Google BigQuery ​
Run SQL queries and manage datasets and tables in Google BigQuery.
| Detail | Value |
|---|---|
| Category | Database |
| Base URL | https://bigquery.googleapis.com/bigquery/v2 |
| Authentication | See connector docs |
| Endpoints | 8 |
| Connector key | gcp-bigquery |
Using Google BigQuery in a workflow ​
- Go to Connections and click New Connection.
- Pick Google BigQuery from the marketplace.
- Enter your credentials (see Authentication above for what's expected).
- In a workflow, drop an API Call node and select this connection.
- Pick the operation you need from the Operation dropdown — see the table below.
Available Endpoints ​
| Endpoint | Summary |
|---|---|
| GET /projects/{projectId}/datasets | List datasets |
| POST /projects/{projectId}/datasets | Create a dataset |
| GET /projects/{projectId}/datasets/{datasetId}/tables | List tables |
| POST /projects/{projectId}/queries | Run a SQL query |
| GET /projects/{projectId}/jobs | List jobs |
| GET /projects/{projectId}/jobs/{jobId} | Get job details |
| POST /projects/{projectId}/jobs/{jobId}/cancel | Cancel a job |
| GET /projects/{projectId}/datasets/{datasetId}/tables/{tableId}/data | List table data |
Each endpoint has its own page with parameter details, an example
API Callnode configuration, and the response shape.