A while back I created an instance of mariadb inside a docker container on a machine running Ubuntu. I've since learned that I'll need to update some settings to keep things running smoothly, but when I created the image, I did not specify any .cnf volumes. How do I update/create a .cnf file for this image? I'm a complete newb when it comes to docker, so please spoon-feed me.
I've tried accessing the file from within the image, but there are no text editors.
The defaults of MariaDB work pretty much out of the box (container) for small instances. You should only need to change setting when problems occur.
If you have spare memory you can increase your innodb_buffer_pool_size.
With the mariadb container, you don't need to edit the .cnf files, you can just add a few options on the command line per the docs (that you should defiantly read).
Recommend using the defaults for a while, and if you encounter problems, include a new question on dba.stackexchange.com that includes show global status output and specifics on the queries that are slow (show create table TBLNAME / explain QUERY).
Related
I would like to enable caching in ArangoDB, automatically when my app start.
I'm using docker-compose to start the whole thing but apparently there's no simple parameter to enable caching in ArangoDB official image.
According to the doc, all the files in /docker-entrypoint-initdb.d/ are executed at container start. So I added a js file with that code:
require('#arangodb/aql/cache').properties({mode: 'on'});
It is indeed executed but caching doesn't seem to be enabled (from what I see with arangosh within the container).
My app is a JS app using arangojs, so if I can do it this way, I'd be happy too.
Thanks!
According to the performance and server config docs, you can enable caching in several ways.
Your method of adding require("#arangodb/aql/cache").properties({ mode: "on" }); to a .js file in the /docker-entrypoint-initdb.d/ directory should work, but keep an eye on the logs. You may need to redirect log output with a different driver (journals, syslog, etc.) to see what's going on. Make sure to run the command via arangosh to see if it works.
If that's a bust, you might want to see if there is a way to pass parameters at runtime (such as --query.cache-mode on). Unfortunately, I don't use Docker Compose, so I can't give you direct advice here, but try something like -e QUERY.CACHE-MODE=ON
If there isn't a way to pass params, then you could modify the config file: /etc/arangodb3/arangod.conf.
And don't forget about the REST API methods for system management. You can access AQL configuration (view and alter) in the Web UI by clicking on the Support -> Rest API -> AQL.
One thing to keep in mind - I'm not sure if the caching settings are global or tied to a specific database. View the configuration on multiple databases (including _system) to test the settings.
I'm wondering if there is a method to define, and launch, a group of services configured in a docker-compose.yml file.
To make a real world example, I'm working with laradock: it has a lot of services configured (I think more than 50) - You have to "select" which one to run every time.
In fact to run a normal php + apache + mysql stack, you can use:
docker compose up workspace apache2 mysql
The final question is: can those three services be grouped under an alias, like "amp" and this alias used to launch these services with:
docker compose up amp ?
What I have tried, already
I thought about duplicating the docker-compose.yml into a simpler one, where only the required services are present.
Anyway this configuration I'm using (laradock) it's quite complex, being able to define an alias, would lead to a much easier to handle configuration.
Imagine the case where you need to add one more service to the group: instead of doing cut & paste of it's configuration(s), you just add it's name, and nothing else.
Is this possibile somehow?
Thank you
One simple way that might do what you want is to create an alias for your shell/terminal. To do that in a "permanent" way you might need to edit the ~/.bashrc or ~/.bash_profile files. For reference you can check, for example, this link here.
That way if you want to change the services of a "group" (which will be defined by the alias), you will just need to edit the line for that alias in the file.
does anyone know if this is possible?
All I can find in docs is reference to enabling docker experimental features, but not the kubernetes experimental features.
I tried this, but still get error.
k alpha debug -it exchange-pricing-865d579659-s8x6d --image=busybox --target=exchange-pricing-865d579659-s8x6d
error: ephemeral containers are disabled for this cluster (error from server: "the server could not find the requested resource").
Thanks
I had the same intent (as have others in this feature request). After several hours of trial and error, I finally found out a way to do so.
