How to optimize this SQL query?
In case you have your own slow SQL query, you can optimize it automatically here.
For the query above, the following recommendations will be helpful as part of the SQL tuning process.
You'll find 3 sections below:
- Description of the steps you can take to speed up the query.
- The optimal indexes for this query, which you can copy and create in your database.
- An automatically re-written query you can copy and execute in your database.
The optimization process and recommendations:
- Avoid OFFSET In LIMIT Clause (query line: 18): OFFSET clauses can be very slow when used with high offsets (e.g. with high page numbers when implementing paging). Instead, use the following \u003ca target\u003d"_blank" href\u003d"http://www.eversql.com/faster-pagination-in-mysql-why-order-by-with-limit-and-offset-is-slow/"\u003eseek method\u003c/a\u003e, which provides better and more stable response rates.
- Create Optimal Indexes (modified query below): The recommended indexes are an integral part of this optimization effort and should be created before testing the execution duration of the optimized query.
Optimal indexes for this query:
CREATE INDEX books_idx_id ON "books" ("id");
CREATE INDEX tags_books_idx_book_id ON "tags_books" ("book_id");
The optimized query:
SELECT
b.id
FROM
books b
LEFT JOIN
tags_books tb
ON tb.book_id = b.id
GROUP BY
b.id
HAVING
sum(CASE
WHEN tb.tag_id IN (1, 2, 3) THEN 1
ELSE 0 END) >= 2
AND sum(CASE
WHEN tb.tag_id IN (11, 12, 13) THEN 1
ELSE 0 END) = 0
ORDER BY
b.rating LIMIT 5 OFFSET 0