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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:
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Clicking on the Log option.
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Configure the Airflow variables
Key | Value |
|---|---|
password | eGov@123 |
username | SYSTEMSU3 |
token | ZWdvdi11c2VyLWNsaWVudDo= |
tenantid | pg |
usertype | SYSYTEM |
totalulb_url | https://raw.githubusercontent.com/egovernments/punjab-mdms-data/master/data/pb/tenant/tenants.json |
Configure the connections
ConnectionId | Connection Type | Host | Port | Schema | Remark |
es_conn | ElasticSearch | elasticsearch-data-v1.es-cluster | 9200 | For the ES server | |
digit-auth | HTTP | https | For the auth api conenction |
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