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Azurite V3

npm version

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
3.33.02025-01-05Blob, 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

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:

Following extension configurations are supported:

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 --blobKeepAliveTimeout 5 --queuePort 8888 --queueHost 0.0.0.0 --queueKeepAliveTimeout 5 --tablePort 9999 --tableHost 0.0.0.0 --tableKeepAliveTimeout 5 --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.

--blobKeepAliveTimeout 5 blob service keep alive timeout in seconds

--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.

--queueKeepAliveTimeout 5 queue service keep alive timeout in seconds

--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.

--tableKeepAliveTimeout 5 table service keep alive timeout in seconds

--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 Port Configuration

Optional. By default, Azurite V3 will listen to 10000 as blob service port, and 10001 as queue service port, and 10002 as the table service port. You can customize the listening port per your requirements.

Warning: After using a customized port, you need to update connection string or configurations correspondingly in your Storage Tools or SDKs. If starting Azurite you see error Error: listen EACCES 0.0.0.0:10000 the TCP port is most likely already occupied by another process.

Customize Blob/Queue Service Listening Port

--blobPort 8888
--queuePort 9999
--tablePort 11111

Let System Auto Select an Available Port

--blobPort 0
--queuePort 0
--tablePort 0

Note: The port in use is displayed on Azurite startup.

Workspace Path Configuration

Optional. Azurite V3 needs to persist metadata and binary data to local disk during execution.

You can provide a customized path as the workspace location, or by default, Current process working directory will be used.

-l c:\azurite
--location c:\azurite

Access Log Configuration

Optional. By default Azurite will display access log in console. Disable it by:

-s
--silent

Debug Log Configuration

Optional. Debug log includes detailed information on every request and exception stack traces. Enable it by providing a valid local file path for the debug log destination.

-d path/debug.log
--debug path/debug.log

Loose Mode Configuration

Optional. By default Azurite will apply strict mode. Strict mode will block unsupported request headers or parameters. Disable it by enabling loose mode:

-L
--loose

Certificate Configuration (HTTPS)

Optional. By default Azurite will listen on HTTP protocol. Provide a PEM or PFX certificate file path to enable HTTPS mode:

--cert path/server.pem

When --cert is provided for a PEM file, must provide corresponding --key.

--key path/key.pem

When --cert is provided for a PFX file, must provide corresponding --pwd

--pwd pfxpassword

OAuth Configuration

Optional. By default, Azurite doesn't support OAuth and bearer token. Enable OAuth authentication for Azurite by:

--oauth basic

Note. OAuth requires HTTPS endpoint. Make sure HTTPS is enabled by providing --cert parameter along with --oauth parameter.

Currently, Azurite supports following OAuth authentication levels:

Basic

In basic level, --oauth basic, Azurite will do basic authentication, like validating incoming bearer token, checking issuer, audience, expiry. But Azurite will NOT check token signature and permission.

Skip API Version Check

Optional. By default Azurite will check the request API version is valid API version. Skip the API version check by:

--skipApiVersionCheck

Disable Product Style Url

Optional. When using FQDN instead of IP in request URI host, by default Azurite will parse storage account name from request URI host. Force parsing storage account name from request URI path by:

--disableProductStyleUrl

Use in-memory storage

Optional. Disable persisting any data to disk and only store data in-memory. If the Azurite process is terminated, all data is lost. By default, LokiJS persists blob and queue metadata to disk and content to extent files. Table storage persists all data to disk. This behavior can be disabled using this option. This setting is rejected when the SQL based metadata implementation is enabled (via AZURITE_DB). This setting is rejected when the --location option is specified.

--inMemoryPersistence

By default, the in-memory extent store (for blob and queue content) is limited to 50% of the total memory on the host machine. This is evaluated to using os.totalmem(). This limit can be overridden using the --extentMemoryLimit <megabytes> option. There is no restriction on the value specified for this option but virtual memory may be used if the limit exceeds the amount of available physical memory as provided by the operating system. A high limit may eventually lead to out of memory errors or reduced performance.

