“分组依据”创建问题答案

【问题标题】："group by" creating issue“分组依据”创建问题
【发布时间】：2013-04-06 08:38:18
【问题描述】：

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 进行分组，但先将当前月份的值分组，然后将上个月的值分组。

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，然后是 3 月的值。

我也尝试使用以下查询进行排序：

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。

【问题讨论】：

通过给我错误来订购。
你一定是在错误的地方下订单。
@shradha 我已经发布了 order by 会发生什么
使用、分组和排序。不要省略group by，SUM、AVG等聚合函数都需要group by！

标签： sql database join

【解决方案1】：

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

这应该可行！

【讨论】：

【解决方案2】：

您可以使用 order by sauda_date 使其成为您想要的方式

【讨论】：

您必须在查询中按“tradefile.Sauda_Date”更改组并按“tradefile.Sauda_Date”排序

【解决方案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 CONVERT(VARCHAR(11),sauda_date) order by CONVERT(VARCHAR(11),sauda_date) asc

【讨论】：

我应该先使用第一顺序然后再分组吗？
问题意味着我得到了相同的结果。
按 asc 订购--> 将为您提供：一月至十二月。 order by desc --> 会给你：dec to jan。希望你用过 asc。
asc 给出了相同的结果，我用 desc 粘贴了结果的图像...它给了我 2013 年 2 月 28 日然后 2013 年 3 月 22 日、2013 年 3 月 21 日、2013 年 3 月 20 日...等等...请帮助我。