Lists column specs in a table.

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Last Updated: Jan. 11, 2021

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_idstrName of the dataset.
table_spec_idstrtable_spec_id for path builder.
field_maskUnion[dict,]Mask specifying which fields to read. If a dict is provided, it must be of the same form as the protobuf message
filter_strFilter expression, see go/filtering.
page_sizeintThe 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_idstrID of the Google Cloud project where dataset is located if None then default project_id is used.
locationstrThe location of the project.
retryOptional[google.api_core.retry.Retry]A retry object used to retry requests. If None is specified, requests will not be retried.
timeoutOptional[float]The 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.
metadataOptional[Sequence[Tuple[str, str]]]Additional metadata that is provided to the method.
gcp_conn_idstrThe connection ID to use to connect to Google Cloud.
impersonation_chainUnion[str, Sequence[str]]Optional 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 column specs in a table.

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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