Sql 在我的查询中取消绑定到按日期分组

我正在启动以下查询>>

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

但我希望它是：

    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.

[销售数量和结转数量相同]

我试着和不同的团体一起以防万一，但我知道以防万一是不允许的

我还尝试使用不同的where条件，但不起作用

---

请帮助我。

将查询放入子查询中，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

---

可以将GROUPBY子句与多个参数一起使用。请注意我在代码末尾添加的部分：

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

这难道不会让你的总数崩溃吗

试试看：

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

如果没有示例数据，我无法确定，但看起来表中的每一行都有不同的时间部分。 例如，按日期时间分组将在

2013-04-04 08:24:13.790

和

2013-04-04 17:24:13.790

之间产生差异。上述查询将首先将两者转换为

2013-04-04 00:00:00.000

编辑：您还必须用相同的结构替换选择列表中的sauda_日期

---

我的数据库也有附加的时间。 因此，由于时间不同，约会的日期也不同

因此，我将查询写为：

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)

---

这就成功了。

将整个查询粘贴到这里。您是否删除了

别名

x

？是的，有错误：Msg 156，级别15，状态1，第9行关键字“GROUP”附近的语法不正确。不允许，它不允许我在组中有多个列。不允许。仍然错误：Msg 207，级别16，状态1，第21行无效列名“购买数量”。Msg 207，16级，状态1，第21行无效列名“SellQty”。Msg 207，16级，状态1，第21行无效列名“CarryForward”。