There is a given table with following structure:
DateAndTime | Count Wine | Count Beer
2014-08-11 16:45:22.480 | 100 | 50
2014-08-12 16:45:22.480 | 50 | 50
2014-08-18 16:45:22.480 | 200 | 100
2014-08-19 16:45:22.480 | 300 | 200
What I need is a select statement with following Output:
--- | Week No 33 | Week No 34
Beer | 50 | 150
Wine | 75 | 250
So the columns (week no.) are dynamically depending on data.
And the calaculated values should be the average of the rows within the calendar week.
I have no idea how to solve this....
Not sure if it is an elegant way.. but this works.
create table sample
(
dtdate smalldatetime,
cWine int,
cBeer int
)
insert into sample
values('2014-08-11 16:45:22.480', 100 , 50),('2014-08-12 16:45:22.480', 50, 50),
('2014-08-18 16:45:22.480', 200 , 100),('2014-08-19 16:45:22.480', 300 , 200)
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(DATEPART(WEEK,dtDate)) from sample FOR XML PATH(''), TYPE ).value('.', 'NVARCHAR(MAX)') ,1,1,'')
SELECT #query = 'SELECT Countname, '+#cols+'
FROM
(
SELECT countName,y,Avg(CountValue)avge from
(
SELECT countName,countValue,dtdate,DATEPART(WEEK,dtdate)as y from sample
unpivot(
countValue for Countname in (cwine,cBeer)
)unpiv )x group by y,countName
) x
pivot
(
sum(avge)
for y in ('+#cols+')
) p'
execute(#query)
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(DATEPART(WEEK,dtdate))
from master.sample
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
SELECT #query = 'SELECT Countname, '+#cols+'
FROM
(
SELECT countName,y,Avg(CountValue)avge from
(
SELECT countName,countValue,dtdate,DATEPART(WEEK,dtdate)as y from sample
unpivot(
countValue for Countname in (cwine,cBeer)
)unpiv )x group by y,countName
) x
pivot
(
sum(avge)
for y in ('+#cols+')
) p'
SELECT #query
execute(#query)
Related
Closed. This question needs details or clarity. It is not currently accepting answers.
Want to improve this question? Add details and clarify the problem by editing this post.
Closed 4 years ago.
Improve this question
Two Tables:
first Table name: employee_1 | Second table name:employee_2
code | Name | Salary | Month|Year code | Name | Salary |Post |Month |Year
-----+------+--------+------+-- -----+------+--------+-----+------+----
1 | A | 1000 | May | 2017 1 | A | 2000 |clerk|April |2017
2 | B | 1150 | May | 2017 2 | B | 3000 |clerk|April |2017
1 | A | 1200 | June | 2017
2 | B | 1150 | June | 2017
1 | A | 4000 | July | 2017
2 | B | 3500 | July | 2017
Output should be like this for year=2017:
code | Name |April | May | June | July
------+------+------+-------+------+-
1 | A |2000 | 1000 | 1200 | 4000
2 | B |3000 | 1150 | 1150 | 3500
I am not sure whether you can write an SQL query in one command for the output because here you want the row (Month) to be changed into the column. So the ideal solution will be writing a pivot query.
you can use the PIVOT function to transform the data from rows into columns.
It sounds like you will need to use dynamic SQL if the Months are unknown or if they dynamically changed.
