“分组”创造问题

Question

我的查询如下：

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)"

在这个查询中，我使用了sauda_date组。

它由sauda_date对其进行分组，但是将当月的值首先分组，然后是上个月。

我想完全相反，它应该在2月之前分组，然后进行游行。

我的数据可视化工具如下：

在这里，我们可以看到它应首先显示2013年2月28日的值，然后显示3月份的值。

我也尝试过使用以下查询：

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(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%' order by CONVERT(VARCHAR(11),sauda_date) desc

但是它给了我以下错误：

Column 'tradefile.Sauda_Date' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause.

注意： sauda日期是nvarchar

我的查询中有什么错误？

我应该在其中添加更多内容吗？

编辑查询：

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(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

请指导我。

Answer 1

你可以使用通过订单来使用sauda_date来实现你想要的方式

Answer 2

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) asc

Answer 3

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 sauda_date order by sauda_date asc

这应该有用！