Question

我正在点击查询＆gt;＆gt;

SELECT sauda_date, 
   Sum(CASE 
         WHEN buy_sell = 1 
              AND scrip_code = 'ADANIENT' 
              AND sauda_date BETWEEN CONVERT(DATETIME, '1 Mar 2013') AND 
                                     CONVERT(DATETIME, '1 Apr 2013') THEN 
         trade_qty 
         ELSE 0 
       END)            AS BuyQty, 
   Sum(CASE 
         WHEN buy_sell = 2 
              AND scrip_code = 'ADANIENT' 
              AND sauda_date BETWEEN CONVERT(DATETIME, '1 Mar 2013') AND 
                                     CONVERT(DATETIME, '1 Apr 2013') THEN 
         trade_qty 
         ELSE 0 
       END)            AS SellQty, 
   Sum(CASE 
         WHEN buy_sell = 1 
              AND scrip_code = 'ADANIENT' THEN trade_qty 
         ELSE 0 
       END) - Sum(CASE 
                    WHEN buy_sell = 2 
                         AND scrip_code = 'ADANIENT' THEN trade_qty 
                    ELSE 0 
                  END) AS CarryForword 
FROM   tradefile 
WHERE  scrip_code = 'ADANIENT' 
GROUP  BY sauda_date

我得到了以下结果：

    sauda_date | Buy_Qty | SellQty | CarryForward

   01 Mar 2013     2000      0         2000
   01 Mar 2013        0     2000          0
   01 Mar 2013     4000      0         4000
   02 Mar 2013        0     1000       3000
   02 Mar 2013     2000       0        5000
   03 Mar 2013        0     4000       1000

但我希望它为：

    sauda_date | Buy_Qty | SellQty | CarryForward

   01 Mar 2013     6000     2000       4000
   02 Mar 2013     2000     1000       5000
   03 Mar 2013        0     4000       1000

我们可以从表格中看到：

CaryyForward=Buy_Qty-Sell_Qty;

01 Mar 2013 is date and Buy_Qty=sum(buy_Qty) for 01 Mar 2013.
02 Mar 2013 is date and Buy_Qty=sum(buy_Qty) for 02 Mar 2013.

[与Sell_Qty和CarryForward相同]。

我尝试过不同的小组以防万一，但后来知道它不允许以防万一。

我也尝试过使用不同的条件但没有工作。

请帮帮我。

Answer 1

将查询放在子查询中，例如

SELECT  sauda_date , 
        MAX(Buy_Qty) Buy_Qty,
        MAX(SellQty) SellQty, 
        MAX(CarryForward) CarryForward
FROM
        (
            -- ...put your current query here ...
        ) x
GROUP   BY sauda_date

Answer 2

您可以将group by子句与多个参数一起使用。请注意我添加到代码末尾的部分：

select sauda_date,
           SUM(CASE WHEN Buy_sell = 1 
                         and scrip_code='ADANIENT' 
                         and Sauda_Date between convert(datetime,'1 Mar 2013') 
                                        and convert(datetime,'1 Apr 2013') 
                    THEN Trade_Qty ELSE 0 END) AS BuyQty,
           SUM(CASE WHEN Buy_sell = 2 
                         and scrip_code='ADANIENT' 
                         and Sauda_Date between convert(datetime,'1 Mar 2013') 
                                        and convert(datetime,'1 Apr 2013') 
                    THEN Trade_Qty ELSE 0 END) AS SellQty ,
          SUM(CASE WHEN Buy_sell = 1 
                        and scrip_code='ADANIENT' 
                   THEN Trade_Qty ELSE 0 END) 
              - SUM(CASE WHEN Buy_sell = 2 
                              and scrip_code='ADANIENT' 
                         THEN Trade_Qty ELSE 0 END) AS CarryForword 
from tradefile 
where scrip_code='ADANIENT' 
group by sauda_date, Buy_Qty,  SellQty, CarryForward

这不会让你失去总数吗？

Answer 3

尝试：

GROUP BY DATEADD(dd, 0, DATEDIFF(dd, 0, sauda_date))

如果没有您的样本数据，我无法确定，但看起来您在表格中的每一行都有不同的TIME部分。按日期时间分组会使2013-04-04 08:24:13.790和2013-04-04 17:24:13.790之间产生差异。以上查询将首先将两者都转换为2013-04-04 00:00:00.000。

编辑：您还必须使用相同的构造替换SELECT列表中的sauda_date。

SQLFiddle DEMO

Answer 4

我的数据库也有时间附加到它。因此，由于不同的时间，它采取不同的日期。

所以我把查询写成：

select CONVERT(VARCHAR(11),sauda_date) AS sauda_date,SUM(CASE WHEN Buy_sell = 1 and scrip_code='ADANIENT' and Sauda_Date between convert(datetime,'1 Mar 2013') and convert(datetime,'1 Apr 2013') THEN Trade_Qty ELSE 0 END) AS BuyQty,SUM(CASE WHEN Buy_sell = 2 and scrip_code='ADANIENT' and Sauda_Date between convert(datetime,'1 Mar 2013') and convert(datetime,'1 Apr 2013') THEN Trade_Qty ELSE 0 END) AS SellQty ,     SUM(CASE WHEN Buy_sell = 1 and scrip_code='ADANIENT' THEN Trade_Qty ELSE 0 END) -SUM(CASE WHEN Buy_sell = 2 and scrip_code='ADANIENT' THEN Trade_Qty ELSE 0 END) AS CarryForword from tradefile where scrip_code='ADANIENT' group by CONVERT(VARCHAR(11),sauda_date)

这很有用。

无法在我的查询中按日期分组

4 个答案: