showing rows of table as columns based on some ID - sql

I have a table like
ID option
1 optionA
1 optionB
1 optionC
1 optionD
And I want a result like:
ID A B C D
1 optionA optionB optionC optionD
What is the best way to do this?
Query which i have tried is
select * from TableName PIVOT (option for ID = 2674 )) as abc
this will not work since PIVOT expects aggregated function..
I have also tried COALESCE like this
declare #t table(num VARCHAR(100))
insert into #t
select choice FROM QuestionAnswers where QuestionID=2674
select num from #t
declare #s varchar(8000)
select #s = COALESCE(#s + ',', '') + num
from #t
exec('select '+#s)
but this doesn't work as well..

This type of data transformation is known as a pivot. In SQL Server 2005+ there is a function that will perform this data rotation for you. However, there are many ways that you can perform this data transformation.
Here is a PIVOT query that will work with your sample data:
select *
from
(
select id, [option], right([option], 1) col
from yourtable
) src
pivot
(
max([option])
for col in (a, b, c, d)
) piv
See SQL Fiddle with Demo.
This can also be performed using an aggregate function with a CASE expression:
select id,
max(case when col = 'a' then [option] else null end) a,
max(case when col = 'b' then [option] else null end) b,
max(case when col = 'c' then [option] else null end) c,
max(case when col = 'd' then [option] else null end) d
from
(
select id, [option], right([option], 1) col
from yourtable
) src
group by id
See SQL Fiddle with Demo.
You can perform multiple joins on your table:
select a.id,
a.[option] a,
b.[option] b,
c.[option] c,
d.[option] d
from yourtable a
left join yourtable b
on a.id = b.id
and right(b.[option], 1) = 'b'
left join yourtable c
on a.id = c.id
and right(c.[option], 1) = 'c'
left join yourtable d
on a.id = d.id
and right(d.[option], 1) = 'd'
where right(a.[option], 1) = 'a'
See SQL Fiddle with Demo
Lastly, this can be done using dynamic sql if the values to be turned into columns is unknown:
DECLARE #colsName AS NVARCHAR(MAX),
#cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #colsName = STUFF((SELECT distinct ', ' + QUOTENAME(right([option], 1)) +' as '+ right([option], 1)
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select #cols = STUFF((SELECT distinct ', ' + QUOTENAME(right([option], 1))
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT id, ' + #colsName + ' from
(
select id, [option], right([option], 1) col
from yourtable
) x
pivot
(
max([option])
for col in (' + #cols + ')
) p '
execute(#query)
See SQL Fiddle with Demo
The result of all queries is:
| ID | A | B | C | D |
----------------------------------------------
| 1 | optionA | optionB | optionC | optionD |

