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I'm having a problem with query in Microsoft SQL environment. I'm getting serial numbers which I want to transform from rows to columns due to customer's template. Limitation for me is customer's template - max number of columns could be 10. I don't know how to reach my vision where each 11-20, 21-30, etc. columns will be in new row. See example with 13 rows from database:
What I'm able to do:
Product01
Product02
Product03
Product04
Product05
Product06
Product07
Product08
Product09
Product10
Product11
Product12
Product13
BK018001B6
BK018001B7
BK018001B8
BK018001B9
BK018001BB
BK018001BC
BK018001BD
BK018001BF
BK018001BG
BK018001BH
BK018001BJ
BK018001BK
BK018001BL
What I want to do:
Product01
Product02
Product03
Product04
Product05
Product06
Product07
Product08
Product09
Product10
BK018001B6
BK018001B7
BK018001B8
BK018001B9
BK018001BB
BK018001BC
BK018001BD
BK018001BF
BK018001BG
BK018001BH
BK018001BJ
BK018001BK
BK018001BL
I have found following working playground for Microsoft SQL: https://sqlzoo.net/. Unfortunately there is no way to provide you working playground as a link. You need to copy my SQL code to reproduce that:
CREATE TABLE #sourceTable(SerialNo VARCHAR(20), ProductRowNumber VARCHAR(10))
INSERT INTO #sourceTable
(
SerialNo,
ProductRowNumber
)
VALUES
('BK018001B6', 'Product01'),
('BK018001B7', 'Product02'),
('BK018001B8', 'Product03'),
('BK018001B9', 'Product04'),
('BK018001BB', 'Product05'),
('BK018001BC', 'Product06'),
('BK018001BD', 'Product07'),
('BK018001BF', 'Product08'),
('BK018001BG', 'Product09'),
('BK018001BH', 'Product10'),
('BK018001BJ', 'Product11'),
('BK018001BK', 'Product12'),
('BK018001BL', 'Product13')
CREATE TABLE #productsTempTable (ProductSerialNo VARCHAR(20), ProductRowNumber VARCHAR(10))
INSERT INTO #productsTempTable
SELECT SerialNo, ProductRowNumber FROM #sourceTable
DECLARE #cols AS NVARCHAR(MAX), #query AS NVARCHAR(MAX)
SELECT #cols = STUFF(
(SELECT ',' + QUOTENAME(ProductRowNumber)
FROM #productsTempTable
GROUP BY ProductRowNumber
ORDER BY ProductRowNumber
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '')
SET #query = N'SELECT ' + #cols + N' FROM
(
SELECT ProductSerialNo, ProductRowNumber
FROM #productsTempTable
) x
PIVOT
(
MAX(ProductSerialNo)
FOR ProductRowNumber IN (' + #cols + N')
) p'
EXEC sp_executesql #query;
DROP table #productsTempTable, #sourceTable
In real the column "ProductRowNumber" I'm composing this way for completeness:
'Product' + RIGHT(100 + CONVERT(VARCHAR(10), ROW_NUMBER() OVER(ORDER BY p.id)), 2) AS 'ProductRowNumber'
Could you help me with this issue please?
Thank you.
This pivot does not need to be dynamic. We just need to do a bit of arithmetic with row number:
SELECT
Product01, Product02, Product03, Product04, Product05, Product06, Product07, Product08, Product09, Product10
FROM (
SELECT
SerialNo,
rn10 = (ROW_NUMBER() OVER (ORDER BY ProductRowNumber) - 1) / 10,
ProductRN = CONCAT(
'Product',
FORMAT((ROW_NUMBER() OVER (ORDER BY ProductRowNumber) - 1) % 10 + 1, '00'))
FROM #sourceTable st
) st
PIVOT (
MAX(SerialNo) FOR ProductRN IN
(Product01, Product02, Product03, Product04, Product05, Product06, Product07, Product08, Product09, Product10)
) pvt;
db<>fiddle
In your real query, you can replace the ROW_NUMBER with your existing row-numbering.
