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我正在尝试遵循类似的示例，从以下位置获取每周和每月总计： StackOverFlow: SQL Add Sum Row for Week and At the End Add the Grand Total。这个级别的 SQL 对我来说是一个延伸，所以请尽可能清楚。

我有一个包含超过 20 万条 ID、Store_ID、Sales_Date、Amount 记录的表。 

ID  Store_ID    Amount  Sales_Date
1   215            7    1/29/2012
2   215            7    1/30/2012
3   215            7    1/31/2012
4   215            7    2/1/2012
5   215            7    2/2/2012
6   215            7    2/3/2012
7   215            7    2/4/2012
8   215            8    2/5/2012
9   215            8    2/6/2012
10  215            8    2/7/2012
    ***More and More Data***        
162 218            4    10/30/2011
163 218            4    10/31/2011
164 218            4    11/1/2011
165 218            4    11/2/2011
166 218            4    11/3/2011
167 218            4    11/4/2011
168 218            4    11/5/2011
169 218            8    11/6/2011
170 218            8    11/7/2011
171 218            8    11/8/2011
           ******LOTS MORE DATA*****

我需要生成一个视图，该视图将显示每个 Store_ID 的每周和每月总计以及总计的相关日期。我遇到的问题是该示例为我提供了周总计（没有关联日期）、月份总计（没有关联日期）和每日金额（这是一个附带好处）。

我需要知道如何在结果中添加一个额外的列，以显示周结束日期和月结束日期。

这就是我到目前为止所拥有的（它几乎与示例完全相同）：

set datefirst 7

select top 100
    case
        when grouping(cast(datepart(week, [Sales_Date]) as varchar(255)))=1 then '<MonthEnd>'
        when grouping(cast([Sales_Date] as date))=1 then '<weektotal>'
        else cast(cast([Sales_Date] as date) as varchar(255))
    end as Period
    , WkSales = sum(Amount)
    , Store = Store_ID
From KF_Store_Sales_Daily

group by 
    grouping sets(  
    (cast(datepart(month, [Sales_Date]) as varchar(255)), cast(datepart(week, [Sales_Date]) as varchar(255)),cast([Sales_Date] as date)),
    (cast(datepart(month, [Sales_Date]) as varchar(255)), cast(datepart(week, [Sales_Date]) as varchar(255))),
    (cast(datepart(month, [Sales_Date]) as varchar(255)))
    )
    , Store_ID
ORDER BY Store_ID, Sales_Date
4

1 回答 1

2

以下查询可用于显示每日、每周、每月和每年的总计：

select
    case
        when grouping(d.m)=1 then 'Year ' + cast(max(d.y) as varchar(10))
        when grouping(d.w)=1 then datename(m, max(Sales_Date)) + ' ' + cast(max(d.y) as varchar(10))
        when grouping(Sales_Date)=1 then 'Week ' + datename(m, max(ws)) + ' ' + cast(datepart(d, max(ws)) as varchar(20)) + ' - '
            + datename(m, max(we)) + ' ' + cast(datepart(d, max(we)) as varchar(20))
        else cast(cast([Sales_Date] as date) as varchar(255))
    end as Period
    , Sales = sum(Amount)
    , Store = Store_ID
from KF_Store_Sales_Daily
    cross apply (
        select -- aux. expressions for dates
            datepart(yy, [Sales_Date]), -- year
            datepart(m, [Sales_Date]), -- month
            datepart(wk, [Sales_Date]), -- week
            dateadd(d, 1-datepart(w, Sales_date), Sales_date), -- week start
            dateadd(d, 7-datepart(w, Sales_date), Sales_date) -- week end
    ) d(y, m, w, ws, we)
group by Store_ID, d.y, rollup (d.m, d.w, Sales_Date)
order by d.y desc,
    grouping(d.m), d.m,
    grouping(d.w), d.w,
    grouping(Sales_Date), Sales_Date

我不确定将每月和每周总计在一起有多方便（因为一周可能属于两个月）。如果您需要单独查询此案例，请执行两个查询。

对于每日、每月和每年的总计：

select
    case
        when grouping(d.m)=1 then 'Year ' + cast(max(d.y) as varchar(10))
        when grouping(Sales_Date)=1 then datename(m, max(Sales_Date)) + ' ' + cast(max(d.y) as varchar(10))
        else cast(cast([Sales_Date] as date) as varchar(255))
    end as Period
    , Sales = sum(Amount)
    , Store = Store_ID
from KF_Store_Sales_Daily
    cross apply (
        select
            datepart(yy, [Sales_Date]),
            datepart(m, [Sales_Date])
    ) d(y, m)
group by Store_ID, d.y, rollup (d.m, Sales_Date)
order by d.y desc,
    grouping(d.m), d.m,
    grouping(Sales_Date), Sales_Date

对于每日、每周和每年的总计（在这种情况下，一周可能属于两年）：

select
    case
        when grouping(d.w)=1 then 'Year ' + cast(max(d.y) as varchar(10))
        when grouping(Sales_Date)=1 then 'Week ' + datename(m, max(ws)) + ' ' + cast(datepart(d, max(ws)) as varchar(20)) + ' - '
            + datename(m, max(we)) + ' ' + cast(datepart(d, max(we)) as varchar(20))
        else cast(cast([Sales_Date] as date) as varchar(255))
    end as Period
    , Sales = sum(Amount)
    , Store = Store_ID
from KF_Store_Sales_Daily
    cross apply (
        select
            datepart(yy, [Sales_Date]),
            datepart(wk, [Sales_Date]),
            dateadd(d, 1-datepart(w, Sales_date), Sales_date),
            dateadd(d, 7-datepart(w, Sales_date), Sales_date)
    ) d(y, w, ws, we)
group by Store_ID, d.y, rollup (d.w, Sales_Date)
order by d.y desc,
    grouping(d.w), d.w,
    grouping(Sales_Date), Sales_Date
于 2013-08-18T21:52:55.510 回答