384);// batch的大小
        props.put("linger.ms", 1);// 默认情况即使缓冲区有剩余的空间，也会立即发送请求，设置一段时间用来等待从而将缓冲区填的更多，单位为毫秒，producer发送数据会延迟1ms，可以减少发送到kafka服务器的请求数据
        props.put("buffer.memory", 33554432);// 提供给生产者缓冲内存总量
        props.put("key.serializer",
                "org.apache.kafka.common.serialization.StringSerializer");// 序列化的方式
        props.put("value.serializer",
                "org.apache.kafka.common.serialization.StringSerializer");

        KafkaProducer<String,String> kafkaProducer = null;
        try {
            kafkaProducer = new KafkaProducer<>(props);
            kafkaProducer.send(new ProducerRecord<String, String>(topic, "1", "1"));
            System.out.println("发送成功");
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            Optional.ofNullable(kafkaProducer).ifPresent(KafkaProducer::close);
        }
    }

    public static void main(String[] args) {
        kafkaProducer("topic","username","password");
    }
}