create table employee (code int , name varchar(100), salary money, Month1 varchar(100));
INSERT INTO employee (code, name, salary, Month1)
VALUES
(1 , 'A' , 1000 , 'may'),
(2 , 'B' , 1150 , 'may'),
(1 , 'A' , 1200 , 'June'),
(2 , 'B' , 1150 , 'June'),
(1 , 'A' , 4000 , 'July'),
(2 , 'B' , 3500 , 'July')
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(Month1)
from employee
group by Month1
order by Month1
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select #cols
set #query = 'SELECT code,name,' + #cols + ' from
(
select code, name, salary,Month1
from employee
) x
pivot
(
sum(salary)
for month1 in (' + #cols + ')
) p '
execute (#query)
#With Year as requested in comment
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#year As varchar(100)
select #cols = STUFF((SELECT ',' + QUOTENAME(Month1)
from employee1
group by Month1
order by Month1
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #year = '2018'
set #query = 'SELECT code,name,' + #cols + ' from
(
select code, name, salary,Month1,year
from employee1
) x
pivot
(
sum(salary)
for month1 in (' + #cols + ')
) p where year ='+ #year +''
execute (#query)
with respect to two tables
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#year As varchar(100),
#cols1 as varchar(1000),
#cols2 as varchar(1000)
select #cols = STUFF((SELECT ',' + QUOTENAME(Month1)
from employee1
group by Month1
order by Month1
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #cols1 = STUFF((SELECT ',' + QUOTENAME(Month)
from employee2
group by Month
order by Month
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #cols2 = #cols1 +',' + #cols
set #year = '2017'
set #query = 'SELECT code,name,' + #cols2 + ' from
(
select code, name, salary,Month1,year
from employee1
union all
select code,name,salary,Month,year from employee2
) x
pivot
(
sum(salary)
for month1 in (' + #cols2 + ')
) p where year ='+ #year +''
execute (#query)
I found this great post for transposing a table in sql:
Simple way to transpose columns and rows in Sql?
edit:
input:
Paul | John | Tim | Eric
Red 'hi' | 5 | 1 | 3.3
Green 'there' | 4 | 3 | 5.5
Blue 'everyone'| 2 | 9 | 7.5
expected output:
Red | Green | Blue
Paul 'hi' | 'there' | 'everyone'
John 5 | 4 | 2
Tim 1 | 3 | 9
Eric 3.3 | 5.5 | 7.5
And I wanted to employ the last dynamic solution for a table that has different data types dynamically:
CREATE TABLE yourTable([color] nvarchar(5), [Paul] nvarchar(10), [John] int, [Tim]
int, [Eric] float);
INSERT INTO yourTable
([color], [Paul], [John], [Tim], [Eric])
VALUES
('Red', 'hi', 5, 1, 3.3),
('Green', 'there', 4, 3, 5.5),
('Blue', 'everyone', 2, 9, 7.5);
When I run the code from the previous answer:
DECLARE #colsUnpivot AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX)
select #colsUnpivot = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('yourtable') and
C.name <> 'color'
for xml path('')), 1, 1, '')
select #colsPivot = STUFF((SELECT ','
+ quotename(color)
from yourtable t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select name, '+#colsPivot+'
from
(
select color, name, value
from yourtable
unpivot
(
value for name in ('+#colsUnpivot+')
) unpiv
) src
pivot
(
sum(value)
for color in ('+#colsPivot+')
) piv'
exec(#query)
When I run this code I get the error message:
The type of column "John" conflicts with the type of other columns specified in the UNPIVOT list.
Is there a way that I can use this dynamic solution for my table without losing the dynamic nature of it? I'd like to ideally pass a bunch of tables into this method to transpose them in batch.
Thanks
A method to overcome this would be to use the data type SQL_VARIANT so that the resulting columns can handle more than a single data type. However you cannot SUM() SQL_VARIANT columns, so sum(value) has to be changed to max(value) - or min(value) - but for this pivot that change does not alter the result.
