T-SQL Pivot - Total Row and Dynamic Columns - sql

Let's jump straight into it. Here's the code
SELECT [prov], [201304], [201305], [201306], [201307]
FROM (
SELECT [prov], [arrival], [Amount]
FROM [tblSource]) up
PIVOT (SUM([Amount]) FOR [arrival] IN ([201304], [201305], [201306], [201307])) AS pvt
GO
It brings me back an ever so lovely table. I was wondering how I would get the totals for each "date" column to show in an appended last row?
In addition, the underlying table will have more data added, specifically more dates. This means that 201308 will be added next, then 201309 etc
This will mean that currently I will have to amend the code above each month to reflect the addition. Is there anyway around this?

You can dynamically create the columns using dynamic SQL, however, I would really recommend handling dynamic pivots in a layer designed for it, such as SSRS or excel.
DECLARE #SQL NVARCHAR(MAX) = '',
#SQL2 NVARCHAR(MAX) = '',
#SQL3 NVARCHAR(MAX) = '';
-- COMPILE THE UNIQUE VALUES FOR ARRIVAL THAT NEED TO BE PIVOTED
SELECT #SQL = #SQL + ',' + QUOTENAME(Arrival),
#SQL2 = #SQL2 + '+ISNULL(' + QUOTENAME(Arrival) + ', 0)',
#SQL3 = #SQL3 + ',' + QUOTENAME(Arrival) + ' = ISNULL(' + QUOTENAME(Arrival) + ', 0)'
FROM (SELECT DISTINCT Arrival FROM tblSource) s;
-- COMBINE THEM INTO A SINGLE QUERY
SET #SQL = 'SELECT [Prov]' + #SQL3 + ', [Total] = ' + STUFF(#SQL2, 1, 1, '') + '
FROM ( SELECT Arrival, Prov, Amount
FROM [tblSource]
UNION ALL
SELECT Arrival, ''Total'', SUM(Amount)
FROM [tblSource]
GROUP BY Arrival
) up
PIVOT
( SUM(Amount)
FOR Arrival IN (' + STUFF(#SQL, 1, 1, '') + ')
) pvt;';
-- EXECUTE THE QUERY
EXECUTE SP_EXECUTESQL #SQL;
This creates and executes the following SQL:
SELECT [Prov],
[2013-01-01] = ISNULL([2013-01-01], 0),
[2013-02-01] = ISNULL([2013-02-01], 0),
[Total] = ISNULL([2013-01-01], 0) + ISNULL([2013-02-01], 0)
FROM ( SELECT Arrival, Prov, Amount
FROM [tblSource]
UNION ALL
SELECT Arrival, 'Total', SUM(Amount)
FROM [tblSource]
GROUP BY Arrival
) up
PIVOT
( SUM(Amount)
FOR Arrival IN ([2013-01-01],[2013-02-01])
) pvt;
It is the query below union in the subquery up that adds the total row at the bottom, and the row total is simply created by adding all the columns in the row.
Example on SQL Fiddle
I will stress again though, I really recommend handling manipulation of data like this outside of SQL.
EDIT
An alternative to using the UNION to get the the total row is to use GROUPING SETS as follows:
DECLARE #SQL NVARCHAR(MAX) = '',
#SQL2 NVARCHAR(MAX) = '',
#SQL3 NVARCHAR(MAX) = '';
-- COMPILE THE UNIQUE VALUES FOR ARRIVAL THAT NEED TO BE PIVOTED
SELECT #SQL = #SQL + ',' + QUOTENAME(Arrival),
#SQL2 = #SQL2 + '+ISNULL(' + QUOTENAME(Arrival) + ', 0)',
#SQL3 = #SQL3 + ',' + QUOTENAME(Arrival) + ' = ISNULL(' + QUOTENAME(Arrival) + ', 0)'
FROM (SELECT DISTINCT Arrival FROM tblSource) s;
-- COMBINE THEM INTO A SINGLE QUERY
SET #SQL = 'SELECT [Prov]' + #SQL3 + ', [Total] = ' + STUFF(#SQL2, 1, 1, '') + '
FROM ( SELECT Arrival, Prov = ISNULL(Prov, 'Total'), Amount = SUM(Amount)
FROM [tblSource]
GROUP BY GROUPING SETS((Prov, arrival), (arrival))
) up
PIVOT
( SUM(Amount)
FOR Arrival IN (' + STUFF(#SQL, 1, 1, '') + ')
) pvt;';
-- EXECUTE THE QUERY
EXECUTE SP_EXECUTESQL #SQL;

