Get the date of the previous successful DAG run in Airflow.

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.

Older post

How to prevent Airflow from backfilling old DAG runs

How to disable backfilling of an Airflow DAG or skip a part of the DAG during a backfill

Newer post

How to find the Hive partition closest to a given date

How to use Airflow to find the Hive partition closest to a given date

Are you looking for an experienced AI consultant? Do you need assistance with your RAG or Agentic Workflow?
Schedule a call, send me a message on LinkedIn, or use the chat button in the right-bottom corner. Schedule a call or send me a message on LinkedIn