As blob or queue content (i.e. bytes in the in-memory extent store) is deleted, the memory is not freed immediately. Similar to the default file-system based extent store, both the blob and queue service have an extent garbage collection (GC) process. This process is in addition to the standard Node.js runtime GC. The extent GC periodically detects unused extents and deletes them from the extent store. This happens on a regular time period rather than immediately after the blob or queue REST API operation that caused some content to be deleted. This means that process memory consumed by the deleted blob or queue content will only be released after both the extent GC and the runtime GC have run. The extent GC will remove the reference to the in-memory byte storage and the runtime GC will free the unreferenced memory some time after that. The blob extent GC runs every 10 minutes and the queue extent GC runs every 1 minute.

The queue and blob extent storage count towards the same limit. The --extentMemoryLimit setting is rejected when --inMemoryPersistence is not specified. LokiJS storage (blob and queue metadata and table data) does not contribute to this limit and is unbounded which is the same as without the --inMemoryPersistence option.

--extentMemoryLimit <megabytes>

This option is rejected when --inMemoryPersistence is not specified.

When the limit is reached, write operations to the blob or queue endpoints which carry content will fail with an HTTP 409 status code, a custom storage error code of MemoryExtentStoreAtSizeLimit, and a helpful error message. Well-behaved storage SDKs and tools will not a retry on this failure and will return a related error message. If this error is met, consider deleting some in-memory content (blobs or queues), raising the limit, or restarting the Azurite server thus resetting the storage completely.

Note that if many hundreds of megabytes of content (queue message or blob content) are stored in-memory, it can take noticeably longer than usual for the process to terminate since all the consumed memory needs to be released.

Command Line Options Differences between Azurite V2

Azurite V3 supports SharedKey, Account Shared Access Signature (SAS), Service SAS, OAuth, and Public Container Access authentications, you can use any Azure Storage SDKs or tools like Storage Explorer to connect Azurite V3 with any authentication strategy.

An option to bypass authentication is NOT provided in Azurite V3.

Supported Environment Variable Options

When starting Azurite from npm command line azurite or docker image, following environment variables are supported for advanced customization.

Customized Storage Accounts & Keys

Azurite V3 allows customizing storage account names and keys by providing environment variable AZURITE_ACCOUNTS with format account1:key1[:key2];account2:key1[:key2];....

For example, customize one storage account which has only one key:

set AZURITE_ACCOUNTS=account1:key1

Or customize multi storage accounts and each has 2 keys:

set AZURITE_ACCOUNTS=account1:key1:key2;account2:key1:key2

Azurite will refresh customized account name and key from environment variable every minute by default. With this feature, we can dynamically rotate account key, or add new storage accounts on the air without restarting Azurite instance.

Note. Default storage account devstoreaccount1 will be disabled when providing customized storage accounts.

Note. The account keys must be base64 encoded string.

Note. Should update connection string accordingly if using customized account name and key.

Note. Use export keyword to set environment variable in Linux like environment, set in Windows.

Note. When changing storage account name, keep these rules in mind as same as Azure Storage Account:

Customized Metadata Storage by External Database (Preview)

By default, Azurite leverages loki as metadata database. However, as an in-memory database, loki limits Azurite's scalability and data persistency. Set environment variable AZURITE_DB=dialect://[username][:password][@]host:port/database to make Azurite blob service switch to a SQL database based metadata storage, like MySql, SqlServer.

For example, connect to MySql or SqlServer by set environment variables:

set AZURITE_DB=mysql://username:password@localhost:3306/azurite_blob
set AZURITE_DB=mssql://username:password@localhost:1024/azurite_blob

When Azurite starts with above environment variable, it connects to the configured database, and creates tables if not exist. This feature is in preview, when Azurite changes database table schema, you need to drop existing tables and let Azurite regenerate database tables.

Note. Need to manually create database before starting Azurite instance.

Note. Blob Copy & Page Blob are not supported by SQL based metadata implementation.

