BigQueryPatchDatasetOperator

Google

This operator is used to patch dataset for your Project in BigQuery. It only replaces fields that are provided in the submitted dataset resource.

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Last Updated: May. 4, 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.

Parameters

dataset_idstrThe id of dataset. Don't need to provide, if datasetId in dataset_reference.
dataset_resourcedictDataset resource that will be provided with request body. https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource
project_idstrThe name of the project where we want to create the dataset. Don't need to provide, if projectId in dataset_reference.
gcp_conn_idstr(Optional) The connection ID used to connect to Google Cloud.
delegate_tostrThe 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_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).

Documentation

This operator is used to patch dataset for your Project in BigQuery. It only replaces fields that are provided in the submitted dataset resource.

See also

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

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