我在一家需要改进班次管理概述的公司工作。他们已经习惯了excel表,我的意思是在Web浏览器上实现解决方案。表格的格式如下:
Employee1 Employee2 Employee3
DD/MM/YYY1 Mon Shift1 Shift2 Shift3
DD/MM/YYY2 Tue Shift2 Shift3 Shift1
DD/MM/YYY3 Wed Shift3 Shift1 Shift2
DD/MM/YYY4 Thu Shift1 Shift2 Shift3
DD/MM/YYY5 Fri Shift2 Shift3 Shift1
我的问题是,现在看起来像这样:
Date Shift_Type_Name Employee_Name
DD/MM/YYY1 Mon Shift1 Employee1
DD/MM/YYY1 Mon Shift2 Employee2
DD/MM/YYY1 Mon Shift3 Employee3
我使用 ASP.net 4.6.1 和 Microsoft SQL Server 。
我会为感兴趣的人附上数据库设计的照片。
我应该专注于SQL查询为每位员工动态添加列,还是使用ListView模板在此设计中显示?等等?
感谢您的关注和帮助。我从这个社区中受益匪浅。 :)
修改 我最接近问题的解决方案(也许这会帮助你更好地理解我的问题)是这个伪代码:
SELECT
[Date].[date] AS 'Date',
FOR EACH( SELECT [Employee].* AS THIS ){
SELECT [Shift_Type].[name] AS [THIS].[Name] + ' Morning',
WHERE [Shifts].[Type] = @morning_hours AND [Shifts].[Employee_fk] = [THIS].[ID]
SELECT [Shift_Type].[name] AS [THIS].[Name] + ' Evening',
WHERE [Shifts].[Type] = @evening_hours AND [Shifts].[Employee_fk] = [THIS].[ID]
}
FROM [Groups]
JOIN [Employee]
ON [Groups].[id] = [Employee].[group_fk]
JOIN [Shifts]
ON [Employee].[id] = [Shifts].[employee_fk]
JOIN [Shift_Types]
ON [Shift_Types].[id] = [Shifts].[type_fk]
RIGHT JOIN [Date]
ON [Date].[id] = [Shifts].[date_fk]
JOIN [Public_Holidays]
ON [Public_Holidays].[date_fk] = [Date].[id]
我知道FOR EACH不是SQL服务器中的一个选项,但希望这能描述我想要实现的目标。
答案 0 :(得分:0)
在做了一些额外的研究后,我发现this video对解释旋转非常有帮助。
以下是我在其帮助下所做的查询:
DECLARE @ColumnNames NVARCHAR(MAX) = '';
DECLARE @SQuery NVARCHAR(MAX) = '';
SELECT @ColumnNames += QUOTENAME(Employee.name) + ','
FROM Employee;
SET @ColumnNames =LEFT(@ColumnNames, LEN(@ColumnNames) - 1);
SET @SQuery =
'
SELECT * FROM
(SELECT
Employee.name as Name,
Date.date as ''Date'',
Shift_Types.name as ''Shift''
FROM [Groups]
JOIN [Employee]
ON [Groups].[id] = [Employee].[group_fk]
JOIN [Shifts]
ON [Employee].[id] = [Shifts].[employee_fk]
JOIN [Shift_Types]
ON [Shift_Types].[id] = [Shifts].[type_fk]
RIGHT JOIN [Date]
ON [Date].[id] = [Shifts].[date_fk]
JOIN [Public_Holidays]
ON [Public_Holidays].[date_fk] = [Date].[id]) as BaseData
PIVOT(
MIN(BaseData.[Shift])
FOR BaseData.[Name]
IN (' + @ColumnNames + ')
) as PivotTable'
EXEC(@SQuery);
我希望这有助于某人。 :)