CloudDLPUpdateJobTriggerOperator

Google

Updates a job trigger.

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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

job_trigger_idstrThe ID of the DLP job trigger to be updated.
project_idstr(Optional) Google Cloud project ID where the DLP Instance exists. If set to None or missing, the default project_id from the Google Cloud connection is used.
job_triggerdict or google.cloud.dlp_v2.types.JobTriggerNew JobTrigger 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 a job trigger.

See also

For more information on how to use this operator, take a look at the guide: Updating Job Trigger

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