Tips. Create database instance quickly with docker, for example docker run --name mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=my-secret-pw -d mysql:latest. Grant external access and create database azurite_blob using docker exec mysql mysql -u root -pmy-secret-pw -e "GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' WITH GRANT OPTION; FLUSH PRIVILEGES; create database azurite_blob;". Notice that, above commands are examples, you need to carefully define the access permissions in your production environment.

HTTPS Setup

Azurite natively supports HTTPS with self-signed certificates via the --cert and --key/--pwd options. You have two certificate type options: PEM or PFX. PEM certificates are split into "cert" and "key" files. A PFX certificate is a single file that can be assigned a password.

PEM

Generate PEM Certificate and Key

You have a few options to generate PEM certificate and key files. We'll show you how to use mkcert and OpenSSL.

mkcert

mkcert is a utility that makes the entire self-signed certificate process much easier because it wraps a lot of the complex commands that you need to manually execute with other utilities.

Generate Certificate and Key with mkcert
  1. Install mkcert: https://github.com/FiloSottile/mkcert#installation. We like to use choco choco install mkcert, but you can install with any mechanism you'd like.
  2. Run the following commands to install the Root CA and generate a cert for Azurite.
mkcert -install
mkcert 127.0.0.1

That will create two files. A certificate file: 127.0.0.1.pem and a key file: 127.0.0.1-key.pem.

Start Azurite with HTTPS and PEM

Then you start Azurite with that cert and key.

azurite --cert 127.0.0.1.pem --key 127.0.0.1-key.pem

If you start Azurite with docker, you need to map the folder contains the cert and key files to docker. In following example, the local folder c:/azurite contains the cert and key files, and map it to /workspace on docker.

docker run -p 10000:10000 -p 10001:10001 -p 10002:10002 -v c:/azurite:/workspace  mcr.microsoft.com/azure-storage/azurite azurite --blobHost 0.0.0.0  --queueHost 0.0.0.0 --tableHost 0.0.0.0 --cert /workspace/127.0.0.1.pem --key /workspace/127.0.0.1-key.pem
OpenSSL

OpenSSL is a TLS/SSL toolkit. You can use it to generate certificates. It is more involved than mkcert, but has more options.

Install OpenSSL on Windows
  1. Download and install the OpenSSL v1.1.1a+ EXE from http://slproweb.com/products/Win32OpenSSL.html
  2. Set the following environment variables
set OPENSSL_CONF=c:\OpenSSL-Win32\bin\openssl.cfg
set Path=%PATH%;c:\OpenSSL-Win32\bin
Generate Certificate and Key

Execute the following command to generate a cert and key with OpenSSL.

openssl req -newkey rsa:2048 -x509 -nodes -keyout key.pem -new -out cert.pem -sha256 -days 365 -addext "subjectAltName=IP:127.0.0.1" -subj "/C=CO/ST=ST/L=LO/O=OR/OU=OU/CN=CN"

The -subj values are required, but do not have to be valid. The subjectAltName must contain the Azurite IP address.

Add Certificate to Trusted Root Store

You then need to add that certificate to the Trusted Root Certification Authorities. This is required to work with Azure SDKs and Storage Explorer.

Here's how to do that on Windows:

certutil –addstore -enterprise –f "Root" cert.pem

Start Azurite with HTTPS and PEM

Then you start Azurite with that cert and key.

Azurite --cert cert.pem --key key.pem

NOTE: If you are using the Azure SDKs, then you will also need to pass the --oauth basic option.

PFX

Generate PFX Certificate

You first need to generate a PFX file to use with Azurite.

You can use the following command to generate a PFX file with dotnet dev-certs, which is installed with the .NET Core SDK.

dotnet dev-certs https --trust -ep cert.pfx -p <password>

Storage Explorer does not currently work with certificates produced by dotnet dev-certs. While you can use them for Azurite and Azure SDKs, you won't be able to access the Azurite endpoints with Storage Explorer if you are using the certs created with dotnet dev-certs. We are tracking this issue on GitHub here: https://github.com/microsoft/AzureStorageExplorer/issues/2859

Start Azurite with HTTPS and PFX

Then you start Azurite with that cert and password.

azurite --cert cert.pfx --pwd pfxpassword

NOTE: If you are using the Azure SDKs, then you will also need to pass the --oauth basic option.