I think the conditional aggregate approach is pretty simple:
select max(case when seqnum % 10 = 1 then serialno end) as prod_1,
max(case when seqnum % 10 = 2 then serialno end) as prod_2,
max(case when seqnum % 10 = 3 then serialno end) as prod_3,
max(case when seqnum % 10 = 4 then serialno end) as prod_4,
max(case when seqnum % 10 = 5 then serialno end) as prod_5,
max(case when seqnum % 10 = 6 then serialno end) as prod_6,
max(case when seqnum % 10 = 7 then serialno end) as prod_7,
max(case when seqnum % 10 = 8 then serialno end) as prod_8,
max(case when seqnum % 10 = 9 then serialno end) as prod_9,
max(case when seqnum % 10 = 10 then serialno end) as prod_10
from (select t.*, row_number() over (order by ProductRowNumber) as seqnum
from sourceTable t
) t
group by ceiling(seqnum / 10.0)
order by min(seqnum);
Here is a db<>fiddle.
Can somebody help me with SQL using pivot?
I asked before this using numbers but not now im using it in a string format
For example I have a list of Names shown below with 1 column:
and I want the result to become this. the will limit 10 column only
use row_number() to generate a running sequence, and then, use modulus % to get the column and divide by 10 to get the row. Use PIVOT() to get the required result
select *
from
(
select [Names],
[row] = row_number() over (order by [Names]) / 10 + 1,
[col] = (row_number() over (order by [Names]) - 1) % 10 + 1
from yourtable
) d
pivot
(
max([Names])
for col in ([1], [2],[3],[4],[5],[6],[7],[8],[9],[10])
) p
I would just use conditional aggregation:
select max(case when seqnum % 10 = 0 then name end) as name_0,
max(case when seqnum % 10 = 1 then name end) as name_1,
max(case when seqnum % 10 = 2 then name end) as name_2,
max(case when seqnum % 10 = 3 then name end) as name_3,
max(case when seqnum % 10 = 4 then name end) as name_4,
max(case when seqnum % 10 = 5 then name end) as name_5,
max(case when seqnum % 10 = 6 then name end) as name_6,
max(case when seqnum % 10 = 7 then name end) as name_7,
max(case when seqnum % 10 = 8 then name end) as name_8,
max(case when seqnum % 10 = 9 then name end) as name_9
from (select t.*,
row_number() over (order by (select null)) - 1 as seqnum
from t
) t
group by floor(seqnum / 10);
Note: The ordering of the names in the result set is not guaranteed. Each name will appear in one position. If the ordering matters, then you need an additional column that specifies the ordering (and you can use that in the group by.
This code solves your question using dynamic pivot and without sorting the data with select null
declare #groups varchar(max) set #groups = (select count(0)/2 from Mytable )
declare #columns varchar(max) set #columns = ''
select #columns = coalesce(#columns + '[' + cast(col as varchar(MAX)) + '],', '')
FROM (
select col from (
select (row_number() over (order by (SELECT NULL)) - 1) % (#groups) + 1 as col
from Mytable group by Names
) t
group by col
) m
set #columns = left(#columns,LEN(#columns)-1)
DECLARE #SQLString nvarchar(max);
set #SQLString = '
select * from
(
select Names, row/'+#groups+' +1 as row , col from (
select [Names],
[row] = row_number() over (order by (SELECT NULL))+1 / '+#groups+' -1,
[col] = (row_number() over (order by (SELECT NULL)) - 1) % '+#groups+' + 1
from Mytable
) x
) m
PIVOT
( MAX(Names)
FOR col in (' + #columns + ')
) AS PVT'
EXECUTE sp_executesql #SQLString
I have table structure like
select catalog_item_id,metal_type,metal_color
from catalog_item_castings
where catalog_Item_Id =465173
It returns output as:
And I want output as:
And I want to insert this data into new temp table in SQL Server.
Thanks in advance.
