Execute a Looker API 4.0 query programmatically by creating a query object and calling run_query with a desired result format

domain: docs.cloud.google.com · 5 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Authenticate to the Looker API 4.0 by posting client credentials to /api/4.0/login to obtain a short-lived access token
  2. POST to /api/4.0/queries with a JSON body specifying the model, view (Explore), fields array, filters object, and limit to create a query object and receive a query id in the response
  3. GET or POST to /api/4.0/queries/{query_id}/run/{result_format} where result_format is one of json, json_detail, csv, txt, html, or xlsx to retrieve results synchronously
  4. For long-running queries, use the async path: POST to /api/4.0/query_tasks with the query body to create a query task, then poll GET /api/4.0/query_tasks/{query_task_id}/results until status is complete
  5. Handle pagination by using the limit and offset parameters on the query object, or use result streaming for very large result sets

Known gotchas

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