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 `shoop_posts` ADD INDEX `shoop_posts_idx_thread_id` (`thread_id`);
ALTER TABLE `shoop_tags` ADD INDEX `shoop_tags_idx_tag_id` (`tag_id`);
ALTER TABLE `shoop_tags_map` ADD INDEX `shoop_map_idx_thread_id` (`thread_id`);
ALTER TABLE `shoop_users` ADD INDEX `shoop_users_idx_user_id` (`user_id`);
SELECT
GROUP_CONCAT(t.tag_name) AS `tags`,
`p`.`thread_id`,
`p`.`thread_name`,
`p`.`thread_description`,
`p`.`thread_owner_id`,
`p`.`thread_view_count`,
`p`.`thread_reply_count`,
`p`.`thread_comment_count`,
`p`.`thread_favorite_count`,
`p`.`thread_creation_date`,
`p`.`thread_type_id`,
`p`.`thread_edited_date`,
`u`.*,
`x`.*,
`t`.*
FROM
`shoop_posts` AS `p`
INNER JOIN
`shoop_users` AS `u`
ON u.user_id = p.thread_owner_id
LEFT JOIN
`shoop_tags_map` AS `x`
ON x.thread_id = p.thread_id
LEFT JOIN
`shoop_tags` AS `t`
ON t.tag_id = x.tag_id
WHERE
(
p.thread_id = '1'
)
GROUP BY
`p`.`thread_id`
ORDER BY
NULL