8/4/2023 0 Comments Set update postgresql![]() If something goes wrong, you can always delete the new data directory and start from scratch. What is important to note here is that pg_upgrade is never destructive. “ pg_upgrade -link” therefore promises close to zero downtime. The amount of data is not a limiting factor anymore, because hard links can be created quickly. Instead of copying all the files, pg_upgrade will create hard links for those data files. However, if the new and the old data directory are on the same filesystem, there is a better option: “ pg_upgrade -link”. Depending on the amount of data, this can take quite a lot of time and cause serious downtime. It copies all the data files from the old directory to the new one. Pg_upgrade is here to do a binary upgrade. It follows that pg_dump/ pg_dumpall and restore are not the right tools to upgrade a large multi-terabyte database. The bigger your database is, the more time you will need to do the upgrade. If you dump and reload data, it might take a lot of time. pg_upgrade: Copy data on a binary level.Now let’s take a look at upgrades: if you want to move from PostgreSQL 9.6, 10, 13 or some other older version to PostgreSQL 15, an upgrade is needed. ![]() The following table contains a little summary: Tooling Simply restart all nodes in your PostgreSQL cluster and you are ready to go. The same is true if you are running a HA (high availability) cluster solution such as Patroni. The binary format does not change a quick restart is all you need. ![]() In that case, all you have to do is to install the new binaries and restart the database. ![]() The first scenario I want to shed some light on is updating within a major version of PostgreSQL: What does that mean? Suppose you want to move from PostgreSQL 15.0 to PostgreSQL 15.1. Blog post updated People keep asking: “What are the best ways to upgrade and update my PostgreSQL to the latest version?” This blog post covers how you can upgrade or update to the latest PostgreSQL release.īefore we get started, we have to make a distinction between two things: ![]()
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