Pivot table with one row and four columns - sql-server

Question

-- Pivot table with one row and four columns
SELECT 'Values' tValues,
ID,Name,ValueID,Value FROM (
Select ID,Name,ValueID,Value FROM Table WHERE OptionID = 1000000
) AS SourceTable
PIVOT (
COUNT(tValues)
FOR tValues IN ( ID,Attribute,ValueID,Value )
) AS PivotTable;
I'm going off the example at Microsoft.com: http://msdn.microsoft.com/en-us/library/ms177410.aspx
But there are a few things about Pivot i don't really understand, so don't be surprised when you see it in the code above, such as COUNT(tValues), I have no idea what this is for, by judging from the example on microsoft, it seems to be always some sort of numeric value, so i figured i'd try it to see if it would return something, but all it returns is an error. Anyhow, if someone out there can share why this query doesn't work, and possibly explain what the numeric value above the FOR is used for?
The Table containts an x amount of rows, with four columns, so it looks like this:
ID | Name | ValueID | Value
100 | Color | 10000 | Black
101 | Size | 10005 | Large
The output should be like this:
Name_100 | Color | Name_101 | Size |
10000 | Black | 10005 | Large |

Answer 1

Something like this maybe.
This will only work if the name column is unique. If not then you might want to append an id on it.
So first some test data:
CREATE TABLE tblValues
(
ID INT,
Name VARCHAR(100),
ValueID INT,
Value VARCHAR(100)
)
INSERT INTO tblValues
VALUES
(100,'Color',10000,'Black'),
(101,'Size',10005,'Large')
Then you need to get the columns to pivot on:
DECLARE #cols VARCHAR(MAX)
;WITH CTE AS
(
SELECT
'Name_'+CAST(tbl.ID AS VARCHAR(100)) AS Name,
'Name_'+CAST(tbl.ID AS VARCHAR(100)) AS Sort,
tbl.ID
FROM
tblValues AS tbl
UNION ALL
SELECT
tbl.Name,
'Value_'+CAST(tbl.ID AS VARCHAR(100)) AS Sort,
tbl.ID
FROM
tblValues AS tbl
)
SELECT
#cols = COALESCE(#cols + ','+QUOTENAME(Name),
QUOTENAME(Name))
FROM
CTE
ORDER BY
CTE.ID,
CTE.Sort
Then declaring and executing the dynamic sql like this:
DECLARE #query NVARCHAR(4000)=
N'SELECT
*
FROM
(
SELECT
''Name_''+CAST(tbl.ID AS VARCHAR(100)) AS pivotName,
CAST(tbl.ValueID AS VARCHAR(100)) AS name
FROM
tblValues AS tbl
UNION ALL
SELECT
tbl.Name AS pivotName,
tbl.Value AS name
FROM
tblValues AS tbl
) AS p
PIVOT
(
MAX(name)
FOR pivotName IN ('+#cols+')
) AS pvt'
EXECUTE(#query)
Then in my case I will drop the table I have created
DROP TABLE tblValues
Edit
Or in you case it should be something like this:
First the columns:
DECLARE #cols VARCHAR(MAX)
;WITH CTE AS
(
SELECT
'Name_'+CAST(tbl.ID AS VARCHAR(100)) AS Name,
'Name_'+CAST(tbl.ID AS VARCHAR(100)) AS Sort,
tbl.ID
FROM
[Table] AS tbl
WHERE
tbl.OptionID = 1000000
UNION ALL
SELECT
tbl.Name,
'Value_'+CAST(tbl.ID AS VARCHAR(100)) AS Sort,
tbl.ID
FROM
[Table] AS tbl
WHERE
tbl.OptionID = 1000000
)
SELECT
#cols = COALESCE(#cols + ','+QUOTENAME(Name),
QUOTENAME(Name))
FROM
CTE
ORDER BY
CTE.ID,
CTE.Sort
Then the dynamic sql.
DECLARE #query NVARCHAR(4000)=
N'SELECT
*
FROM
(
SELECT
''Name_''+CAST(tbl.ID AS VARCHAR(100)) AS pivotName,
CAST(tbl.ValueID AS VARCHAR(100)) AS name
FROM
[Table] AS tbl
WHERE
tbl.OptionID = 1000000
UNION ALL
SELECT
tbl.Name AS pivotName,
tbl.Value AS name
FROM
[Table] AS tbl
WHERE
tbl.OptionID = 1000000
) AS p
PIVOT
(
MAX(name)
FOR pivotName IN ('+#cols+')
) AS pvt'
EXECUTE(#query)
You do not need to create the table or drop the table. That was just because I did not have your table in my database and that if someone else want's to run the example.

Answer 2

If you want to use Pivot tables with a variable number of columns, then I'd suggest using something along the lines of;
DECLARE #cols VARCHAR(4000)
DECLARE #query VARCHAR(8000)
SELECT #cols = STUFF(( SELECT DISTINCT
'],[' + Name
FROM Table
ORDER BY '],[' + Name
FOR XML PATH('')
), 1, 2, '') + ']'
SET #query =
'SELECT * FROM
(
SELECT col1, col2, col3, whateverColYourInterestedIn, Name, Value
FROM Table
)t
PIVOT (MAX(Value) FOR Name
IN ('+#cols+')) AS pvt'
EXECUTE (#query)
That is probably not quite right, but it should hopefully be a starting point for you.
For more info, check out links such as this or this.