openstack-helm-infra/mariadb
jinyuanliu 6d808ceb47 Fix Python exceptions
If thread launch_cluster_Monitor() and launch_leader_election() operates on the configmap at the same time, Will cause a error 'Exception in thread "Thread-1"'.
This error will cause the thread to get stuck. Configmap will not be updated and the error "data too old" will be reported.
Just passing kubernetes_API exceptions is not enough, all are more appropriate.

Change-Id: I6baa9ece474f9c937fe9bce2231ef500562e0406
2021-11-01 05:57:33 +00:00
..
files [mariadb-ingress] Uplift Mariadb-ingress to 0.42.0 2021-03-01 18:07:23 -08:00
templates Fix Python exceptions 2021-11-01 05:57:33 +00:00
values_overrides Remove panko residue 2021-05-18 11:01:40 +08:00
.helmignore MariaDB: Move chart to openstack-helm-infra 2018-09-04 18:57:53 -05:00
Chart.yaml Fix Python exceptions 2021-11-01 05:57:33 +00:00
README.rst MariaDB: Move chart to openstack-helm-infra 2018-09-04 18:57:53 -05:00
requirements.yaml Update htk requirements 2021-10-06 01:02:28 +00:00
values.yaml add ingress resources 2021-09-09 19:43:47 +08:00

openstack-helm/mariadb

By default, this chart creates a 3-member mariadb galera cluster.

This chart leverages StatefulSets, with persistent storage.

It creates a job that acts as a temporary standalone galera cluster. This host is bootstrapped with authentication and then the WSREP bindings are exposed publicly. The cluster members being StatefulSets are provisioned one at a time. The first host must be marked as Ready before the next host will be provisioned. This is determined by the readinessProbes which actually validate that MySQL is up and responsive.

The configuration leverages xtrabackup-v2 for synchronization. This may later be augmented to leverage rsync which has some benefits.

Once the seed job completes, which completes only when galera reports that it is Synced and all cluster members are reporting in thus matching the cluster count according to the job to the replica count in the helm values configuration, the job is terminated. When the job is no longer active, future StatefulSets provisioned will leverage the existing cluster members as gcomm endpoints. It is only when the job is running that the cluster members leverage the seed job as their gcomm endpoint. This ensures you can restart members and scale the cluster.

The StatefulSets all leverage PVCs to provide stateful storage to /var/lib/mysql.

You must ensure that your control nodes that should receive mariadb instances are labeled with openstack-control-plane=enabled, or whatever you have configured in values.yaml for the label configuration:

kubectl label nodes openstack-control-plane=enabled --all