我在下面写了一个查询来从两个不同的表中检索不同的RegNo。但是在查询下面需要将近25秒来检索结果。在库存表中,有超过150万条记录。
Select F.PKID, F.RegNo
From
(
Select E.PKID, E.RegNo
Row_Number() Over(Order By E.RegNo Asc) RowNo
From
(
Select C.PKID, C.RegNo
From
(
Select Pk_Id PKID, LTrim(RTrim(A.Reg_No)) RegNo,
Row_Number() Over(Partition By LTrim(RTrim(A.Reg_No))
Order By (Select Null)) RegRowNo
From dbo.KeyreferenceDetails A (NoLock)
Where A.KeyreferenceStatus = 'L'
And A.Reg_No Like @Value And IsNull(Reg_No, '') <> '' And Not Exists
(
Select 1 From dbo.INVENTORY B (NoLock)
Where A.Reg_No = B.Inv_H_Reg_No
)
) C
Where C.RegRowNo = 1 And IsNull(C.RegNo, '') <> '-'
Union
Select D.PKID, D.RegNo
From
(
Select Pk_ID PKID, LTrim(LTrim(Txt_RegNo)) RegNo,
Row_Number() Over(Partition By LTrim(LTrim(A.Txt_RegNo))
Order By (Select Null)) RegRowNo
From dbo.MobileMessageDetails A (Nolock)
Left Join dbo.PLACE P (Nolock) On P.Place_Shrt_Code = A.Txt_YarddCode
And P.[Status] = 'L'
Left Join dbo.INVENTORY B (Nolock) On A.Txt_RegNo = B.Inv_H_Reg_No
Where A.Txt_INOUT In('IN', 'MOBILE') And IsNull(A.Txt_RegNo, '') <> '' And B.Inv_H_Pk_Id Is Null
And A.[Status] = 'L' And Txt_RegNo Like @Value
) D
Where D.RegRowNo = 1 And IsNull(D.RegNo, '') <> '-'
) E
) F
Where F.RowNo > 0 And F.RowNo <= 20
查询计划:
可用索引:
KeyreferenceDetails table:
Index Name ---------------+ Column Name ----------------- + Index Type
IX_KeyreferenceDetails_I | Reg_No | NONCLUSTERED
IX_KeyreferenceDetails_II | KeyreferenceStatus | NONCLUSTERED
Inventory table:
Index Name ---------------+ Column Name ----------------- + Index Type
IX_Inventory_I | Inv_H_Reg_No | NONCLUSTERED
MobileMessageDetails table:
Index Name --------------- + Column Name ----------------- + Index Type
IX_MobileMessageDetails_I | Txt_RegNo | NONCLUSTERED
IX_MobileMessageDetails_II | Txt_INOUT | NONCLUSTERED
Place table:
Index Name ---------------+ Column Name ----------------- + Index Type
IX_Place_I | Place_Shrt_Code | NONCLUSTERED
IX_Place_I | Status | NONCLUSTERED
我在上面的查询中为所有使用过的表创建了必需的索引。但查询成本很高。如何减少SQL Server中的查询运行时间?
Statistics Output:
SQL Server Execution Times:
CPU time = 0 ms, elapsed time = 0 ms.
Table 'INVENTORY'. Scan count 6, logical reads 382, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'KeyreferenceDetails'. Scan count 15, logical reads 9062, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Mobile_MessageDetails'. Scan count 1, logical reads 4, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table '#TempItemsCount_____________________________________________________________________________________________________0000000118A9'. Scan count 0, logical reads 1, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
CPU time = 20733 ms, elapsed time = 7844 ms.
Table 'INVENTORY'. Scan count 6, logical reads 382, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'KeyreferenceDetails'. Scan count 14, logical reads 9062, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Mobile_MessageDetails'. Scan count 1, logical reads 4, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table '#VehicleRegDetails__________________________________________________________________________________________________0000000118AB'. Scan count 0, logical reads 20, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
CPU time = 21139 ms, elapsed time = 8146 ms.
