Backend Optimization — Complete Guide
Backend Optimization — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of PostgreSQL Tutorial on Toolliyo Academy.
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PostgreSQL Tutorial · Lesson 50 of 100
Backend Optimization
SQL ✓ → Advanced
Advanced · 2 — Production · ~6 min · PostgreSQL — Functions & Automation
What is this?
Backend optimization tunes how application servers talk to PostgresVerse — pooling, prepared statements, batch inserts, cursor pagination, and avoiding chatty ORM patterns.
Why should you care?
Flipkart API tier opening 5000 connections would crash postgres — pool 50 and reuse; batch INSERT cuts round trips.
See it live — copy this example
Run in pgAdmin or psql.
-- Batch insert pattern (run from psql simulating app batch)
INSERT INTO order_items (order_id, product_id, line_total)
SELECT 9001, product_id, price
FROM products
WHERE product_id = ANY(ARRAY[1,2,3]);
What happened?
- Single INSERT...SELECT loads multiple line items from product prices — one round trip vs three separate INSERTs from app loop.
- Follow the steps below — typing the code yourself is the fastest way to learn.
Practice next
- Time loop of 100 single INSERTs vs one INSERT SELECT.
- Enable pg_stat_statements and find top calls by total_time.
- Configure app pool max size below max_connections.
- Use COPY FROM STDIN for 10k staging rows.
- Compare extended query protocol prepared statement in driver docs.
Remember
Pool connections; keep transactions short. Batch writes and use COPY for bulk load. Keyset pagination beats OFFSET at depth.
PostgresVerse cart checkout
Checkout refactored from 15 queries to 3 with batch line insert and single balance UPDATE.
Outcome: Checkout latency halves during sale event.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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