Azurite

Azurite

本地模拟Azure存储服务的开源工具

Azurite是一个开源的Azure存储API兼容服务器,基于Node.js开发,提供跨平台支持。它能在本地环境中模拟Azure存储服务,支持Blob、Queue和Table存储,并与最新的Azure存储API保持同步。Azurite V3采用TypeScript开发,使用代码生成器提高了开发效率和API一致性。这个工具适合开发人员在本地进行Azure存储相关的开发和测试工作。

AzuriteAzure存储模拟器开源TypeScriptGithub开源项目

Azurite V3

npm version Build Status

Note: The latest Azurite V3 code, which supports Blob, Queue, and Table (preview) is in the main branch. The legacy Azurite V2 code is in the legacy-master branch.

VersionAzure Storage API VersionService SupportDescriptionReference Links
3.31.02024-08-04Blob, Queue and Table(preview)Azurite V3 based on TypeScript & New ArchitectureNPM - Docker - Visual Studio Code Extension
Legacy (v2)2016-05-31Blob, Queue and TableLegacy Azurite V2NPM

Introduction

Azurite is an open source Azure Storage API compatible server (emulator). Based on Node.js, Azurite provides cross platform experiences for customers wanting to try Azure Storage easily in a local environment. Azurite simulates most of the commands supported by Azure Storage with minimal dependencies.

Azurite V2 is manually created with pure JavaScript, popular and active as an open source project. However, Azure Storage APIs are growing and keeping updating, manually keeping Azurite up to date is not efficient and prone to bugs. JavaScript also lacks strong type validation which prevents easy collaboration.

Compared to V2, Azurite V3 implements a new architecture leveraging code generated by a TypeScript Server Code Generator we created. The generator uses the same swagger (modified) used by the new Azure Storage SDKs. This reduces manual effort and facilitates better code alignment with storage APIs.

3.0.0-preview is the first release version using Azurite's new architecture.

Features & Key Changes in Azurite V3

  • Blob storage features align with Azure Storage API version 2024-08-04 (Refer to support matrix section below)
    • SharedKey/Account SAS/Service SAS/Public Access Authentications/OAuth
    • Get/Set Blob Service Properties
    • Create/List/Delete Containers
    • Create/Read/List/Update/Delete Block Blobs
    • Create/Read/List/Update/Delete Page Blobs
  • Queue storage features align with Azure Storage API version 2024-08-04 (Refer to support matrix section below)
    • SharedKey/Account SAS/Service SAS/OAuth
    • Get/Set Queue Service Properties
    • Preflight Request
    • Create/List/Delete Queues
    • Put/Get/Peek/Update/Delete/Clear Messages
  • Table storage features align with Azure Storage API version 2024-08-04 (Refer to support matrix section below)
    • SharedKey/Account SAS/Service SAS/OAuth
    • Create/List/Delete Tables
    • Insert/Update/Query/Delete Table Entities
  • Features NEW on V3
    • Built with TypeScript and ECMA native promise and async features
    • New architecture based on TypeScript server generator. Leverage auto generated protocol layer, models, serializer, deserializer and handler interfaces from REST API swagger
    • Flexible structure and architecture, supports customizing handler layer implementation, persistency layer implementation, HTTP pipeline middleware injection
    • Detailed debugging log support, easy bug locating and reporting
    • Works with storage .Net SDK basic and advanced sample
    • SharedKey, AccountSAS, ServiceSAS, OAuth, Public Access authentication support
    • Keep updating with latest Azure Storage API version features (Refer to support matrix)

Getting Started

Try with any of following ways to start an Azurite V3 instance.

GitHub

After cloning source code, execute following commands to install and start Azurite V3.

npm ci npm run build npm install -g azurite

NPM

In order to run Azurite V3 you need Node.js installed on your system. Azurite works cross-platform on Windows, Linux, and OS X. Azurite is compatible with the current Node.Js LTS Versions in support.

After installation you can install Azurite simply with npm which is the Node.js package management tool included with every Node.js installation.

npm install -g azurite

Simply start it with the following command:

azurite -s -l c:\azurite -d c:\azurite\debug.log

or,

azurite --silent --location c:\azurite --debug c:\azurite\debug.log

This tells Azurite to store all data in a particular directory c:\azurite. If the -l option is omitted it will use the current working directory. You can also selectively start different storage services.

