Hi,
We have reduceByKeyAndWindow with inverse function feature in our Streaming
job to calculate rolling counts for the past hour and for the past 24 hours.
It seems that the functionality is iterating over all the keys in the window
even though they are not present in the current batch causing th
Unfortunately the way reduceByKeyAndWindow is implemented, it does iterate
through all the counts. To have something more efficient, you may have to
implement your own windowing logic using mapWithState. Something like
eventDStream.flatmap { event =>
// find the windows each even maps to, and r