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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 response payload examples. Some reference pages also provide examples for calling a Databricks REST API operation by ...
Each API reference page is presented primarily from a representational state transfer (REST) perspective. Azure Databricks REST API calls typically include the following components: The workspace instance name of your Azure Databricks deployment. The REST API operation type, such as GET, POST, PATCH,...
For API reference information, see the API Reference docs, particularly for private access settings. To create Databricks private access settings object using a REST API: If you have not done it already, or if your token has expired, create a Google ID token. Follow the instructions on Authent...
This repository contains sample Databricks notebooks found within theDatabricks Selected Notebooks Jump Startand other miscellaneous locations. The notebooks were created using Databricks in Python, Scala, SQL, and R; the vast majority of them can be run onDatabricks Community Edition(sign up for free...
REST API endpoint /ajax-api/2.0/preview/mlflow/artifacts/get has been moved to $static_prefix/get-artifact. This change is coversioned in the JavaScript, so should not be noticeable unless you were calling the REST API directly (#293, @andremchen) ...
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Databricks Developer API Reference Note: This is a beta website. This website contains a subset of the Databricks API reference documentation. To see additional Databricks API reference documentation, go to the rest of the Databricks API reference documentation. Send your feedback to doc-feedback@...