Lists table specs in a dataset.

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Last Updated: Feb. 25, 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_idRequiredName of the dataset.
filter_Filter expression, see go/filtering.
page_sizeThe maximum number of resources contained in the underlying API response. If page streaming is performed per resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page.
project_idID of the Google Cloud project if None then default project_id is used.
locationRequiredThe location of the project.
retryA retry object used to retry requests. If None is specified, requests will not be retried.
timeoutThe amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadataAdditional metadata that is provided to the method.
gcp_conn_idThe connection ID to use to connect to Google Cloud.
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).


Lists table specs in a dataset.

See also

For more information on how to use this operator, take a look at the guide: Listing Table And Columns Specs

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