SAMPLE TABLE
CREATE TABLE #TEMP([prov] VARCHAR(100),[arrival] INT, AMOUNT NUMERIC(12,2))
INSERT INTO #TEMP
SELECT 'A' [prov],'201304' [arrival],100 AMOUNT
UNION ALL
SELECT 'A' ,'201305' ,124
UNION ALL
SELECT 'A' ,'201306' ,156
UNION ALL
SELECT 'B' ,'201304' ,67
UNION ALL
SELECT 'B' ,'201305' ,211
UNION ALL
SELECT 'B' ,'201306' ,176
UNION ALL
SELECT 'C' ,'201304' ,43
UNION ALL
SELECT 'C' ,'201305' ,56
UNION ALL
SELECT 'C' ,'201306' ,158
QUERY
You can use ROLLUP to get the row total. More about ROLLUP here
-- Get the columns for dynamic pivot
DECLARE #cols NVARCHAR (MAX)
SELECT #cols = COALESCE (#cols + ',[' + CAST([arrival] AS VARCHAR(50)) + ']',
'[' + CAST([arrival] AS VARCHAR(50)) + ']')
FROM (SELECT DISTINCT [arrival] FROM #TEMP) PV
ORDER BY [arrival]
-- Replace NULL value with zero
DECLARE #NulltoZeroCols NVARCHAR (MAX)
SELECT #NullToZeroCols = SUBSTRING((SELECT ',ISNULL(['+[arrival]+'],0) AS ['+[arrival]+']'
FROM (SELECT DISTINCT CAST([arrival] AS VARCHAR(50)) [arrival] FROM #TEMP)TAB
ORDER BY CAST([arrival]AS INT) FOR XML PATH('')),2,8000)
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT [prov],' + #NullToZeroCols + ' FROM
(
SELECT
ISNULL([prov],''Total'')[prov],
SUM(AMOUNT)AMOUNT ,
ISNULL(CAST([arrival] AS VARCHAR(50)),''Total'')[arrival]
FROM #TEMP
GROUP BY [arrival],[prov]
WITH ROLLUP
) x
PIVOT
(
MIN(AMOUNT)
FOR [arrival] IN (' + #cols + ')
) p
ORDER BY CASE WHEN ([prov]=''Total'') THEN 1 ELSE 0 END,[prov]'
EXEC SP_EXECUTESQL #query
Note : If you do not want to replace NULL with zero, just replace #NullToZeroCols with #cols in outer query of dynamic pivot

