可以在 Databricks 中以计划的或触发的作业的形式自动完成 Python 工作负荷。 作业可以运行笔记本、Python 脚本和 Python wheel 文件。 使用Databricks UI或Databricks REST API创建和更新作业。 Databricks Python SDK允许以编程方式创建、编辑和删除作业。 Databricks CLI提供了一个方便的命令行接口,用于自动执行作业。
Python 複製 from databricks.sdk import AccountClient a = AccountClient() for g in a.groups.list(): print(g.display_name) 測試 若要測試程式碼,請使用 Python 測試架構,例如 pytest。 若要在不呼叫 Azure Databricks REST API 端點或變更 Azure Databricks 帳戶或工作區的狀態的情況下,在模擬條件下測...
若要测试代码,请使用 Python 测试框架,例如pytest。 若要在模拟条件下测试代码,而不调用 Azure Databricks REST API 终结点或更改 Azure Databricks 帐户或工作区的状态,可以使用 Python 模拟库(如unittest.mock)。 例如,如果以下名为“helpers.py”的文件,其中包含使用 Azure Databricks 个人访问令牌返回到 Azure Dat...
使用基础模型 API 有多个选项可用于使用基础模型 API。 API 与 OpenAI 兼容,因此可以使用 OpenAI 客户端进行查询。 还可以使用 UI、基础模型 API Python SDK、MLflow 部署 SDK 或 REST API 来查询支持的模型。 Databricks 建议使用 OpenAI 客户端 SDK 或 API 进行扩展交互,使用 UI 来试用该功能。
The Databricks SDK for Python includes functionality to accelerate development with Python for the Databricks Lakehouse. It covers all public Databricks REST API operations. The SDK's internal HTTP client is robust and handles failures on different levels by performing intelligent retries....
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 Add files via upload Jun 30, 2023 images ...
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...
Databricks REST API Bash shell commands (%sh) Notebook-scoped library installs using%pip pandas OSS Python file management and processing utilities important Some operations in Databricks, especially those using Java or Scala libraries, run as JVM processes, for example: ...
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Jobs REST API For examples of using tools and APIs to create and manage jobs, seeAutomate job creation and management. For documentation on all available developer tools, seeLocal development tools. External tools use the Databricks tools and APIs to programmatically schedule workflows. For example,...