![]() Hardcode them to: SYNC_PORT=8080 SYNC_BASE=/anki_data If these env variables are passed into the container with different values, they are ignored. The reasons is if the user modifies SYNC_BASE they risk data loss since anki-sync-server will no longer write data into the volume. If they change SYNC_PORT they need to also change it when mapping this internal port to the external port of the container, which could be confusing plus it has no benefit to allow this since it's always possible to change the external port even if the internal port is fixed to 8080 (e.g. `-p 1234:8080`). In both cases there is no benefit to making these values configurable and there are risks associated. Unfortunately there is no easy way of implementing this for the Dockerfile.distroless so it's up to the user not to modify these values. |
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.. | ||
Dockerfile | ||
Dockerfile.distroless | ||
entrypoint.sh | ||
README.md |
Building and running Anki sync server in Docker
This is an example Dockerfile contributed by an Anki user, which shows how you can run a self-hosted sync server, similar to what AnkiWeb.net offers.
Building and running the sync server within a container has the advantage of fully isolating the build products and runtime dependencies from the rest of your system.
Requirements
Aspect | Dockerfile | Dockerfile.distroless |
---|---|---|
Shell & Tools | ✅ Includes shell and tools | ❌ Minimal, no shell or tools |
Debugging | ✅ Easier debugging with shell and tools | ❌ Harder to debug due to minimal environment |
Health Checks | ✅ Supports complex health checks | ❌ Health checks need to be simple or directly executable |
Image Size | ❌ Larger image size | ✅ Smaller image size |
Customization | ✅ Easier to customize with additional packages | ❌ Limited customization options |
Attack Surface | ❌ Larger attack surface due to more installed packages | ✅ Reduced attack surface |
Libraries | ✅ More libraries available | ❌ Limited libraries |
Start-up Time | ❌ Slower start-up time due to larger image size | ✅ Faster start-up time |
Tool Compatibility | ✅ Compatible with more tools and libraries | ❌ Compatibility limitations with certain tools |
Maintenance | ❌ Higher maintenance due to larger image and dependencies | ✅ Lower maintenance with minimal base image |
Custom uid/gid | ✅ It's possible to pass in PUID and PGID | ❌ PUID and PGID are not supported |
Building image
To proceed with building, you must specify the Anki version you want, by replacing <version>
with something like 24.11
and <Dockerfile>
with the chosen Dockerfile (e.g., Dockerfile
or Dockerfile.distroless
)
# Execute this command from this directory
docker build -f <Dockerfile> --no-cache --build-arg ANKI_VERSION=<version> -t anki-sync-server .
Run container
Once done with build, you can proceed with running this image with the following command:
# this will create anki server
docker run -d \
-e "SYNC_USER1=admin:admin" \
-p 8080:8080 \
--mount type=volume,src=anki-sync-server-data,dst=/anki_data \
--name anki-sync-server \
anki-sync-server
If the image you are using was built with Dockerfile
you can specify the
PUID
and PGID
env variables for the user and group id of the process that
will run the anki-sync-server process. This is valuable when you want the files
written and read from the /anki_data
volume to belong to a particular
user/group e.g. to access it from the host or another container. Note the the
ids chosen for PUID
and PGID
must not already be in use inside the
container (1000 and above is fine). For example add -e "PUID=1050"
and -e "PGID=1050"
to the above command.
If you want to have multiple Anki users that can sync their devices, you can
specify multiple SYNC_USER
as follows:
# this will create anki server with multiple users
docker run -d \
-e "SYNC_USER1=admin:admin" \
-e "SYNC_USER2=admin2:admin2" \
-p 8080:8080 \
--mount type=volume,src=anki-sync-server-data,dst=/anki_data \
--name anki-sync-server \
anki-sync-server
Moreover, you can pass additional env vars mentioned
here. Note that SYNC_BASE
and
SYNC_PORT
will be ignored. In the first case for safety reasons, to avoid
accidentally placing data outside the volume and the second for simplicity
since the internal port of the container does not matter given that you can
change the external one.
Upgrading
If your image was built after January 2025 then you can just build a new image and start a new container with the same configuration as the previous container. Everything should work as expected.
If the image you were running was built before January 2025 then it did not contain a volume, meaning all syncserver data was stored inside the container. If you discard the container, for example because you want to build a new container using an updated image, then your syncserver data will be lost.
The easiest way of working around this is by ensuring at least one of your devices is fully in sync with your syncserver before upgrading the Docker container. Then after upgrading the container when you try to sync your device it will tell you that the server has no data. You will then be given the option of uploading all local data from the device to syncserver.