CREATE TABLE Product(Cust VARCHAR(25), Product VARCHAR(20), QTY INT)
GO
-- Inserting Data into Table
INSERT INTO Product(Cust, Product, QTY)
VALUES('KATE','VEG',2)
INSERT INTO Product(Cust, Product, QTY)
VALUES('KATE','SODA',6)
INSERT INTO Product(Cust, Product, QTY)
VALUES('KATE','MILK',1)
INSERT INTO Product(Cust, Product, QTY)
VALUES('KATE','BEER',12)
INSERT INTO Product(Cust, Product, QTY)
VALUES('FRED','MILK',3)
INSERT INTO Product(Cust, Product, QTY)
VALUES('FRED','BEER',24)
INSERT INTO Product(Cust, Product, QTY)
VALUES('KATE','VEG',3)
GO
-- Selecting and checking entires in table
SELECT *
FROM Product
GO
-- Pivot Table ordered by PRODUCT
SELECT PRODUCT, FRED, KATE
FROM (
SELECT CUST, PRODUCT, QTY
FROM Product) up
PIVOT (SUM(QTY) FOR CUST IN (FRED, KATE)) AS pvt
ORDER BY PRODUCT
GO
-- Pivot Table ordered by CUST
SELECT CUST, VEG, SODA, MILK, BEER, CHIPS
FROM (
SELECT CUST, PRODUCT, QTY
FROM Product) up
PIVOT (SUM(QTY) FOR PRODUCT IN (VEG, SODA, MILK, BEER, CHIPS)) AS pvt
ORDER BY CUST
GO
-- Unpivot Table ordered by CUST
SELECT CUST, PRODUCT, QTY
FROM
(
SELECT CUST, VEG, SODA, MILK, BEER, CHIPS
FROM (
SELECT CUST, PRODUCT, QTY
FROM Product) up
PIVOT
( SUM(QTY) FOR PRODUCT IN (VEG, SODA, MILK, BEER, CHIPS)) AS pvt) p
UNPIVOT
(QTY FOR PRODUCT IN (VEG, SODA, MILK, BEER, CHIPS)
) AS Unpvt
GO
-- Clean up database
DROP TABLE Product
GO
Ref http://blog.sqlauthority.com/2008/06/07/sql-server-pivot-and-unpivot-table-examples/
Edited
DECLARE #Product TABLE (ID int, _option varchar(10) )
-- Inserting Data into Table
INSERT INTO #Product
(
ID,
_option
)
SELECT 1, 'optionA' UNION ALL
SELECT 1, 'optionB' UNION ALL
SELECT 1, 'optionC' UNION ALL
SELECT 1, 'optionD'
SELECT
optionA, optionB, optionC, optionD
FROM (
SELECT ID, _option
FROM #Product) up
PIVOT (SUM(ID) FOR _option IN (optionA, optionB, optionC, optionD)) AS pvt

Related

Split/separate column into multiple columns

I'm completely stuck and I cannot find any answers for this problem even though problem seems to be quite simple. Can I separate that 'description' column without making a new table?
For now I just wrote this simplest code.
select item_id, description
from data
where item_id = '123'
With that code it looks like this:
item_id description
123 A
123 B
123 C
But I'd like to make it look like this:
item_id desc_1 desc_1 desc_2
123 A B C
Use conditional aggregation with the help of case expression
select item_id,
max(case when description= 'A' then description end) [desc_1],
max(case when description= 'B' then description end) [desc_2],
max(case when description= 'C' then description end) [desc_3],
from table
group by item_id
EDIT : So, the dynamic pivot way will look like as for SQL Server
declare #col varchar(max), #q varchar(max)
set #col = stuff(
(select distinct ','+quotename('desc_'+cast(row_number() over(partition by Item_id order by description) as varchar))
from table for xml path('')),
1,1,'')
set #q = 'select * from
(
select *,
''desc_''+cast(row_number() over(partition by Item_id order by description) as varchar) rn
from table
)a
PIVOT
(
max(description) for rn in ('+#col+')
)p'
EXEC (#Q)
Result :
item_id desc_1 desc_2 desc_3
123 A B C
234 B C d
first Declare Distinct column names
Like ABC, DEF,GHI
and values
then write dynamic pivot
DECLARE #COLS AS NVARCHAR(MAX)
DECLARE #query AS NVARCHAR(MAX)
SET #COLS=STUFF((select ',' + QUOTENAME(Course) from cst_coursedetails where programid=1 FOR XML PATH(''),TYPE).value('.','NVARCHAR(MAX)'),1,1,'')
SET #query =' SELECT * FROM(SELECT B.COLLCODE, B.COLLNAME,C.Course AS COURSE,D.ROLLNAME, E.ExamType, COUNT (A.HTNO) AS PRECOUNT FROM TableOne AS A
INNER JOIN TableTwo AS B ON A.COLLCODE=B.COLLCODE AND A.PROGRAMID=B.PROGRAMID
INNER JOIN TableThreee AS C ON C.CourseId=A.CourseId
INNER JOIN TableFour AS D ON D.ROLLID=A.ROLLID
INNER JOIN CST_EXAMTYPE AS E ON E.ExamTypeId=A.ExamTypeId
WHERE A.STATUSID !=17 AND a.ProgramId=1 AND A.ROLLID IN(1,2,3) AND A.EXAMTYPEID IN(1) GROUP BY B.COLLNAME,B.COLLCODE,C.Course,d.ROLLNAME ,E.ExamType
)SRC
PIVOT(
SUM(PRECOUNT) FOR COURSE IN('+#COLS+')
)AS PIV'
afs -- with clause name
giga -- alias name for listagg
with afs as
(
select item_id,LISTAGG(description, ',') WITHIN GROUP (ORDER BY item_id) AS
giga from test_jk group by item_id
)
select item_id,REGEXP_SUBSTR (giga, '[^,]+', 1, 1) AS
desc_1,REGEXP_SUBSTR (giga, '[^,]+', 1, 2) as desc_2 from afs;
output

