在更改数据类型时进行透视(动态)
Pivot while changing data types (dynamically)
假设我有 3 个表:users、customattributes 和 customattributevalues。最终用户可以通过为属性选择名称和类型来添加自定义属性,并为任何用户编辑值。
这是我的用户:
id
firstname
lastname
active
datecreated
username
email
3
Ellen
Ripley
1
3/25/2235
78439
Rip8439@Weyland-Yutani.com
5
Johnny
Rico
1
4/16/2675
Roughneck31
RicoJ31@Roughnecks.com
自定义属性(可以随时添加)
id
fullname
uniquename
type
1
Hire Date
hiredate
date
2
Employee ID
eeid
int
3
Supervisor
supervisor
nvarchar(50)
4
Assigned Ship
assignedship
nvarchar(50)
5
Job Title
jobtitle
nvarchar(50)
我目前拥有的 sysname 数据类型。
自定义属性值(可随时编辑)
id
attributeid
userid
value
1
1
3
2335-03-25
2
2
3
78439
3
3
3
Burke, Carter
4
4
3
Sulaco
5
5
3
Consultant
6
1
5
2675-04-16
7
2
5
78440
8
3
5
LT Rasczak
9
4
5
Rodger Young
10
5
5
Private
我目前的值是 sql_variant
数据类型
所以这是我的问题:我如何创建一个显示所有员工及其属性的报告,每个员工 1 行,而不知道有多少自定义属性 -- 并且 -- 至关重要的是,我想将每一列显式转换为正确的数据类型
期望的输出:
firstname
lastname
datecreated
username
email
Hire Date
Employee ID
Supervisor
Assigned Ship
Job Title
Ellen
Ripley
2235-03-25
78439
Rip8439@Weyland-Yutani.com
2335-03-25
78439
Burke, Carter
Sulaco
Consultant
Johnnie
Rico
2675-04-16
Roughneck31
RicoJ31@Roughnecks.com
2675-04-16
78440
LT Rasczak
Rodger Young
Private
我已经学会了使用 dynamic queries 来执行动态列 headers,但它是逃避我的类型转换。
我正在调整 this solution for custom fields,但此解决方案的局限性在于您必须知道每个自定义字段才能进行类型转换。
这是我试过的方法。我得到了正确的输出,除了类型转换。
查询:
DECLARE @columns NVARCHAR(MAX) = '';
DECLARE @sqlcmd NVARCHAR(MAX) = '';
SELECT @columns += QUOTENAME(fullname) + ','
FROM customattributesx ca
ORDER BY ca.id;
SET @columns = LEFT(@columns, LEN(@columns) - 1);
--PRINT @columns;
SET @sqlcmd = '
SELECT * FROM (
SELECT userid
,firstname
,lastname
,datecreated
,username
,email
,fullname
,value
FROM (
SELECT u.id as userid
,u.firstname
,u.lastname
,u.datecreated
,u.username
,u.email
,ca.id
,ca.fullname as fullname
,ca.uniquename
,ca.type
,cav.value as value
FROM dbo.users u
CROSS JOIN customattributesx ca
INNER JOIN customattributevaluesx cav
ON cav.attributeid = ca.id AND cav.userid = u.id
--ORDER BY u.id asc, ca.id asc
) t1
) t2
PIVOT (
MIN(value)
FOR fullname IN ('+@columns+')
) as pivottable
';
--print @sqlcmd
EXECUTE (@sqlcmd)
创建表:
USE [CTMS]
GO
/****** Object: Table [dbo].[users] Script Date: 11/24/2021 9:29:16 AM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[users](
[id] [int] IDENTITY(1,1) NOT NULL,
[firstname] [nvarchar](max) NULL,
[lastname] [nvarchar](max) NULL,
[active] [bit] NOT NULL,
[datecreated] [datetime2](7) NOT NULL,
[username] [nvarchar](256) NULL,
[email] [nvarchar](256) NULL,
[emailconfirmed] [bit] NOT NULL,
[passwordhash] [nvarchar](max) NULL,
[twofactorenabled] [bit] NOT NULL,
[lockoutend] [datetimeoffset](7) NULL,
[eockoutenabled] [bit] NOT NULL,
[accessfailedcount] [int] NOT NULL,
[qrcode] [nvarchar](50) NULL,
CONSTRAINT [PK_id] PRIMARY KEY CLUSTERED
(
[id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk_email] UNIQUE NONCLUSTERED
(
[email] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk_qrcode] UNIQUE NONCLUSTERED
(
[qrcode] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk_username] UNIQUE NONCLUSTERED
(
[username] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
ALTER TABLE [dbo].[users] ADD DEFAULT (getutcdate()) FOR [datecreated]
GO
USE [CTMS]
GO
/****** Object: Table [dbo].[customattributesx] Script Date: 11/24/2021 9:31:09 AM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[customattributesx](
[id] [smallint] IDENTITY(1,1) NOT NULL,
[fullname] [nvarchar](50) NOT NULL,
