SQL字段拆分优化 |
|
今天看到一条用函数处理连接的SQL,是群里某位网友的,SQL语句如下: SELECT SO_Order.fdate , SO_Order.fsn FROM so_order INNER JOIN so_orderitem ON CHARINDEX(so_Orderitem.fid, SO_Order.fid) >= 1 WHERE so_order.FOrderDate = 2015-09-06 语句不算复杂,只是执行比较慢,下面是关于这SQL语句的一些信息: --1.SQL执行203条数据 --2.耗时12秒 --3.so_order表的fid字段是字符串集合, --由1-2个字符串组成,用,分隔 SELECT COUNT(*) FROM SO_Order WHERE so_order.FOrderDate = 2015-09-06--24 SELECT COUNT(*) FROM so_Orderitem--414154
通过分析执行计划,so_order和so_orderitem走嵌套循环是正确的,查询的瓶颈是在so_orderitem的索引 扫描上 。因此,我们要通过改写SQL,达到so_orderitem走索引查找的目的 。 将so_order表的fid字段拆分成2个字段,然后union all成一个结果集,再和so_orderitem关联,即可让so_orderitem表走索引查找 。 改写的SQL如下:
;WITH x0
AS ( SELECT fdate ,
fsn ,
LEFT(fid, CASE WHEN CHARINDEX(,, fid, 1) = 0 THEN 0
ELSE CHARINDEX(,, fid, 1) - 1
END) AS fid
FROM so_order
WHERE FOrderDate = 2015-09-06
UNION ALL
SELECT fdate ,
fsn ,
RIGHT(fid, LEN(fid) - CHARINDEX(,, fid, 1)) AS fid
FROM so_order
WHERE FOrderDate = 2015-09-06
)
SELECT SO_Order.fdate ,
SO_Order.fsn
FROM x0 so_order
INNER JOIN so_orderitem ON so_Orderitem.fid = SO_Order.fid
下面是SQL改写后,网友的反馈截图
改写后SQL的执行计划如下:
|