@dbx-tools/databricks

中文文档
0.9.206发布于 2026/11/11Apache-2.0TypeScriptES Module构建来源已验证近 30 天下载 1.1万

Databricks workspace, filesystem, cloud, and network utilities

原始使用文档
文档目录7 节
  1. Quick start
  2. Choose application or agent file access
  3. Filesystem targets
  4. Resolve workspace identity
  5. Detect cloud provider and region
  6. Resolve network details
  7. Modules

@dbx-tools/databricks

Resolve Databricks workspace identity, access workspace files, detect cloud and region, resolve DNS, and discover the caller's public IP.

Quick start

Read and write a Unity Catalog volume through the shared filesystem API:

import { DatabricksFileSystem } from "@dbx-tools/databricks";

const files = new DatabricksFileSystem({ root: "main.default.assets" });
await files.writeFile("reports/latest.txt", "ready");

The package:

  • Workspace URL and numeric workspace id resolution from AppKit context, Databricks SDK config, env, and config files.
  • DatabricksFileSystem (FileSystem over workspace files, UC volumes, and DBFS) with intelligent roots: /Workspace/..., /Volumes/... (also /Volume/... and catalog.schema.volume), ~ → /Workspace/Users/<userName>, and /dbfs/....
  • tryGetWorkspaceClient / getWorkspaceClient / getCurrentUserName for client and home-path resolution.
  • Cloud provider/region detection by resolving workspace hosts against public AWS, Azure, and GCP IP feeds.
  • In-process and on-disk caching for cloud IP range feeds.
  • DNS A/AAAA lookup helpers for Databricks and adjacent service hosts.
  • Memoized outbound public-IP discovery for setup and diagnostics.

Choose application or agent file access

Use native AppKit for its standard workspace client and plugin integrations. Use this package when code needs Databricks filesystem root normalization, cloud region discovery, network helpers, or workspace identity fallbacks outside an AppKit request.

Use AppKit's Files plugin when application routes or UI components need file and volume operations. Use DatabricksFileSystem for backend libraries and for a portable filesystem mounted into a Mastra agent workspace. Use @dbx-tools/fs for host-local files.

Filesystem targets

import { DatabricksFileSystem } from "@dbx-tools/databricks";

// Unity Catalog volume using a three-part id
const volume = new DatabricksFileSystem({ root: "main.default.assets" });
await volume.writeFile("notes/hello.txt", "hi");

// Workspace home (resolves ~ using currentUser.me / AppKit userName)
const home = await DatabricksFileSystem.create({ root: "~" });
const entries = await home.readdir(".");

Roots are normalized before use:

InputNormalized rootAPI
catalog.schema.volume/Volumes/catalog/schema/volumeUC Files
/Volume/.../Volumes/...UC Files
~ / ~/.../Workspace/Users/<userName>/...Workspace
/Workspace/..., /Users/..., /Repos/..., /Shared/...unchanged (POSIX)Workspace
/dbfs/...unchanged (POSIX)DBFS

~ expansion uses getCurrentUserName() (AppKit context userName, else currentUser.me() through tryGetWorkspaceClient / getWorkspaceClient). Prefer DatabricksFileSystem.create({ root: "~" }) when the username is not known up front.

Built on @dbx-tools/shared-fs BaseFileSystem, so portable behavior (parents, recursion, encoding, error mapping) is shared with LocalFileSystem / MemoryFileSystem.

Resolve workspace identity

import { workspaceClient } from "@dbx-tools/databricks";

const url = await workspaceClient.getWorkspaceUrl();
const id = await workspaceClient.getWorkspaceId();

workspaceClient.getWorkspaceUrl() checks the active AppKit execution context when present, then a default Databricks SDK client, then environment/config. Use it in libraries that should work inside an AppKit request and from a standalone script.

Detect cloud provider and region

import { cloud } from "@dbx-tools/databricks";

const location = await cloud.resolveCloudLocation("https://adb-123.azuredatabricks.net");

cloud.resolveCloudLocation() DNS-resolves the workspace host and matches its IPs against AWS, Azure, and GCP public range feeds. Feeds are cached on disk and in process for 24 hours. Use this when constructing region-specific service URLs or routing workspace-adjacent traffic.

Cloud detection is best-effort. It is intended for endpoint construction and developer diagnostics, not for security policy decisions.

Resolve network details

import { net } from "@dbx-tools/databricks";

const ips = await net.resolveHostIps("https://example.cloud.databricks.com");
const publicIp = await net.getPublicIp();

net.resolveHostIps() accepts the same URL-like values as @dbx-tools/shared-core net.urlBuilder(). net.getPublicIp() is memoized for short-lived reuse.

Modules

  • databricks-fs / databricks-path - rooted FileSystem over workspace / volumes / DBFS.
  • workspace - workspace URL/id, tryGetWorkspaceClient / getWorkspaceClient, and current username.
  • cloud - provider/region detection from public cloud IP ranges.
  • net - DNS A/AAAA resolution and outbound public-IP discovery.

Zerobus endpoint construction builds on these helpers in @dbx-tools/databricks-zerobus.

版本与发布记录

@dbx-tools/databricks 共发布 352 个版本,首次发布于 2026/07/18;过去 12 个月发布了 352 个版本。最新版本附带 npm provenance 构建来源证明,可追溯到公开的 CI 构建记录。

版本发布日期距今
0.9.206latest2026/11/11今天
0.9.2052026/11/111 天前
0.9.2032026/11/074 天前
0.9.2022026/11/065 天前
0.9.2012026/11/056 天前
0.9.2002026/11/056 天前

关于 @dbx-tools/databricks 的常见问题

@dbx-tools/databricks 是什么?

Databricks workspace, filesystem, cloud, and network utilities

如何安装 @dbx-tools/databricks?

在项目目录运行 npm install @dbx-tools/databricks,或使用 pnpm add / yarn add / bun add。

@dbx-tools/databricks 支持 TypeScript 吗?

支持。包内自带 TypeScript 类型声明(package.json 声明了 types 入口),安装后即可获得类型提示,无需再安装 @types 包。

@dbx-tools/databricks 支持 ESM 还是 CommonJS?

以 ES Module 形式发布,推荐使用 import 引入。在 CommonJS 项目中,Node.js 20.19+ / 22.12+ 可以直接 require() 不含顶层 await 的 ES Module,更早的版本需要改用动态 import()。

@dbx-tools/databricks 可以商用吗?

@dbx-tools/databricks 使用 Apache-2.0 许可。宽松许可:允许商业使用、修改和再分发,并附带明确的专利授权;分发时需保留许可与 NOTICE 文件,修改过的文件要注明改动。以上为概括,不构成法律意见,请以许可原文为准。

@dbx-tools/databricks 的下载量有多少?

根据 npm 官方下载统计,@dbx-tools/databricks 在 2026/10/12 – 2026/11/10 这 30 天内被下载 10,815 次,日均约 361 次。下载量会把 CI 构建、镜像同步和作为其他包依赖的安装一并计入,适合横向比较热度,不能直接等同于使用人数。

@dbx-tools/databricks 还在维护吗?

最新版本 0.9.206 发布于 2026/11/11(今天);至今共发布 352 个版本,其中过去 12 个月发布了 352 个;首次发布于 2026/07/18。发布频率只是参考信号:功能稳定的工具可能很少需要更新,建议结合源码仓库的 issue 和提交记录判断。