This operator retrieves the list of tables in the specified dataset.

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Last Updated: Mar. 16, 2023

Access Instructions

Install the Google provider package into your Airflow environment.

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


dataset_idRequiredthe dataset ID of the requested dataset.
project_id(Optional) the project of the requested dataset. If None, self.project_id will be used.
max_results(Optional) the maximum number of tables to return.
gcp_conn_id(Optional) The connection ID used to connect to Google Cloud.
delegate_toThe account to impersonate using domain-wide delegation of authority, if any. For this to work, the service account making the request must have domain-wide delegation enabled.
impersonation_chainOptional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).


This operator retrieves the list of tables in the specified dataset.

See also

For more information on how to use this operator, take a look at the guide: List tables in dataset

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