How to set a different retry delay for every task in an Airflow DAG

When we configure an Airflow DAG, we set the default values of various properties, for example, the retry delay. What should we do when we want to overwrite the delay in an Airflow task? What if we’re going to use a different delay in every task?

In this case, we have to include the retry_delay parameter in the constructor of Airflow operators, which delay we want to change. Every Airflow operator supports this parameter because it is defined in the BaseOperator. For the same reason, it is easy to overlook its existence because Airflow documentation does not show the parameters inherited from base classes.

Older 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

Newer post

How to get names of columns with missing values in PySpark

How to get the names of missing properties for every row in a PySpark Dataframe

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. Schedule a call or send me a message on LinkedIn

>