[uniquename] [nvarchar](50) NOT NULL,
[type] [sysname] NOT NULL,
CONSTRAINT [PK_customattributesx] PRIMARY KEY CLUSTERED
(
[id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk1_customattributesx] UNIQUE NONCLUSTERED
(
[uniquename] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
USE [CTMS]
GO
/****** Object: Table [dbo].[customattributevaluesx] Script Date: 11/24/2021 9:31:27 AM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[customattributevaluesx](
[id] [int] IDENTITY(1,1) NOT NULL,
[attributeid] [smallint] NOT NULL,
[userid] [int] NOT NULL,
[value] [sql_variant] NOT NULL,
CONSTRAINT [PK_customattributevaluesx] PRIMARY KEY CLUSTERED
(
[id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk1_customattributevaluesx] UNIQUE NONCLUSTERED
(
[attributeid] ASC,
[userid] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
ALTER TABLE [dbo].[customattributevaluesx] WITH CHECK ADD CONSTRAINT [fk1_customattributesvaluesx] FOREIGN KEY([attributeid])
REFERENCES [dbo].[customattributesx] ([id])
GO
ALTER TABLE [dbo].[customattributevaluesx] CHECK CONSTRAINT [fk1_customattributesvaluesx]
GO
ALTER TABLE [dbo].[customattributevaluesx] WITH CHECK ADD CONSTRAINT [fk2_customattributesvaluesx] FOREIGN KEY([userid])
REFERENCES [dbo].[users] ([id])
GO
ALTER TABLE [dbo].[customattributevaluesx] CHECK CONSTRAINT [fk2_customattributesvaluesx]
GO
SQL_VARIANT
可以转换为目标数据类型。
修改生成列列表的动态查询部分,以生成两个列表。一个列表用于 PIVOT
部分,另一个列表用于 SELECT
部分,您可以在其中转换数据类型。
示例基于article you refer to in your question:
DECLARE @PivotList NVARCHAR( MAX )
DECLARE @SelectList NVARCHAR( MAX )
SELECT @SelectList = NULL, @PivotList = NULL
-- Column list with CAST e.g. CAST( eeid AS INT ) AS eeid
-- Data types come from your customattributes table
SELECT @SelectList = COALESCE( @SelectList + ',','') + 'CAST( ' + uniquename + ' AS [type] ) AS ' + uniquename,
-- Just a column list that goes into PIVOT operator
@PivotList = COALESCE( @PivotList + ',','') + uniquename
-- Your tables for attribute values and attribute type definitions
FROM customattributes AS ca
DECLARE @SQLQuery NVARCHAR(MAX)
SET @SQLQuery =
'SELECT StudID , '+@SelectList+'
FROM
( SELECT SM.StudID, S.SubjectName, SM.Score
FROM StudentMarks SM
INNER JOIN Subjects S
ON Sm.SubjectID = S.SubjectID
) AS tbl
PIVOT
( Sum(Score)
FOR SubjectName IN ('+@PivotList+') ) as pvt'
EXEC(@SQLQuery)
如果您必须转换数据类型(实际上可能是表示层的事情),那么动态条件聚合应该可以解决问题。
例子
Declare @SQL nvarchar(max) ='
Select U.*' +
(
Select concat(',',quotename(fullname),'=max(case when attributeid=',id,' then try_convert(',type,',value) end)')
From customattributes
For XML Path ('')
)+'
From users U
Join customattributesvalues V on U.ID=V.userid
Group By U.ID
,U.FirstName
,U.LastName
,U.active
,U.datecreated
,U.username
,U.email
'
--print @SQL
Exec(@SQL)
结果
生成的 SQL 看起来像这样
Select U.*
,[Hire Date]=max(case when attributeid=1 then try_convert(date,value) end)
,[Employee ID]=max(case when attributeid=2 then try_convert(int,value) end)
,[Supervisor]=max(case when attributeid=3 then try_convert(nvarchar(50),value) end)
,[Assigned Ship]=max(case when attributeid=4 then try_convert(nvarchar(50),value) end)
,[Job Title]=max(case when attributeid=5 then try_convert(nvarchar(50),value) end)
From #users U
Join #customattributesvalues V on U.ID=V.userid
Group By U.ID
,U.FirstName
,U.LastName
,U.active
,U.datecreated
,U.username
,U.email
假设我有 3 个表:users、customattributes 和 customattributevalues。最终用户可以通过为属性选择名称和类型来添加自定义属性,并为任何用户编辑值。
这是我的用户:
id | firstname | lastname | active | datecreated | username | |
