For a large dataset, paginating with an OFFSET is known to be slow and not the best way to paginate. A much better way to paginate is with a cursor, which is just a unique identifier on the row so we know where to continue paginating from where we last left off from the last cursor position.
When it comes to a cursor where it is an auto incrementing id value, it's fairly easily to implement:
SELECT * FROM users
WHERE id <= %cursor // cursor is the auto incrementing id, ex. 100000
ORDER BY id DESC
LIMIT %limit
What we're not certain about, is if instead of an auto incrementing id cursor, the only unique sequential identifiers for the cursor are uuid and created_at on the table rows.
We can certainly query based on the uuid to get the created_at, and then select all users that are <= created_at but the issue is what if there are multiple instances of the same created_at timestamp in the users table? Any idea how to query the userstable based on uuid/created_at cursor combination to ensure we get the correct datasets (just as if we were using auto incrementing id)? Again, the only unique field is uuid since created_at may be duplicate, but their combination would be unique per row.
OFFSET. However it leaves out the bugs of skipping or duplicating rows as the user moves to the next page while rows are being inserted/deleted. (That also argues againstOFFSET.) – Rick James May 15 '18 at 20:14