trigger (DataStreamWriter)

Sets the trigger for the streaming query. If not set, the query runs as fast as possible, equivalent to processingTime='0 seconds'. Only one trigger parameter can be set at a time.

For more information, see Configure Structured Streaming trigger intervals.

Syntax

trigger(*, processingTime=None, once=None, continuous=None, availableNow=None, realTime=None)

Parameters

Parameter	Type	Description
processingTime	str, optional	A processing time interval string (for example, '5 seconds', '1 minute'). Runs a microbatch query periodically based on the processing time.
once	bool, optional	If True, processes only one batch of data then terminates the query.
continuous	str, optional	A time interval string (for example, '5 seconds'). Runs a continuous query with a given checkpoint interval.
availableNow	bool, optional	If True, processes all available data in multiple batches then terminates the query.
realTime	str, optional	A batch duration string (for example, '5 seconds'). Runs a real-time mode query with batches at the specified duration.

Returns

DataStreamWriter

Examples

Python

df = spark.readStream.format("rate").load()

Trigger execution every 5 seconds:

Python

df.writeStream.trigger(processingTime='5 seconds')
# <...streaming.readwriter.DataStreamWriter object ...>

Trigger continuous execution every 5 seconds:

Python

df.writeStream.trigger(continuous='5 seconds')
# <...streaming.readwriter.DataStreamWriter object ...>

Process all available data in multiple batches:

Python

df.writeStream.trigger(availableNow=True)
# <...streaming.readwriter.DataStreamWriter object ...>

Trigger real-time execution every 5 seconds:

Python

df.writeStream.trigger(realTime='5 seconds')
# <...streaming.readwriter.DataStreamWriter object ...>