For example, to start blob service only:

azurite-blob -l path/to/azurite/workspace

Start queue service only:

azurite-queue -l path/to/azurite/workspace

Start table service only:

azurite-table -l path/to/azurite/workspace

Visual Studio Code Extension

Azurite V3 can be installed from Visual Studio Code extension market.

You can quickly start or close Azurite by clicking Azurite status bar item or following commands.

Extension supports following Visual Studio Code commands:

  • Azurite: Start Start all Azurite services
  • Azurite: Close Close all Azurite services
  • Azurite: Clean Reset all Azurite services persistency data
  • Azurite: Start Blob Service Start blob service
  • Azurite: Close Blob Service Close blob service
  • Azurite: Clean Blob Service Clean blob service
  • Azurite: Start Queue Service Start queue service
  • Azurite: Close Queue Service Close queue service
  • Azurite: Clean Queue Service Clean queue service
  • Azurite: Start Table Service Start table service
  • Azurite: Close Table Service Close table service
  • Azurite: Clean Table Service Clean table service

Following extension configurations are supported:

  • azurite.blobHost Blob service listening endpoint, by default 127.0.0.1
  • azurite.blobPort Blob service listening port, by default 10000
  • azurite.queueHost Queue service listening endpoint, by default 127.0.0.1
  • azurite.queuePort Queue service listening port, by default 10001
  • azurite.tableHost Table service listening endpoint, by default 127.0.0.1
  • azurite.tablePort Table service listening port, by default 10002
  • azurite.location Workspace location folder path (can be relative or absolute). By default, in the VS Code extension, the currently opened folder is used. If launched from the command line, the current process working directory is the default. Relative paths are resolved relative to the default folder.
  • azurite.silent Silent mode to disable access log in Visual Studio channel, by default false
  • azurite.debug Output debug log into Azurite channel, by default false
  • azurite.loose Enable loose mode which ignores unsupported headers and parameters, by default false
  • azurite.cert Path to a PEM or PFX cert file. Required by HTTPS mode.
  • azurite.key Path to a PEM key file. Required when azurite.cert points to a PEM file.
  • azurite.pwd PFX cert password. Required when azurite.cert points to a PFX file.
  • azurite.oauth OAuth oauthentication level. Candidate level values: basic.
  • azurite.skipApiVersionCheck Skip the request API version check, by default false.
  • azurite.disableProductStyleUrl Force parsing storage account name from request URI path, instead of from request URI host.
  • azurite.inMemoryPersistence Disable persisting any data to disk. If the Azurite process is terminated, all data is lost.
  • azurite.extentMemoryLimit When using in-memory persistence, limit the total size of extents (blob and queue content) to a specific number of megabytes. This does not limit blob, queue, or table metadata. Defaults to 50% of total memory.

DockerHub

Run Azurite V3 docker image

Note. Find more docker images tags in https://mcr.microsoft.com/v2/azure-storage/azurite/tags/list

docker run -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite

-p 10000:10000 will expose blob service's default listening port. -p 10001:10001 will expose queue service's default listening port. -p 10002:10002 will expose table service's default listening port.

Or just run blob service:

docker run -p 10000:10000 mcr.microsoft.com/azure-storage/azurite azurite-blob --blobHost 0.0.0.0

Run Azurite V3 docker image with customized persisted data location

docker run -p 10000:10000 -p 10001:10001 -v c:/azurite:/data mcr.microsoft.com/azure-storage/azurite

-v c:/azurite:/data will use and map host path c:/azurite as Azurite's workspace location.

Customize all Azurite V3 supported parameters for docker image

docker run -p 7777:7777 -p 8888:8888 -p 9999:9999 -v c:/azurite:/workspace mcr.microsoft.com/azure-storage/azurite azurite -l /workspace -d /workspace/debug.log --blobPort 7777 --blobHost 0.0.0.0 --queuePort 8888 --queueHost 0.0.0.0 --tablePort 9999 --tableHost 0.0.0.0 --loose --skipApiVersionCheck --disableProductStyleUrl

Above command will try to start Azurite image with configurations:

-l //workspace defines folder /workspace as Azurite's location path inside docker instance, while /workspace is mapped to c:/azurite in host environment by -v c:/azurite:/workspace

-d //workspace/debug.log enables debug log into /workspace/debug.log inside docker instance. debug.log will also mapped to c:/azurite/debug.log in host machine because of docker volume mapping.

