Packages

class OnWindowedStream[T, K, W <: Window] extends AnyRef

Wraps a joined data stream, allowing to use anonymous partial functions to perform extraction of items in a tuple, case class instance or collection

T

The type of the data stream items from the right input of the join

K

The type of key

W

The type of the window

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Instance Constructors

  1. new OnWindowedStream(stream: WindowedStream[T, K, W])

    stream

    The wrapped data stream

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  1. final def !=(arg0: Any): Boolean
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  13. final def notifyAll(): Unit
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  14. def reduceWith(function: (T, T) ⇒ T): DataStream[T]

    Applies a reduce function to the window.

    Applies a reduce function to the window. The window function is called for each evaluation of the window for each key individually. The output of the reduce function is interpreted as a regular non-windowed stream.

    This window will try and pre-aggregate data as much as the window policies permit. For example,tumbling time windows can perfectly pre-aggregate the data, meaning that only one element per key is stored. Sliding time windows will pre-aggregate on the granularity of the slide interval, so a few elements are stored per key (one per slide interval). Custom windows may not be able to pre-aggregate, or may need to store extra values in an aggregation tree.

    function

    The reduce function.

    returns

    The data stream that is the result of applying the reduce function to the window.

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  15. final def synchronized[T0](arg0: ⇒ T0): T0
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  1. def finalize(): Unit
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