Start Azurite

Usage with Azure Storage SDKs or Tools

Default Storage Account

Azurite V3 provides support for a default storage account as General Storage Account V2 and associated features.

Note. Besides SharedKey authentication, Azurite V3 supports account, OAuth, and service SAS authentication. Anonymous access is also available when container is set to allow public access.

Customized Storage Accounts & Keys

As mentioned by above section. Azurite V3 allows customizing storage account names and keys by providing environment variable AZURITE_ACCOUNTS with format account1:key1[:key2];account2:key1[:key2];.... Account keys must be base64 encoded string.

For example, customize one storage account which has only one key:

set AZURITE_ACCOUNTS="account1:key1"

Or customize multi storage accounts and each has 2 keys:

set AZURITE_ACCOUNTS="account1:key1:key2;account2:key1:key2"

Connection Strings

HTTP Connection Strings

You can pass the following connection strings to the Azure SDKs or tools (like Azure CLI 2.0 or Storage Explorer)

The full connection string is:

DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://127.0.0.1:10000/devstoreaccount1;QueueEndpoint=http://127.0.0.1:10001/devstoreaccount1;TableEndpoint=http://127.0.0.1:10002/devstoreaccount1;

Take blob service only, the full connection string is:

DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://127.0.0.1:10000/devstoreaccount1;

Or if the SDK or tools support following short connection string:

UseDevelopmentStorage=true;

HTTPS Connection Strings

The full HTTPS connection string is:

DefaultEndpointsProtocol=https;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=https://127.0.0.1:10000/devstoreaccount1;QueueEndpoint=https://127.0.0.1:10001/devstoreaccount1;TableEndpoint=https://127.0.0.1:10002/devstoreaccount1

To use the Blob service only, the HTTPS connection string is:

DefaultEndpointsProtocol=https;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=https://127.0.0.1:10000/devstoreaccount1;

If you used dotnet dev-certs to generate your self-signed certificate, then you need to use the following connection string, because that only generates a cert for localhost, not 127.0.0.1.

DefaultEndpointsProtocol=https;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=https://localhost:10000/devstoreaccount1;QueueEndpoint=https://localhost:10001/devstoreaccount1;

Azure SDKs

To use Azurite with the Azure SDKs, you can use OAuth with HTTPS options:

azurite --oauth basic --cert certname.pem --key certname-key.pem

Azure Blob Storage

You can then instantiate BlobContainerClient, BlobServiceClient, or BlobClient.

// With container url and DefaultAzureCredential
var client = new BlobContainerClient(new Uri("https://127.0.0.1:10000/devstoreaccount1/container-name"), new DefaultAzureCredential());

// With connection string
var client = new BlobContainerClient("DefaultEndpointsProtocol=https;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=https://127.0.0.1:10000/devstoreaccount1;QueueEndpoint=https://127.0.0.1:10001/devstoreaccount1;", "container-name");

// With account name and key
var client = new BlobContainerClient(new Uri("https://127.0.0.1:10000/devstoreaccount1/container-name"), new StorageSharedKeyCredential("devstoreaccount1", "Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw=="));

Azure Queue Storage

You can also instantiate QueueClient or QueueServiceClient.

// With queue url and DefaultAzureCredential
var client = new QueueClient(new Uri("https://127.0.0.1:10001/devstoreaccount1/queue-name"), new DefaultAzureCredential());

// With connection string
var client = new QueueClient("DefaultEndpointsProtocol=https;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=https://127.0.0.1:10000/devstoreaccount1;QueueEndpoint=https://127.0.0.1:10001/devstoreaccount1;", "queue-name");

// With account name and key
var client = new QueueClient(new Uri("https://127.0.0.1:10001/devstoreaccount1/queue-name"), new StorageSharedKeyCredential("devstoreaccount1", "Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw=="));

Storage Explorer

Storage Explorer with Azurite HTTP

Connect to Azurite by click "Add Account" icon, then select "Attach to a local emulator" and click "Connect".