DECLARE #colsConvert AS NVARCHAR(MAX)
DECLARE #colsUnpivot AS NVARCHAR(MAX)
DECLARE #colsPivot as NVARCHAR(MAX)
DECLARE #query AS NVARCHAR(MAX)
select #colsConvert = (select ', cast('+quotename(C.name)+' as sql_variant) as '+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('yourtable') and
C.name <> 'color'
for xml path(''))
select #colsUnpivot = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('yourtable') and
C.name <> 'color'
for xml path('')), 1, 1, '')
select #colsPivot = STUFF((SELECT ','
+ quotename(color)
from yourtable t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select name, '+#colsPivot+'
from
(
select color, name, value
from (select color'+#colsConvert+' from yourtable) as converted
unpivot
(
value for name in ('+#colsUnpivot+')
) unpiv
) src
pivot
(
max(value)
for color in ('+#colsPivot+')
) piv'
exec(#query)
See this working at: http://rextester.com/IBSN39688
Result:
+------+-----+-------+----------+
| name | Red | Green | Blue |
+------+-----+-------+----------+
| Eric | 3.3 | 5.5 | 7.5 |
| John | 5 | 4 | 2 |
| Paul | hi | there | everyone |
| Tim | 1 | 3 | 9 |
+------+-----+-------+----------+
The generated SQL:
select name, [Red],[Green],[Blue]
from
(
select color, name, value
from (select color, cast([Eric] as sql_variant) as [Eric], cast([John] as sql_variant) as [John], cast([Paul] as sql_variant) as [Paul], cast([Tim] as sql_variant) as [Tim] from yourtable) as converted
unpivot
(
value for name in ([Eric],[John],[Paul],[Tim])
) unpiv
) src
pivot
(
max(value)
for color in ([Red],[Green],[Blue])
) piv
+EDIT
An added benefit of using SQL_VARIANT in the result columns is that each standard data type encountered will adopt its default format. Particularly relevant for decimal/float and date/time data. You could also amend the defaults before running the dynamic pivot to further influence the output.
Demonstrated here
The following will transpose virtually any table, view, or query while respecting Row and Column sequences.
Full Disclosure: There is one major drawback. This approach does NOT handle NULL values well. A NULL value will cause the following columns to shift to the left.
Example
Declare #YourTable Table ([Color] varchar(50),[Paul] varchar(50),[John] int,[Tim] int,[Eric] decimal(10,1))
Insert Into #YourTable Values
('Red','hi',5,1,3.3)
,('Green','there',4,3,5.5)
,('Blue','everyone',2,9,7.5)
Declare #XML xml = (Select *,RowNr=Row_Number() over (Order By (Select NULL)) From #YourTable for XML RAW)
Select RowNr = Row_Number() over(Partition By r.value('#RowNr','int') Order By (Select null))
,ColNr = r.value('#RowNr','int')
,Item = attr.value('local-name(.)','varchar(100)')
,Value = attr.value('.','varchar(max)')
Into #Temp
From #XML.nodes('/row') as XN(r)
Cross Apply XN.r.nodes('./#*') AS XA(attr)
Where attr.value('local-name(.)','varchar(100)') not in ('RowNr')
Declare #SQL varchar(max) = '
Select [Item],' + Stuff((Select Distinct ',' + QuoteName(ColNr)+' as '+QuoteName(Value) From #Temp Where RowNr=1 Order by 1 For XML Path('')),1,1,'') + '
From #Temp
Pivot (max([Value]) For [ColNr] in (' + Stuff((Select Distinct ',' + QuoteName(ColNr) From #Temp Order by 1 For XML Path('')),1,1,'') + ') ) p
Where RowNr>1
Order By RowNr'
Exec(#SQL);
Returns
Item Red Green Blue
Paul hi there everyone
John 5 4 2
Tim 1 3 9
Eric 3.3 5.5 7.5
dbFiddle
I have a query result like this :
Date User1 User2 User3 ....
----------------------------------
1/1/2000 55 78 98 ...
1/1/2001 26 33 56 ...
1/1/2002 88 67 12 ...
The number of columns is not known because it is the result of a pivot query.
I would like to change the name the columns to something that looks like this :
Date User1 (blue) User2 (green) User3(brown)
The color is an information I retrieve from another table.
How can I achieve this ?
Thanks
Edit : Here is the query.
