TSQL Pivot without aggregate function

Question

I have a table like this...

CustomerID	DBColumnName	Data
1	FirstName	Joe
1	MiddleName	S
1	LastName	Smith
1	Date	12/12/2009
2	FirstName	Sam
2	MiddleName	S
2	LastName	Freddrick
2	Date	1/12/2009
3	FirstName	Jaime
3	MiddleName	S
3	LastName	Carol
3	Date	12/1/2009

And I want this...

Is this possible using PIVOT?

CustomerID	FirstName	MiddleName	LastName	Date
1	Joe	S	Smith	12/12/2009
2	Sam	S	Freddrick	1/12/2009
3	Jaime	S	Carol	12/1/2009

Answer 1

yes, but why !!??

   Select CustomerID,
     Min(Case DBColumnName When 'FirstName' Then Data End) FirstName,
     Min(Case DBColumnName When 'MiddleName' Then Data End) MiddleName,
     Min(Case DBColumnName When 'LastName' Then Data End) LastName,
     Min(Case DBColumnName When 'Date' Then Data End) Date
   From table
   Group By CustomerId

Answer 2

You can use the MAX aggregate, it would still work. MAX of one value = that value..

In this case, you could also self join 5 times on customerid, filter by dbColumnName per table reference. It may work out better.

Answer 3

WITH pivot_data AS
(
SELECT customerid, -- Grouping Column
dbcolumnname, -- Spreading Column
data -- Aggregate Column
FROM pivot2 
)
SELECT customerid, [firstname], [middlename], [lastname]
FROM pivot_data
PIVOT (max(data) FOR dbcolumnname IN ([firstname],[middlename],[lastname])) AS p;

Answer 4

Ok, sorry for the poor question. gbn got me on the right track. This is what I was looking for in an answer.

SELECT [FirstName], [MiddleName], [LastName], [Date] 
FROM #temp 
PIVOT
(   MIN([Data]) 
    FOR [DBColumnName] IN ([FirstName], [MiddleName], [LastName], [Date]) 
)AS p

Then I had to use a while statement and build the above statement as a varchar and use dynmaic sql.

Using something like this

SET @fullsql = @fullsql + 'SELECT ' + REPLACE(REPLACE(@fulltext,'(',''),')','')
SET @fullsql = @fullsql + 'FROM #temp '
SET @fullsql = @fullsql + 'PIVOT'
SET @fullsql = @fullsql + '('
SET @fullsql = @fullsql + ' MIN([Data])'
SET @fullsql = @fullsql + ' FOR [DBColumnName] IN '+@fulltext
SET @fullsql = @fullsql + ')'
SET @fullsql = @fullsql + 'AS p'

EXEC (@fullsql)

Having a to build @fulltext using a while loop and select the distinct column names out of the table. Thanks for the answers.

Answer 5

SELECT
main.CustomerID,
f.Data AS FirstName,
m.Data AS MiddleName,
l.Data AS LastName,
d.Data AS Date
FROM table main
INNER JOIN table f on f.CustomerID = main.CustomerID
INNER JOIN table m on m.CustomerID = main.CustomerID
INNER JOIN table l on l.CustomerID = main.CustomerID
INNER JOIN table d on d.CustomerID = main.CustomerID
WHERE f.DBColumnName = 'FirstName' 
AND m.DBColumnName = 'MiddleName' 
AND l.DBColumnName = 'LastName' 
AND d.DBColumnName = 'Date' 

Edit: I have written this without an editor & have not run the SQL. I hope, you get the idea.

Answer 6

The OP didn't actually need to pivot without agregation but for those of you coming here to know how see:

sql parameterised cte query

The answer to that question involves a situation where pivot without aggregation is needed so an example of doing it is part of the solution.

Answer 7

This should work:

select * from (select [CustomerID]  ,[Demographic] ,[Data]
from [dbo].[pivot]
) as Ter

pivot (max(Data) for  Demographic in (FirstName, MiddleName, LastName, [Date]))as bro

Answer 8

Try this:

SELECT CUSTOMER_ID, MAX(FIRSTNAME) AS FIRSTNAME, MAX(LASTNAME) AS LASTNAME ...

FROM
(

SELECT CUSTOMER_ID, 
       CASE WHEN DBCOLUMNNAME='FirstName' then DATA ELSE NULL END AS FIRSTNAME,
       CASE WHEN DBCOLUMNNAME='LastName' then DATA ELSE NULL END AS LASTNAME,
        ... and so on ...
GROUP BY CUSTOMER_ID

) TEMP

GROUP BY CUSTOMER_ID

Answer 9

Here is a great way to build dynamic fields for a pivot query:

--summarize values to a tmp table

declare @STR varchar(1000)
SELECT  @STr =  COALESCE(@STr +', ', '') 
+ QUOTENAME(DateRange) 
from (select distinct DateRange, ID from ##pivot)d order by ID

---see the fields generated

print @STr

exec('  .... pivot code ...
pivot (avg(SalesAmt) for DateRange IN (' + @Str +')) AS P
order by Decile')

Answer 10

By definition, all pivots aggregate, however there is a simple way to make sure all the data gets pivoted. The columns besides for the pivot are the group by's. So you can create a row_number in your data partioned by the other group by's and include that in your pivot data. for example:

with data as (
    select 'a' key1,'1' key2,'samplecolumn' as col,'3' as val
    union all
    select 'a' key1,'1' key2,'samplecolumn' as col,'6' as val
    union all
    select 'a' key1,'2' key2,'samplecolumn' as col,'7' as val
    union all
    select 'a' key1,'2' key2,'samplecolumn' as col,'9' as val
    union all
    select 'b' key1,'1' key2,'samplecolumn' as col,'23' as val
    union all
    select 'b' key1,'1' key2,'samplecolumn' as col,'45' as val
),
data_with_rownum as (
    select *, ROW_NUMBER() over (partition by key1,key2 order by (select null)) rownum from data
)
select key1,key2,rownum,samplecolumn from data_with_rownum
PIVOT (max(val) FOR col IN (samplecolumn)) AS p;