Related

Aggregate dynamic columns in SQL Server

I have a narrow table containing unique key and source data
Unique_Key
System
1
IT
1
ACCOUNTS
1
PAYROLL
2
IT
2
PAYROLL
3
IT
4
HR
5
PAYROLL
I want to be able to pick a system as a base - in this case IT - then create a dynamic SQL query where it counts:
distinct unique key in the chosen system
proportion of shared unique key with other systems. These systems could be dynamic and there are lot more than 4
I'm thinking of using dynamic SQL and PIVOT to first pick out all the system names outside of IT. Then using IT as a base, join to that table to get the information.
select distinct Unique_Key, System_Name
into #staging
from dbo.data
where System_Name <> 'IT'
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(System_Name)
FROM #staging
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT Unique_Key, ' + #cols + ' into dbo.temp from
(
select Unique_Key, System_Name
from #staging
) x
pivot
(
count(System_Name)
for System_Name in (' + #cols + ')
) p '
execute(#query)
select *
from
(
select distinct Unique_Key
from dbo.data
where System_Name = 'IT'
) a
left join dbo.temp b
on a.Unique_Key = b.Unique_Key
So the resulting table is:
Unique_Key
PAYROLL
ACCOUNTS
HR
1
1
1
0
2
1
0
0
3
0
0
0
What I want is one step further:
Distinct Count IT Key
PAYROLL
ACCOUNTS
HR
3
67%
33%
0%
I can do a simple join with specific case when/sum statement but wondering if there's a way to do it dynamically so I don't need to specify every system name.
Appreciate any tips/hints.
You can try to use dynamic SQL as below, I would use condition aggregate function get pivot value then we might add OUTER JOIN or EXISTS condition in dynamic SQL.
I would use sp_executesql instead of exec to avoid sql-injection.
DECLARE #System_Name NVARCHAR(50) = 'IT'
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#parameter AS NVARCHAR(MAX);
SET #parameter = '#System_Name NVARCHAR(50)'
select DISTINCT System_Name
into #staging
from dbo.data t1
WHERE t1.System_Name <> #System_Name
SET #cols = STUFF((SELECT distinct ', SUM(IIF(System_Name = '''+ System_Name+''',1,0)) * 100.0 / SUM(IIF(System_Name = #System_Name,0,1)) ' + QUOTENAME(System_Name)
FROM #staging
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT SUM(IIF(System_Name = #System_Name,0,1)) [Distinct Count IT Key], ' + #cols + ' from dbo.data t1
WHERE EXISTS (
SELECT 1
FROM dbo.data tt
WHERE tt.Unique_Key = t1.Unique_Key
AND tt.System_Name = #System_Name
) '
EXECUTE sp_executesql #query, #parameter, #System_Name
sqlfiddle
When writing Dynamic Query, you start off with a non-dynamic query. Make sure you gets the result of the query is correct before you convert to dynamic query.
For the result that you required, the query will be
with cte as
(
select it.Unique_Key, ot.System_Name
from data it
left join data ot on it.Unique_Key = ot.Unique_Key
and ot.System_Name <> 'IT'
where it.System_Name = 'IT'
)
select [ITKey] = count(distinct Unique_Key),
[ACCOUNTS] = count(case when System_Name = 'ACCOUNTS' then Unique_Key end) * 100.0
/ count(distinct Unique_Key),
[HR] = count(case when System_Name = 'HR' then Unique_Key end) * 100.0
/ count(distinct Unique_Key),
[PAYROLL] = count(case when System_Name = 'PAYROLL' then Unique_Key end) * 100.0
/ count(distinct Unique_Key)
from cte;
Once you get the result correct, it is not that difficult to convert to dynamic query. Use string_agg() or for xml path for those repeated rows
declare #sql nvarchar(max);
; with cte as
(
select distinct System_Name
from data
where System_Name <> 'IT'
)
select #sql = string_agg(sql1 + ' / ' + sql2, ',' + char(13))
from cte
cross apply
(
select sql1 = char(9) + quotename(System_Name) + ' = '
+ 'count(case when System_Name = ''' + System_Name + ''' then Unique_Key end) * 100.0 ',
sql2 = 'count(distinct Unique_Key)'
) a
select #sql = 'with cte as' + char(13)
+ '(' + char(13)
+ ' select it.Unique_Key, ot.System_Name' + char(13)
+ ' from data it' + char(13)
+ ' left join data ot on it.Unique_Key = ot.Unique_Key' + char(13)
+ ' and ot.System_Name <> ''IT''' + char(13)
+ ' where it.System_Name = ''IT''' + char(13)
+ ')' + char(13)
+ 'select [ITKey] = count(distinct Unique_Key), ' + char(13)
+ #sql + char(13)
+ 'from cte;' + char(13)
print #sql;
exec sp_executesql #sql;
db<>fiddle demo
This solution changes the aggregation function of the PIVOT itself.
First, let's add a column [has_it] to #staging that keeps track of whether each Unique_Key has an IT row:
select Unique_Key, System_Name, case when exists(select 1 from data d2 where d2.Unique_Key=d1.Unique_Key and d2.System_Name='IT') then 1 else 0 end as has_it
into #staging
from data d1
where System_Name <> 'IT'
group by Unique_Key, System_Name
Now, the per-System aggregation (sum) of this column divided by the final total unique keys needed (example case=3) returns the requests numbers. Change the PIVOT to the following and it's ready as-is, without further queries:
set #query = ' select *
from
(
select System_Name,cnt as [Distinct Count IT Key],has_it*1.0/cnt as divcnt
from #staging
cross join
(
select count(distinct Unique_Key) as cnt
from dbo.data
where System_Name = ''IT''
)y
) x
pivot
(
sum(divcnt)
for System_Name in (' + #cols + ')
) p'