Storage Explorer with Azurite HTTPS

By default Storage Explorer will not open an HTTPS endpoint that uses a self-signed certificate. If you are running Azurite with HTTPS, then you are likely using a self-signed certificate. Fortunately, Storage Explorer allows you to import SSL certificates via the Edit -> SSL Certificates -> Import Certificates dialog.

Import Certificate to Storage Explorer
  1. Find the certificate on your local machine.
    • OpenSSL: You can find the PEM file at the location you created in the HTTPS Setup section above.
    • mkcert: You need to import the RootCA.pem file, which can be found by executing this command in the terminal: mkcert -CAROOT. For mkcert, you want to import the RootCA.pem file, not the certificate file you created.
    • dotnet dev-certs: Storage Explorer doesn't currently work with certs produced by dotnet dev-certs. We are tracking this issue on GitHub here: https://github.com/microsoft/AzureStorageExplorer/issues/2859
  2. Open Storage Explorer -> Edit -> SSL Certificates -> Import Certificates and import your certificate.

If you do not set this, then you will get the following error:

unable to verify the first certificate

or

self signed certificate in chain
Add Azurite via HTTPS Connection String

Follow these steps to add Azurite HTTPS to Storage Explorer:

  1. Right click on Local & Attached -> Storage Accounts and select "Connect to Azure Storage...".
  2. Select "Use a connection string" and click Next.
  3. Enter a name, i.e Azurite.
  4. Enter the HTTPS connection string from the previous section of this document and click Next.

You can now explore the Azurite HTTPS endpoints with Storage Explorer.

Workspace Structure

Following files or folders may be created when initializing Azurite in selected workspace location.

Note. Delete above files and folders and restart Azurite to clean up Azurite. It will remove all data stored in Azurite!!

Differences between Azurite and Azure Storage

Because Azurite runs as a local instance for persistent data storage, there are differences in functionality between Azurite and an Azure storage account in the cloud.

Storage Accounts

You could enable multiple accounts by setting up environment variable AZURITE_ACCOUNTS. See the section above.

Optionally, you could modify your hosts file, to access accounts with production-style URL. See section below.

Endpoint & Connection URL

The service endpoints for Azurite are different from those of an Azure storage account. The difference is because Azurite runs on local computer, and normally, no DNS resolves address to local.

When you address a resource in an Azure storage account, use the following scheme. The account name is part of the URI host name, and the resource being addressed is part of the URI path:

<http|https>://<account-name>.<service-name>.core.windows.net/<resource-path>

For example, the following URI is a valid address for a blob in an Azure storage account:

https://myaccount.blob.core.windows.net/mycontainer/myblob.txt

IP-style URL

However, because Azurite runs on local computer, it use IP-style URI by default, and the account name is part of the URI path instead of the host name. Use the following URI format for a resource in Azurite:

http://<local-machine-address>:<port>/<account-name>/<resource-path>

For example, the following address might be used for accessing a blob in Azurite:

http://127.0.0.1:10000/myaccount/mycontainer/myblob.txt

The service endpoints for Azurite blob service:

http://127.0.0.1:10000/<account-name>/<resource-path>

Production-style URL

Optionally, you could modify your hosts file, to access an account with production-style URL.

First, add line(s) to your hosts file, like:

127.0.0.1 account1.blob.localhost
127.0.0.1 account1.queue.localhost
127.0.0.1 account1.table.localhost

Secondly, set environment variables to enable customized storage accounts & keys:

set AZURITE_ACCOUNTS="account1:key1:key2"

You could add more accounts. See the section above.

Finally, start Azurite and use a customized connection string to access your account.

In the connection string below, it is assumed default ports are used.

DefaultEndpointsProtocol=http;AccountName=account1;AccountKey=key1;BlobEndpoint=http://account1.blob.localhost:10000;QueueEndpoint=http://account1.queue.localhost:10001;TableEndpoint=http://account1.table.localhost:10002;

Note. Do not access default account in this way with Azure Storage Explorer. There is a bug that Storage Explorer is always adding account name in URL path, causing failures.

