84 Zeilen
2,2 KiB
Markdown
84 Zeilen
2,2 KiB
Markdown
## Automatic update
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An update script in your mailcow-dockerized directory will take care of updates.
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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.
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Run the update script:
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```
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./update.sh
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```
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If it needs to, it will ask you how you wish to proceed.
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Merge errors will be reported.
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Some minor conflicts will be auto-corrected (in favour for the mailcow: dockerized repository code).
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### Options
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```
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# Options can be combined
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# - Check for updates
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./update.sh --check
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# - Do not start mailcow after applying an update
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./update.sh --skip-start
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# - Update with merge strategy "ours" instead of "theirs"
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# This will merge in favor for your local changes.
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./update.sh --ours
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# - Don't update, but prefetch images and exit
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./update.sh --prefetch
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```
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## Manual update (not maintained anymore, please use update.sh)
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### Step 1
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```
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docker-compose down
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```
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Fetch new data from GitHub, commit changes and merge remote repository:
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```
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# 1. Get updates/changes
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git fetch origin master
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# 2. Add all changed files to local clone
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git add -A
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# 3. Commit changes, ignore git complaining about username and mail address
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git commit -m "Local config at $(date)"
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# 4. Merge changes, prefer mailcow repository, replace "theirs" by "ours" to change merge strategy
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git merge -Xtheirs -Xpatience
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# If it conflicts with files that were deleted from the mailcow repository, just run...
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git status --porcelain | grep -E "UD|DU" | awk '{print $2}' | xargs rm -v
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# ...and repeat step 2 and 3
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```
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### Step 2
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Pull new images (if any) and recreate changed containers:
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```
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docker-compose pull
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docker-compose up -d --remove-orphans
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```
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### Step 3
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Clean-up dangling (unused) images and volumes:
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It is **very important** to _not_ run these commands when your containers are deleted.
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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.
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```
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docker rmi -f $(docker images -f "dangling=true" -q)
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docker volume rm $(docker volume ls -qf dangling=true)
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```
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## Footnotes
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- There is no release cycle regarding updates.
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