how to transpose rows in SQL

I have a table named "TABLE1" Need output in below format. How can I use pivot in this case or any Inner joins to get output
You can use dynamic SQL with pivoting like below:
CREATE TABLE TABLE1 (
Code nvarchar(1),
Ind nvarchar(3),
Region nvarchar(10),
Amt decimal(17,7),
Currency nvarchar(3),
Aging nvarchar(6),
[Count] int
)
--create table with data you provided
INSERT INTO TABLE1 VALUES
('X','XYZ','Region1', 16882.96585, 'INR','0-30', 3),
('X','XYZ','Region2', 30831.0445, 'INR','31-60', 3),
('X','XYZ','Region3', 8759.319245, 'INR','61-90', 1),
('X','XYZ','Region4', 39070.18077, 'INR','91-180', 1)
DECLARE #sql nvarchar(max),
#col nvarchar(max)
--here we join all column names we need with aging values
SELECT #col = (
SELECT ','+QUOTENAME([name]+' ('+Aging+')')
FROM TABLE1 t
CROSS JOIN sys.columns c
WHERE [object_id] = OBJECT_ID(N'TABLE1') AND column_id > 2 AND [name] != 'Aging'
FOR XML PATH('')
)
--construction of dynamic query
SELECT #sql = N'
SELECT *
FROM (
SELECT Code,
Ind,
[Columns]+'' (''+Aging+'')'' as [Columns],
[Values]
FROM (
SELECT Code,
Ind,
CAST(Region as nvarchar(max)) Region,
CAST(Amt as nvarchar(max)) Amt,
CAST(Currency as nvarchar(max)) Currency,
CAST(Aging as nvarchar(max)) Aging,
CAST([Count] as nvarchar(max)) [Count],
ROW_NUMBER() OVER (PARTITION BY Code ORDER BY Aging) as RowNum
FROM TABLE1
) as t
UNPIVOT (
[Values] FOR [Columns] IN (Region, Amt, Currency, [Count])
) as unp
) as d
PIVOT (
MAX([Values]) FOR [Columns] IN ('+STUFF(#col,1,1,'')+')
) as pvt'
EXEC sp_executesql #sql
DROP TABLE TABLE1
Output:
Code Ind Region (0-30) Amt (0-30) Currency (0-30) Count (0-30) Region (31-60) Amt (31-60) Currency (31-60) Count (31-60) Region (61-90) Amt (61-90) Currency (61-90) Count (61-90) Region (91-180) Amt (91-180) Currency (91-180) Count (91-180)
X XYZ Region1 16882.9658500 INR 3 Region2 30831.0445000 INR 3 Region3 8759.3192450 INR 1 Region4 39070.1807700 INR 1
Hope this helps.
If the structure of the query won't vary, you can PRINT #sql and then use the query for your needs, without dynamic SQL.

