bigquery-api

To run BigQuery SQL queries, submit synchronous or asynchronous jobs, poll their status, and page through large result sets. The tool handles parameterized SQL and location-aware job polling to retrieve answers.

You can browse BigQuery catalog metadata by listing datasets and tables, inspecting schemas, and previewing rows directly. This allows you to verify table structures without executing a query job.

The best way to manage BigQuery jobs is to check recent job statuses and cancel running jobs. It handles location-aware polling and pagination correctly to confirm whether a long-running job finished successfully.

Yes, you need curl and jq to inspect BigQuery tables and execute queries. These dependencies handle Google BigQuery REST API calls and decode API responses to retrieve data.

Yes, there are maximum-bytes guardrails applied when running BigQuery SQL. These limits prevent excessive data scanning during query execution and job polling.

Location-aware job polling checks the status of asynchronous BigQuery queries by targeting the specific geographic location where the job runs, ensuring accurate status retrieval and result paging.