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:
ALTER TABLE `attempts` ADD INDEX `attempts_idx_test_id_score` (`test_id`,`score`);
ALTER TABLE `attempts` ADD INDEX `attempts_idx_user_id` (`user_id`);
ALTER TABLE `reports` ADD INDEX `reports_idx_has_file_user_id` (`has_file`,`user_id`);
ALTER TABLE `tags` ADD INDEX `tags_idx_id` (`id`);
ALTER TABLE `tags_users` ADD INDEX `tags_users_idx_tag_id` (`tag_id`);
ALTER TABLE `users` ADD INDEX `users_idx_id` (`id`);
SELECT
`User`.`id`,
`User`.`username`,
`User`.`password`,
`User`.`role`,
`User`.`created`,
`User`.`modified`,
`User`.`email`,
`User`.`other_user_id`,
`User`.`first_name`,
`User`.`last_name`,
`User`.`place_id`,
`Resume`.`id`,
`Resume`.`user_id`,
`Resume`.`other_resume_id`,
`Resume`.`other_user_id`,
`Resume`.`file_extension`,
`Resume`.`created`,
`Resume`.`modified`,
`Resume`.`is_deleted`,
`Resume`.`has_file`,
`Resume`.`is_stamped`,
`Resume`.`is_active`
FROM
`streetofwalls`.`users` AS `User`
INNER JOIN
`my_database`.`attempts` AS `Attempt`
ON (
`Attempt`.`user_id` = `User`.`id`
AND `Attempt`.`test_id` != 5
)
INNER JOIN
`my_database`.`reports` AS `Resume`
ON (
`Resume`.`user_id` = `User`.`id`
)
WHERE
`Attempt`.`test_id` = 8
AND `Attempt`.`score` > 60
AND `User`.`id` IN (
SELECT
`User1`.`id`
FROM
`my_database`.`users` AS User1
LEFT JOIN
`my_database`.`tags_users` AS TagUser
ON (
`User1`.`id` = `TagUser`.`user_id`
)
INNER JOIN
`my_database`.`tags` AS Tag
ON (
`TagUser`.`tag_id` = `Tag`.`id`
)
WHERE
`Tag`.`id` = (
8
)
)
AND `User`.`id` NOT IN (
SELECT
`User1`.`id`
FROM
`my_database`.`users` AS User1
LEFT JOIN
`my_database`.`tags_users` AS TagUser
ON (
`User1`.`id` = `TagUser`.`user_id`
)
INNER JOIN
`my_database`.`tags` AS Tag
ON (
`TagUser`.`tag_id` = `Tag`.`id`
)
WHERE
`Tag`.`id` = (
3
)
)
AND `Resume`.`has_file` = 1
GROUP BY
`Attempt`.`user_id`
ORDER BY
`Attempt`.`score` DESC