Upsert BigQuery table

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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_idRequiredA dotted (.|:) that indicates which dataset will be updated. (templated)
table_resourceRequireda table resource. see
project_idThe name of the project where we want to update the dataset. Don’t need to provide, if projectId in dataset_reference.
gcp_conn_id(Optional) The connection ID used to connect to Google Cloud.
delegate_toThe account to impersonate, if any. For this to work, the service account making the request must have domain-wide delegation enabled.
locationThe location used for the operation.
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).


Upsert BigQuery table

See also

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

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