B-Tree Indexes & High-Performance DB Queries

1. Deep Architecture

PostgreSQL uses B-Tree indexes by default. B-Trees keep data sorted, allowing binary search algorithms to run in logarithmic time O(log N) instead of scanning the entire table. Indexes speed up lookups but add a write penalty when inserting or updating data because the tree must be updated.

2. The Feynman Gatekeeper

[KNOWLEDGE CHECK] Why do database indexes speed up SELECT statements but slow down INSERT and UPDATE commands?

3. The Code

# sanjaya_core/models.py
from django.db import models

class VideoMetadata(models.Model):
    video_id = models.UUIDField(unique=True, db_index=True)
    slug = models.SlugField(max_length=100, db_index=True)
    status = models.CharField(max_length=20, db_index=True)

4. The Funnel

Stat Level-Up: B-Tree Strategist (Lvl 1).
Sanjaya Integration: Indexing video status fields ensures Sanjaya’s polling checks return instantly.