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  • pyflink.table.window.SessionWithGap.on

pyflink.table.window.SessionWithGap.on#

SessionWithGap.on(time_field: Expression) → SessionWithGapOnTime[source]#

Specifies the time attribute on which rows are grouped.

For streaming tables you can specify grouping by a event-time or processing-time attribute.

For batch tables you can specify grouping on a timestamp or long attribute.

Parameters:

time_field – Time attribute for streaming and batch tables.

Returns:

A tumbling window on event-time.

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