Triggering streaming query executions
Triggers are a way in which we define events that will lead to an operation being executed on a portion of data, so they handle the timing of streaming data processing. These triggers are defined by intervals of time in which the system checks if new data has arrived. If this interval of time is too small this will lead to unnecessary use of resources, so it should always be an amount of time customized according to your specific process.
The parameters of the triggers of the streaming queries will define if this query is to be executed as a micro-batch query on a fixed batch interval or as a continuous processing query.
Different kinds of triggers
There are different kinds of triggers available in Azure Databricks that we can use to define when our streaming queries will be executed. The available options are outlined here:
