随着我已经使用堆栈的回答以下查询之一:按日期场时的数据类型为nvarchar的
select
AVG(CASE WHEN Buy_sell = 1 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' and Sauda_Date between convert(datetime,'" + dtpForDate.Value.Date.ToString("dd/MM/yyyy") + "') and convert(datetime,'" + dtpToDate.Value.Date.ToString("dd/MM/yyyy") + "') THEN Market_Rate ELSE 0 END) AS AVGBuyRate ,
AVG(CASE WHEN Buy_sell = 2 THEN Market_Rate ELSE 0 END) AS AVGSellRate,
CONVERT(VARCHAR(11),sauda_date) AS sauda_date,
SUM(CASE WHEN Buy_sell = 1 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' and Sauda_Date between convert(datetime,'" + dtpForDate.Value.Date.ToString("dd/MM/yyyy") + "') and convert(datetime,'" + dtpToDate.Value.Date.ToString("dd/MM/yyyy") + "') THEN Trade_Qty ELSE 0 END) AS BuyQty,
SUM(CASE WHEN Buy_sell = 2 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' and Sauda_Date between convert(datetime,'" + dtpForDate.Value.Date.ToString("dd/MM/yyyy") + "') and convert(datetime,'" + dtpToDate.Value.Date.ToString("dd/MM/yyyy") + "') THEN Trade_Qty ELSE 0 END) AS SellQty ,
SUM(CASE WHEN Buy_sell = 1 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' THEN Trade_Qty ELSE 0 END) -SUM(CASE WHEN Buy_sell = 2 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' THEN Trade_Qty ELSE 0 END) AS CarryForword
from tradefile
where scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "'
and INST_TYPE LIKE 'FUT%'
group by CONVERT(VARCHAR(11),sauda_date) order by CONVERT(VARCHAR(11),sauda_date) desc
该查询给我下面的输出:
在此,如果我们来看看sauda_date柱,后2013年2月28日被责令由2013年3月22日,则2013年3月21日再二零一三年三月二十零日等
但它应该是2013年2月28日, 2013年3月1日,2013年3月2日... ...,2013年3月20日,2013年3月21日,3月22日2013年
我应该在查询什么样的变化?
注: sauda_date类型为nvarchar类型的
新的查询:
select AVG(CASE WHEN Buy_sell = 1 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' and Sauda_Date between convert(datetime,'" + dtpForDate.Value.Date.ToString("dd/MM/yyyy") + "') and convert(datetime,'" + dtpToDate.Value.Date.ToString("dd/MM/yyyy") + "') THEN Market_Rate ELSE 0 END) AS AVGBuyRate , AVG(CASE WHEN Buy_sell = 2 THEN Market_Rate ELSE 0 END) AS AVGSellRate, CONVERT(VARCHAR, CONVERT(DATETIME, sauda_date, 106), 106) as Sauda_Date,SUM(CASE WHEN Buy_sell = 1 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' and Sauda_Date between convert(datetime,'" + dtpForDate.Value.Date.ToString("dd/MM/yyyy") + "') and convert(datetime,'" + dtpToDate.Value.Date.ToString("dd/MM/yyyy") + "') THEN Trade_Qty ELSE 0 END) AS BuyQty,SUM(CASE WHEN Buy_sell = 2 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' and Sauda_Date between convert(datetime,'" + dtpForDate.Value.Date.ToString("dd/MM/yyyy") + "',106) and convert(datetime,'" + dtpToDate.Value.Date.ToString("dd/MM/yyyy") + "',106) THEN Trade_Qty ELSE 0 END) AS SellQty , SUM(CASE WHEN Buy_sell = 1 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' THEN Trade_Qty ELSE 0 END) -SUM(CASE WHEN Buy_sell = 2 and scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' THEN Trade_Qty ELSE 0 END) AS CarryForword from tradefile where scrip_code='" + ds.Tables[0].Rows[i][2].ToString() + "' and INST_TYPE LIKE 'FUT%' group by convert(datetime,sauda_date,106) order by convert(datetime,sauda_date,106) desc
sauda_date是为nvarchar – Freelancer 2013-04-08 11:55:00
看到我的更新。简单地将其转换为'datetime'。 – 2013-04-08 12:01:07
列'tradefile.Sauda_Date'在选择列表中无效,因为它不包含在聚合函数或GROUP BY子句中。 – Freelancer 2013-04-08 12:03:42