All URIs are relative to https://app.hotdata.dev
| Method | HTTP request | Description |
|---|---|---|
| information_schema | GET /v1/information_schema | List tables |
InformationSchemaResponse information_schema(connection_id=connection_id, var_schema=var_schema, table=table, include_columns=include_columns, limit=limit, cursor=cursor)
List tables
List discovered tables with optional filtering and pagination. Supports wildcard patterns (SQL %) for schema and table name filters. Set include_columns=true to include column definitions (omitted by default).
- Bearer Authentication (BearerAuth):
import hotdata
from hotdata.models.information_schema_response import InformationSchemaResponse
from hotdata.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://app.hotdata.dev
# See configuration.py for a list of all supported configuration parameters.
configuration = hotdata.Configuration(
host = "https://app.hotdata.dev"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure Bearer authorization: BearerAuth
configuration = hotdata.Configuration(
access_token = os.environ["BEARER_TOKEN"]
)
# Enter a context with an instance of the API client
with hotdata.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = hotdata.InformationSchemaApi(api_client)
connection_id = 'connection_id_example' # str | Filter by connection ID (optional)
var_schema = 'var_schema_example' # str | Filter by schema name (supports % wildcards) (optional)
table = 'table_example' # str | Filter by table name (supports % wildcards) (optional)
include_columns = True # bool | Include column definitions (default: false) (optional)
limit = 56 # int | Maximum number of tables per page (optional)
cursor = 'cursor_example' # str | Pagination cursor from a previous response (optional)
try:
# List tables
api_response = api_instance.information_schema(connection_id=connection_id, var_schema=var_schema, table=table, include_columns=include_columns, limit=limit, cursor=cursor)
print("The response of InformationSchemaApi->information_schema:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling InformationSchemaApi->information_schema: %s\n" % e)| Name | Type | Description | Notes |
|---|---|---|---|
| connection_id | str | Filter by connection ID | [optional] |
| var_schema | str | Filter by schema name (supports % wildcards) | [optional] |
| table | str | Filter by table name (supports % wildcards) | [optional] |
| include_columns | bool | Include column definitions (default: false) | [optional] |
| limit | int | Maximum number of tables per page | [optional] |
| cursor | str | Pagination cursor from a previous response | [optional] |
- Content-Type: Not defined
- Accept: application/json
| Status code | Description | Response headers |
|---|---|---|
| 200 | Table metadata | - |
| 404 | Connection not found | - |
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