Total sum wrong value in Dynamic Pivot

I have complicated query which works pretty good (MS SQL 2012). But it makes a mistake when sum up same price items. It count them correctly but only takes price once instead of taking them as a count number. It only appears when same item has same price and from same country. Here is my query ;
CREATE TABLE #ITEMS(ID INT,NAME VARCHAR(30))
INSERT INTO #ITEMS
SELECT 1, 'laptop'
UNION ALL
SELECT 2, 'phone'
UNION ALL
SELECT 3, 'playstation'
UNION ALL
SELECT 4, 'MacBook'
CREATE TABLE #Country(ID INT,NAME VARCHAR(30))
INSERT INTO #Country
SELECT 1, 'England'
UNION ALL
SELECT 2, 'Sweden'
UNION ALL
SELECT 3, 'Russia'
UNION ALL
SELECT 4, 'Italy'
CREATE TABLE [#Pre-Request](Id INT, countryId INT, ItemId INT)
INSERT INTO [#Pre-Request]
SELECT 1,1,3
UNION ALL
SELECT 2,2,1
UNION ALL
SELECT 3,2,2
UNION ALL
SELECT 4,3,3
UNION ALL
SELECT 5,3,3
UNION ALL
SELECT 6,2,3
CREATE TABLE #Offers(Id INT, PRICE VARCHAR(50))
INSERT INTO #Offers
SELECT 18,'257$'
UNION ALL
SELECT 19,'151$'
UNION ALL
SELECT 20,'424$'
UNION ALL
SELECT 21,'433$'
UNION ALL
SELECT 22,'151$'
CREATE TABLE #Request(Id INT, preReqId INT, requestStatus INT,winOfferId INT)
INSERT INTO #Request
SELECT 44, 1, 3, 18
UNION ALL
SELECT 11, 2, 4, 21
UNION ALL
SELECT 53, 3, 4, 20
UNION ALL
SELECT 87, 4, 3, 22
UNION ALL
SELECT 43, 5, 3, 19
UNION ALL
SELECT 43, 6, 2, Null
;WITH CTE AS
(
SELECT DISTINCT I.NAME ITEMNAME,C.NAME COUNTRYNAME
,CAST(REPLACE(TAB.PRICE,'$','')AS INT)PRICE
,COUNT(CASE WHEN TAB.PRICE IS NOT NULL THEN I.NAME END) OVER(PARTITION BY C.NAME,I.NAME) CNTITEM
FROM [#Pre-Request] PR
LEFT JOIN #Items I ON PR.ITEMID=I.ID
LEFT JOIN #COUNTRY C ON PR.COUNTRYID = C.ID
OUTER APPLY
(
SELECT R.preReqId,R.winOfferId,O.PRICE
FROM #Request R
JOIN #Offers O ON R.winOfferId=O.Id
WHERE PR.ID=R.preReqId
)TAB
UNION
-- Used to select Item name and country that are not in Pre-request table and other tables
SELECT I.NAME ,C.NAME ,NULL,0
FROM #Items I
CROSS JOIN #COUNTRY C
)
,CTE2 AS
(
-- Find the sum for number of items
SELECT DISTINCT ISNULL(ITEMNAME,'TOTAL')ITEMNAME,ISNULL(COUNTRYNAME,'TOTAL')COUNTRYNAME,
SUM(PRICE)PRICE
FROM CTE
GROUP BY ITEMNAME,COUNTRYNAME
WITH CUBE
)
,CTE3 AS
(
-- Find the sum of PRICE
SELECT DISTINCT ISNULL(ITEMNAME,'TOTAL')ITEMNAME,ISNULL(COUNTRYNAME,'TOTAL')COUNTRYNAME--,CNTITEM
,SUM(CNTITEM)CNTITEM
FROM
(
SELECT DISTINCT ITEMNAME,COUNTRYNAME,CNTITEM
FROM CTE
)TAB
GROUP BY ITEMNAME,COUNTRYNAME
WITH CUBE
)
SELECT C2.*,C3.CNTITEM,
CAST(C3.CNTITEM AS VARCHAR(20))+'x'+' ' + CAST(C2.PRICE AS VARCHAR(20))+'$' NEWCOL
INTO #NEWTABLE
FROM CTE2 C2
JOIN CTE3 C3 ON C2.COUNTRYNAME=C3.COUNTRYNAME AND C2.ITEMNAME=C3.ITEMNAME
DECLARE #cols NVARCHAR (MAX)
SELECT #cols = COALESCE (#cols + ',[' + ITEMNAME + ']', '[' + ITEMNAME + ']')
FROM (SELECT DISTINCT ITEMNAME FROM #NEWTABLE WHERE ITEMNAME<>'TOTAL') PV
ORDER BY ITEMNAME
-- Since we need Total in last column, we append it at last
SELECT #cols += ',[Total]'
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT COUNTRYNAME,' + #cols + ' FROM
(
SELECT DISTINCT ITEMNAME,COUNTRYNAME,ISNULL(NEWCOL,''0x 0$'')NEWCOL
