
Databricks REST API reference
This reference describes the types, paths, and any request payload or query parameters, for each supported Databricks REST API operation. Many reference pages also provide request and …
Azure Databricks REST API reference
This reference describes the types, paths, and any request payload or query parameters, for each supported Azure Databricks REST API operation. Many reference pages also provide request …
Databricks reference documentation | Databricks on AWS
This page contains links to comprehensive reference documentation, including links to reference for Databricks APIs, SQL, CLIs, SDKs, and other resources. REST API reference
Databricks REST API reference
This reference describes the types, paths, and any request payload or query parameters, for each supported Databricks REST API operation. Many reference pages also provide request and …
Statement Execution API: Run SQL on warehouses - Databricks
This tutorial shows you how to use the Databricks SQL Statement Execution API 2.0 to run SQL statements from Databricks SQL warehouses. To view the Databricks SQL Statement …
Azure Databricks REST API reference
This reference describes the types, paths, and any request payload or query parameters, for each supported Azure Databricks REST API operation. Many reference pages also provide request …
Apps API | REST API reference | Databricks on AWS
Apps run directly on a customer’s Databricks instance, integrate with their data, use and extend Databricks services, and enable users to interact through single sign-on.
List catalogs | Catalogs API | REST API reference - Databricks
There is no guarantee of a specific ordering of the elements in the array. NOTE: we recommend using max_results=0 to use the paginated version of this API. Unpaginated calls will be …
Catalogs API | REST API reference | Databricks on AWS
Dokumentasi API REST Databricks untuk katalog di workspace, mencakup panduan penggunaan dan referensi teknis.
Pipelines API | REST API reference | Databricks on AWS
The Lakeflow Spark Declarative Pipelines API allows you to create, edit, delete, start, and view details about pipelines. Spark Declarative Pipelines is a framework for building reliable, …