---|---|---|---|---|---|---|
3 | Ellen | Ripley | 1 | 3/25/2235 | 78439 | Rip8439@Weyland-Yutani.com |
5 | Johnny | Rico | 1 | 4/16/2675 | Roughneck31 | RicoJ31@Roughnecks.com |
自定义属性(可以随时添加)
id | fullname | uniquename | type |
---|---|---|---|
1 | Hire Date | hiredate | date |
2 | Employee ID | eeid | int |
3 | Supervisor | supervisor | nvarchar(50) |
4 | Assigned Ship | assignedship | nvarchar(50) |
5 | Job Title | jobtitle | nvarchar(50) |
我目前拥有的 sysname 数据类型。
自定义属性值(可随时编辑)
id | attributeid | userid | value |
---|---|---|---|
1 | 1 | 3 | 2335-03-25 |
2 | 2 | 3 | 78439 |
3 | 3 | 3 | Burke, Carter |
4 | 4 | 3 | Sulaco |
5 | 5 | 3 | Consultant |
6 | 1 | 5 | 2675-04-16 |
7 | 2 | 5 | 78440 |
8 | 3 | 5 | LT Rasczak |
9 | 4 | 5 | Rodger Young |
10 | 5 | 5 | Private |
我目前的值是 sql_variant
数据类型
所以这是我的问题:我如何创建一个显示所有员工及其属性的报告,每个员工 1 行,而不知道有多少自定义属性 -- 并且 -- 至关重要的是,我想将每一列显式转换为正确的数据类型
期望的输出:
firstname | lastname | datecreated | username | Hire Date | Employee ID | Supervisor | Assigned Ship | Job Title | |
---|---|---|---|---|---|---|---|---|---|
Ellen | Ripley | 2235-03-25 | 78439 | Rip8439@Weyland-Yutani.com | 2335-03-25 | 78439 | Burke, Carter | Sulaco | Consultant |
Johnnie | Rico | 2675-04-16 | Roughneck31 | RicoJ31@Roughnecks.com | 2675-04-16 | 78440 | LT Rasczak | Rodger Young | Private |
我已经学会了使用 dynamic queries 来执行动态列 headers,但它是逃避我的类型转换。
我正在调整 this solution for custom fields,但此解决方案的局限性在于您必须知道每个自定义字段才能进行类型转换。
这是我试过的方法。我得到了正确的输出,除了类型转换。
查询:
DECLARE @columns NVARCHAR(MAX) = '';
DECLARE @sqlcmd NVARCHAR(MAX) = '';
SELECT @columns += QUOTENAME(fullname) + ','
FROM customattributesx ca
ORDER BY ca.id;
SET @columns = LEFT(@columns, LEN(@columns) - 1);
--PRINT @columns;
SET @sqlcmd = '
SELECT * FROM (
SELECT userid
,firstname
,lastname
,datecreated
,username
,email
,fullname
,value
FROM (
SELECT u.id as userid
,u.firstname
,u.lastname
,u.datecreated
,u.username
,u.email
,ca.id
,ca.fullname as fullname
,ca.uniquename
,ca.type
,cav.value as value
FROM dbo.users u
CROSS JOIN customattributesx ca
INNER JOIN customattributevaluesx cav
ON cav.attributeid = ca.id AND cav.userid = u.id
--ORDER BY u.id asc, ca.id asc
) t1
) t2
PIVOT (
MIN(value)
FOR fullname IN ('+@columns+')
) as pivottable
';
--print @sqlcmd
EXECUTE (@sqlcmd)
创建表:
USE [CTMS]
GO
/****** Object: Table [dbo].[users] Script Date: 11/24/2021 9:29:16 AM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[users](
[id] [int] IDENTITY(1,1) NOT NULL,
[firstname] [nvarchar](max) NULL,
[lastname] [nvarchar](max) NULL,
[active] [bit] NOT NULL,
[datecreated] [datetime2](7) NOT NULL,
[username] [nvarchar](256) NULL,
[email] [nvarchar](256) NULL,
[emailconfirmed] [bit] NOT NULL,
[passwordhash] [nvarchar](max) NULL,
[twofactorenabled] [bit] NOT NULL,
[lockoutend] [datetimeoffset](7) NULL,
[eockoutenabled] [bit] NOT NULL,
[accessfailedcount] [int] NOT NULL,
[qrcode] [nvarchar](50) NULL,
CONSTRAINT [PK_id] PRIMARY KEY CLUSTERED
(
[id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk_email] UNIQUE NONCLUSTERED
(
[email] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk_qrcode] UNIQUE NONCLUSTERED
(
[qrcode] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk_username] UNIQUE NONCLUSTERED
(
[username] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
ALTER TABLE [dbo].[users] ADD DEFAULT (getutcdate()) FOR [datecreated]
GO
USE [CTMS]
GO
/****** Object: Table [dbo].[customattributesx] Script Date: 11/24/2021 9:31:09 AM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[customattributesx](
