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Vue MySQL Example

A simple VueJS frontend for a minimal MySQL database

Manual / local-dev installation

Bootstrap the backend

Install MySQL, then:

CREATE DATABASE dbTest2;
USE dbTest2;
SOURCE sql/00_create.sql
SOURCE sql/01_add_data.sql
GRANT ALL PRIVILEGES ON `dbTest2`.* TO 'test'@'%' IDENTIFIED BY 'VerySecret' WITH GRANT OPTION;

Bootstrap the frontend

  • npm install
  • npm run buildprod
  • (alternatively: npm run builddev)
  • ./server.sh start

And you're good to go.

Building a Docker image

docker image build --build-arg DB_SERVER="yadda" --build-arg DB_PASSWD="verysecret" -t frontend:latest .

For the details see Dockerfile.

Building by Jenkins

Just wraps a regular Docker build, with Jenkins parameters for the connection settings and a Jenkins credential for the name+password of the DB user.

NOTE: These are the parameters that will be built into the image as defaults. If needed, they can be overridden on a per-instance basis by regular environment variables.

Testing

As the DB is not part of this build, npm test will only test the server connectivity by checking http://127.0.0.1:8080/rest/healthz.

Another test route is http://127.0.0.1:8080/rest/healthz/hostname, which returns 200 + the hostname, so we can use it to test load balancer setups.

Building for RHOO

Before anything else, here is the official example project, it is very well documented and it gives a known-good starting point to start from.

RHOO builder pods are also running in containers (and without root privileges), so a usual Docker build is out of question.

Instead of that, the build image is chosen according to the 'type' of the sources (see here), and in case of the .js build, the image contains another tooling layer, the source-to-image.

Basically, it's a minimalistic framework that employs 4 shell scripts to build ('assemble'), and to run ('run') the application (the other two are for artifact re-use and usage messages).

The build process of s2i collects the sources and the scripts and the artifacts to a tarball, transfers it to a pristine container, then executes the scripts, and then the image of this container will be the result of the build process. (And will be tracked by an ImageStream, but that's another story.)

This whole process starts when we choose the Source-to-Image build strategy. (Again, the other strategy, 'pipeline' won't work, because its Jenkins cannot execute docker.)

Technically, the command would be oc new-app https://github.com/..., and all the details would be deduced/guessed by oc, which is usually OK if the things are working and there are no bugs left in our project, and when it is guessed right.

Here, the presence of Jenkinsfile fools the mechanism to treat it as a 'pipeline' strategy build, which it is not, so we must specify this explicitely: oc new-app --strategy=source https://github.com/gsimon75-web/Vue_MySQL_Example

On the other hand, during development we may need some more precise control, so we may use a template file: oc new-app -f openshift/templates/app.json.

So, basically, this template file will describe the build environment, and the actual build process will be described by the 'assemble' s2i-script. To which our next problem is related...

Build process vs. OOM killer

The core of the default assemble script is 3 commands:

  1. NODE_ENV=development npm install
  2. npm run build --if-present
  3. npm prune

For the official example it works, for a somewhat heavier project (like this, with all the VueJS build-deps) the npm build step gets killed off by the OOM killer. I don't really know why, the memory limit is 2 GBs, and with the same versions ([email protected], [email protected]) it seems to require some 300 MBs, but it does get killed.

Fortunately, we can override the default scripts, either by modifying the template .json, or by adding .s2i/bin/assemble.

This latter file is based on the official one, the only difference (apart from fixing some un-quoted var references) is that it installs the npm packages one by one. Definitely slower, but at least it survives to do the job...

Creating the DB service

$ oc new-app mariadb -e MYSQL_ROOT_PASSWORD='verysecret'
--> Found image 0bc796f (12 days old) in image stream "openshift/mariadb" under tag "10.2" for "mariadb"
...
--> Success
    Application is not exposed. You can expose services to the outside world by executing one or more of the commands below:
     'oc expose svc/mariadb' 
    Run 'oc status' to view your app.

Don't run that oc expose ..., it wouldn't do us any good.

It would create a Route, which is actually an HTTP or TLS reverse proxy: it would dispatch HTTP traffic by the path part of its URL or TLS traffic by its SNI option to various services.

The MySQL protocol is neither HTTP-, nor TLS-based, so routes are useless for us.

Initialising the DB

We should

  1. Add a DB user and set its password and privileges
  2. Create the table structure
  3. (Optionally) Insert some example data content

We have the sql/00_create.sql and 01_add_data.sql scripts for this, but we need to access the DB to run them, and this is not that trivial on RHOO as it seems.

Exposing HTTP or TLS-based services would be easy, it seems to me that this is the primary application area that RHOO was designed for, but for any other protocols like MySQL/MariaDB it seems impossible.

Here is the documentation, and here are the problems I encountered:

  1. Routers work with HTTP or TLS, out of question for us.
  2. ExternalIP and NodePort needs access to the external IP pool of the cluster, that needs admin rights, what we don't have on RHOO.
  3. LoadBalancers, well, they almost work, but the documentation about this seems somewhat bogus...

LoadBalancer issues

Here is the documentation.

  1. "You must expose the service as a route using the oc expose command."

    Nope. We are talking about a non-HTTP/TLS protocol, why on Earth would we create a Route for it?! I've actually tested it, and the LoadBalancer functionality (as much as actually works of it) doesn't need this.

  2. "On the master ..."

    On RHOO I don't have any masters, so let's read this as 'On any pods in the cluster'.

  3. curl <pod-ip>:<port>

    Or rather <cluster-ip-of-service>:<port>, as we are talking to services and not to pods.

