I’m currently struggling with upgrading some Postgres DBs on my home-k3s and I’m seriously considering throwing it all away since it’s such a hassle.
So, how do you handle DBs? K8s? Just a regular daemon?
I’m currently struggling with upgrading some Postgres DBs on my home-k3s and I’m seriously considering throwing it all away since it’s such a hassle.
So, how do you handle DBs? K8s? Just a regular daemon?
I can’t think of any situation other than maybe wanting to get better indexing or changing the storage engine that I would need to re-create and re-insert that way so I’m not sure if you have a constraint that necessitates that or not but now I’m curious and I am always curious to find new or better methods so why do you do it that way?
At home to upgrade Postgres I would just make a temporary copy the data directory as a backup and then just change the version of the container and if it’s needed run pg_upgrade as jobs in kubernetes.
In a work environment there is more likely to be clustering involved so the upgrade path depends on that but it’s similar but there really isn’t a need to re-create the data, the new version starts with the same PVCs using whatever rollout strategy applies. Major version upgrades can sometimes require extra steps but the engine is almost always backwards compatible at least several versions.