Table '#TABLE_SCHEMA_______________________________________________________________________________________________________0000000118AA'. Scan count 0, logical reads 1, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Update:
Insert Into #TempItemsCount(TotalCount)
Select Count(E.PKID)
From
(
Select E.PKID, E.RegNo
Row_Number() Over(Order By E.RegNo Asc) RowNo
From
(
Select C.PKID, C.RegNo
From
(
Select Pk_Id PKID, LTrim(RTrim(A.Reg_No)) RegNo,
Row_Number() Over(Partition By LTrim(RTrim(A.Reg_No))
Order By (Select Null)) RegRowNo
From dbo.KeyreferenceDetails A (NoLock)
Where A.KeyreferenceStatus = 'L'
And A.Reg_No Like @Value And IsNull(Reg_No, '') <> '' And Not Exists
(
Select 1 From dbo.INVENTORY B (NoLock)
Where A.Reg_No = B.Inv_H_Reg_No
)
) C
Where C.RegRowNo = 1 And IsNull(C.RegNo, '') <> '-'
Union
Select D.PKID, D.RegNo
From
(
Select Pk_ID PKID, LTrim(LTrim(Txt_RegNo)) RegNo,
Row_Number() Over(Partition By LTrim(LTrim(A.Txt_RegNo))
Order By (Select Null)) RegRowNo
From dbo.MobileMessageDetails A (Nolock)
Left Join dbo.PLACE P (Nolock) On P.Place_Shrt_Code = A.Txt_YarddCode
And P.[Status] = 'L'
Left Join dbo.INVENTORY B (Nolock) On A.Txt_RegNo = B.Inv_H_Reg_No
Where A.Txt_INOUT In('IN', 'MOBILE') And IsNull(A.Txt_RegNo, '') <> '' And B.Inv_H_Pk_Id Is Null
And A.[Status] = 'L' And Txt_RegNo Like @Value
) D
Where D.RegRowNo = 1 And IsNull(D.RegNo, '') <> '-'
) E
)
答案 0 :(得分:2)
在没有架构和有限信息的情况下回答,因此无法保证这将解析,但下面是尝试对其进行优化,以便您至少可以理解这些方法。
优化可分为以下几点:
将复杂查询分成易于理解的单独语句(对于人和优化程序),并且已知优化程序可以很好地理解。例如,很容易优化第一个查询,因为很明显Reg_No
以及JOIN
子句中使用了WHERE
。示例索引可能是:
CREATE NONCLUSTERED INDEX index_name ON dbo.KeyreferenceDetails(Reg_No)INCLUDE(Pk_Id,KeyreferenceStatus)WHERE KeyreferenceStatus =&#39; L&#39;
在ISNULL
,COALESCE
,{{消除功能(LTRIM
,RTRIM
,JOIN
,WHERE
等) 1}}。例如,考虑一下:
PARTITION BY
优化器将无法在WHERE ISNULL(A.Reg_No, '') <> ''
上使用索引,因为您正在为其应用函数。相反,将其重写为:
Reg_No
考虑使用WHERE A.Reg_No <> '' AND A.Reg_No IS NOT NULL
vs UNION ALL
。对于UNION
,查询引擎将对两个集进行重复数据删除并仅返回唯一身份。它必须在返回任何数据进行处理之前执行此操作。使用UNION
,您可以单独处理两个查询,并将第二个集合附加到第一个集合的末尾。
您可以使用UNION ALL
而不是在IN
子句中使用WHERE
,并添加一项检查,以查看连接表中的键列是否为NULL确保没有从中返回任何记录,或LEFT OUTER JOIN
,这通常会更有效。
以下是将一些原则应用于您的查询的一种方法示例:
EXISTS
由于此处很可能存在语法错误,因此当您查看此内容时,我建议您一次运行每个部分并确保其正常工作,而不是一次执行整个脚本。希望这有帮助!
此致
罗斯