Updates a single Data Fusion instance.

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Last Updated: May. 7, 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.


instance_namestrThe name of the instance to create.
instanceDict[str, Any]An instance of Instance.
update_maskstrField mask is used to specify the fields that the update will overwrite in an instance resource. The fields specified in the updateMask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask, all the supported fields (labels and options currently) will be overwritten. A comma-separated list of fully qualified names of fields. Example: "user.displayName,photo".
locationstrThe Cloud Data Fusion location in which to handle the request.
project_idstrThe ID of the Google Cloud project that the instance belongs to.
api_versionstrThe version of the api that will be requested for example 'v3'.
gcp_conn_idstrThe connection ID to use when fetching connection info.
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).


Updates a single Data Fusion instance.

See also

For more information on how to use this operator, take a look at the guide: Update DataFusion Instance

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