exists改写SQL,使其走正确的执行计划

数据库环境:SQL SERVER 2005

  今天看到一条SQL,写得不是很复杂,返回7000多条数据,却执行了15s。SQL文本及各表的数据量如下:

SELECT  acinv_07.id_item ,
SUM(acinv_07.dec_endqty) dec_endqty
FROM acinv_07
WHERE acinv_07.fiscal_year * 100 + acinv_07.fiscal_period = ( SELECT DISTINCT
ctlm1101.fiscal_year
* 100
+ ctlm1101.fiscal_period
FROM
ctlm1101
WHERE
flag_curr = 'Y'
AND id_oprcode = 'acinv'
AND acinv_07.id_wh = ctlm1101.id_table
)
GROUP BY acinv_07.id_item
----------------------------------------
SELECT COUNT(*)
FROM ctlm1101
WHERE flag_curr = 'Y'
AND id_oprcode = 'acinv'-- SELECT COUNT(*)
FROM acinv_07--

  我们先看看一下SQL的执行计划

exists改写SQL,使其走正确的执行计划

  2个表关联走的是嵌套循环,且大表acinv_07是驱动表,ctlm1101被扫描了1347176次,

ctlm1101.id_table是连接列,且关联后再对acinv_07.fiscal_year * 100 + acinv_07.fiscal_period过滤,

因此,慢是自然的了。

  那我们是否可以改写后,根据原SQL的意思,我们用Exists改写成如下,核对数据无误

SELECT  acinv_07.id_item ,
SUM(acinv_07.dec_endqty) dec_endqty
FROM acinv_07
WHERE EXISTS ( SELECT NULL
FROM ctlm1101
WHERE flag_curr = 'Y'
AND id_oprcode = 'acinv'
AND acinv_07.id_wh = ctlm1101.id_table
AND ctlm1101.fiscal_year = acinv_07.fiscal_year
AND ctlm1101.fiscal_period = acinv_07.fiscal_period )
GROUP BY acinv_07.id_item

  改写之后,执行计划走的是哈希连接,数据一查询是秒出。我们来分析改写后的执行计划,

小表ctlm1101作为哈希连接的驱动表,id_table,fiscal_year,fiscal_period作为连接列,和大表acinv_07

关联时过滤了大部分数据,所以通过哈希匹配可以快速返回所有结果。

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" alt="" />

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