双12实时计算 选购

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();

        // 从Kafka读取数据流
        DataStream<String> stream = env.addSource(new FlinkKafkaConsumer<>("input-topic", new SimpleStringSchema(), properties));

        // 数据处理逻辑
        DataStream<Integer> counts = stream.map(new MapFunction<String, Integer>() {
            @Override
            public Integer map(String value) {
                return value.length();
            }
        });

        // 输出结果到控制台
        counts.print();

        // 执行任务
        env.execute("Real-time Data Processing Job");
    }
}