SQL: PIVOT return all NULL values

Hello everyone and thanks in advance.
I have two tables that I need to merge using Pivot.
1)Table with list of users:
#Tbl_staff(UserId INT,
Name NVARCHAR(MAX),
Surname NVARCHAR(MAX),
Level NVARCHAR (MAX)
)
2) Table with users' actions:
#Tbl_acts(Day DATE,
UserIdfk INT,
WorkedHours NVARCHAR(MAX),
Absence NVARCHAR(MAX),
Festivity NVARCHAR(2)
)
Table 2 has a complete month for each ID and for each day the action recorded. (Hours worked, hours of absence and type of absence, if the day is a holiday)..
It can also be null if in the db there is no action for that person on that day.
I wrote my Pivot like this:
DECLARE #columns NVARCHAR(MAX), #sql NVARCHAR(MAX);
SET #columns = N'';
SELECT #columns += N', p.' + QUOTENAME((cast(USERID AS VARCHAR(MAX)) + ' ' + NAME+ ' ' + SURNAME+' ' +(ISNULL (LEVEL,''))))
FROM (SELECT p.USERID,p.NAME,p.SURNAME,p.LEVEL FROM #TBL_STAFF AS p
INNER JOIN #TBL_ACTS AS o
ON p.USERID = o.USERIDFK
GROUP BY p.USERID,P.NAME,P.SURNAME,P.LEVEL) AS x;
SET #sql = N'
SELECT DAY,' + STUFF(#columns, 1, 2, '') + '
FROM
(
SELECT DISTINCT o.DAY,IDU = CAST(p.USERID AS NVARCHAR(MAX)), o.WORKEDHOURS
FROM #TBL_STAFF AS p, #TBL_ACTS AS o
where p.USERID= o.USERIDFK
) AS j
PIVOT
(
MAX(WORKEDHOURS) FOR IDU IN ('
+ STUFF(REPLACE(#columns, ', p.[', ',['), 1, 1, '')
+ ')
) AS p ORDER BY DAY;';
PRINT #sql;
EXEC sp_executesql #sql;
(Trying to show only the worked hours ... would be a good start)
It's the result: Column 'day' is ok(31 rows) and 'staff' too but it shows nothing inside it.

