JAVA代码中使用kafka生产者配置MD5密码的配置方法_java 读取 kafka 用户和密码

最近有一个需求，是将一些信息发送给指定的kafka（也就是咱们作为生产者）。在发送的时候，需要提供用户名和密码接收方才能成功接收。如果密码是明文，我们通常设置配置如下：

properties.put("security.protocol", "PLAINTEXT");
properties.put("sasl.mechanism", "PLAIN");
properties.put("sasl.jaas.config", "org.apache.kafka.common.security.scram.ScramLoginModule required username=\"username\" password=\"123456789\";");

但是这次我们使用的密码是为MD5加密的，所以配置改为：

properties.put("security.protocol", "SASL_PLAINTEXT");
properties.put("sasl.mechanism", "SCRAM-SHA-512");
properties.put("sasl.jaas.config", "org.apache.kafka.common.security.scram.ScramLoginModule required username=\"username\" password=\"7ed7845e45765fb75b045273e044cd21\";");

这种配置方法亲测有效，完整的kafka生产者代码如下：

public void sendKafka(String str) {
        String BROKERS = "134.108.84.210:8423,134.108.84.94:8423,134.108.85.65:8423";//公共接入点地址
        Properties properties = new Properties();
        properties.put("bootstrap.servers", BROKERS);
        properties.put("acks", "1");// -1 all ack;1 leader ack;0 none ack
        properties.put("retries", 3);
        properties.put("batch.size", 262144);
        properties.put("linger.ms", 10);
        properties.put("buffer.memory", 67108864);
        properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        properties.put("client.id", "producer-olt_" + System.currentTimeMillis());
        properties.put("group.id","zj_olt_alarm");
        properties.put("security.protocol", "SASL_PLAINTEXT");
        properties.put("sasl.mechanism", "SCRAM-SHA-512");
        properties.put("sasl.jaas.config", "org.apache.kafka.common.security.scram.ScramLoginModule required username=\"username\" password=\"7ed7845e45765fb75b045273e044cd21\";");
        //构造Producer对象，注意，该对象是线程安全的
        //一般来说，一个进程内一个Producer对象即可，如果想提高性能，可构造多个对象，但最好不要超过5个
        KafkaProducer<String, String> producer = new KafkaProducer<>(properties);
        try {
            ProducerRecord<String, String> record = new ProducerRecord<String, String>("TOPIC",str);
            producer.send(record, new Callback() {
                @Override
                public void onCompletion(RecordMetadata recordMetadata, Exception exception) {
                    if (exception != null) {
                        //todo log and retry
                        System.out.println("================================================");
                        System.out.printf("send  exception. %s%n", exception.getMessage());
                        return;
                    }
                    //todo business process...
                    System.out.println("================================================");
                    System.out.printf("send message success. topic=%s,offset=%s,partition=%d %n",
                            recordMetadata.topic(), recordMetadata.offset(), recordMetadata.partition());
                }
            });
//            System.out.println("推送成功");
        } catch (Exception e) {
            e.printStackTrace();
            logger.error("{kafka发送失败}",e);
        }
    }

以上方法提供参考，如有错误还请指出，共同进步