日时间间隔的常量无效: org.apache.flink.table.api.ApiExpression

import org.apache.flink.streaming.api.windowing.time.Time;

DataStream<Tuple2<String, Integer>> input = ...;

input
    .keyBy(0)
    .timeWindow(Time.days(1)) // 正确的日时间间隔表达式
    .sum(1);

<!-- 在pom.xml中指定Flink版本 -->
<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-java</artifactId>
    <version>1.14.0</version> <!-- 确保使用兼容的版本 -->
</dependency>

// 错误的示例
input
    .keyBy(0)
    .timeWindow(Time.days("1")) // 错误的时间间隔表达式
    .sum(1);

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.windowing.time.Time;

public class TimeIntervalExample {
    public static void main(String[] args) throws Exception {
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        DataStream<String> text = env.socketTextStream("localhost", 9999);

        DataStream<Tuple2<String, Integer>> counts = text
            .map(new MapFunction<String, Tuple2<String, Integer>>() {
                @Override
                public Tuple2<String, Integer> map(String value) {
                    return new Tuple2<>(value, 1);
                }
            })
            .keyBy(0)
            .timeWindow(Time.days(1)) // 使用正确的日时间间隔常量
            .sum(1);

        counts.print();

        env.execute("Flink TimeInterval Example");
    }
}