Comments (9)
Hi @law, yes, there's usually 1-2 days delay after a Matomo release is published as the release processes are not connected and are run by different maintainers. Please check back again in a day or two.
/ping @J0WI
from docker.
Oh, I'm using docker and I've pressed the update to 5.0 button but now I get a Error 500 though the server isn't logging any errors. Does someone maybe know how to roll back to 4.16 as now matomo is broken for me.
from docker.
@Nitwel I don't think it'd be related, updating to 5.0.0 via the UI and using a new docker image including Matomo 5.0.0 (that is not released yet) are two separate issues.
Do you see any errors/any extra information when you enable development mode temporarily?
from docker.
Maybe, what I was thinking is that this issue might solve itself when the v5.0 docker image releases and updating to that makes matomo work again. I've added logging and enabled the developer mode but I'm not getting any error messages to show up either in the terminal nor in the logs file that doesn't get created.
from docker.
Okay, I was able to make matomo run again by completely resetting the mounted files and installing it onto the existing database again. In case someone else tried to update to version 5.0.0 using docker at the moment, that's what you can do, but make sure to back up your old files!
from docker.
5.0.0 was apparently built successfully a couple of days ago, but is still not in dockerhub.
https://github.com/matomo-org/docker/actions/runs/7260092597/job/19778561735
https://hub.docker.com/_/matomo/tags
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https://github.com/docker-library/faq#an-images-source-changed-in-git-now-what
from docker.
Thanks all, I see that Docker Hub has been updated with the Matomo 5 images. However - and I freely admit this might be a PEBKAC problem - I can't see to get my local docker-compose to update and grab the new images.
A quick 'docker compose pull' in the same directory as my docker-compose.yml file claims I've pulled the latest, but a check with container inspect
shows the Matomo 4.16 image:
docker container inspect matomo-app-1 | jq -r '.[].Image'
sha256:e3436d993b559d08937cce5092d26411a9942643d8cd4fa6c7ca53ff2cb7838c
Per Dockerhub, I would expect a matomo:fpm-alpine
hash of cd1c43eb4bd
for the one built with Matomo 5.
I've tried various methods of clearing this, including stopping Matomo (docker compose down
), clearing the images but saving the volumes (docker system prune -f -a), and re-pulling with docker compose pull
, but I can't get a newer image hash than e3436d993b55
. Full command list and output here
This is on a fairly standard/straightforward Ubuntu 22.04.3 host, x86_64 kernel, 5:24.0.7-1~ubuntu.22.04~jammy
docker-ce package from the official download.docker.com
repo, etc.
I am surely missing something very simple here, but I'll be darned if I can figure out what.
from docker.
Closing due docker-library/official-images@5553b14
from docker.
Related Issues (20)
- How to Toggle off internal apache access logs HOT 1
- Add a disclaimer/caveat to the ReadMe HOT 5
- 500: Internal Server Error (Yes i read other issues) HOT 1
- Error: Matomo is already installed. Original error was "Mysqli prepare error: Table 'matomo.matomo_option' doesn't exist".
- LoginSaml Logs that the response was recieved at a different endpoint
- difference in nginx template and docker template
- Tracking code verification failed. Please verify that you have installed the code correctly
- nginx config differs from official documentation
- Version 5.0.1 not updated after docker pull HOT 2
- Matomo Web UI doesn't recognize new Version
- LOAD DATA INFILE - warning that wasn't in versions before
- SSL Certificate Expiry Issue HOT 1
- docker version mamoto db connection failed with latest version of mariadb
- Does not work - Cannot connect to DB HOT 2
- Upgrading HOT 2
- Docker container stops after a day or two with message "caught SIGWINCH, shutting down gracefully"
- Add an environment variable to rename matomo.js and matomo.php
- Feature request: Don't compress Matomo within the container
- Feature request: Kubernetes-specific container
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from docker.