Steps:
Depending on which file you're trying to edit, you may need to fully shut down Docker Desktop, and restart WSL. (right-click tray-icon and press "Quit Docker Desktop", then run wsl --shutdown, then run wsl)
Open the [...]/kubeadm/manifests folder, in the Docker filesystem.
On Windows, navigate Windows Explorer to:
For Docker Desktop 4.2.0: \\wsl$\docker-desktop-data\version-pack-data\community\kubeadm\manifests
For Docker Desktop 4.11.0: \\wsl$\docker-desktop-data\data\kubeadm\manifests
Open the kube-controller-manager.yaml, kube-apiserver.yaml, and kube-scheduler.yaml files, adding the line below:
spec:
containers:
- command:
[...]
- --feature-gates=EphemeralContainers=true <-- add this line
Start Docker Desktop again.
It looks so easy when its already figured out, huh? Well trust me, it was a pain to find out.
Some of the slowdowns I hit:
It took me quite a while to even find those manifest files. (eventually found it using grepWin, searching through the whole \\wsl$\docker-desktop-data folder for any matches of a line I grabbed from the kube-apiserver-docker-desktop pod's config, which I viewed using Lens)
Once I found it, I got confused by this documentation. When I read FEATURE STATE: Kubernetes v1.22 [alpha], I thought that meant you needed version 1.22 or higher of Kubernetes for the feature to be available. This caused a huge wild goose chase where I tried to change the version of Kubernetes that was being launched in Docker Desktop, which Docker Desktop didn't seem to like. (in retrospect, the issue may have just been the minor one in point 3 below...)
When I first made changes to the manifest files, I was using Notepad++. And despite my liking Notepad++, it's apparently not quite as smart as vscode in the following regard: it does not automatically detect the indentation type for yaml files. Thus, when I pressed tab to create an indent, so I could add the new flag to the argument list, it added it as a tab character rather than spaces. This caused Kubernetes to fail reading of the file. That might not be so bad if Kubernetes gave a sane error message for that, but instead it merely gave the message unexpected EOF. And I didn't even see that error message at first because it was not being propagated to the kube-controller-manager-docker-desktop pod (which was the only relevant one that wasn't immediately erroring/closing). Anyway, I didn't realize this was the problem at the time, so...
I decided to try bypassing the manifest-files and applying my modification to the etcd data-store directly. In retrospect, this was not a good idea, because the etcd data-store is pretty complex, the tooling is substandard, and the documentation is substandard. I spent a ton of time just trying to figure out how to send commands to read and write data to it (eventually managed to do so by calling etcdctl within the etcd-docker-desktop pod). I spent further time still writing up a NodeJS script capable of reading all the data as JSON, storing it in a dump file, and being able to write changes to entries back despite there being 3+ levels of quoting involved (I eventually was able to use stdin to pass the value rather than as part of the command string, to avoid quotation-mark-inception). After all the work on etcd reading/writing above, I found it didn't work anyway because Kubernetes invariably "breaks" if anyone else writes to its etcd data-store. (even if you write the exact same value that had been there before -- as verified by comparing the dumps before and after)
After all of the above, I decided to have one last go with just adding the flags to mentioned manifest files. Was still getting the startup failure/error, but at the very end, I decided I wanted to see exactly what about my changes was causing Kubernetes to reject them. So I tried commenting out my added line; the error remained. I thought maybe it was a checksum-based rejection then. But then I thought, maybe the YAML parser that Kubernetes is using is just outdated and is finicky about what comments it is able to recognize. So I tried moving the comment around to different places, and was puzzled when the manifest was being accepted just by moving the comment to the root level. I moved it back to various locations, with it working and not working, until I thought to try making the line "half-indented" since it's "in-between" the working and non-working versions. That's when I noticed the line had a tab as its indent. And then it hit me; are the other lines also using tabs? I checked, and nope, they were using spaces. And that's when I realized I had wasted the last few hours on something I coulda just fixed with a simple indent change.