FROM #NEWTABLE
) x
PIVOT
(
MIN(NEWCOL)
FOR ITEMNAME IN (' + #cols + ')
) p
ORDER BY CASE WHEN (COUNTRYNAME=''Total'') THEN 1 ELSE 0 END,COUNTRYNAME'
EXEC SP_EXECUTESQL #query
and here is result ;
As you can see there are 2 "playstation" from "Russia" it takes correct count (2x) but only take 1 price "151$" (normally it must be 302$). How can I fix this without making major changes from query? Thank you.
I think this does what you want. The problem is in your first CTE where you do the item count and get a distinct on the ItemName, CountryName, and Price.
Instead of getting a distinct, do a group by as shown below and SUM the price.
SELECT I.NAME ITEMNAME, C.NAME COUNTRYNAME
,SUM(CAST(REPLACE(TAB.PRICE,'$','')AS INT))PRICE
,COUNT(CASE WHEN TAB.PRICE IS NOT NULL THEN 1 ELSE NULL END) CNTITEM
FROM [#Pre-Request] PR
LEFT JOIN #Items I ON PR.ITEMID=I.ID
LEFT JOIN #COUNTRY C ON PR.COUNTRYID = C.ID
OUTER APPLY
(
SELECT R.preReqId,R.winOfferId,O.PRICE
FROM #Request R
JOIN #Offers O ON R.winOfferId=O.Id
WHERE PR.ID=R.preReqId
)TAB
GROUP BY
I.NAME
,C.NAME
EDIT:
Here are the results I get:
Here's all of your code starting from the CTEs:
;WITH CTE AS
(
SELECT I.NAME ITEMNAME, C.NAME COUNTRYNAME
,SUM(CAST(REPLACE(TAB.PRICE,'$','')AS INT))PRICE
,COUNT(CASE WHEN TAB.PRICE IS NOT NULL THEN 1 ELSE NULL END) CNTITEM
FROM [#Pre-Request] PR
LEFT JOIN #Items I ON PR.ITEMID=I.ID
LEFT JOIN #COUNTRY C ON PR.COUNTRYID = C.ID
OUTER APPLY
(
SELECT R.preReqId,R.winOfferId,O.PRICE
FROM #Request R
JOIN #Offers O ON R.winOfferId=O.Id
WHERE PR.ID=R.preReqId
)TAB
GROUP BY
I.NAME
,C.NAME
UNION
-- Used to select Item name and country that are not in Pre-request table and other tables
SELECT I.NAME ,C.NAME ,NULL,0
FROM #Items I
CROSS JOIN #COUNTRY C
)
,CTE2 AS
(
-- Find the sum for number of items
SELECT DISTINCT ISNULL(ITEMNAME,'TOTAL')ITEMNAME,ISNULL(COUNTRYNAME,'TOTAL')COUNTRYNAME,
SUM(PRICE)PRICE
FROM CTE
GROUP BY ITEMNAME,COUNTRYNAME
WITH CUBE
)
,CTE3 AS
(
-- Find the sum of PRICE
SELECT DISTINCT ISNULL(ITEMNAME,'TOTAL')ITEMNAME,ISNULL(COUNTRYNAME,'TOTAL')COUNTRYNAME--,CNTITEM
,SUM(CNTITEM)CNTITEM
FROM
(
SELECT DISTINCT ITEMNAME,COUNTRYNAME,CNTITEM
FROM CTE
)TAB
GROUP BY ITEMNAME,COUNTRYNAME
WITH CUBE
)
SELECT C2.*,C3.CNTITEM,
CAST(C3.CNTITEM AS VARCHAR(20))+'x'+' ' + CAST(C2.PRICE AS VARCHAR(20))+'$' NEWCOL
INTO #NEWTABLE
FROM CTE2 C2
JOIN CTE3 C3 ON C2.COUNTRYNAME=C3.COUNTRYNAME AND C2.ITEMNAME=C3.ITEMNAME
DECLARE #cols NVARCHAR (MAX)
SELECT #cols = COALESCE (#cols + ',[' + ITEMNAME + ']', '[' + ITEMNAME + ']')
FROM (SELECT DISTINCT ITEMNAME FROM #NEWTABLE WHERE ITEMNAME<>'TOTAL') PV
ORDER BY ITEMNAME
-- Since we need Total in last column, we append it at last
SELECT #cols += ',[Total]'
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT COUNTRYNAME,' + #cols + ' FROM
(
SELECT DISTINCT ITEMNAME,COUNTRYNAME,ISNULL(NEWCOL,''0x 0$'')NEWCOL
FROM #NEWTABLE
) x
PIVOT
(
MIN(NEWCOL)
FOR ITEMNAME IN (' + #cols + ')
) p
ORDER BY CASE WHEN (COUNTRYNAME=''Total'') THEN 1 ELSE 0 END,COUNTRYNAME'
EXEC SP_EXECUTESQL #query

