pyflink.datastream.window.ProcessingTimeSessionWindows

class ProcessingTimeSessionWindows(session_gap: int)

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

For example, the processing interval is set to 1 minutes:

>>> data_stream.key_by(lambda x: x[0], key_type=Types.STRING()) \
...     .window(ProcessingTimeSessionWindows.with_gap(Time.minutes(1)))

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