Note. When use Production-style URL to access Azurite, by default the account name should be the host name in FQDN, like "http://devstoreaccount1.blob.localhost:10000/container". To use Production-style URL with account name in URL path, like "http://foo.bar.com:10000/devstoreaccount1/container", please start Azurite with --disableProductStyleUrl.

Note. If use "host.docker.internal" as request URI host, like "http://host.docker.internal:10000/devstoreaccount1/container", Azurite will always get account name from request URI path, not matter Azurite start with --disableProductStyleUrl or not.

Scalability & Performance

Please reach to us if you have requirements or suggestions for a distributed Azurite implementation or higher performance.

Azurite is not a scalable storage service and does not support many concurrent clients. There is also no performance and TPS guarantee, they highly depend on the environments Azurite has deployed.

Error Handling

Please reach to us if you have requirements or suggestions for a specific error handling.

Azurite tries to align with Azure Storage error handling logic, and provides best-efforts alignment based on Azure Storage online documentation. But CANNOT provide 100% alignment, such as error messages (returned in error response body) maybe different (while error status code will align).

API Version Compatible Strategy

Azurite V3 follows a Try best to serve compatible strategy with Azure Storage API versions:

RA-GRS

Azurite supports read-access geo-redundant replication (RA-GRS). For storage resources both in the cloud and in the local emulator, you can access the secondary location by appending -secondary to the account name. For example, the following address might be used for accessing a blob using the secondary in Azurite:

http://127.0.0.1:10000/devstoreaccount1-secondary/mycontainer/myblob.txt

Note. Secondary endpoint is not read-only in Azurite, which diffs from Azure Storage.

Differences between Azurite V3 and Azurite V2

Both Azurite V3 and Azurite V2 aim to provide a convenient emulation for customers to quickly try out Azure Storage services locally. There are lots of differences between Azurite V3 and legacy Azurite V2.

Architecture

Architecture in Azurite V3 has been refactored, it's more flexible and robust. It provides the flexibility to support following scenarios in the future:

Server Code Generator

Azurite V3 leverages a TypeScript server code generator based on Azure Storage REST API swagger specifications. This reduces manual efforts and ensures alignment with the API implementation.

TypeScript

Azurite V3 selected TypeScript as its programming language, as this facilitates broad collaboration, whilst also ensuring quality.

Features Scope

Legacy Azurite V2 supports Azure Storage Blob, Queue and Table services. Azurite V3 currently only supports Azure Storage blob service. Queue service is supported after V3.2.0-preview. Table service support is currently under discussion.

Azurite V3 supports features from Azure Storage API version 2023-01-03, and will maintain parity with the latest API versions, in a more frequent update frequency than legacy Azurite V2.

TypeScript Server Code Generator

Azurite V3 leverages a TypeScript Node.js Server Code Generator to generate the majority of code from Azure Storage REST APIs swagger specification. Currently, the generator project is private, under development and only used by Azurite V3. We have plans to make the TypeScript server generator public after Azurite V3 releases. All the generated code is kept in generated folder, including the generated middleware, request and response models.

Support Matrix

Latest release targets 2025-01-05 API version blob service.

Detailed support matrix:

Latest version supports for 2025-01-05 API version queue service. Detailed support matrix:

Latest version supports for 2025-01-05 API version table service (preview). Detailed support matrix:

License

This project is licensed under MIT.

We Welcome Contributions!

Go to GitHub project page or GitHub issues for the milestone and TODO items we are used for tracking upcoming features and bug fixes.

We are currently working on Azurite V3 to implement the remaining Azure Storage REST APIs. We finished the basic structure and majority of features in Blob Storage, as can be seen in the support matrix. The detailed work items are also tracked in GitHub repository projects and issues.

Any contribution and suggestions for Azurite V3 is welcome, please goto CONTRIBUTION.md for detailed contribution guidelines. Alternatively, you can open GitHub issues voting for any missing features in Azurite V3.

Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.