Azure Databricks Workspace API
Manage workspace objects such as notebooks, folders, files, and repos. Import, export, list, and delete workspace objects.
Azure Databricks Workspace API is one of 38 APIs that Azure Databricks publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
This API exposes 1 JSON Schema definition.
Tagged areas include Workspace. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, authentication docs, an API reference, a JSON-LD context, and 1 JSON Schema.
This API exposes 6 operations across 6 paths, and defines 2 schemas. It is described by OpenAPI 3.2.0, at version 2.1.0.
Requests are made against a single base URL, https://{databricks_instance}.azuredatabricks.net/api.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 2
Azure Databricks Workspace API declares
2 security schemes
for authenticating requests.
It accepts HTTP bearer tokens (BearerAuth).
It supports OAuth 2.0 (AzureADToken) using the authorizationCode flow, exposing 1 scope.
By default, every request must be authenticated.
BearerAuth— Databricks personal access token. Pass the token in the Authorization header as Bearer .AzureADToken— Azure Active Directory token for authenticating with Azure Databricks. Supports both user and service principal authentication.
Paths & Operations 6
Across 6 paths, the API surfaces 6 operations — 3 GET, 3 POST. Each is listed below with its method, path, parameters, and response codes.
Manage workspace objects such as notebooks, folders, files, and repos. Import, export, list, and delete workspace objects.
Schemas 2
The contract defines 2 schemas that model the data the API accepts and returns. The most detailed are WorkspaceObject (7 properties), Error (2 properties). Each schema is shown below with its type and property counts.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
More from Azure Databricks 12
Other APIs Azure Databricks publishes across the network.
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