我正在尝试优化一个SQL查询,我希望对组合组BY和ORDER的最佳/最快方法提供一些专家意见。
基本上,我试图从产品表中选择最低的价格,并按商家的名称对它们进行分组。
这是我最初的疑问:
select p.*, m.*, d.* from datafeeds as d, products as p left outer join meta as m on p.mykey = m.mykey where p.datafeed_id = d.id and (match(p.name) against ('+asics +"gel" -women*' in boolean mode)) and p.datafeed_id = '35' and p.is_custom = 0 group by d.merchant_name order by d.merchant_name limit 50
定单不起作用,我得到的是成批的产品,而不是价格最低的产品。
在阅读了其他讨论之后,我提出了一个改进的查询:
SELECT p . * , m . * , d . *
FROM datafeeds AS d, products AS p
INNER JOIN (
SELECT MIN( display_price ) AS MinPrice
FROM products AS p
WHERE 1 =1
AND (
MATCH (
p.name
)
AGAINST (
'+asics +"gel" -women*'
IN BOOLEAN
MODE
)
)
AND p.datafeed_id = '35'
AND p.is_custom =0
GROUP BY merchant_name
) AS p2 ON p.display_price = p2.MinPrice
LEFT OUTER JOIN meta AS m ON p.mykey = m.mykey
WHERE p.datafeed_id = d.id
AND (
MATCH (
p.name
)
AGAINST (
'+asics +"gel" -women*'
IN BOOLEAN
MODE
)
)
AND p.datafeed_id = '35'
AND p.is_custom =0
GROUP BY d.merchant_name
ORDER BY d.merchant_name
LIMIT 50`查询得到正确的结果,但速度相当慢。有更好的方法吗?
提前感谢
发布于 2017-03-21 10:20:39
你可以试试这个
SELECT p.*,
m.*,
d.*
FROM datafeeds AS d,
(
SELECT *
FROM products
WHERE 1 = 1
AND (
MATCH ( name ) against ( '+asics +"gel" -women*' IN boolean mode ) )
AND datafeed_id = '35'
AND is_custom =0
ORDER BY merchant_name,
display_price) AS p
LEFT OUTER JOIN meta AS m
ON p.mykey = m.mykey
WHERE p.datafeed_id = d.id
GROUP BY d.merchant_name
ORDER BY d.merchant_name
LIMIT 50https://stackoverflow.com/questions/42921625
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