Service Overview
BigQuery is the official cloud data warehouse api from Google for bigquery, data, analytics, and sql. This Hub entry keeps the service explanation, setup links, and Harbor-safe import path together so operators can review the integration before local credentials and policies are applied.
BigQuery
Service
Cloud data warehouse API
Service type
https://bigquery.googleapis.com/
Base URL
What This Port Does
- List datasets in a specific Google Cloud project using typed path and pagination inputs.
- Run a BigQuery SQL query synchronously using a bounded JSON request body for the target project.
- Fetch metadata and status for a specific BigQuery job using typed project, job, and optional location inputs.
- Keeps service credentials local to Harbor Node so approval, execution, and audit stay inside the Harbor ecosystem.
Operator Setup
- Create or confirm a Google account, workspace, or tenant with the API access needed for the actions you plan to enable.
- Import this Hub entry into Harbor, then verify the service base URL and connection settings before testing actions.
- Store the required Bearer token locally in Harbor Node using the Authorization header, then review automatic versus approval-required actions before publish.
- Use the vendor setup guide linked below to create service credentials, scopes, or app registration settings that match your Harbor policy.
Install
Use in Harbor UI or the import-by-URL route.
https://hub.breakwaterharbor.net/p/google/bigquery
http_api
Local shell
16
Actions
Community
Required tier
Never
Secrets imported
Actions
List Datasets JSON
{
"slug": "list-datasets",
"label": "List Datasets",
"description": "List datasets in a specific Google Cloud project using typed path and pagination inputs.",
"method": "GET",
"path": "/bigquery/v2/projects/{projectId}/datasets",
"inputs": {
"parameters": [
{
"name": "projectId",
"in": "path",
"required": true,
"schema": {
"type": "string",
"minLength": 1
},
"description": "Google Cloud project ID that owns the datasets."
},
{
"name": "maxResults",
"in": "query",
"schema": {
"type": "integer",
"minimum": 1,
"maximum": 1000
},
"default": 50,
"description": "Maximum number of datasets to return."
},
{
"name": "pageToken",
"in": "query",
"schema": {
"type": "string"
},
"description": "Continuation token from a previous dataset list response."
},
{
"name": "all",
"in": "query",
"schema": {
"type": "boolean"
},
"description": "Whether to include hidden datasets."
}
]
},
"approvalMode": "automatic",
"requestBodyMode": "none",
"resultMode": "json_summary"
}
Workflows
Project Query Check
Future workflow template for running a reviewed SQL check and then inspecting the resulting job.