实时计算 新年优惠活动

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.api.common.functions.MapFunction;

public class RealTimeProcessingExample {
    public static void main(String[] args) throws Exception {
        // 创建流处理环境
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        // 模拟数据源
        DataStream<String> dataStream = env.fromElements(
            "item1,100",
            "item2,200",
            "item3,150"
        );

        // 数据处理逻辑
        DataStream<String> resultStream = dataStream.map(new MapFunction<String, String>() {
            @Override
            public String map(String value) throws Exception {
                String[] parts = value.split(",");
                String itemName = parts[0];
                int stock = Integer.parseInt(parts[1]);
                return itemName + ": " + (stock > 100 ? "In Stock" : "Out of Stock");
            }
        });

        // 输出结果
        resultStream.print();

        // 执行任务
        env.execute("Real-Time Stock Check");
    }
}