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(C.Name)
from [History]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT [Date],' + #cols +'
from
(
select [Date], Name, Value
from [History]
) x
pivot
(
max(value)
for Name in (' + #cols + ')
) p '
execute(#query)
SQL Fiddle
Schema Setup:
create table history (date datetime, name varchar(10), value int);
insert history values
('20130101', 'user1', 123),
('20130101', 'user2', 124),
('20130101', 'user3', 125),
('20130102', 'user1', 223),
('20130102', 'user3', 223),
('20130103', 'user2', 323);
create table colours (name varchar(10), colour_name varchar(10));
insert colours values
('user1', 'blue'),
('user2', 'green'),
('user3', 'brown');
Query:
DECLARE #scols nvarchar(max),
#cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
select #cols = STUFF((
SELECT ',' + QUOTENAME(C.Name)
from (select distinct name from [History]) C
ORDER BY C.Name
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'),1,1,'');
select #scols = STUFF((
SELECT ',' + QUOTENAME(Name) + ' AS ' + QUOTENAME(colour_Name)
from (select distinct c.name, x.colour_name
from [History] C
JOIN colours x on x.name = c.name) y
ORDER BY Name
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'),1,1,'');
set #query = '
SELECT [Date],' + #scols +'
from (
select [Date], Name, Value
from [History]
) x
pivot
(
max(value)
for Name in (' + #cols + ')
) p ';
-- print #query --<< uncomment this line to see the query that gets generated
exec (#query);
Results:
| DATE | BLUE | GREEN | BROWN |
-------------------------------------------------------------
| January, 01 2013 00:00:00+0000 | 123 | 124 | 125 |
| January, 02 2013 00:00:00+0000 | 223 | (null) | 223 |
| January, 03 2013 00:00:00+0000 | (null) | 323 | (null) |
To get the mapping You can use a lookup table of old column name to new column name for example
CREATE TABLE colname(
oldname varchar(20),
newname varchar(20)
)
insert into colname values ( 'user1','user1 (blue)');
insert into colname values ( 'user2','user2 (green)');
then you can build an sql statement that uses this mapping
declare #sq varchar(2000)
set #sq ='select date'
select #sq = #sq + ',' + oldname + ' as [' + newname +']' from colname
set #sq = #sq + 'from ( existing query goes here ) '
select #sq
when the sql in #sq looks good you can replace the last select with
exec ( #sq )
to run the query
select Date, User1 as blue,User2 as green,User3 as brown from tableName
Use query like this.
Make use of 'as' keyword for changing column name.
I have read dozens of solutions to similar transposition problems as the one I am about to propose but oddly none that exactly mirrors my issue. I am simply trying to flip my rows to columns in a simple dashboard type data set.
The data when pulled from various transaction tables looks like this:
DatePeriod PeriodNumberOverall Transactions Customers Visits
'Jan 2012' 1 100 50 150
'Feb 2012' 2 200 100 300
'Mar 2012' 3 300 200 600
and I want to be able to generate the following:
Jan 2012 Feb 2012 Mar 2012
Transactions 100 200 300
Customers 50 100 200
Visits 150 300 600
The metrics will be static (Transactions, Customers and Visits), but the date periods will be dynamic (IE - more added as months go by).
Again, I have ready many examples leveraging pivot, unpivot, store procedures, UNION ALLs, etc, but nothing where I am not doing any aggregating, just literally transposing the whole output. I have also found an easy way to do this in Visual Studio 2005 using a matrix with an embedded list, but I can't export the final output to excel which is a requirement. Any help would be greatly appreciated.
In order to get the result that you want you need to first UNPIVOT the data and then PIVOT theDatePeriod` Values.
The UNPIVOT will transform the multiple columns of Transactions, Customers and Visits into multiple rows. The other answers are using a UNION ALL to unpivot but SQL Server 2005 was the first year the UNPIVOT function was supported.
The query to unpivot the data is:
select dateperiod,
col, value
from transactions
unpivot
(
value for col in (Transactions, Customers, Visits)
) u
See Demo. This transforms your current columns into multiple rows, so the data looks like the following:
| DATEPERIOD | COL | VALUE |
-------------------------------------
| Jan 2012 | Transactions | 100 |
| Jan 2012 | Customers | 50 |
| Jan 2012 | Visits | 150 |
| Feb 2012 | Transactions | 200 |
Now, since the data is in rows, you can apply the PIVOT function to the DatePeriod column:
select col, [Jan 2012], [Feb 2012], [Mar 2012]
from
(
select dateperiod,
t.col, value, c.SortOrder
from
(
select dateperiod,
col, value
from transactions
unpivot
(
value for col in (Transactions, Customers, Visits)
) u
) t
inner join
(
select 'Transactions' col, 1 SortOrder
union all
select 'Customers' col, 2 SortOrder
union all
select 'Visits' col, 3 SortOrder
) c
on t.col = c.col
) d
pivot
(
sum(value)
for dateperiod in ([Jan 2012], [Feb 2012], [Mar 2012])
) piv
order by SortOrder;
See SQL Fiddle with Demo.
