[mysql] MySQL Data - Best way to implement paging?

My iPhone app connects to my PHP web service to retrieve data from a MySQL database. A request can return 500 results.

What is the best way to implement paging and retrieve 20 items at a time?

Let's say I receive the first 20 ads from my database. Now how can I request for the next 20 ads?

Query 1: SELECT * FROM yourtable WHERE id > 0 ORDER BY id LIMIT 500

Query 2: SELECT * FROM tbl LIMIT 0,500;

Query 1 run faster with small or medium records, if number of records equal 5,000 or higher, the result are similar.

Result for 500 records:

Query1 take 9.9999904632568 milliseconds

Query2 take 19.999980926514 milliseconds

Result for 8,000 records:

Query1 take 129.99987602234 milliseconds

Query2 take 160.00008583069 milliseconds

This tutorial shows a great way to do pagination. Efficient Pagination Using MySQL

In short, avoid to use OFFSET or large LIMIT

you can also do

SELECT SQL_CALC_FOUND_ROWS * FROM tbl limit 0, 20

The row count of the select statement (without the limit) is captured in the same select statement so that you don't need to query the table size again. You get the row count using SELECT FOUND_ROWS();

Define OFFSET for the query. For example

page 1 - (records 01-10): offset = 0, limit=10;

page 2 - (records 11-20) offset = 10, limit =10;

and use the following query :

SELECT column FROM table LIMIT {someLimit} OFFSET {someOffset};

example for page 2:

SELECT column FROM table
LIMIT 10 OFFSET 10;

There's literature about it:

• Optimized Pagination using MySQL, making the difference between counting the total amount of rows, and pagination.

• Efficient Pagination Using MySQL, by Yahoo Inc. in the Percona Performance Conference 2009. The Percona MySQL team provides it also as a Youtube video: Efficient Pagination Using MySQL (video),

The main problem happens with the usage of large OFFSETs. They avoid using OFFSET with a variety of techniques, ranging from id range selections in the WHERE clause, to some kind of caching or pre-computing pages.

There are suggested solutions at Use the INDEX, Luke:

• "Paging Through Results".

• "Pagination done the right way".

For 500 records efficiency is probably not an issue, but if you have millions of records then it can be advantageous to use a WHERE clause to select the next page:

SELECT *
FROM yourtable
WHERE id > 234374
ORDER BY id
LIMIT 20

The "234374" here is the id of the last record from the prevous page you viewed.

This will enable an index on id to be used to find the first record. If you use LIMIT offset, 20 you could find that it gets slower and slower as you page towards the end. As I said, it probably won't matter if you have only 200 records, but it can make a difference with larger result sets.

Another advantage of this approach is that if the data changes between the calls you won't miss records or get a repeated record. This is because adding or removing a row means that the offset of all the rows after it changes. In your case it's probably not important - I guess your pool of adverts doesn't change too often and anyway no-one would notice if they get the same ad twice in a row - but if you're looking for the "best way" then this is another thing to keep in mind when choosing which approach to use.

If you do wish to use LIMIT with an offset (and this is necessary if a user navigates directly to page 10000 instead of paging through pages one by one) then you could read this article about late row lookups to improve performance of LIMIT with a large offset.