Database-queries Memes

Posts tagged with Database-queries

This Is So Bad That It's So Good

This Is So Bad That It's So Good
Someone just reinvented the equality operator with extra steps. The ifBothCorrect function literally just checks if two values are equal, but instead of using === or == , they wrote an entire function that assigns them to variables, compares them, and returns true or false. It's like using a forklift to pick up a pencil. But wait, there's more! The authentication logic fetches ALL usernames and ALL passwords from the database, then loops through them in nested foreach loops to validate credentials. That's O(n²) complexity for what should be a single database query. Your database is crying. Your security team is crying. I'm crying. The cherry on top? They're storing passwords in plain text (look at that getAllPasswords() call). This code is a security audit's final boss. It's so beautifully terrible that it almost feels like performance art.

How It Feels Writing SQL

How It Feels Writing SQL
You ask SQL for something simple like "give me the first 100 users" and it responds by VIOLENTLY LAUNCHING YOU INTO THE STRATOSPHERE like you just insulted its entire family tree. SQL doesn't do "gentle" or "proportional responses" – it's either giving you exactly what you want with surgical precision OR it's yeeting your entire production database into the void because you forgot a semicolon. There's literally no in-between. One tiny query and suddenly you're SpongeBob getting absolutely OBLITERATED by Patrick's raw, unfiltered power. The drama! The chaos! The sheer unnecessary force of it all!

Trust Me Bro We Don't Need Caching

Trust Me Bro We Don't Need Caching
You know that one senior dev who shows up to the system design interview with a conspiracy theorist's wall of chaos? Red strings connecting random boxes, sticky notes everywhere, and somehow they're convinced their architecture that hits the database 47 times per page load is "fine actually." Meanwhile they're out here explaining why caching is "premature optimization" while their API response times are measured in geological epochs. Sure buddy, let's just query that unindexed table with 50 million rows on every request. What could go wrong? The confidence-to-competence ratio here is absolutely off the charts. They've got the energy of someone who's never been paged at 2 AM because Redis went down and suddenly realized why everyone kept saying "just cache it."