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?

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

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

Clicking on the Log option.

Configure the Airflow variables

Configure the connections