APP不分渠道数据统计

完整代码如下：
package com.atguigu

import com.atguigu.AppMarketingByChannel.SimulatedEventSource
import org.apache.flink.streaming.api.TimeCharacteristic
import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.api.scala.function.ProcessWindowFunction
import org.apache.flink.streaming.api.windowing.time.Time
import org.apache.flink.streaming.api.windowing.windows.TimeWindow
import org.apache.flink.util.Collector

object AppMarketingStatistics {
  def main(args: Array[String]): Unit = {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment
    env.setParallelism(1)
    env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
    val stream = env
      .addSource(new SimulatedEventSource)
      .assignAscendingTimestamps(_.ts)
      .filter(_.behavior != "UNINSTALL")
      .map(r => {
        ("dummyKey", 1L)
      })
      .keyBy(_._1)
      .timeWindow(Time.seconds(5), Time.seconds(1))
      .process(new MarketingCountTotal)
    stream.print()
    env.execute()
  }

  class MarketingCountTotal
    extends ProcessWindowFunction[(String, Long),
      (String, Long, Long), String, TimeWindow] {
    override def process(key: String,
                         context: Context,
                         elements: Iterable[(String, Long)],
                         out: Collector[(String, Long, Long)]): Unit = {
      out.collect((key, elements.size, context.window.getEnd))
    }
  }
}