mailcow-dockerized-docs/docs/install-update.md

Automatic update

An update script in your mailcow-dockerized directory will take care of updates.

But use it with caution! If you think you made a lot of changes to the mailcow code, you should use the manual update guide below.

Run the update script:

./update.sh

If it needs to, it will ask you how you wish to proceed. Merge errors will be reported. Some minor conflicts will be auto-corrected (in favour of the mailcow: dockerized repository code).

Manual update

Step 1

You may want to backup your certificates, as an upgrade from an older mailcow: dockerized version may remove these files:

cp -rp data/assets/ssl /tmp/ssl_backup_mailcow

Fetch new data from GitHub, commit changes and merge remote repository:

# 1. Get updates/changes
git fetch origin master
# 2. Add all changed files to local clone
git add -A
# 3. Commit changes, ignore git complaining about username and mail address
git commit -m "Local config at $(date)"
# 4. Merge changes, prefere mailcow repository
git merge -Xtheirs -Xpatience

# If it conflicts with files that were deleted from the mailcow repository, just run...
git status --porcelain | grep -E "UD|DU" | awk '{print $2}' | xargs rm -v
# ...and repeat step 2 and 3

Check data/assets/ssl for your certificates (and dhparams.pem). If you miss them, recover your files:

cp -rp /tmp/ssl_backup_mailcow/* data/assets/ssl/

Step 2

When upgrading from a version older than May 13th, 2017 to a version released after that date, you need to run the following command first as network settings have been changed:

docker-compose down

Pull new images (if any) and recreate changed containers:

docker-compose pull
docker-compose up -d --remove-orphans

Step 3

Clean-up dangling (unused) images and volumes:

It is very important to not run these commands when your containers are deleted. Running docker-compose down - for example - will delete your containers. Your volumes are now in a dangling state! Running the commands shown below, will remove your volumes and therefore your data.

docker rmi -f $(docker images -f "dangling=true" -q)
docker volume rm $(docker volume ls -qf dangling=true)