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Please refer to Azurite official GitHub repository for more information.
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.
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.
Just run blob service:
docker run -p 10000:10000 mcr.microsoft.com/azure-storage/azurite azurite-blob --blobHost 0.0.0.0
Run the image as a service (-d
= daemon) named azurite
and restart unless specifically stopped (this is useful when re-starting your development machine for example)
docker run --name azurite -d --restart unless-stopped -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite
Run Azurite V3 docker image with customized persisted data location
docker run -p 10000:10000 -p 10001:10001 -p 10002:10002 -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 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.
Please refer to this document for More supported parameters like HTTPS or OAuth.
Customize HTTP Keep-Alive behavior To avoid TCP RST related errors in tests with SDK which not properly handle KeepAlive-Timeout response header, you could increase keep alive timeout, increase values in seconds.
docker run azurite --blobHost 0.0.0.0 --blobKeepAliveTimeout 300 --queueHost 0.0.0.0 --queueKeepAliveTimeout 300 --tableHost 0.0.0.0 --tableKeepAliveTimeout 300
Please refer to this document.
Please go to Azurite GitHub repository issues for known issues.
Please go to Azurite GitHub repository issues for any feedbacks.
This project is licensed under MIT.