sql - “分组依据”创建问题

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 group by sauda_date。

它按 sauda_date 对它进行分组，但首先对当前月份的值进行分组，然后对上个月的值进行分组。

我想要完全相反，它应该在二月之前分组，然后三月。

我的数据可视化工具如下：

在这里我们可以看到它应该首先显示 2013 年 2 月 28 日的值，然后显示 3 月的值。

我还尝试了通过以下查询订购：

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

您可以使用order by sauda_date 使其成为您想要的方式

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

这应该工作！