How to trigger Airflow DAG

In Airflow, a DAG –Directed Acyclic Graph – is a collection of all the tasks you want to run, organized in a way that reflects their relationships and dependencies.

A DAG is defined in a Python script, which represents the DAGs structure (tasks and their dependencies) as code.

How to run DAG in Airflow?

Manual Trigger

1.Log onto the Punjab Prod server using the credentials:

URL:https://airflow.mseva-qa.lgpunjab.gov.in/login/?next=http%3A%2F%2Fairflow.mseva-qa.lgpunjab.gov.in%2Fhome

    username : admin

    password :  admin

2.Trigger the DAG by clicking on the “Trigger DAG with Config” option.

3.Enter date and click on Trigger button

Format {“date” : “dd-MM-yyyy”}

4.The Logs can be viewed by expanding on the DAG and choosing a stage for any module and 

Clicking on the Log option.

Scheduled DAG

This DAG would trigger midnight everyday for the previous day

Configure the Airflow variables

Configure the connections