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拆分字段优化SQL

时间:2021-07-01 10:21:17 帮助过:2人阅读

--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
技术分享

  技术分享

  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:

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;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
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;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
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  下面是SQL改写后,网友的反馈截图

技术分享   改写后SQL的执行计划如下: 技术分享     标签: SQL优化

拆分字段优化SQL

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