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  • pyflink.datastream.window.DynamicProcessingTimeSessionWindows

pyflink.datastream.window.DynamicProcessingTimeSessionWindows#

class DynamicProcessingTimeSessionWindows(session_window_time_gap_extractor: SessionWindowTimeGapExtractor)[source]#

A WindowAssigner that windows elements into sessions based on the current processing time. Windows cannot overlap.

For example, in order to window into windows with a dynamic time gap:

>>> data_stream.key_by(lambda x: x[0], key_type=Types.STRING()) \
...     .window(DynamicProcessingTimeSessionWindows.with_dynamic_gap(extractor))

Methods

assign_windows(element, timestamp, context)

get_default_trigger(env)

get_window_serializer()

is_event_time()

merge_windows(windows, callback)

Determines which windows (if any) should be merged.

with_dynamic_gap(extractor)

Creates a new SessionWindows WindowAssigner that assigns elements to sessions based on the element timestamp.

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