Updates 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.


datasetRequiredThe dataset which replaces the resource on the server. If a dict is provided, it must be of the same form as the protobuf message Dataset.
update_maskThe update mask applies to the resource. If a dict is provided, it must be of the same form as the protobuf message FieldMask.
locationRequiredThe location of the project.
paramsAdditional domain-specific parameters for the predictions.
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).


Updates a dataset.

See also

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

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