The pitfalls of partitioning Postgres yourself

Hatchet rolled their own way to chop up giant database tables by date so their task queue wouldn’t turn into a landfill—then the slow-query gremlins moved in. After a smooth launch, some searches suddenly took 10x longer, so the team resorted to constantly hitting the ANALYZE button (a stats refresh) themselves. Cue the comments: one camp demanded, “Why not use the built-in stuff?” while others argued Postgres’s behavior here is a classic footgun—looks safe, shoots toes. The author shouted out expert Laurenz, whose guide on partition stats here became the community’s security blanket, and a Stack Overflow thread resurfaced like a cursed artifact to confirm, yep, this is tricky.

Non-tech translation: Hatchet split one giant table into daily pieces to keep things speedy and cheap. But the database didn’t automatically keep track of how big each piece was, so the “find stuff fast” plan backfired until they manually told it to update its stats. Drama erupted over whether Hatchet actually used Postgres’s built-in partitioning (they did, but managed it themselves), and memes flew about “DIY databases” and “smashing the ANALYZE button like a like button.” The vibe: relatable pain, expert rescue, and healthy skepticism.