Who Needs MongoDB When You Have JSONB?

Content ESS KEW ELI SE- QUEL SKEWL

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Content Top 43 Python Projects to Master Most Demanding Programming Language of 2021 TechVidvan Team 1 year ago Most Demanding nming Language

The five stages of grief, but make it hardware failure. Someone's hard drive went from "perfectly fine" to "abstract art installation" real quick. What starts as a normal HDD standing upright gradually transforms into increasingly creative interpretations of what a hard drive could be. First it's standing, then lying flat, then someone thought "what if we bent it a little?" and finally achieved the ultimate form: a hard drive sandwich with extra platters. The title "So Many Levels" is chef's kiss because it works on multiple levels itself (pun absolutely intended). Physical levels of the drive's position, levels of destruction, and levels of desperation when you realize your backup strategy was "I'll do it tomorrow." Fun fact: those shiny platters inside spin at 7200 RPM, which is roughly the same speed your heart rate reaches when you hear that clicking sound. RAID stands for Redundant Array of Independent Disks, but after seeing this, it clearly stands for "Really Avoid Inadequate Disaster-planning."

The eternal irony of software engineering: we spent decades building beautiful OOP abstractions with encapsulation, inheritance, and polymorphism, only to throw it all away the moment we need to persist data. SQL databases force us to flatten our elegant object hierarchies into normalized tables, then painfully reconstruct them with JOINs. The meme roasts SQL's quirks with surgical precision: case sensitivity that makes you question your life choices, tables that are just "rows of stuff" (goodbye encapsulation), and foreign keys that are basically pointers but worse. The "WHERE LIKE" and "SELECT FROM of it" mockery is chef's kiss—SQL reads like English written by someone who learned programming from a fever dream. Those three CREATE TABLE examples? Pure gold. MySQL's arbitrary constructor order, PostgreSQL declaring types before names (backwards from most languages), and Oracle forgetting strings exist entirely. Each database vendor decided to implement SQL their own special way, creating a fragmentation nightmare. The punchline "Hello I would like INNER JOIN apples please" perfectly captures how unnatural SQL feels compared to object navigation. Instead of customer.orders , you're writing verbose JOIN ceremonies. Object-relational mapping exists precisely because this impedance mismatch is so painful.

Content Senior Dev wondering why API is returning data: 1 Me who ran a delete query in production DB in pgAdmin: It might be my fault.