Airflow macros have three variables that we can access to get the dates related to the previous DAG runs.
First, we can access the previous execution date by using the {{ prev_execution_date }}
macro. In my opinion, it has limited usage because, in general, we know how often the DAG runs and what should be the previous execution date.
A way more useful variable is the {{ prev_execution_date_success }}
, which gives us the previous successful DAG run’s execution date. We can use it to filter the data and retrieve only the values that were not available during the last successful run.
If we use the current date as a filter while retrieving the data, we may also need the {{ prev_start_date_success }}
variable, which returns the start time of the previous successful run.
Want to build AI systems that actually work?
Download my expert-crafted GenAI Transformation Guide for Data Teams and discover how to properly measure AI performance, set up guardrails, and continuously improve your AI solutions like the pros.