pyflink.datastream.window.DynamicEventTimeSessionWindows#
- class DynamicEventTimeSessionWindows(session_window_time_gap_extractor: pyflink.datastream.window.SessionWindowTimeGapExtractor)[source]#
A
WindowAssigner
that windows elements into sessions based on the timestamp of the elements. 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(DynamicEventTimeSessionWindows.with_dynamic_gap(extractor))
Methods
assign_windows
(element, timestamp, context)- param element
The element to which windows should be assigned.
get_default_trigger
(env)- param env
The StreamExecutionEnvironment used to compile the DataStream job.
get_window_serializer
()- return
A TypeSerializer for serializing windows that are assigned by this WindowAssigner.
is_event_time
()- return
True if elements are assigned to windows based on event time, false otherwise.
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.