--blobPort 7777 makes Azurite blob service listen to port 7777, while -p 7777:7777 redirects requests from host machine's port 7777 to docker instance.

--blobHost 0.0.0.0 defines blob service listening endpoint to accept requests from host machine.

--queuePort 8888 makes Azurite queue service listen to port 8888, while -p 8888:8888 redirects requests from host machine's port 8888 to docker instance.

--queueHost 0.0.0.0 defines queue service listening endpoint to accept requests from host machine.

--tablePort 9999 makes Azurite table service listen to port 9999, while -p 9999:9999 redirects requests from host machine's port 9999 to docker instance.

--tableHost 0.0.0.0 defines table service listening endpoint to accept requests from host machine.

--loose enables loose mode which ignore unsupported headers and parameters.

--skipApiVersionCheck skip the request API version check.

--disableProductStyleUrl force parsing storage account name from request URI path, instead of from request URI host.

If you use customized azurite parameters for docker image, --blobHost 0.0.0.0, --queueHost 0.0.0.0 are required parameters.

In above sample, you need to use double first forward slash for location and debug path parameters to avoid a known issue for Git on Windows.

Will support more release channels for Azurite V3 in the future.

Docker Compose

To run Azurite in Docker Compose, you can start with the following configuration:

--- version: "3.9" services: azurite: image: mcr.microsoft.com/azure-storage/azurite container_name: "azurite" hostname: azurite restart: always ports: - "10000:10000" - "10001:10001" - "10002:10002"

NuGet

Releasing Azurite V3 to NuGet is under investigation.

Visual Studio

Integrate Azurite with Visual Studio is under investigation.

Supported Command Line Options

Listening Host Configuration

Optional. By default, Azurite V3 will listen to 127.0.0.1 as a local server. You can customize the listening address per your requirements.

Only Accept Requests in Local Machine

--blobHost 127.0.0.1 --queueHost 127.0.0.1 --tableHost 127.0.0.1

Allow Accepting Requests from Remote (potentially unsafe)

--blobHost 0.0.0.0 --queueHost 0.0.0.0 --tableHost 0.0.0.0

Listening

编辑推荐精选

音述AI

音述AI

全球首个AI音乐社区

音述AI是全球首个AI音乐社区,致力让每个人都能用音乐表达自我。音述AI提供零门槛AI创作工具,独创GETI法则帮助用户精准定义音乐风格,AI润色功能支持自动优化作品质感。音述AI支持交流讨论、二次创作与价值变现。针对中文用户的语言习惯与文化背景进行专门优化,支持国风融合、C-pop等本土音乐标签,让技术更好地承载人文表达。

lynote.ai

lynote.ai

一站式搞定所有学习需求

不再被海量信息淹没,开始真正理解知识。Lynote 可摘要 YouTube 视频、PDF、文章等内容。即时创建笔记,检测 AI 内容并下载资料,将您的学习效率提升 10 倍。

AniShort

AniShort

为AI短剧协作而生

专为AI短剧协作而生的AniShort正式发布,深度重构AI短剧全流程生产模式,整合创意策划、制作执行、实时协作、在线审片、资产复用等全链路功能,独创无限画布、双轨并行工业化工作流与Ani智能体助手,集成多款主流AI大模型,破解素材零散、版本混乱、沟通低效等行业痛点,助力3人团队效率提升800%,打造标准化、可追溯的AI短剧量产体系,是AI短剧团队协同创作、提升制作效率的核心工具。

seedancetwo2.0

seedancetwo2.0

能听懂你表达的视频模型

Seedance two是基于seedance2.0的中国大模型,支持图像、视频、音频、文本四种模态输入,表达方式更丰富,生成也更可控。

nano-banana纳米香蕉中文站

nano-banana纳米香蕉中文站

国内直接访问,限时3折

输入简单文字,生成想要的图片,纳米香蕉中文站基于 Google 模型的 AI 图片生成网站,支持文字生图、图生图。官网价格限时3折活动

扣子-AI办公

扣子-AI办公

职场AI,就用扣子

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

堆友

堆友

多风格AI绘画神器

堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。

图像生成AI工具AI反应堆AI工具箱AI绘画GOAI艺术字堆友相机AI图像热门
码上飞

码上飞

零代码AI应用开发平台

零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

下拉加载更多