pyspark.streaming.DStream.countByValueAndWindow

DStream.countByValueAndWindow(windowDuration: int, slideDuration: int, numPartitions: Optional[int] = None) → pyspark.streaming.dstream.DStream[Tuple[T, int]]

Return a new DStream in which each RDD contains the count of distinct elements in RDDs in a sliding window over this DStream.

Parameters

windowDurationint

width of the window; must be a multiple of this DStream’s batching interval

slideDurationint

sliding interval of the window (i.e., the interval after which the new DStream will generate RDDs); must be a multiple of this DStream’s batching interval

numPartitionsint, optional

number of partitions of each RDD in the new DStream.

pyspark.streaming.DStream.countByValue pyspark.streaming.DStream.countByWindow