pyspark.sql.streaming.DataStreamWriter.trigger

DataStreamWriter.trigger(*, processingTime: Optional[str] = None, once: Optional[bool] = None, continuous: Optional[str] = None, availableNow: Optional[bool] = None)pyspark.sql.streaming.DataStreamWriter[source]

Set the trigger for the stream query. If this is not set it will run the query as fast as possible, which is equivalent to setting the trigger to processingTime='0 seconds'.

New in version 2.0.0.

Parameters
processingTimestr, optional

a processing time interval as a string, e.g. ‘5 seconds’, ‘1 minute’. Set a trigger that runs a microbatch query periodically based on the processing time. Only one trigger can be set.

oncebool, optional

if set to True, set a trigger that processes only one batch of data in a streaming query then terminates the query. Only one trigger can be set.

continuousstr, optional

a time interval as a string, e.g. ‘5 seconds’, ‘1 minute’. Set a trigger that runs a continuous query with a given checkpoint interval. Only one trigger can be set.

availableNowbool, optional

if set to True, set a trigger that processes all available data in multiple batches then terminates the query. Only one trigger can be set.

Notes

This API is evolving.

Examples

>>> # trigger the query for execution every 5 seconds
>>> writer = sdf.writeStream.trigger(processingTime='5 seconds')
>>> # trigger the query for just once batch of data
>>> writer = sdf.writeStream.trigger(once=True)
>>> # trigger the query for execution every 5 seconds
>>> writer = sdf.writeStream.trigger(continuous='5 seconds')
>>> # trigger the query for reading all available data with multiple batches
>>> writer = sdf.writeStream.trigger(availableNow=True)