Data modeling Memes

Age As A Primary Key: What Could Possibly Go Wrong?

1 day ago 141.0K views 0 shares

Congratulations, you've just created the world's worst database design! Using age as a primary key is like using a sandwich as a doorstop - technically possible but fundamentally wrong. Primary keys should be unique and unchanging, but unless you've discovered the fountain of youth, your age changes every year. Plus, there are roughly 8 million 17-year-olds on Earth right now, all trying to register for your app. No wonder it's complaining! Next time, maybe try something truly unique... like I don't know... an ID?

Primary Key Catastrophe

Databases Programming Debugging Backend

3 days ago 121.4K views 1 shares

When your database design meets reality in the most painful way possible. Someone actually made AGE a primary key instead of, you know, something unique like an ID. Now every 17-year-old on the platform is technically the same person. Congrats, you've invented digital reincarnation! Next up: using "favorite_color" as a password hash.

Falsehoods Programmers Believe About Names

Programming Testing Databases Frontend Backend

7 days ago 130.4K views 2 shares

Falsehoods Programmers Believe About Names

Oh honey, the AUDACITY of programmers thinking names are some kind of standardized, well-behaved data! 💅 Names change when people get married, divorced, or just FEEL LIKE IT. They don't follow your precious "first name, last name" format. And sweetie, if you think your system won't encounter Chinese names (or Arabic, Japanese, Korean...), you're living in a fantasy land! And that dictionary of "bad words"? Darling, it's DEFINITELY blocking legitimate names from cultures around the world. Some people literally don't have names! THE HORROR! Welcome to the chaotic hellscape of international name handling - where your beautiful database schema goes to DIE! ✨

Never Trust Users' Requirements

Databases Agile Programming Backend

16 days ago 189.4K views 0 shares

The classic "just one small change" that breaks your entire data model. You design a perfect database with a unique constraint ensuring each user belongs to exactly one organization. The requirements were crystal clear. You even got it in writing. Then suddenly, the user who SWORE the relationship would "always be N:1" comes back asking if users can belong to multiple organizations. That look of horror is every database architect who now has to create a junction table, update all the queries, and pretend they're not dying inside. Next time, just assume every relationship is many-to-many from the start and save yourself the trauma.

What Could Go Wrong

Databases Webdev Typescript Programming Debugging

1 month ago 149.9K views 0 shares

Junior dev: "I designed a database in 3 hours! Give me a medal!" Senior devs: *looking at the schema with User and userId in the same model, nullable fields everywhere, and enums that'll need constant updating* This is why database design takes weeks. The junior's Prisma schema is a ticking time bomb of future migration nightmares, circular dependencies, and queries that'll bring production to its knees when you hit more than 100 users. Six months later, they'll be writing a Medium article titled "How I Survived My First Database Redesign" while the senior devs silently add another gray hair to their collection.

Sorry Db, Performance Trumps Purity

Databases Programming Debugging Backend

1 month ago 219.8K views 0 shares

The internal monologue of every database architect: "I spent years learning normalization principles, carefully crafting elegant table relationships... and now I'm denormalizing everything because some product manager needs the dashboard to load 0.3 seconds faster." The database gods weep silently as you create that redundant column, knowing full well you're trading future data integrity for a temporary performance boost. It's like watching your beautiful architectural masterpiece get a fast food drive-thru bolted onto the side.

It Goes Into Postgres

Databases Devops Programming Backend

1 month ago 234.1K views 0 shares

Ah, the classic baby shape sorter toy, but make it database . When your data architecture strategy is literally "if it fits, it ships." Junior devs looking at their PostgreSQL database like it's some magical black hole where any data structure can and should go. Who needs schema validation when you have determination and a hammer? PostgreSQL: Technically versatile enough to store your hopes, dreams, and that JSON blob you were too lazy to normalize.

Who's Gonna Tell Him About Primary Keys

Databases Programming Debugging Frontend Backend

2 months ago 186.5K views 0 shares

Ah, the classic primary key violation that no one warned the poor user about. Some developer thought storing age as a unique identifier was a brilliant idea, and now we've got 17-year-olds fighting in the Thunderdome for database supremacy. Next time try using UUID instead of, you know, THE MOST COMMON AGE AMONG TEENAGE USERS. This is what happens when you let the intern design your database schema after a Red Bull all-nighter.

Database Relations Before Human Relations

Databases Programming Backend

3 months ago 248.5K views 0 shares

Database Relations Before Human Relations

When your date asks about relationships but your brain immediately jumps to database cardinality. Sure, I could tell you about my ex, OR I could explain the subtle differences between one-to-many and many-to-many table associations! The look of confusion when you start drawing ER diagrams on napkins instead of writing down your phone number. Dating tip: maybe save the normalization lecture for the second date.

Finally Crawling Back To SQL

Databases Programming Debugging Backend

4 months ago 255.2K views 0 shares

The sweet, sweet embrace of relational databases after spending months in NoSQL hell. You swore MongoDB was the future, but now you're crawling back to PostgreSQL like a desperate ex. "Please take me back, I promise I'll normalize my tables this time." Nothing says "I've grown as a person" quite like appreciating foreign key constraints after trying to manually join documents across collections. The NoSQL hangover is real.

SQL Romantic: Keys To A Good Relationship

Databases Programming Backend

4 months ago 163.6K views 1 shares

SQL Romantic: Keys To A Good Relationship

Nothing says romance like database integrity! When she asks about relationships, he goes straight for the technical truth - you need PRIMARY KEYS to maintain a good relationship... between tables. The perfect pickup line doesn't exi-- wait, it does, but only in normalized form. Ten years of building databases has taught me that relationships without proper keys are just asking for trouble. Just like my dating life.

Machine Learning Orders A Drink

AI Algorithms Math Programming

6 months ago 199.7K views 0 shares

The joke brilliantly skewers how recommendation algorithms work in real life. Instead of having original preferences, ML models basically look at what's popular and say "I'll have what they're having!" It's the digital equivalent of copying the smart kid's homework, but with billions of data points. Collaborative filtering in a nutshell—why make your own decisions when you can just aggregate everyone else's? Next time Netflix suggests that documentary everyone's watching, remember it's just an algorithm at a bar asking what's trending.

Browse

Data modeling Memes

Age As A Primary Key: What Could Possibly Go Wrong?

Primary Key Catastrophe

Falsehoods Programmers Believe About Names

Never Trust Users' Requirements

What Could Go Wrong

Sorry Db, Performance Trumps Purity

It Goes Into Postgres

Who's Gonna Tell Him About Primary Keys

Database Relations Before Human Relations

Tech Gadgets (affiliate)

Finally Crawling Back To SQL

SQL Romantic: Keys To A Good Relationship

Machine Learning Orders A Drink

Spotlight

GearScouts.com

Coffee Mug Funny Ceramic Tea Cup Funny Gift for...