我遇到了性能问题:
商店有一个文章过滤器,其中包含类别"颜色","尺寸","性别"和"功能"。所有这些细节都存储在article_criterias
表中,如下所示:
article_criterias
的表格布局是;这个表有大约36.000行:
article_id | group | option | option_val
100 | "size" | "35" | 35.00
100 | "size" | "36" | 36.00
100 | "size" | "36½" | 36.50
100 | "color" | "40" | 40.00
100 | "color" | "50" | 50.00
100 | "gender" | "1" | 1.00
101 | "size" | "40" | 40.00
...
我们根据当前选择的条件动态构建SQL查询。该查询适用于2-3个条件,但在选择5个以上的选项时会变得非常慢(每个额外的INNER JOIN大约会使执行时间加倍)
我们如何才能使这个SQL更快,甚至可以用更高效的概念替换内部联接?
这是查询(逻辑正确,只是性能不好):
-- This SQL is generated when the user selected the following criteria
-- gender: 1
-- color: 80 + 30
-- size 36 + 37 + 38 + 39 + 42 + 46
SELECT
criteria.group AS `key`,
criteria.option AS `value`
FROM articles
INNER JOIN article_criterias AS criteria ON articles.id = criteria.article_id
INNER JOIN article_criterias AS criteria_gender
ON criteria_gender.article_id = articles.id AND criteria_gender.group = "gender"
INNER JOIN article_criterias AS criteria_color1
ON criteria_color1.article_id = articles.id AND criteria_color1.group = "color"
INNER JOIN article_criterias AS criteria_size2
ON criteria_size2.article_id = articles.id AND criteria_size2.group = "size"
INNER JOIN article_criterias AS criteria_size3
ON criteria_size3.article_id = articles.id AND criteria_size3.group = "size"
INNER JOIN article_criterias AS criteria_size4
ON criteria_size4.article_id = articles.id AND criteria_size4.group = "size"
INNER JOIN article_criterias AS criteria_size5
ON criteria_size5.article_id = articles.id AND criteria_size5.group = "size"
INNER JOIN article_criterias AS criteria_size6
ON criteria_size6.article_id = articles.id AND criteria_size6.group = "size"
INNER JOIN article_criterias AS criteria_size7
ON criteria_size7.article_id = articles.id AND criteria_size7.group = "size"
WHERE
AND (criteria_gender.option IN ("1"))
AND (criteria_color1.option IN ("80", "30"))
AND (criteria_size2.option_val BETWEEN 35.500000 AND 36.500000)
AND (criteria_size3.option_val BETWEEN 36.500000 AND 37.500000)
AND (criteria_size4.option_val BETWEEN 37.500000 AND 38.500000)
AND (criteria_size5.option_val BETWEEN 38.500000 AND 39.500000)
AND (criteria_size6.option_val BETWEEN 41.500000 AND 42.500000)
AND (criteria_size7.option_val BETWEEN 45.500000 AND 46.500000)
答案 0 :(得分:2)
键/值表确实令人讨厌。但是,为了找到某些标准匹配汇总您的数据:
'hello'
'something'
这将为您提供所有可用于性别1,颜色30和/或80以及所有列出的尺寸范围的文章及其所有选项。 (但是大小范围有点奇怪;例如36.5大小会遇到两个范围。)你明白了:按article_id分组并使用select
a.*,
ac.group AS "key",
ac.option AS "value"
from articles a
join article_criterias ac on ac.article_id = a.article_id
where a.article_id in
(
select article_id
from article_criterias
group by article_id
having sum("group" = 'gender' and option = '1') > 0
and sum("group" = 'color' and option in ('30','80')) > 0
and sum("group" = 'size' and option_val between 35.5 and 36.5) > 0
and sum("group" = 'size' and option_val between 36.5 and 37.5) > 0
and sum("group" = 'size' and option_val between 37.5 and 38.5) > 0
and sum("group" = 'size' and option_val between 38.5 and 39.5) > 0
and sum("group" = 'size' and option_val between 41.5 and 42.5) > 0
and sum("group" = 'size' and option_val between 45.5 and 46.5) > 0
)
order by a.article_id, ac.group, ac.option;
以便只获得符合批评的article_ids。
至于你想要的索引
HAVING
答案 1 :(得分:0)
根据@ affan-pathan建议添加索引确实解决了问题:
CREATE INDEX text_option
ON `article_criterias` (`article_id`, `group`, `option`);
CREATE INDEX numeric_option
ON `article_criterias` (`article_id`, `group`, `option_val`);
这两个索引将上述查询表单的执行时间缩短了近1分钟,不到50毫秒!!
答案 2 :(得分:0)
我了解您创建的索引解决了您的问题, 但只是玩伪替代(避免多个INNER JOIN),你能尝试这样的东西吗? (我只用三个条件测试。你的条件应该插入内部查询。要只选择满足所有条件的记录,你必须改变最后的WHERE条件(WHERE max = 3,使用你在上面写的条件数;因此,如果你使用5个条件,你应该写WHERE max = 5)。(为了方便起见,我更改了列组和选项的名称)。 这只是一个想法,所以请做一些测试并检查性能,请告诉我......
CREATE TABLE CRITERIA (ARTICLE_ID INT, GROU VARCHAR(10), OPT VARCHAR(20), OPTION_VAL NUMERIC(12,2));
CREATE TABLE ARTICLES (ID INT);
INSERT INTO CRITERIA VALUES (100,'size','35',35);
INSERT INTO CRITERIA VALUES (100,'size','36',36);
INSERT INTO CRITERIA VALUES (100,'color','40',40);
INSERT INTO CRITERIA VALUES (100,'gender','1',1);
INSERT INTO CRITERIA VALUES (200,'size','36.2',36.2);
INSERT INTO CRITERIA VALUES (300,'size','36.2',36.2);
INSERT INTO ARTICLES VALUES (100);
INSERT INTO ARTICLES VALUES (200);
INSERT INTO ARTICLES VALUES (300);
-------------------------------------------------------
SELECT D.article_id, D.GROU, D.OPT
FROM (SELECT C.*
, @o:=CASE WHEN @h=ARTICLE_ID THEN @o ELSE cumul END max
, @h:=ARTICLE_ID AS a_id
FROM (SELECT article_id,
B.GROU, B.OPT,
@r:= CASE WHEN @g = B.ARTICLE_ID THEN @r+1 ELSE 1 END cumul,
@g:= B.ARTICLE_ID g
FROM CRITERIA B
CROSS JOIN (SELECT @g:=0, @r:=0) T1
WHERE (B.GROU='gender' AND B.OPT IN ('1'))
OR (B.GROU='color' AND B.OPT IN ('40', '30'))
OR (B.GROU='size' AND B.OPT BETWEEN 35.500000 AND 36.500000)
ORDER BY article_id
) C
CROSS JOIN (SELECT @o:=0, @h:=0) T2
ORDER BY ARTICLE_ID, CUMUL DESC) D
WHERE max=3
;
输出:
article_id GROU OPT
100 gender 1
100 color 40
100 size 36