此SQL查询需要 10 秒:
SELECT * FROM A a
JOIN B b on a.idB = b.idB
JOIN C c on b.idC = c.idC
JOIN D d on c.idD = d.idD
JOIN E e ON((e.perimeterId = a.idA AND e.level = 3)
OR (e.perimeterId = b.idB AND e.level = 2)
OR (e.perimeterId = c.idC AND e.level = 1)
OR (e.perimeterId = d.idD AND e.level = 0))
使用 CASE 更改 OR 子句,查询需要 3 秒:
SELECT * FROM A a
JOIN B b on a.idB = b.idB
JOIN C c on b.idC = c.idC
JOIN D d on c.idD = d.idD
JOIN E e ON (
CASE e.level
when 3 then a.idA
when 2 then b.idB
when 1 then c.idC
when 0 then d.idD
END
) = e.perimeterId
如果我使用单独的OR子句执行查询,则查询将立即执行 有了 OR 子句:
SELECT * FROM A a
JOIN B b on a.idB = b.idB
JOIN C c on b.idC = c.idC
JOIN D d on c.idD = d.idD
JOIN E e ON (e.perimeterId = a.idX AND e.level = X)
如何重写查询以立即执行或以高性能执行?
答案 0 :(得分:2)
您只需要<div class="container">
<div class="right">right</div>
<div class="left">left</div>
<div class="mid">midmidmidmidmidmidmidmid</div>
</div>
中的列,因此我将使用e
来编写:
exists
我不是100%肯定子查询中需要SELECT e.*
FROM E e
WHERE EXISTS (SELECT 1
FROM a
WHERE e.perimeterId = a.idA AND e.level = 3
) OR
EXISTS (SELECT 1
FROM a JOIN
b
ON a.idB = b.idB
WHERE e.perimeterId = b.idA AND e.level = 2
) OR
EXISTS (SELECT 1
FROM a JOIN
b
ON a.idB = b.idB JOIN
c
ON c.idC = b.idC
WHERE e.perimeterId = c.idA AND e.level = 1
) OR
EXISTS (SELECT 1
FROM a JOIN
b
ON a.idB = b.idB JOIN
c
ON c.idC = b.idC JOIN
d
ON d.idD = c.idD
WHERE e.perimeterId = d.idA AND e.level = 0
);
,但是无论如何我还是把它们留了下来。
答案 1 :(得分:0)
1)在a.idB,b.idB,b.idC,c.idC,c.idD,d.idD,e.perimeterId,e.level上创建索引
2) 试试这个
SELECT * FROM A a
JOIN B b on a.idB = b.idB
JOIN C c on b.idC = c.idC
JOIN D d on c.idD = d.idD
JOIN E e ON(e.perimeterId = a.idA AND e.level = 3)
UNION ALL
SELECT * FROM A a
JOIN B b on a.idB = b.idB
JOIN C c on b.idC = c.idC
JOIN D d on c.idD = d.idD
JOIN E e ON(e.perimeterId = a.idB AND e.level = 2)
UNION ALL
SELECT * FROM A a
JOIN B b on a.idB = b.idB
JOIN C c on b.idC = c.idC
JOIN D d on c.idD = d.idD
JOIN E e ON(e.perimeterId = a.idC AND e.level = 1)
UNION ALL
SELECT * FROM A a
JOIN B b on a.idB = b.idB
JOIN C c on b.idC = c.idC
JOIN D d on c.idD = d.idD
JOIN E e ON(e.perimeterId = a.idD AND e.level = 0)
答案 2 :(得分:0)
大多数性能问题都是通过精心构建的索引解决的,在子句中,如果不必创建相应的过滤器列,请始终尝试使用主索引。