Interact with AWS. This class is a thin wrapper around the boto3 python library.

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Last Updated: Jun. 22, 2022

Access Instructions

Install the Amazon provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.


aws_conn_idThe Airflow connection used for AWS credentials. If this is None or empty then the default boto3 behaviour is used. If running Airflow in a distributed manner and aws_conn_id is None or empty, then default boto3 configuration would be used (and must be maintained on each worker node).
verifyWhether or not to verify SSL certificates. https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html
region_nameAWS region_name. If not specified then the default boto3 behaviour is used.
client_typeboto3.client client_type. Eg ‘s3’, ‘emr’ etc
resource_typeboto3.resource resource_type. Eg ‘dynamodb’ etc
configConfiguration for botocore client. (https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html)


Interact with Amazon QuickSight.

Additional arguments (such as aws_conn_id) may be specified and are passed down to the underlying AwsBaseHook. .. seealso:: AwsBaseHook

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