converting rows to columns dynamicaly based on conditions

In the below image I have current data and expected data based on the first three columns the data need to get transpose
Table query:
drop table ##Test
CREATE TABLE ##Test
(paymentid varchar(30),
claimid bigint,
Lineno1 int,
groupcode varchar(2),
Carc int,
adjustmentamt float,
RARC varchar(30),
Edit1 varchar(30),
Remit varchar(30),
)
INSERT INTO ##Test
(paymentid ,
claimid ,
Lineno1 ,
groupcode ,
Carc ,
adjustmentamt ,
RARC ,
Edit1 ,
Remit )
VALUES
('QP18502291',14205893514,2,'CO',84,75.55,'N20','','D18')
('QP15930339',14127612308,1,'OA',23,263,'','ClaimDetail.COBAmt','') ,
('QP15930339',14127612308,1,'OA',23,21.69,'','ClaimDetail.COBAmt',''),
('QP18502291',14205893514,2,'OA',23,78.77,'','ClaimDetail.COBAmt',''),
('QP18502291',14205893514,2,'OA',97,66.55,'N20','','D18')
select * from ##Test
Possible duplicate post and take a look at the solution.
See SQL Fiddle with Demo.
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(col+cast(rn as varchar(10)))
from
(
select row_number() over(partition by paymentid order by Lineno1) rn
from ##Test
) d
cross apply
(
select 'groupcode', 1 union all
select 'carc', 2 union all
select 'adjustmentamt', 3 UNION ALL
SELECT 'rarc',4 UNION ALL
SELECT 'Edit1' ,5 UNION ALL
SELECT 'remit',6
) c (col, so)
group by col, rn, so
order by rn, so
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT paymentid, claimid,Lineno1,' + #cols + '
from
(
select paymentid, claimid,Lineno1, col+cast(rn as varchar(10)) col, value
from
(
select paymentid, claimid,Lineno1, groupcode, carc, adjustmentamt,rarc,Edit1,remit,
row_number() over(partition by paymentid order by Lineno1) rn
from ##Test
) t
cross apply
(
select ''groupcode'', groupcode union all
select ''carc'', cast(carc as varchar(50)) union all
select ''adjustmentamt'', cast(adjustmentamt as varchar(50)) union all
select ''rarc'', rarc union all
select ''Edit1'' , Edit1 union all
select ''remit'' , remit
) c (col, value)
) x pivot
(
max(value)
for col in (' + #cols + ')
) p '
execute(#query)

