Get Data Source
bigquery_data_transfer.get_data_source
ActionGoogle Cloudconnection required
Calls bigquerydatatransfer v1 GET /v1/projects/{projectsId}/dataSources/{dataSourcesId}.
Retrieves a supported data source and returns its settings.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- OAuth 2.0
- Providers
- Google BigQuery Data Transfer
- Secret shape
- {"client_id", "client_secret", "refresh_token"}
- Config it needs
- project_id
- Resolved by
- config.connection_id, else node.connection_id
Configuration
1 field, 1 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 |
|---|---|---|---|---|---|
data_source Data source name or id. | string | Yes | — | — | — |
Output
One shape.
result
Extra keys beyond the ones listed can appear.
| Field | Type | Example |
|---|---|---|
authorizationType | string | — |
clientId | string | — |
dataRefreshType | string | — |
dataSourceId | string | — |
defaultDataRefreshWindowDays | integer | — |
defaultSchedule | string | — |
description | string | — |
displayName | string | — |
helpUrl | string | — |
manualRunsDisabled | boolean | — |
minimumScheduleInterval | string | — |
name | string | — |
parameters | array | — |
scopes | array | — |
supportsCustomSchedule | boolean | — |
supportsMultipleTransfers | boolean | — |
transferType | string | — |
updateDeadlineSeconds | integer | — |
{
"authorizationType": "",
"clientId": "",
"dataRefreshType": "",
"dataSourceId": "",
"defaultDataRefreshWindowDays": 0,
"defaultSchedule": "",
"description": "",
"displayName": "",
"helpUrl": "",
"manualRunsDisabled": false,
"minimumScheduleInterval": "",
"name": "",
"parameters": [],
"scopes": [],
"supportsCustomSchedule": false,
"supportsMultipleTransfers": false,
"transferType": "",
"updateDeadlineSeconds": 0
}Related Google BigQuery Data Transfer nodes
See Get Data Source run in a workflow.
In a technical demo we add the Google BigQuery Data Transfer connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.