  4. "Example 1. Sample load balancer configuration file"

    The selector is a pod selector (sigh), so it must match the label of the DB pod and not of the DB service, so it's not name: mysql, but rather app: mysql (or app:mariadb in our case)

  5. "On the master ... curl <public-ip>:<port>"

    On any within-cluster pod ... curl <cluster-ip-of-loadbalancer>:<port>.

    And up to this point it actually works, the problems come when trying this from the outside world.

  6. "On the node ... Restart the network to make sure the network is up."

    It is already up. First: why would it be down, and second: we have just tested it via the DB service IP and via the LoadBalancer as well, and it worked.

    This is like the joke tech-support response of "Restart your computer. If it is switched off, then switch it on and then restart it."

  7. "Add a route between the IP address of the exposed service on the master..."

    What? That's why the LoadBalancer comes into the picture, so the world will access the LB and the LB will access the DB service, now from within the cluster.

    Btw., even adding a 'free for all' allow-everything rule doesn't change anything.

  8. "...to make sure you can reach the service using the public IP address..."

    Whose 'public IP address'? The one of the DB service, or the one of the LB service (because that's a service too)? And to reach which service, the DB or the LB?

  9. "On the system that is not in the cluster: Restart the network to make sure the network is up."

    Have the client restart their network? Ehmm... the most polite word I have for this is 'ridiculous'.

  10. "Add a route between the IP address..."

    What? On the not-in-cluster client?! Oh, I see, it's a copy-paste of the 'On the node' section...

  11. And here ends the section, in the middle of nowhere.

    And it isn't working.

What I actually managed to achieve:

  • From within the cluster, the DB was reachable both via the DB service cluster IP and via the LB service cluster IP.

  • From outside the cluster via the External-IP (loadBalancer.ingress.hostname in resource yaml on the web ui) it hasn't responded, neither on the port (3306), nor on the nodePort (the one above 30000).

From within the cluster it is accessible via the LoadBalancer, so that (as a functionality) works fine, but from the world it isn't accessible, so

  • Either there is something with the firewalling between the world and the External-IP of the LB, and the traffic doesn't reach the LB
  • Or it does, but there's some problem with some source ACLs of the LB, and it discards the from-world traffic it gets

As I don't have access neither to the LB nor to the firewall, I can't investigate this issue further. I tried to look it up in the docs, but... as you saw, they aren't that useful on this level of details.

Btw, someone else seems to have reached a similar conclusion.

Via port-forward

Using the good old Kubernetes feature we can open a port on the local machine and tunnel its traffic to a given port on a pod through the Kubernetes management channels, see kubectl port-forward --help.

This way we can access the 3306/tcp port on the first (and now only) pod of the DB service, and finally do that DB initialisation.

First of all, edit sql/00_create.sql and

  1. Replace that 127.0.0.1/8 with % so the user can connect from anywhere

  2. I know it would be nicer to enable only the cluster subnet, but on RHOO we don't have the rights to get that info (oc get clusternetworks, I think)

  3. Enter a more elaborate DB user password (I'll use SsBYnFOIatxos-U4No8J in this example)

  4. /oc-mysql.sh -h svc/mariadb -u root < sql/00_create.sql

  5. /oc-mysql.sh -h svc/mariadb -u root < sql/01_add_data.sql

Please note that we haven't used the DB root password, because from the viewpoint of the DB we are connecting from localhost to localhost (because of the tunneling), and that is a different case than connecting from other hosts.

If we tried connect to localhost with password, we'd get an Access Denied, because that password is for connecting from outside. If we tried to connect to the cluster IP of the DB service, then we'd need the password, and it would indeed work.

Well, that was the DB initialisation.

(Plus 2 days of investigating for me, while I chewed through all the docs and all the articles on the Net and tried and checked every f...ine possible approach and option... No, I don't think too high of the documentation of this part.)

That oc-mysql.sh script

Set up a tunnel to the pod or service (actually, the first pod of it) given by the -h parameter to the port given by the -P parameter (default 3306), and then start the mysql CLI, connecting to the local endpoint of this tunnel, passing on the rest of the arguments.

Plus some bash trickery about argument manipulating and async coproc handling, because after all this struggle I wanted to do it right.

To maintain a tunnel, the command oc port-forward stays running until we shut it down, so we must run it in the background.

But the port number of the local endpoint of the tunnel is known only when the tunnel has been established (after a few seconds), and it's written to the output in a human-readable form only, so we need to

  1. Launch oc port-forward asynchronously
  2. Parse its output lines to filter out the local port number
  3. Wait until we actually get it
  4. Leave oc port-forward running
  5. Do what we want to do through the tunnel
  6. Finally shut oc port-forward down

Rarely used, but that's exacly the kind of async command execution what the coproc command of bash is for (man bash, search for 'Coprocesses').

As of the commandline parameters, we should pass everything to the mysql CLI, except for two: the destination host and port. So we copy the arguments to a temporary array, filtering and parsing the -h, --host, --host=..., -P, --port, --port=..., and finally overwriting the positional parameters with this array.

(Quite simple, as long as we're careful about when to trigger word splitting and when not, like noting those subtle differences between $* and $@, double-quoted and not.)

Then, we just invoke mysql with the host and port of the tunnel local endpoint and the rest of the parameters, and finally we shut down the tunnel by killing the oc port-forward command.

Directing the app to the DB service

Just set its environment variables:

oc set env dc/vuemysqlexample DB_SERVER=mariadb DB_PASSWORD='SsBYnFOIatxos-U4No8J'