The moral of the story for some is that YAML is a bad configuration format, because it makes it easy to make trivial errors like this. But I actually place the blame more on whatever parser Kubernetes is using for the YAML files; it is unacceptable that a YAML parser would encounter an indentation mismatch and give a message so generic as unexpected EOF. I don't know what the identity of that YAML parser is, but I'm tired enough of the subject that I'm not even going to look into it right now. If one of you finds it, please make an issue report for it -- perhaps including this story as a real-world example of the pain that ambiguous error messages can cause.
Since Ephemeral Containers is still an alpha feature, it is disabled by default.
As you can read here, for this to work, it requires the EphemeralContainers feature gate to be enabled, and Kubernetes client and server version v1.16 or later.
As to the 2nd requirement I assume both your Kuberntes server and client versions are v1.16 or later but it looks like, for the time being, the 1st requirement cannot be met on Docker Desktop. According to this issue, it currently doesn't support enabling Feature Gates.
However you may still try to ssh to your master node and edit the following files:
/etc/kubernetes/manifests/kube-apiserver.yaml
/etc/kubernetes/manifests/kube-scheduler.yaml
by adding inside the command section:
--feature-gates=EphemeralContainers=true
Then you need to delete those pods so they are recreated with new settings applied. You'll find them by running:
kubectl get pods -n kube-system
I'm very new to containers/docker and it is absolutely changing my life so far however I have one question I'm not really finding a solid answer on. I apologize in advance if this qeustion too basic / silly :)
In my Node app I use a queue to spawn a Docker instance with a browser to screenshot some pages before terminating the docker instance and process the next item in the queue (eventually will process several items concurrently).
In my Dockerfile I added the COPY command to create a static copy of my codebase which is used in the Docker instance, including the chrome browser etc.
If I view say 100,000 pages the browsers cache would build up so my question is, does docker create a fresh version of the data used in the COPY command for every instance launched? I know I can clear the browsers cache on launch etc, but I'm more curious to know whether or not every launch is an original vanilla copy of the initial build, so nothing is shared/cached with subsequent launches.
Yes. Every run is vanilla copy of initial build. If you require data to be persistent, you can use volumes. Check this official guide for more information: Manage data in Docker
I'm new in docker so I want to know what is the better approach to use it. I have a Project that needs three components to work:
Jboss server application
PostgreSQL
A spring boot application
So, based on it my questions are:
1) Should I have one docker image for each component mentioned above? If yes, why not just put all together? My idea of docker is simplify the deploy of a application so put all together will make easy to install this app in another environment, right?
2) If yes (one docker image per component), spring boot is just a "Java -jar" command is really necessary have a docker image to it?
3) In case of PostgreSQL should I have the image with all my database structure and data or just vanilla PostgreSQL without anything?
To answer your questions
1) should I have one docker image for each component mentioned above ?
If yes, why not just put all together? My idea of docker is simplify
the deploy of a application so put all together will make easy to
install this app in another environment, right?
It is best to put them on a separate components so that:
You can isolate cases(will help you in debugging)
You can selectively scale(horizontally) specific stateless components when you run on k8s or docker-swarm
You can set hardware limit(RAM, CPU, etc) per component
You have different base images(might be useful for optimizations)
You want to build & test your components independently
List goes on
2) if yes (one docker image per component), spring boot is just a
"Java -jar" command is really necessary have a docker image to it?
Please check the list mentioned above (why it's best to separate) if it fits your use case. Note that adding it to existing components will affect your scaling strategy
Example - you run 3 instances of jboss component with spring boot app, you will spawn 3 instances for both of them w/c you might not want.
3) in case of PostgreSQL should I have the image with all my database
structure and data or just vanilla PostgreSQL without anything?
I would recommend that you mount your structure & data to the host volume, so that it doesn't get lost when the image is restarted. see example so i'll recommend using vanilla postgres
I hope this helps you in some way