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Day 4/100: Advanced Query Features - From Basic CRUD to Production API

Day 4/100: Advanced Query Features - From Basic CRUD to Production API

via Dev.to Pythonarchi-jain

Part of my 100 Days of Code journey. Today we make the API actually usable at scale. The Challenge Add advanced query features to the Task Management API: filtering, sorting, pagination, search, and statistics. The Problem: Yesterday's API works, but imagine having 1,000 tasks: Can't find specific tasks (no search) Loading all 1,000 at once (slow, wasteful) Can't sort by priority (no sorting) No insights into completion rates (no analytics) The Solution: Implement production-grade query features with proper indexing. Why Advanced Queries Matter Real scenario: You have 5,000 tasks in your database. Without these features: # User clicks "View Tasks" tasks = db . query ( Task ). all () # Loads ALL 5,000 tasks! # Result: # - 3 second page load # - 5MB data transfer # - Angry users With these features: # User searches "meeting", page 1 tasks = db . query ( Task ) \ . filter ( Task . title . ilike ( " %meeting% " )) \ . order_by ( desc ( Task . created_at )) \ . limit ( 20 ) # Result: # - 0.

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