本文提供 Databricks Foundation 模型 API 及其支援的模型一般 API 資訊。 基礎模型 API 的設計類似於 OpenAI 的 REST API,讓移轉現有的專案更容易。 按令牌付費和預配置的吞吐量端點都接受相同的 REST API 請求格式。 端點 基礎模型 API 支援按使用量支付的 token 端點和已配置輸送量端點。
DocumentationREST API reference Jobs Terraform The Jobs API allows you to create, edit, and delete jobs. You can use an Azure Databricks job to run a data processing or data analysis task in an Azure Databricks cluster with scalable resources. Your job can consist of a single task or can ...
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 and response payload examples. Some reference pages also provide examples for calling an Azure Databricks REST API ...
问如何通过调用databricks rest api从data bricks活动创建/启动群集ENSpring Boot 是一个功能强大的框架，...
master BranchesTags Code Folders and files Name Last commit message Last commit date Latest commit dennyglee Add files via upload Mar 28, 2024 125a901·Mar 28, 2024 History 278 Commits REST REST API 2.0 Examples Mar 29, 2016 archive
DATABRICKS_DEBUG_HEADERS rate_limit (Integer) Maximum number of requests per second made to Databricks REST API. DATABRICKS_RATE_LIMITFor example, to turn on debug HTTP headers:from databricks.sdk import WorkspaceClient w = WorkspaceClient(debug_headers=True) # Now call the Databricks workspace API...
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
Some reference pages also provide examples for calling a Databricks REST API operation by using the Databricks CLI, the Databricks Terraform provider, or one or more of the Databricks SDKs. Rate limits To ensure high quality of service under heavy load, Databricks enforces rate limits for all ...
Learn to use the Databricks REST API for job automation, cluster management, and integrations. Master best practices for security, performance, and scalability. Allan Ouko January 29, 2025 Cloud CREATE TABLE in Databricks: A Full Guide to Building and Managing Tables Discover how to create tables...