<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");
}
}
相关文章 https://blog.csdn.net/u012842205/article/details/73188534
相关文章https://github.com/CloudKarafka/java-kafka-example/blob/master/src/main/java/KafkaExample.java
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