query to combine multiple columns in one columns

I have table which contain the following information.
I want to run a query and show only one line. something like this
I try to use a case statement, However i maybe have other employee who work in different state, and i do not want to list 50 state since most of employee may only work 2-3 state, but in different state. Any help will appreciate. Thanks
Since you want to pivot on multiple columns, my suggestion would be to first look at unpivoting the State, StateWages and StateTax columns then apply the PIVOT function.
You didn't specify what version of SQL Server you are using but you can use either UNPIVOT to CROSS APPLY to convert these multiple columns into rows. The syntax will be similar to:
select PRCo, Employee,
col = c.col + cast(seq as varchar(50)),
c.value
from
(
select PRCo, Employee, State, StateWages, StateTax,
row_number() over(partition by PRCo, Employee
order by state) seq
from yourtable
) d
cross apply
(
select 'State', State union all
select 'StateWages', cast(StateWages as varchar(10)) union all
select 'StateTax', cast(StateTax as varchar(10))
) c (col, value);
See SQL Fiddle with Demo. You'll notice that before I implemented the CROSS APPLY, I used a subquery with row_number() to create a unique value for each row per employee. The reason for doing this is so you can return the multiple state columns, etc. Once you have done this you can use PIVOT:
select PRCo, Employee,
State1, StateWages1, StateTax1,
State2, StateWages2, StateTax2
from
(
select PRCo, Employee,
col = c.col + cast(seq as varchar(50)),
c.value
from
(
select PRCo, Employee, State, StateWages, StateTax,
row_number() over(partition by PRCo, Employee
order by state) seq
from yourtable
) d
cross apply
(
select 'State', State union all
select 'StateWages', cast(StateWages as varchar(10)) union all
select 'StateTax', cast(StateTax as varchar(10))
) c (col, value)
) src
pivot
(
max(value)
for col in (State1, StateWages1, StateTax1,
State2, StateWages2, StateTax2)
) p;
See SQL Fiddle with Demo. The above version works great if you have a limited number of value but it sounds like you need a dynamic solution. Using the code above you can easily convert it to dynamic SQL:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(col+cast(seq as varchar(10)))
from
(
select row_number()
over(partition by PRCo, Employee
order by state) seq
from yourtable
) d
cross apply
(
select 'State', 1 union all
select 'StateWages', 2 union all
select 'StateTax', 3
) c (col, so)
group by col, so, seq
order by seq, so
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = N'SELECT PRCo, Employee, ' + #cols + N'
from
(
select PRCo, Employee,
col = c.col + cast(seq as varchar(50)),
c.value
from
(
select PRCo, Employee, State, StateWages, StateTax,
row_number() over(partition by PRCo, Employee
order by state) seq
from yourtable
) d
cross apply
(
select ''State'', State union all
select ''StateWages'', cast(StateWages as varchar(10)) union all
select ''StateTax'', cast(StateTax as varchar(10))
) c (col, value)
) x
pivot
(
max(value)
for col in (' + #cols + N')
) p '
exec sp_executesql #query;
See SQL Fiddle with Demo. Both versions will give a result:
| PRCO | EMPLOYEE | STATE1 | STATEWAGES1 | STATETAX1 | STATE2 | STATEWAGES2 | STATETAX2 |
|------|----------|--------|-------------|-----------|--------|-------------|-----------|
| 1 | 304 | CA | 20162.03 | 804.42 | IN | 20162.03 | 665.90 |