If you have an unknown number of date period's then you will use dynamic SQL:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(dateperiod)
from transactions
group by dateperiod, PeriodNumberOverall
order by PeriodNumberOverall
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT col, ' + #cols + '
from
(
select dateperiod,
t.col, value, c.SortOrder
from
(
select dateperiod,
col, value
from transactions
unpivot
(
value for col in (Transactions, Customers, Visits)
) u
) t
inner join
(
select ''Transactions'' col, 1 SortOrder
union all
select ''Customers'' col, 2 SortOrder
union all
select ''Visits'' col, 3 SortOrder
) c
on t.col = c.col
) x
pivot
(
sum(value)
for dateperiod in (' + #cols + ')
) p
order by SortOrder'
execute(#query)
See SQL Fiddle with Demo. Both will give the result:
| COL | JAN 2012 | FEB 2012 | MAR 2012 |
-------------------------------------------------
| Transactions | 100 | 200 | 300 |
| Customers | 50 | 100 | 200 |
| Visits | 150 | 300 | 600 |
You need to dynamically create a SQL statement with PIVOT and APPLY operators on the fly and then run that command. If your metrics static(Transactions, Customers and Visits), hence we can use CROSS APPLY operator with VALUES As a Table Source.
For SQL Server2008+
DECLARE #cols nvarchar( max),
#query nvarchar(max)
SELECT #cols =
STUFF((SELECT ',' + QUOTENAME(t.DatePeriod) AS ColName
FROM dbo.test62 t
FOR XML PATH(''), TYPE).value ('.', 'nvarchar(max)'), 1, 1, '')
SET #query =
'SELECT *
FROM (
SELECT t.DatePeriod, COALESCE(o.Transactions, o.Customers, o.Visits) AS PvtVals, o.PvtColumns, o.OrderColumns
FROM dbo.test62 t CROSS APPLY (
VALUES(t.Transactions, NULL, NULL, ''Transaction'', 1),
(NULL, t.Customers, NULL, ''Customers'', 2),
(NULL, NULL, t.Visits, ''Visits'', 3)
) o (Transactions, Customers, Visits, PvtColumns, OrderColumns)
) p
PIVOT
(
MAX(PvtVals) FOR DatePeriod IN (' + #cols + ')
) AS pvt
ORDER BY pvt.OrderColumns '
EXEC(#query)
Result:
PvtColumns Jan 2012 Fed 2012 Mar 2012
Transaction 100 200 300
Customers 50 100 200
Visits 150 300 600
Demo on SQLFiddle
For SQL Server 2005
DECLARE #cols nvarchar( max),
#query nvarchar(max)
SELECT #cols =
STUFF((SELECT ',' + QUOTENAME(t.DatePeriod) AS ColName
FROM dbo.test62 t
FOR XML PATH(''), TYPE).value ('.', 'nvarchar(max)'), 1, 1, '')
SET #query =
'SELECT *
FROM (
SELECT t.DatePeriod, COALESCE(o.Transactions, o.Customers, o.Visits) AS PvtVals, o.PvtColumns, o.OrderColumns
FROM dbo.test62 t CROSS APPLY (
SELECT t.Transactions, NULL, NULL, ''Transaction'', 1
UNION ALL
SELECT NULL, t.Customers, NULL, ''Customers'', 2
UNION ALL
SELECT NULL, NULL, t.Visits, ''Visits'', 3
) o (Transactions, Customers, Visits, PvtColumns, OrderColumns)
) p
PIVOT
(
MAX(PvtVals) FOR DatePeriod IN (' + #cols + ')
) AS pvt
ORDER BY pvt.OrderColumns'
EXEC(#query)
If you can know how many different date period in advance, then you can use fixed query like following:
