Charmed MySQL K8s
- By Canonical Data Platform
Channel | Revision | Published | Runs on |
---|---|---|---|
8.0/stable | 75 | 20 Apr 2023 | |
8.0/candidate | 75 | 20 Apr 2023 | |
8.0/beta | 75 | 20 Apr 2023 | |
8.0/edge | 83 | 26 May 2023 |
juju deploy mysql-k8s --channel 8.0/stable
You will need Juju 2.9 to be able to run this command. Learn how to upgrade to Juju 2.9.
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Platform:
How to deploy and manage units
Basic Usage
To deploy a single unit of MySQL using its default configuration
juju deploy mysql-k8s --channel 8.0 --trust
It is customary to use MySQL with replication. Hence usually more than one unit (preferably an odd number to prohibit a “split-brain” scenario) is deployed. To deploy MySQL with multiple replicas, specify the number of desired units with the -n
option.
juju deploy mysql-k8s --channel 8.0 --trust -n <number_of_replicas>
To retrieve primary replica one can use the action get-primary
on any of the units running MySQL:
juju run-action mysql-k8s/leader get-primary --wait
Similarly, the primary replica is displayed as a status message in juju status
, however one should note that this hook gets called on regular time intervals and the primary may be outdated if the status hook has not been called recently.
Further we highly suggest configuring the status hook to run frequently. In addition to reporting the primary, secondaries, and other statuses, the status hook performs self healing in the case of a network cut. To change the frequency of the update status hook do:
juju model-config update-status-hook-interval=<time(s/m/h)>
Note that this hook executes a read query to MySQL. On a production level server this should be configured to occur at a frequency that doesn’t overload the server with read requests. Similarly the hook should not be configured at too quick of a frequency as this can delay other hooks from running. You can read more about status hooks here.
Replication
Both scaling-up and scaling-down operations are performed using juju scale-application
:
juju scale-application mysql-k8s <desired_num_of_units>
Warning: scaling-down to zero units will destroy your data!
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