Apache Flink计算流数据的分位数[在scala中]

import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.api.windowing.time.Time
import org.apache.flink.streaming.api.windowing.windows.TimeWindow

val env = StreamExecutionEnvironment.getExecutionEnvironment

// 创建一个包含流数据的DataStream
val dataStream: DataStream[Double] = ...

// 定义窗口大小和滑动间隔
val windowSize = Time.minutes(5)
val slideInterval = Time.minutes(1)

// 使用window函数将数据流划分为窗口，并应用Quantile算子计算分位数
val resultStream = dataStream
  .keyBy(_ => "key") // 按照固定的key进行分组
  .timeWindow(windowSize, slideInterval)
  .apply { (key: String, window: TimeWindow, input: Iterable[Double], out: Collector[Double]) =>
    val quantile = input.toList.sorted.apply(0.5) // 计算中位数
    out.collect(quantile)
  }

// 打印结果
resultStream.print()

// 执行任务
env.execute("Calculate Quantile")