Request body for POST /query
| Name | Type | Description | Notes |
|---|---|---|---|
| var_async | bool | When true, execute the query asynchronously and return a query run ID for polling via GET /query-runs/{id}. The query results can be retrieved via GET /results/{id} once the query run status is "succeeded". | [optional] |
| async_after_ms | int | If set with async=true, wait up to this many milliseconds for the query to complete synchronously before returning an async response. Minimum 1000ms. Ignored if async is false. | [optional] |
| database_id | str | Database to scope the query to (its id). Alternative to the `X-Database-Id` header — exactly one source must be provided. If both this field and the header are set and they disagree, the request is rejected with a 400. | [optional] |
| default_catalog | str | Catalog that unqualified table references resolve against within the query's database scope. Must name a catalog visible in the database (`default`, an attached catalog alias, or a system catalog). Defaults to `default` when omitted. | [optional] |
| default_schema | str | Schema that unqualified table references resolve against within the query's database scope. Defaults to `main` when omitted. Existence is not validated up front — an unknown schema surfaces as a "table not found" error at planning time. | [optional] |
| sql | str |
from hotdata.models.query_request import QueryRequest
# TODO update the JSON string below
json = "{}"
# create an instance of QueryRequest from a JSON string
query_request_instance = QueryRequest.from_json(json)
# print the JSON string representation of the object
print(QueryRequest.to_json())
# convert the object into a dict
query_request_dict = query_request_instance.to_dict()
# create an instance of QueryRequest from a dict
query_request_from_dict = QueryRequest.from_dict(query_request_dict)