Conditional aggregation is an option:
SELECT
catalog_item_id,
MAX(CASE WHEN rn % 3 = 1 THEN CONCAT(metal_type, '/', metal_color) END) AS Casting_1,
MAX(CASE WHEN rn % 3 = 2 THEN CONCAT(metal_type, '/', metal_color) END) AS Casting_2,
MAX(CASE WHEN rn % 3 = 0 THEN CONCAT(metal_type, '/', metal_color) END) AS Casting_3
FROM (
SELECT
catalog_item_id, metal_type, metal_color, ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS rn
FROM (VALUES
(465173, 'na', 'METALCOLOR'),
(465173, 'na', 'METAL-001'),
(465173, 'na', 'na')
) catalog_item_castings (catalog_item_id, metal_type, metal_color)
WHERE catalog_Item_Id = 465173
) t
GROUP BY catalog_item_id
-- or if you have more than three rows per [catalog_item_id]
-- GROUP BY catalog_item_id, (rn - 1) / 3
Result:
catalog_item_id Casting_1 Casting_2 Casting_3
-------------------------------------------------
465173 na/METALCOLOR na/METAL-001 na/na
You can use Conditional Aggregation within a Dynamic Pivot Statement in order to include all distinct combinations of the columns [metal_type] and [metal_color], even different values for combinations are inserted in the future :
DECLARE #cols AS NVARCHAR(MAX), #query AS NVARCHAR(MAX)
SELECT #cols = (SELECT STRING_AGG(CONCAT('MAX(CASE WHEN [dr]=',dr,
' THEN CONCAT([metal_type],''/'',[metal_color]) END) AS [Casting_',dr,']'),',')
WITHIN GROUP ( ORDER BY dr )
FROM
(
SELECT DISTINCT
DENSE_RANK() OVER
(PARTITION BY [catalog_item_id]
ORDER BY CONCAT([metal_type],[metal_color])) AS dr
FROM [catalog_item_castings] ) c);
SET #query =
'SELECT [catalog_item_id],'+ #cols +
' FROM
(
SELECT *, DENSE_RANK() OVER
( PARTITION BY [catalog_item_id]
ORDER BY CONCAT([metal_type], [metal_color]) ) AS dr
FROM [catalog_item_castings]
) c
GROUP BY [catalog_item_id]';
EXEC sp_executesql #query;
Demo
I have a table where every ID has one or more places, and each place comes with a count. Places can be repeated within IDs. It is stored in rows like so:
ID ColumnName DataValue
1 place1 ABC
1 count1 5
2 place1 BEC
2 count1 12
2 place2 CDE
2 count2 6
2 place3 BEC
2 count3 9
3 place1 BBC
3 count1 5
3 place2 BBC
3 count2 4
Ultimately, I want a table where every possible place name is its own column, and the count per place per ID is summed up, like so:
ID ABC BEC CDE BBC
1 5 0 0 0
2 0 21 6 0
3 0 0 0 9
I don't know the best way to go about this. There are around 50 different possible place names, so specifically listing them out in a query isn't ideal. I know I ultimately have to pivot the data, but I don't know if I should do it before or after I sum up the counts. And whether it's before or after, I haven't been able to figure out how to go about summing it up.
Any ideas/help would be greatly appreciated. At this point, I'm having a hard time finding where to even start. I've seen a few posts with similar problems, but nothing quite as convoluted as this.
EDIT:
Right now I'm working with this to pivot the table, but this leaves me with columns named place1, place2, .... count1, count2,...
and I don't know how to appropriately sum up the counts and make new columns with the place names.
DECLARE #cols NVARCHAR(MAX), #query NVARCHAR(MAX);
SET #cols = STUFF(
(
SELECT DISTINCT
','+QUOTENAME(c.[ColumnName])
FROM #temp c FOR XML PATH(''), TYPE
).value('.', 'nvarchar(max)'), 1, 1, '');
SET #query = 'SELECT [ID], '+#cols+'from (SELECT [ID],
[DataValue] AS [amount],
[ColumnName] AS [category]
FROM #temp
)x pivot (max(amount) for category in ('+#cols+')) p';
EXECUTE (#query);
Your table structure is pretty bad. You'll need to normalize your data before you can attempt to pivot it. Try this:
;WITH IDs AS
(
SELECT DISTINCT
id
,ColId = RIGHT(ColumnName, LEN(ColumnName) - 5)
,Place = datavalue
FROM #temp
WHERE ISNUMERIC(datavalue) = 0
)
,Counts AS
(
SELECT DISTINCT
id
,ColId = RIGHT(ColumnName, LEN(ColumnName) - 5)
,Cnt = CAST(datavalue AS INT)
FROM #temp
WHERE ISNUMERIC(datavalue) = 1
)
SELECT
piv.id
,ABC = ISNULL(piv.ABC, 0)
,BEC = ISNULL(piv.BEC, 0)
,CDE = ISNULL(piv.CDE, 0)
