Hi,
yes, the input does indeed play a role. If not elements are incoming then
there will also be no window.
Cheers,
Aljoscha
On Fri, 6 May 2016 at 12:18 Balaji Rajagopalan <
balaji.rajagopa...@olacabs.com> wrote:
> I have a requirement where I want to do aggregation on one data stream
> every 5 minutes, a different data stream every 1 minute. I wrote a example
> code to test this out but the behavior is different from what I expected ,
> I expected the window2 to be called 5 times, and window 1 to called once ,
> but in a 5 minute interval the window 1 is called once and window2 is
> called only once, have I understood the windowed function incorrectly, does
> the input play a role in no of times a window apply is called. I use the nc
> command to write to the socket port 9999 and 9998.
>
>
>
> import org.apache.flink.streaming.api.TimeCharacteristic
> import org.apache.flink.streaming.api.scala._
> import org.apache.flink.streaming.api.scala.function.AllWindowFunction
> import
> org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows
> import org.apache.flink.streaming.api.windowing.time.Time
> import org.apache.flink.streaming.api.windowing.windows.{GlobalWindow,
> TimeWindow}
>
> import org.apache.flink.util.Collector
> import org.apache.flink.streaming.api.windowing.windows.Window
>
>
> object WindowWordCount {
> def main(args: Array[String]) {
>
> val env = StreamExecutionEnvironment.getExecutionEnvironment
> env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime)
> val text = env.socketTextStream("localhost", 9999)
> val text1 = env.socketTextStream("localhost", 9998)
> val stream:DataStream[String] = text.flatMap {
> _.toLowerCase.split("\\W+") filter { _.nonEmpty } }
> val count =
> stream.windowAll(TumblingEventTimeWindows.of(Time.minutes(5))).apply { new
> MyAllWindowFunction }
>
>
> count.print
>
> val counts1 = text1.flatMap { _.toLowerCase.split("\\W+") filter {
> _.nonEmpty } }
> .windowAll(TumblingEventTimeWindows.of(Time.minutes(1))).apply { new
> MyAllWindowFunction2 }
>
> counts1.print
>
> env.execute("Window Stream WordCount")
> }
>
> class MyAllWindowFunction extends
> AllWindowFunction[String,String,TimeWindow]
> {
> def apply(window : TimeWindow, input : scala.Iterable[String], out :
> org.apache.flink.util.Collector[String]): Unit =
> {
> System.out.println("timed window1 is called")
> }
> }
>
> class MyAllWindowFunction2 extends
> AllWindowFunction[String,String,TimeWindow]
> {
> def apply(window : TimeWindow, input : scala.Iterable[String], out :
> org.apache.flink.util.Collector[String]): Unit =
> {
> System.out.println("timed window2 is called")
> }
> }
> }
>
>
> The output was:
>
> timed window2 is called
> timed window1 is called
>
>