[id] [smallint] IDENTITY(1,1) NOT NULL,
[fullname] [nvarchar](50) NOT NULL,
[uniquename] [nvarchar](50) NOT NULL,
[type] [sysname] NOT NULL,
CONSTRAINT [PK_customattributesx] PRIMARY KEY CLUSTERED
(
[id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk1_customattributesx] UNIQUE NONCLUSTERED
(
[uniquename] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
USE [CTMS]
GO
/****** Object: Table [dbo].[customattributevaluesx] Script Date: 11/24/2021 9:31:27 AM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[customattributevaluesx](
[id] [int] IDENTITY(1,1) NOT NULL,
[attributeid] [smallint] NOT NULL,
[userid] [int] NOT NULL,
[value] [sql_variant] NOT NULL,
CONSTRAINT [PK_customattributevaluesx] PRIMARY KEY CLUSTERED
(
[id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY],
CONSTRAINT [uk1_customattributevaluesx] UNIQUE NONCLUSTERED
(
[attributeid] ASC,
[userid] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
ALTER TABLE [dbo].[customattributevaluesx] WITH CHECK ADD CONSTRAINT [fk1_customattributesvaluesx] FOREIGN KEY([attributeid])
REFERENCES [dbo].[customattributesx] ([id])
GO
ALTER TABLE [dbo].[customattributevaluesx] CHECK CONSTRAINT [fk1_customattributesvaluesx]
GO
ALTER TABLE [dbo].[customattributevaluesx] WITH CHECK ADD CONSTRAINT [fk2_customattributesvaluesx] FOREIGN KEY([userid])
REFERENCES [dbo].[users] ([id])
GO
ALTER TABLE [dbo].[customattributevaluesx] CHECK CONSTRAINT [fk2_customattributesvaluesx]
GO
SQL_VARIANT
可以转换为目标数据类型。
修改生成列列表的动态查询部分,以生成两个列表。一个列表用于 PIVOT
部分,另一个列表用于 SELECT
部分,您可以在其中转换数据类型。
示例基于article you refer to in your question:
DECLARE @PivotList NVARCHAR( MAX )
DECLARE @SelectList NVARCHAR( MAX )
SELECT @SelectList = NULL, @PivotList = NULL
-- Column list with CAST e.g. CAST( eeid AS INT ) AS eeid
-- Data types come from your customattributes table
SELECT @SelectList = COALESCE( @SelectList + ',','') + 'CAST( ' + uniquename + ' AS [type] ) AS ' + uniquename,
-- Just a column list that goes into PIVOT operator
@PivotList = COALESCE( @PivotList + ',','') + uniquename
-- Your tables for attribute values and attribute type definitions
FROM customattributes AS ca
DECLARE @SQLQuery NVARCHAR(MAX)
SET @SQLQuery =
'SELECT StudID , '+@SelectList+'
FROM
( SELECT SM.StudID, S.SubjectName, SM.Score
FROM StudentMarks SM
INNER JOIN Subjects S
ON Sm.SubjectID = S.SubjectID
) AS tbl
PIVOT
( Sum(Score)
FOR SubjectName IN ('+@PivotList+') ) as pvt'
EXEC(@SQLQuery)
如果您必须转换数据类型(实际上可能是表示层的事情),那么动态条件聚合应该可以解决问题。
例子
Declare @SQL nvarchar(max) ='
Select U.*' +
(
Select concat(',',quotename(fullname),'=max(case when attributeid=',id,' then try_convert(',type,',value) end)')
From customattributes
For XML Path ('')
)+'
From users U
Join customattributesvalues V on U.ID=V.userid
Group By U.ID
,U.FirstName
,U.LastName
,U.active
,U.datecreated
,U.username
,U.email
'
--print @SQL
Exec(@SQL)
结果
生成的 SQL 看起来像这样
Select U.*
,[Hire Date]=max(case when attributeid=1 then try_convert(date,value) end)
,[Employee ID]=max(case when attributeid=2 then try_convert(int,value) end)
,[Supervisor]=max(case when attributeid=3 then try_convert(nvarchar(50),value) end)
,[Assigned Ship]=max(case when attributeid=4 then try_convert(nvarchar(50),value) end)
,[Job Title]=max(case when attributeid=5 then try_convert(nvarchar(50),value) end)
From #users U
Join #customattributesvalues V on U.ID=V.userid
Group By U.ID
,U.FirstName
,U.LastName
,U.active
,U.datecreated
,U.username
,U.email