,BBC = ISNULL(piv.BBC, 0)
FROM (SELECT i.id, i.Place, c.Cnt FROM IDs i JOIN Counts c ON c.id = i.id AND c.ColId = i.ColId) src
PIVOT ( SUM(Cnt)
FOR Place IN ([ABC], [BEC], [CDE], [BBC])
) piv;
Doing it with dynamic SQL would yield the following:
SET #query =
';WITH IDs AS
(
SELECT DISTINCT
id
,ColId = RIGHT(ColumnName, LEN(ColumnName) - 5)
,Place = datavalue
FROM #temp
WHERE ISNUMERIC(datavalue) = 0
)
,Counts AS
(
SELECT DISTINCT
id
,ColId = RIGHT(ColumnName, LEN(ColumnName) - 5)
,Cnt = CAST(datavalue AS INT)
FROM #temp
WHERE ISNUMERIC(datavalue) = 1
)
SELECT [ID], '+#cols+'
FROM
(
SELECT i.id, i.Place, c.Cnt
FROM IDs i
JOIN Counts c ON c.id = i.id AND c.ColId = i.ColId
) src
PIVOT
(SUM(Cnt) FOR Place IN ('+#cols+')) piv;';
EXECUTE (#query);
Try this out:
SELECT id,
COALESCE(ABC, 0) AS ABC,
COALESCE(BBC, 0) AS BBC,
COALESCE(BEC, 0) AS BEC,
COALESCE(CDE, 0) AS CDE
FROM
(SELECT id,
MIN(CASE WHEN columnname LIKE 'place%' THEN datavalue END) AS col,
CAST(MIN(CASE WHEN columnname LIKE 'count%' THEN datavalue END) AS INT) AS val
FROM t
GROUP BY id, RIGHT(columnname, 1)
) src
PIVOT
(SUM(val)
FOR col in ([ABC], [BBC], [BEC], [CDE])) pvt
Tested here: http://rextester.com/XUTJ68690
In the src query, you need to re-format your data, so that you have a unique id and place in each row. From there a pivot will work.
If the count is always immediately after the place, the following query will generate a data set for pivoting.
The result data set before pivoting has the following columns:
id, placename, count
select placeTable.id, placeTable.datavalue, countTable.datavalue
from
(select *, row_number() over (order by id, %%physloc%%) as rownum
from test
where isnumeric(datavalue) = 1
) as countTable
join
(select *, row_number() over (order by id, %%physloc%%) as rownum
from test
where isnumeric(datavalue) <> 1
) as placeTable
on countTable.id = placeTable.id and
countTable.rownum = placeTable.rownum
Tested on sqlfidde mssqlserver: http://sqlfiddle.com/#!6/701c91/18
Here is one other approach using PIVOT operator with dynamic style
declare #Col varchar(2000) = '',
#Query varchar(2000) = ''
set #Col = stuff(
(select ','+QUOTENAME(DataValue)
from table where isnumeric(DataValue) = 0
group by DataValue for xml path('')),1,1,'')
set #Query = 'select id, '+#Col+' from
(
select id, DataValue,
cast((case when isnumeric(DataValue) = 1 then DataValue else lead(DataValue) over (order by id) end) as int) Value
from table
) as a
PIVOT
(
sum(Value) for DataValue in ('+#Col+')
)pvt'
EXECUTE (#Query)
Note : I have used lead() function to access next rows data if i found character string values and replace with numeric data values
Result :
id ABC BBC BEC CDE
1 5 NULL NULL NULL
2 NULL NULL 21 6
3 NULL 9 NULL NULL
I'm sure I'm missing something here.
I have a dataset like this:
FK RowNumber Value Type Status
1 1 aaaaa A New
1 2 bbbbb B Good
1 3 ccccc A Bad
1 4 ddddd C Good
1 5 eeeee B Good
2 1 fffff C Bad
2 2 ggggg A New
2 3 hhhhh C Bad
3 1 iiiii A Good
3 2 jjjjj A Good
I'd like to query the top 3 results and Pivot them as columns, so the end result set looks like this:
FK Value1 Type1 Status1 Value2 Type2 Status2 Value3 Type3 Status3
1 aaaaa A New bbbbb B Good ccccc A Bad
2 fffff C Bad ggggg A New hhhhh C Bad
3 iiiii A Good jjjjj A Good
How can I accomplish this in SQL Server 2005?
I have been attempting this using PIVOT, but I am still very unfamiliar with that keyword and cannot get it to work the way I want.
SELECT * --Id, [1], [2], [3]
FROM
(
SELECT Id, Value, Type, Status
, ROW_NUMBER() OVER (PARTITION BY Id ORDER Status, Type) as [RowNumber]
FROM MyTable
) as T
PIVOT
(
-- I know this section doesn't work. I'm still trying to figure out PIVOT
MAX(T.Value) FOR RowNumber IN ([1], [2], [3]),
MAX(T.Type) FOR RowNumber IN ([1], [2], [3]),
MAX(T.Status) FOR RowNumber IN ([1], [2], [3])
) AS PivotTable;
My actual data set is a bit more complex than this, and I need the top 10 records, not the top 3, so I don't want to simply do CASE WHEN RowNumber = X THEN... for each one.