how to create dynamic table

I have a dynamic pivoted query which generates a result set and I want to insert that data into a table. But the problem is columns are dropped or generated by the time. So by the time I cannot predict columns. That is why I created a dynamic pivoted dataset. So how to insert that data set into table?
One solution is to drop and recreate the table every time but I don't know how to do it. I tried CTE, TEMP table but EXEC support only select, insert, update, delete statement:
DECLARE #columns NVARCHAR(MAX), #sqlquery NVARCHAR(MAX), #orderby Nvarchar(MAX),#value Nvarchar(max);
SET #columns = N'';
SET #value=N'0'
SELECT #columns += N', ' + QUOTENAME([Note_Type])
FROM
(
SELECT distinct
No_T
FROM [DS_DM].[dbo].[DAILY_TABLE]
where No_T not in (570,80,150,590,80,99)
)as A order by No_T
SET #sqlquery = N'
Select
K._Number
,D.C_Number
,' + STUFF(#columns, 1, 2, '') + '
from
(
select
_Number
,' + STUFF(#columns, 1, 2, '') + '
from
(
select distinct
right(REPLICATE('+#value+',11) +_Number,11) as [_Number]
,No_t
,No_T_Des
FROM [DS_DM].[dbo].[DAILY_TABLE]
where No_T not in (570,80,150,590,80,99)
)AS J
pivot
(
count(No_T_Des) FOR [No_t] IN ('
+ STUFF(REPLACE(#columns, ', p.[', ',['), 1, 1, '')
+ ')
)P
)K
left join
[DS_DM].[dbo].[D_TABLE] D on k._Number = D._Number
';
EXEC sp_executesql #sqlquery
I've modified your code to reflect my proposed solution.
IF OBJECT_ID (N'NEW_TABLE', N'U') IS NOT NULL
BEGIN
DROP TABLE NEW_TABLE
END
DECLARE #columns NVARCHAR(MAX), #sqlquery NVARCHAR(MAX), #orderby Nvarchar(MAX),#value Nvarchar(max);
SET #columns = N'';
SET #value=N'0'
SELECT #columns += N', ' + QUOTENAME([Note_Type])
FROM
(
SELECT distinct
No_T
FROM [DS_DM].[dbo].[DAILY_TABLE]
where No_T not in (570,80,150,590,80,99)
)as A order by No_T
SET #sqlquery = N'
Select
K._Number
,D.C_Number
,' + STUFF(#columns, 1, 2, '') + '
INTO NEW_TABLE
from
(
select
_Number
,' + STUFF(#columns, 1, 2, '') + '
from
(
select distinct
right(REPLICATE('+#value+',11) +_Number,11) as [_Number]
,No_t
,No_T_Des
FROM [DS_DM].[dbo].[DAILY_TABLE]
where No_T not in (570,80,150,590,80,99)
)AS J
pivot
(
count(No_T_Des) FOR [No_t] IN ('
+ STUFF(REPLACE(#columns, ', p.[', ',['), 1, 1, '')
+ ')
)P
)K
left join
[DS_DM].[dbo].[D_TABLE] D on k._Number = D._Number
';
EXEC sp_executesql #sqlquery
So I found the answers to my questions.
there are 2 fileds which remais static every time. so I've created ETL that drop that table and recreate every single day with those two fileds. and rest of the 66 columns which are dynamic (drops or newly created) every day. so i've made a cursor for that which loop through all of that categories and altering that table that've created and added that code to ETL
So bassically Every single day that ETL Runs Drop the existing table, Create new table with the 2 static filds and altering same table using cursor with the dynamic filds.

