我有一个包含大约100个Mysql表的数据库。所有表格均在INNODB下 我们公司为我们的用户提供语法检查和翻译服务。
这是简化的数据库架构
每个用户都可以通过搜索引擎按关键字搜索自己的项目。每个查询都使用全文搜索。
我还创建了一个视图:
create view searches as
Select
project_contents.content_markdown,
project_contents.content_jp_markdown,
project_contents.remarks_markdown,
project_corrections.correction_markdown,
project_corrections.comment_markdown,
project_messages.message_from_markdown,
project_messages.message_to_markdown,
projects.id,
projects.user_id,
projects.project_category_id,
projects.uuid,
projects.teacher_id,
projects.title,
projects.is_deleted,
projects.submit_date,
projects.receipt_date,
projects.correct_date,
project_questions.question_markdown,
project_questions.answer_markdown,
project_rates.content_markdown As rate_content_markdown,
teachers.username,
project_categories.parent_id,
project_additional_writings.append_markdown
From
project_contents
INNER JOIN projects
ON project_contents.project_id = projects.id
INNER JOIN project_messages
ON project_messages.project_id = projects.id
INNER JOIN project_categories
ON projects.project_category_id = project_categories.id
LEFT JOIN project_questions
ON project_questions.project_id = projects.id
LEFT JOIN project_rates
ON project_rates.project_id = projects.id
LEFT JOIN project_corrections
ON project_corrections.project_content_id = project_contents.id
LEFT JOIN project_additional_writings
ON project_additional_writings.project_id = projects.id
LEFT JOIN teachers
ON projects.teacher_id = teachers.id
这里是查询
SELECT `search`.`id`,
`search`.`uuid`,
`search`.`user_id`,
`search`.`parent_id`,
`search`.`project_category_id`,
`search`.`teacher_id`,
`search`.`username`,
`search`.`is_deleted`,
`search`.`title`,
`search`.`submit_date`,
`search`.`receipt_date`,
`search`.`correct_date`,
`search`.`content_jp_markdown`,
`search`.`remarks_markdown`,
`search`.`content_markdown`,
`search`.`correction_markdown`,
`search`.`comment_markdown`,
`search`.`question_markdown`,
`search`.`answer_markdown`,
`search`.`append_markdown`,
`search`.`rate_content_markdown`,
`search`.`message_from_markdown`,
`search`.`message_to_markdown`,
`search`.`memo_markdown`,
(match(`search`.`title`) against('"famous blogger"' IN boolean mode)) AS `search__score_title`,
(match(`search`.`content_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_content_markdown`,
(match(`search`.`content_jp_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_content_jp_markdown`,
(match(`search`.`remarks_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_remarks_markdown`,
(match(`search`.`correction_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_correction_markdown`,
(match(`search`.`comment_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_comment_markdown`,
(match(`search`.`message_from_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_message_from_markdown`,
(match(`search`.`message_to_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_message_to_markdown`,
(match(`search`.`question_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_question_markdown`,
(match(`search`.`answer_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_answer_markdown`,
(match(`search`.`append_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_append_markdown`,
(match(`search`.`rate_content_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_rate_content_markdown`,
(match(`search`.`memo_markdown`) against('"famous blogger"' IN boolean mode)) AS `search__score_memo_markdown`
FROM `idiy_v3`.`searches` AS `search`
WHERE `search`.`is_deleted` = '0'
AND `search`.`parent_id` = 1
AND `search`.`user_id` = 217
AND ((`search`.`username` LIKE '%famous blogger%')
OR (match(`search`.`title`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`content_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`content_jp_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`remarks_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`correction_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`comment_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`message_from_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`message_to_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`question_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`answer_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`append_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`rate_content_markdown`) against('\"famous blogger\"' IN boolean mode))
OR (match(`search`.`memo_markdown`) against('\"famous blogger\"' IN boolean mode)))
GROUP BY `search`.`id`
ORDER BY `search`.`submit_date` DESC limit 5
默认情况下,每个查询需要15到25秒(取决于用户的项目数量,关键字等)。
当我从project_corrections
表中删除列时,
查询不到10秒。
为什么会有这么大的差异? 如何优化查询?
答案 0 :(得分:0)
添加一个新表格,其中包含用户名的副本,并将所有降价标记连接到一个TEXT
列中。在该列上有一个FULLTEXT
索引。您的SELECT
会对该列进行一次MATCH
,然后JOIN
对其他表进行操作以获取详细信息。
一个MATCH
的速度约为13 MATCHes
的13倍。 OR
很难优化。