Update
I tested all the answers below, and found most of them seem about the same with no apparent performance difference in smaller data sets (around 3k records), however there was a slight difference when running the queries against larger data sets.
Here are the results of my tests using 80,000 records and querying for 5 columns in the top 10 rows, so my end result set was 50 columns + the Id column. I'd suggest you test them on your own to decide which one works best for you and your environment.
bluefoot's answer of unpivoting and re-pivoting the data averaged the fastest at about 12 seconds. I also liked this answer because I found it easiest to read and maintain.
Aaron's answer and koderoid's answer both suggest using a MAX(CASE WHEN RowNumber = X THEN ...), and was close behind averaging at around 13 seconds.
Rodney's answer of using multiple PIVOT statements averaged around 16 seconds, although it might be faster with fewer PIVOT statements (my tests had 5).
And the first half of Aaron's answer that suggested using a CTE and OUTER APPLY was the slowest. I don't know how long it would take to run because I cancelled it after 2 minutes, and that was with around 3k records, 3 rows, and 3 columns instead of 80k records, 10 rows, and 5 columns.
You can do an UNPIVOT and then a PIVOT of the data. this can be done either statically or dynamically:
Static Version:
select *
from
(
select fk, col + cast(rownumber as varchar(1)) new_col,
val
from
(
select fk, rownumber, value, cast(type as varchar(10)) type,
status
from yourtable
) x
unpivot
(
val
for col in (value, type, status)
) u
) x1
pivot
(
max(val)
for new_col in
([value1], [type1], [status1],
[value2], [type2], [status2],
[value3], [type3])
) p
see SQL Fiddle with demo
Dynamic Version, this will get the list of columns to unpivot and then to pivot at run-time:
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 not in ('fk', 'rownumber')
for xml path('')), 1, 1, '')
select #colsPivot = STUFF((SELECT ','
+ quotename(c.name
+ cast(t.rownumber as varchar(10)))
from yourtable t
cross apply
sys.columns as C
where C.object_id = object_id('yourtable') and
C.name not in ('fk', 'rownumber')
group by c.name, t.rownumber
order by t.rownumber
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select *
from
(
select fk, col + cast(rownumber as varchar(10)) new_col,
val
from
(
select fk, rownumber, value, cast(type as varchar(10)) type,
status
from yourtable
) x
unpivot
(
val
for col in ('+ #colsunpivot +')
) u
) x1
pivot
(
max(val)
for new_col in
('+ #colspivot +')
) p'
exec(#query)
see SQL Fiddle with Demo
Both will generate the same results, however the dynamic is great if you do not know the number of columns ahead of time.
The Dynamic version is working under the assumption that the rownumber is already a part of the dataset.
You can try to do the pivot in three separate pivot statements. Please give this a try:
SELECT Id
,MAX(S1) [Status 1]
,MAX(T1) [Type1]
,MAX(V1) [Value1]
--, Add other columns
FROM
(
SELECT Id, Value , Type, Status
, 'S' + CAST(ROW_NUMBER() OVER (PARTITION BY Id ORDER BY Status, Type) AS VARCHAR(10)) [Status_RowNumber]
, 'T' + CAST(ROW_NUMBER() OVER (PARTITION BY Id ORDER BY Status, Type) AS VARCHAR(10)) [Type_RowNumber]
, 'V' + CAST(ROW_NUMBER() OVER (PARTITION BY Id ORDER BY Status, Type) AS VARCHAR(10)) [Value_RowNumber]
FROM MyTable
) as T
PIVOT
(
MAX(Status) FOR Status_RowNumber IN ([S1], [S2], [S3],[S4],[S5],[S6],[S7],[S8],[S9],[S10])
)AS StatusPivot
PIVOT(
MAX(Type) FOR Type_RowNumber IN ([T1], [T2], [T3],[T4],[T5],[T6],[T7],[T8],[T9],[T10])
)AS Type_Pivot
PIVOT(
MAX(Value) FOR Value_RowNumber IN ([V1], [V2], [V3],[V4],[V5],[V6],[V7],[V8],[V9],[V10])
)AS Value_Pivot
GROUP BY Id
I don't know the full scope of the criteria for selecting the top ten records, but this produces and output that may get you closer to your answer.
SQL Fiddle Example
Rodney's muli-pivot is clever, that's for sure. Here are two other alternatives that are of course less appealing when you get into the 10X vs. 3X area.
