Question

我试图在表格数据整理中做很多事情，其中单个记录需要根据同一个表整理数据，但是按日期记录先前的记录。

目前我有6个外部申请，大约需要3分钟才能运行1个日期。我可能需要50多个计算字段和多个日期，所以这开始变得不可行了。

有没有更好的方法来提高查询速度？

DECLARE @Date datetime;
SET @Date = '2018-01-01';

SELECT * --Not real Select, set as * to simplify

-- Following subquery normally contains methods to clean data 
FROM (SELECT t1.* FROM  (SELECT cleanFields1.* FROM Control AS cleanFields1 
WHERE cleanFields1.[QDate] = @Date) AS t1) t1 

-- Calculated Data

OUTER APPLY (
    SELECT COUNT(*) AS ProductCountMonth
    FROM Control t6
    WHERE t6.[ProductName] = t1.[ProductName]
    AND t6.[QDate] < t1.[QDate]
    AND MONTH(t6.[QDate]) = MONTH(t1.[QDate])
) t6

OUTER APPLY (
    SELECT COUNT(*) AS ProductMatchMonth
    FROM Control t7
    WHERE t7.[ProductName] = t1.[ProductName]
    AND t7.[QDate] < t1.[QDate]
    AND t7.[Issue] = '1'
    AND MONTH(t7.[QDate]) = MONTH(t1.[QDate])
) t7

OUTER APPLY (
    SELECT COUNT(*) AS ProductCountArea
    FROM Control t8
    WHERE t8.[ProductName] = t1.[ProductName]
    AND t8.[QDate] < t1.[QDate]
    AND t8.[AreaName] = t1.[AreaName]
) t8

OUTER APPLY (
    SELECT COUNT(*) AS ProductMatchArea
    FROM Control t9
    WHERE t9.[ProductName] = t1.[ProductName]
    AND t9.[QDate] < t1.[QDate]
    AND t9.[Issue] = '1'
    AND t9.[AreaName] = t1.[AreaName]
) t9

OUTER APPLY (
    SELECT COUNT(*) AS ProductCountPType
    FROM Control t10
    WHERE t10.[ProductName] = t1.[ProductName]
    AND t10.[QDate] < t1.[QDate]
    AND t10.[PType] = t1.[PType]
) t10

OUTER APPLY (
    SELECT COUNT(*) AS ProductMatchPType
    FROM Control t11
    WHERE t11.[ProductName] = t1.[ProductName]
    AND t11.[QDate] < t1.[QDate]
    AND t11.[Issue] = '1'
    AND t11.[PType] = t1.[PType]
) t11

编辑：

SQLFiddle：http://sqlfiddle.com/#!18/9541d/1

期望的输出：

Answer 1

您可以消除所有这些将极大地帮助提高性能的交叉应用。当Issue是int时，你应该避免像'1'这样的东西。你应该使用1。

在这种情况下，我使用cte来展示如何隔离要返回的行。从那只是一些条件聚合。

DECLARE @Date datetime = '2018-01-01';

with CurrentRows as
(
    select *
    from Control c
    where c.QDate = @Date
)

select cr.*
    , ProductCountMonth = sum(case when MONTH(c.QDate) = MONTH(cr.QDate) then 1 else 0 end)
    , ProductMatchMonth = sum(case when MONTH(c.QDate) = MONTH(cr.QDate) AND c.Issue = 1 then 1 else 0 end)
    , ProductCountArea = sum(case when c.AreaName = cr.AreaName then 1 else 0 end)
    , ProductMatchArea = sum(case when c.Issue = 1 and c.AreaName = cr.AreaName then 1 else 0 end)
    , ProductCountPType = sum(case when c.PType = cr.PType then 1 else 0 end)
    , ProductMatchPType = sum(case when c.PType = cr.PType and c.Issue = 1 then 1 else 0 end)
from CurrentRows cr
join Control c on c.QDate < cr.QDate and c.ProductName = cr.ProductName
group by cr.QDate
    , cr.ProductName
    , cr.AreaName
    , cr.PType
    , cr.Issue
order by cr.AreaName

Answer 2

在您的示例中，您可以将6个外部应用组合成3并将执行时间缩短一些。

SELECT * --Not real Select, set as * to simplify

FROM (SELECT t1.* FROM  (SELECT cleanFields1.* FROM Control AS cleanFields1 
WHERE cleanFields1.[QDate] = '2018-01-01') AS t1) t1 

OUTER APPLY (
    SELECT  COUNT(*) ProductCountMonth,
            COUNT(CASE WHEN t2.Issue = 1 THEN 1 END) ProductMatchMonth
    FROM    Control t2
    WHERE   t2.ProductName = t1.ProductName
    AND     t2.[QDate] < t1.[QDate]
    AND     MONTH(t2.[QDate]) = MONTH(t1.[QDate])

) t2

OUTER APPLY (
    SELECT  COUNT(*) ProductCountArea,
            COUNT(CASE WHEN t3.Issue = 1 THEN 1 END) ProductMatchArea
    FROM    Control t3
    WHERE   t3.ProductName = t1.ProductName
    AND     t3.[QDate] < t1.[QDate]
    AND     t3.AreaName = t1.AreaName

) t3

OUTER APPLY (
    SELECT  COUNT(*) ProductCountPType,
            COUNT(CASE WHEN t4.Issue = 1 THEN 1 END) ProductMatchPType
    FROM    Control t4
    WHERE   t4.ProductName = t1.ProductName
    AND     t4.[QDate] < t1.[QDate]
    AND     t4.PType = t1.PType

) t4

这会在匹配计数中使用案例表达式来确定Issue = 1。

Answer 3

我建议您将outer apply's更改为窗口功能。必须更快。但您的SQL版本必须至少为2012

DECLARE @Date datetime;
SET @Date = '2018-01-01';

select
    *
from (
    SELECT 
        cleanFields1.*
        , row_number() over (partition by ProductName, month(QDate) order by QDate) - 1 AS ProductCountMonth
        , sum(iif(Issue = 1, 1, 0)) over (partition by ProductName, month(QDate) order by QDate) AS ProductMatchMonth
        , row_number() over (partition by ProductName, AreaName order by QDate) - 1 AS ProductCountArea
        , sum(iif(Issue = 1, 1, 0)) over (partition by ProductName, AreaName order by QDate) AS ProductMatchArea
        , row_number() over (partition by ProductName, PType order by QDate) - 1 AS ProductCountPType
        , sum(iif(Issue = 1, 1, 0)) over (partition by ProductName, PType order by QDate) AS ProductMatchPType
    FROM 
        Control AS cleanFields1
) t
where
    QDate = @Date

多个OUTER APPLY变慢，提高查询速度的最佳方法

3 个答案: