ProcessAllWindowFunction的Scala单元测试

import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows
import org.apache.flink.streaming.api.windowing.time.Time
import org.apache.flink.streaming.api.windowing.windows.TimeWindow
import org.apache.flink.util.Collector
import org.apache.flink.streaming.api.functions.windowing.ProcessAllWindowFunction

class MyProcessAllWindowFunction extends ProcessAllWindowFunction[InputType, OutputType, TimeWindow] {
  override def process(context: Context, elements: Iterable[InputType], out: Collector[OutputType]): Unit = {
    // 在这里编写对窗口中所有元素的处理逻辑
    // 可以使用out.collect()方法输出结果
  }
}

object MyProcessAllWindowFunctionTest {
  def main(args: Array[String]): Unit = {
    val env = StreamExecutionEnvironment.getExecutionEnvironment

    val input: DataStream[InputType] = env.fromElements(...) // 输入数据流

    val result = input
      .windowAll(TumblingProcessingTimeWindows.of(Time.seconds(5))) // 定义窗口类型和大小
      .process(new MyProcessAllWindowFunction) // 应用ProcessAllWindowFunction

    result.print()

    env.execute("ProcessAllWindowFunction Test")
  }
}