;with CTE_UNIONTable
as
(
select [DatePeriod],[PeriodNumberOverall],[Transactions] as [value], 'Transactions' as subType from table1
UNION ALL
select [DatePeriod],[PeriodNumberOverall],[Customers] as [value], 'Customers' as subType from table1
UNION ALL
select [DatePeriod],[PeriodNumberOverall],[Visits] as [value], 'Visits' as subType from table1
), CTE_MiddleResult
as
(
select * from CTE_UNIONTable
pivot
(
max(value)
for DatePeriod in ([Jan 2012],[Feb 2012],[Mar 2012])
) as P
)
select SubType, max([Jan 2012]) as [Jan 2012] ,max([Feb 2012]) as [Feb 2012], max([Mar 2012]) as [Feb 2012]
from CTE_MiddleResult
group by SubType
SQL FIDDLE DEMO
If how many date period is unpredictable, then #Alexander already gave the solution, the following code is just a second opinion, instead of using APPLY, using UNION ALL
DECLARE #cols nvarchar( max),
#query nvarchar (max),
#selective nvarchar(max)
SELECT #cols =
STUFF((SELECT ',' + QUOTENAME(t.DatePeriod) AS ColName
FROM table1 t
FOR XML PATH( ''), TYPE).value ('.', 'nvarchar(max)'),1,1,'')
SELECT #selective =
STUFF((SELECT ',MAX(' + QUOTENAME(t.DatePeriod) +') as ' + QUOTENAME(t.DatePeriod) AS ColName
FROM table1 t
FOR XML PATH( ''), TYPE).value ('.', 'nvarchar(max)'),1,1,'')
set #query = '
;with CTE_UNIONTable
as
(
select [DatePeriod],[PeriodNumberOverall],[Transactions] as [value], ''Transactions'' as subType from table1
UNION ALL
select [DatePeriod],[PeriodNumberOverall],[Customers] as [value], ''Customers'' as subType from table1
UNION ALL
select [DatePeriod],[PeriodNumberOverall],[Visits] as [value], ''Visits'' as subType from table1
), CTE_MiddleResult
as
(
select * from CTE_UNIONTable
pivot
(
max(value)
for DatePeriod in ('+#cols+')
) as P
)
select SubType,' + #selective + '
from CTE_MiddleResult
group by SubType'
exec(#query)
SQL FIDDLE DEMO
sample datas
date | num | name | value
01012012 | 1 | A | 20
01012012 | 1 | B | 30
01012012 | 2 | C | 40
wish to like this
date | num | A | B | C
01012012 | 1 | 20 | 30 | --
01012012 | 2 | -- | -- | 40
name is not fixed can allow many names
How about something like
DECLARE #Table TABLE(
date DATETIME,
num INT,
name VARCHAR(20),
value FLOAT
)
INSERT INTO #Table SELECT '20121201',1,'A',20
INSERT INTO #Table SELECT '20121201',1,'B',30
INSERT INTO #Table SELECT '20121201',2,'C',40
SELECT *
FROM (
SELECT date,
num,
name,
value
FROM #Table
) t
PIVOT (
SUM(Value) FOR name IN ([A],[B],[C])
) p
SQL Fiddle DEMO
For dynamic columns you need to use dynamic SQL
SQL FIDDLE EXAMPLE
declare
#cols nvarchar(max),
#stmt nvarchar(max)
select #cols = isnull(#cols + ', ', '') + '[' + Name + ']' from table1
select #stmt = '
select *
from table1 as T
pivot
(
max(T.value)
for name in (' + #cols + ')
) as P'
exec sp_executesql #stmt = #stmt
If you don't need a dynamic number of columns, you can use plain SQL like
select *
from table1 as T
pivot
(
max(T.value)
for name in ([A],[B],[C])
) as P