Dynamic SQL SQL Server 2012 Get Result into a #temp table

I am using SQL Server 2012. I will like to get final result from #sql into a temp table.Here is my code so far. Thanks for your help.
IF OBJECT_ID ('tempdb.dbo.#MY_DT_CTE') IS NOT NULL DROP TABLE #MY_DT_CTE
CREATE TABLE #MY_DT_CTE
([ROWID] INT NOT NULL IDENTITY (1,1)
,[YYYYMM] INT
)
; WITH MY_DT_CTE AS
(
SELECT CONVERT(INT,CONVERT(VARCHAR(6),EOMONTH(GETDATE(),-1),112)) AS [YYYYMM]
UNION
SELECT CONVERT(INT,CONVERT(VARCHAR(6),EOMONTH(GETDATE(),-2),112)) AS [YYYYMM]
UNION
SELECT CONVERT(INT,CONVERT(VARCHAR(6),EOMONTH(GETDATE(),-3),112)) AS [YYYYMM]
UNION
SELECT CONVERT(INT,CONVERT(VARCHAR(6),EOMONTH(GETDATE(),-4),112)) AS [YYYYMM]
UNION
SELECT CONVERT(INT,CONVERT(VARCHAR(6),EOMONTH(GETDATE(),-5),112)) AS [YYYYMM]
UNION
SELECT CONVERT(INT,CONVERT(VARCHAR(6),EOMONTH(GETDATE(),-6),112)) AS [YYYYMM]
)
INSERT INTO #MY_DT_CTE
SELECT [YYYYMM] FROM MY_DT_CTE
ORDER BY [YYYYMM] DESC;
-- SELECT * FROM #MY_DT_CTE
DECLARE #columns NVARCHAR(MAX), #sql NVARCHAR(MAX);
SET #columns = N'';
SELECT #columns += N', p.' + QUOTENAME(YYYYMM)
FROM (SELECT p.YYYYMM FROM #MY_DT_CTE AS p
GROUP BY p.YYYYMM) AS x;
SET #sql = N'
SELECT ' + STUFF(#columns, 1, 2, '') + '
FROM
(
SELECT p.YYYYMM FROM #MY_DT_CTE AS p
) AS j
PIVOT
(
COUNT(YYYYMM) FOR YYYYMM IN ('
+ STUFF(REPLACE(#columns, ', p.[', ',['), 1, 1,
'')
+ ')
) AS p;';
PRINT #sql;
EXEC sp_executesql #sql;
Need to bring this result #sql into a temp table.
201605 201606 201607 201608 201609 201610
An easy way would be to use a global temporary table. This can be selected into in the dynamic SQL scope to automatically have the desired schema and still be available after that exits.
SET #sql = N'
SELECT ' + STUFF(#columns, 1, 2, '') + '
INTO ##GlobalTemp
FROM
(
SELECT p.YYYYMM FROM #MY_DT_CTE AS p
) AS j
PIVOT
(
COUNT(YYYYMM) FOR YYYYMM IN (' + STUFF(REPLACE(#columns, ', p.[', ',['), 1, 1, '') + ')
) AS p;';
EXEC sp_executesql #sql;
SELECT *
FROM ##GlobalTemp
However this can cause issues with naming clashes if the code is ever executed concurrently.
It is possible to use a local temp table but the code is more involved as it involves creating a temp table at the upper scope and then using dynamic SQL to alter it to the dynamically determined schema before inserting into it.
CREATE TABLE #T
(
Dummy INT
);
SET #sql = 'ALTER TABLE #T ADD Dummy2 INT' + REPLACE(REPLACE(#columns, 'p.', ''), ']', '] int') + ';
ALTER TABLE #T DROP COLUMN Dummy, Dummy2;'
EXEC (#sql);
SET #sql = N'
INSERT INTO #T
SELECT ' + STUFF(#columns, 1, 2, '') + '
FROM
(
SELECT p.YYYYMM FROM #MY_DT_CTE AS p
) AS j
PIVOT
(
COUNT(YYYYMM) FOR YYYYMM IN (' + STUFF(REPLACE(#columns, ', p.[', ',['), 1, 1, '') + ')
) AS p;';
EXEC sp_executesql #sql;
SELECT *
FROM #T

