Databricks Clusters API
Manage Databricks clusters for running data engineering and data science workloads on Apache Spark.
Databricks Clusters API is one of 57 APIs that Databricks publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
This API exposes 26 JSON Schema definitions.
Tagged areas include Cluster. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, a JSON-LD context, and 26 JSON Schemas.
This API exposes 9 operations across 9 paths, and defines 11 schemas. It is described by OpenAPI 3.1.0, at version 2.1.0.
Requests are made against a single base URL, https://{workspace_host}/api.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
Databricks Clusters API declares
1 security scheme
for authenticating requests.
It accepts HTTP bearer tokens (PAT) (bearerAuth).
By default, every request must be authenticated.
bearerAuth— Databricks personal access token (PAT) or OAuth M2M token. Pass the token in the Authorization header as 'Bearer '.
Paths & Operations 9
Across 9 paths, the API surfaces 9 operations — 2 GET, 7 POST. Each is listed below with its method, path, parameters, and response codes.
Manage Databricks clusters for running data engineering and data science workloads on Apache Spark.
Schemas 11
The contract defines 11 schemas that model the data the API accepts and returns. The most detailed are ClusterDetails (34 properties), CreateClusterRequest (22 properties), EditClusterRequest (17 properties), AwsAttributes (8 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 Databricks 12
Other APIs Databricks publishes across the network.
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