消息推送系统

// 生产者代码示例

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

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

public class KafkaProducerExample {

public static void main(String[] args) {

Properties props = new Properties();

props.put("bootstrap.servers", "localhost:9092");

props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");

props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");

KafkaProducer producer = new KafkaProducer<>(props);

ProducerRecord record = new ProducerRecord<>("model-training-data", "key", "value");

producer.send(record);

producer.close();

}

}

// Spark代码示例

import org.apache.spark.SparkConf;

import org.apache.spark.api.java.JavaRDD;

import org.apache.spark.api.java.JavaSparkContext;

public class SparkTrainingExample {

public static void main(String[] args) {

SparkConf conf = new SparkConf().setAppName("ModelTraining").setMaster("local[*]");

JavaSparkContext sc = new JavaSparkContext(conf);

JavaRDD data = sc.textFile("data.txt");

// 模型训练逻辑

data.foreach(x -> trainModel(x));

sc.close();

}

private static void trainModel(String data) {

// 实际训练逻辑

}

多系统单点登录

}