Creates a new job to inspect storage or calculate risk metrics.

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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.


project_id(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.
inspect_job(Optional) The configuration for the inspect job.
risk_job(Optional) The configuration for the risk job.
job_id(Optional) The job ID.
retry(Optional) A retry object used to retry requests. If None is specified, requests will not be retried.
timeout(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.
metadata(Optional) Additional metadata that is provided to the method.
wait_until_finished(Optional) If true, it will keep polling the job state until it is set to DONE.
gcp_conn_id(Optional) The connection ID used 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).


Creates a new job to inspect storage or calculate risk metrics.

See also

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

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