;WITH a AS
(
SELECT Id, Value, Type, Status,
n = ROW_NUMBER() OVER (PARTITION BY Id ORDER BY [Status], [Type])
FROM dbo.MyTable
)
SELECT a.Id,
Value1 = a.Value, Type1 = a.[Type], Status1 = a.[Status],
Value2 = b.Value, Type2 = b.[Type], Status2 = b.[Status],
Value3 = c.Value, Type3 = c.[Type], Status3 = c.[Status]
FROM a
OUTER APPLY (SELECT * FROM a AS T2 WHERE n = a.n + 1 AND id = a.id) AS b
OUTER APPLY (SELECT * FROM a AS T2 WHERE n = b.n + 1 AND id = b.id) AS c
WHERE a.n = 1
ORDER BY a.Id;
-- or --
;WITH a AS
(
SELECT Id, Value, [Type], [Status],
n = ROW_NUMBER() OVER (PARTITION BY Id ORDER BY [Status], [Type])
FROM dbo.MyTable
)
SELECT Id,
Value1 = MAX(CASE WHEN n = 1 THEN Value END),
Type1 = MAX(CASE WHEN n = 1 THEN [Type] END),
Status1 = MAX(CASE WHEN n = 1 THEN [Status] END),
Value2 = MAX(CASE WHEN n = 2 THEN Value END),
Type2 = MAX(CASE WHEN n = 2 THEN [Type] END),
Status2 = MAX(CASE WHEN n = 2 THEN [Status] END),
Value3 = MAX(CASE WHEN n = 3 THEN Value END),
Type3 = MAX(CASE WHEN n = 3 THEN [Type] END),
Status3 = MAX(CASE WHEN n = 3 THEN [Status] END)
FROM a
GROUP BY Id
ORDER BY a.Id;
This might work for you, though it's not elegant.
select aa.FK_Id
, isnull(max(aa.Value1), '') as Value1
, isnull(max(aa.Type1), '') as Type1
, isnull(max(aa.Status1), '') as Status1
, isnull(max(aa.Value2), '') as Value2
, isnull(max(aa.Type2), '') as Type2
, isnull(max(aa.Status2), '') as Status2
, isnull(max(aa.Value3), '') as Value3
, isnull(max(aa.Type3), '') as Type3
, isnull(max(aa.Status3), '') as Status3
from
(
select FK_Id
, case when RowNumber = 1 then Value else null end as Value1
, case when RowNumber = 1 then [Type] else null end as Type1
, case when RowNumber = 1 then [Status] else null end as Status1
, case when RowNumber = 2 then Value else null end as Value2
, case when RowNumber = 2 then [Type] else null end as Type2
, case when RowNumber = 2 then [Status] else null end as Status2
, case when RowNumber = 3 then Value else null end as Value3
, case when RowNumber = 3 then [Type] else null end as Type3
, case when RowNumber = 3 then [Status] else null end as Status3
from Table1
) aa
group by aa.FK_Id
try something like this:
declare #rowCount int
set #rowCount = 10
declare #isNullClause varchar(4024)
set #isnullClause = ''
declare #caseClause varchar(4024)
set #caseClause = ''
declare #i int
set #i = 1
while(#i <= #rowCount) begin
set #isnullClause = #isNullClause +
' , max(aa.Value' + CAST(#i as varchar(3)) + ') as Value' + CAST(#i as varchar(3)) +
' , max(aa.Type' + CAST(#i as varchar(3)) + ') as Type' + CAST(#i as varchar(3)) +
' , max(aa.Status' + CAST(#i as varchar(3)) + ') as Status' + CAST(#i as varchar(3)) + ' ';
set #caseClause = #caseClause +
' , case when RowNumber = ' + CAST(#i as varchar(3)) + ' then Value else null end as Value' + CAST(#i as varchar(3)) +
' , case when RowNumber = ' + CAST(#i as varchar(3)) + ' then Type else null end as Type' + CAST(#i as varchar(3)) +
' , case when RowNumber = ' + CAST(#i as varchar(3)) + ' then Status else null end as Status' + CAST(#i as varchar(3)) + ' '
set #i = #i + 1;
end
declare #sql nvarchar(4000)
set #sql = 'select aa.FK_Id ' + #isnullClause + ' from ( select FK_Id '
+ #caseClause + ' from Table1) aa group by aa.FK_Id '
exec SP_EXECUTESQL #sql