Building Pagination That Scales With MySQL

OFFSET pagination breaks at scale. I share offset and cursor patterns I use for fast listing pages on large MySQL tables.

Building Pagination That Scales With MySQL

This post is about scalable pagination with MySQL. OFFSET pagination breaks at scale. I share offset and cursor patterns I use for fast listing pages on large MySQL tables.

Avoid Expensive OFFSET on Big Tables

OFFSET pagination breaks at scale. I share offset and cursor patterns I use for fast listing pages on large MySQL tables.

  • indexed sorting — applied directly to scalable pagination with MySQL.
  • cursor pagination — applied directly to scalable pagination with MySQL.
  • count caching — applied directly to scalable pagination with MySQL.
  • URL design — applied directly to scalable pagination with MySQL.

How I Built It

The working version of Building Pagination That Scales With MySQL centred on indexed sorting, cursor pagination, count caching, and URL design. I avoided copying patterns from other modules unless they solved a problem this feature actually had.

Design URLs for Deep Pages Too

Representative code from the implementation — simplified for readability, but structurally what I deploy.

Cursor pagination for large MySQL tables

SELECT id, news_title, published_date
FROM news
WHERE status = 'Published' AND id < :cursor_id
ORDER BY id DESC
LIMIT 20;

CREATE INDEX idx_news_status_id ON news (status, id);

Practical Outcome From the Work

Shipping scalable pagination with MySQL cleanly meant the next developer could extend it without untangling hidden coupling.

If I repeated this, I would write the regression checks earlier — especially around the failure paths users hit once, not the happy path.

If You Are Tackling Something Similar

  • Start with the exact problem statement for scalable pagination with MySQL — one sentence, no buzzwords.
  • Prioritise indexed sorting before polishing secondary UI details.
  • Validate cursor pagination under realistic data volume, not demo rows.