CloudDLPUpdateDeidentifyTemplateOperator

Google

Updates the DeidentifyTemplate.

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Last Updated: Nov. 3, 2020

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

template_idstrThe ID of deidentify template to be updated.
organization_idstr(Optional) The organization ID. Required to set this field if parent resource is an organization.
project_idstr(Optional) Google Cloud project ID where the DLP Instance exists. Only set this field if the parent resource is a project instead of an organization.
deidentify_templatedict or google.cloud.dlp_v2.types.DeidentifyTemplateNew DeidentifyTemplate value.
update_maskdict or google.cloud.dlp_v2.types.FieldMaskMask to control which fields get updated.
retrygoogle.api_core.retry.Retry(Optional) A retry object used to retry requests. If None is specified, requests will not be retried.
timeoutfloat(Optional) 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.
metadatasequence[tuple[str, str]]](Optional) Additional metadata that is provided to the method.
gcp_conn_idstr(Optional) The connection ID used 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).

Documentation

Updates the DeidentifyTemplate.

See also

For more information on how to use this operator, take a look at the guide: De-Identification Template

Example DAGs

Improve this module by creating an example DAG.

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  1. Add an `example_dags` directory to the top-level source of the provider package with an empty `__init__.py` file.
  2. Add your DAG to this directory. Be sure to include a well-written and descriptive docstring
  3. Create a pull request against the source code. Once the package gets released, your DAG will show up on the Registry.

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