I have a SQL table like below:
ID StepID Rating Comments StaffID Date
-------------------------------------------------------------
1 1 6 blah blah 1025 2014-03-20
1 2 6 blah blah 1025 2014-03-20
1 3 8 blah blah 1025 2014-03-20
1 4 7 blah blah 1025 2014-03-20
As you can see the data for columns ID, Comments, StaffID and Dates are repeated (the same).
How do I make the above table into something like below:
ID Step1 Step2 Step3 Step4 Comments StaffID Date
----------------------------------------------------------------------------------
1 6 6 8 7 blah blah 1025 2014-03-20
Any help appreciated!
You could do something like this:
Test data
DECLARE @tbl TABLE(ID INT,StepID int,Rating INT,
Comments VARCHAR(200), StaffID INT,Date DATETIME)
INSERT INTO @tbl
VALUES
(1,1,6,'blah blah',1025,'2014-03-20'),
(1,2,6,'blah blah',1025,'2014-03-20'),
(1,3,8,'blah blah',1025,'2014-03-20'),
(1,4,7,'blah blah',1025,'2014-03-20')
Query
SELECT
pvt.ID,
pvt.[1] AS Step1,
pvt.[2] AS Step2,
pvt.[3] AS Step3,
pvt.[4] AS Step4,
pvt.Comments,
pvt.StaffID,
pvt.Date
FROM
(
SELECT
*
FROM
@tbl AS tbl
) AS sourceTable
PIVOT
(
MAX(Rating)
FOR StepID IN ([1],[2],[3],[4])
) AS pvt
Edit
If you do not know how many step that you have. You need to do a dynamic pivot. Like this:
Test data
CREATE TABLE tbl
(
ID INT,
StepID int,
Rating INT,
Comments VARCHAR(200),
StaffID INT,
Date DATETIME
)
INSERT INTO tbl
VALUES
(1,1,6,'blah blah',1025,'2014-03-20'),
(1,2,6,'blah blah',1025,'2014-03-20'),
(1,3,8,'blah blah',1025,'2014-03-20'),
(1,4,7,'blah blah',1025,'2014-03-20')
Getting the unique steps:
DECLARE @cols VARCHAR(MAX)
SELECT @cols=STUFF
(
(
SELECT DISTINCT
',' +QUOTENAME('Step'+CAST(tbl.StepID AS VARCHAR(100)))
FROM
tbl
FOR XML PATH('')
)
,1,1,'')
The executing the dynamic pivot:
DECLARE @query NVARCHAR(4000)=
'SELECT
*
FROM
(
SELECT
tbl.Comments,
tbl.Date,
tbl.ID,
tbl.Rating,
tbl.StaffID,
''Step''+CAST(tbl.StepID AS VARCHAR(100)) AS StepID
FROM
tbl
) AS sourceTable
PIVOT
(
MAX(Rating)
FOR StepID IN ('+@cols+')
) AS pvt
DROP TABLE tbl'
EXECUTE(@query)
And in my case dropping the table:
DROP TABLE tbl