Update Data Policy
bigquery_data_policy.update_data_policy
ActionGoogle Cloudconnection required
Calls bigquerydatapolicy v2 PATCH /v2/projects/{projectsId}/locations/{locationsId}/dataPolicies/{dataPoliciesId}.
Updates the metadata for an existing data policy.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- OAuth 2.0
- Providers
- Google BigQuery Data Policy
- Secret shape
- {"client_id", "client_secret", "refresh_token"}
- Config it needs
- project_id, location
- Resolved by
- config.connection_id, else node.connection_id
Configuration
3 fields, 2 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
location Location or region; taken from the connection when unset. | string | No | — | — | — |
data_policy Data policy name or id. | string | Yes | — | — | — |
body The DataPolicy resource, as the API defines it. | object | Yes | — | — | — |
Output
One shape.
result
Extra keys beyond the ones listed can appear.
| Field | Type | Example |
|---|---|---|
dataGovernanceTag | object | — |
dataMaskingPolicy | object | — |
dataPolicyId | string | — |
dataPolicyType | string | — |
etag | string | — |
grantees | array | — |
name | string | — |
policyTag | string | — |
version | string | — |
{
"dataGovernanceTag": {},
"dataMaskingPolicy": {},
"dataPolicyId": "",
"dataPolicyType": "",
"etag": "",
"grantees": [],
"name": "",
"policyTag": "",
"version": ""
}Related Google BigQuery Data Policy nodes
See Update Data Policy run in a workflow.
In a technical demo we add the Google BigQuery Data Policy connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.