Neues vom PostgreSQL Planet

PostgreSQL 13 will officially reach End-of-Life (EOL) on November 13, 2025. After this date, the PostgreSQL Global Development Group will stop releasing security patches and bug fixes for this version. That means if you’re still running PostgreSQL 13, you’ll soon be on your own with no updates, no community support, and growing security risks. Why […]

In the third installment of the PostGIS Performance series, I wanted to talk about performance around bounding boxes.

Geometry data is different from most column types you find in a relational database. The objects in a geometry column can be wildly different in the amount of the data domain they cover, and the amount of physical size they take up on disk.

PostgreSQL 19 changes this week ALTER SUBSCRIPTION : REFRESH SEQUENCES syntax added error_on_null() added for checking if the input is the NULL value COPY TO now works with partitioned tables full text search : database default collation now used for parsing psql : Improve tab completion for large objects. PostgreSQL 19 articles PostgreSQL 18 articles Waiting for PostgreSQL 19 – Support COPY TO for partitioned tables. (2025-10-22) - Hubert 'depesz' Lubaczewski Say Hello to OIDC in PostgreSQL 18!

Upgrading to a new major version of PostgreSQL has become faster and safer with pg_upgrade, but for teams using logical replication, a persistent pain point remained: the state of their subscribers was lost, forcing a tedious and high-risk rebuild of their replication setups.

When communicating UUID-v7 values to third parties, the creation dates inside them are leaked. In this post, let's see how to encrypt the timestamp to solve that problem.

Due to an unfortunate recent visitation by the Virus of the Decade (so far), I have a backlog of these which I'm trying to work through, so in the remote chance anyone is waiting with bated breath for the newest editions, my apologies. Normal service will be resumed as soon as humanly possible.

Almost a month late, but I hope you enjoy it!

PostgreSQL and NUMA, part 2 of 4

This series covers the specifics of running PostgreSQL on large systems with many processors. My experience is that people often spend months learning the basics when confronted with the problem. This series tries to dispel these difficulties by providing a clear background into the topics in question. The hope is that future generations of database engineers and administrators don’t have to spend months figuring things out through trial and error.