Query to pivot in SQL

I have data in the following format:
I need to pivot this to get the data as follows.
Please help!!!
Something like this. In this case you need to have a fixed list of names.
SELECT
SUM(CASE WHEN Student='Mike' THEN [English Mark] ELSE 0 END) as [Mike English Mark],
SUM(CASE WHEN Student='Mike' THEN [Maths Mark] ELSE 0 END) as [Mike Maths Mark],
SUM(CASE WHEN Student='Fisher' THEN [English Mark] ELSE 0 END) as [Fisher English Mark],
SUM(CASE WHEN Student='Fisher' THEN [Maths Mark] ELSE 0 END) as [Fisher Maths Mark],
SUM(CASE WHEN Student='John' THEN [English Mark] ELSE 0 END) as [John English Mark],
SUM(CASE WHEN Student='John' THEN [Maths Mark] ELSE 0 END) as [John Maths Mark],
[TestName]
FROM Table1
GROUP BY [Test Name]
The solution I got is a bit tricky but very dynamic.
You should first unpivot your table, and put the data in a temp table, after that I get the columns name for the pivoting and put the result in the #cols variable. At the end I create a dynamic sql string to pivot the the temp table that contains my data, so even if a new student gets added to the table his 2 columns will be generated in the end result.
select test, col + ' '+ Student stu_col , value
INTO
#temp
from Marks
unpivot(value for col in (english, maths)) unpiv
DECLARE #cols AS NVARCHAR(MAX), #query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(stu_col)
from #temp order by 1
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT test, ' + #cols + ' from
(
select test, Value, stu_col
from #temp
) x
pivot
(
SUM(Value)
for stu_col in (' + #cols + ')
) p '
exec(#query)
DROP TABLE #temp
You can write a dynamic sql query using Pivot operator as:
DECLARE #columns NVARCHAR(MAX)
,#columnsEnglish_Mark NVARCHAR(MAX)
,#columnsMath_Mark NVARCHAR(MAX)
,#columnsFNL NVARCHAR(MAX)
,#sql NVARCHAR(MAX);
SET #columns = N'';
--Get column names for entire pivoting
SELECT #columns += N', ' + QUOTENAME(SpreadCol)
FROM (select distinct student as SpreadCol
from tblstudent
) AS T;
PRINT #columns;
--Get column names for Pivot1
SET #columnsEnglish_Mark = N'';
SELECT #columnsEnglish_Mark += N', ISNULL(' + QUOTENAME(SpreadCol) + ',0) AS [' + SpreadCol + '_English_Mark]'
FROM (select distinct student as SpreadCol
from tblstudent
) AS T
;
PRINT #columnsEnglish_Mark;
--Get column names for Pivot2
SET #columnsMath_Mark = N'';
SELECT #columnsMath_Mark += N', ISNULL(' + QUOTENAME(SpreadCol) + ',0) AS [' + SpreadCol + '_Math_Mark]'
FROM (select distinct student as SpreadCol
from tblstudent
) AS T
;
PRINT #columnsMath_Mark;
--Get final list of columns:
SET #columnsFNL = N'';
SELECT #columnsFNL += N', [' + SpreadCol + '_English_Mark], [' + SpreadCol + '_Math_Mark] '
FROM (select distinct student as SpreadCol
from tblstudent
) AS T
order by T.SpreadCol asc; -- change ordering of columns here
PRINT #columnsFNL;
SET #sql = N'
select tblEnglish_Mark.Test_Name , ' + STUFF(#columnsFNL, 1, 2, '') + ' from
'
+
'
( SELECT Test_Name, ' + STUFF(#columnsEnglish_Mark, 1, 2, '') + '
FROM
(select student as SpreadCol , English_Mark, Test_Name
from tblstudent ) as D
PIVOT
(
sum(English_Mark) FOR SpreadCol IN ('
+ STUFF(REPLACE(#columns, ', [', ',['), 1, 1, '')
+ ')
) AS Pivot1 ) tblEnglish_Mark
inner join
'
+
'
( SELECT Test_Name, ' + STUFF(#columnsMath_Mark, 1, 2, '') + '
FROM
(select student as SpreadCol , Test_Name,Math_Mark
from tblstudent ) as D
PIVOT
(
MAx(Math_Mark) FOR SpreadCol IN ('
+ STUFF(REPLACE(#columns, ', [', ',['), 1, 1, '')
+ ')
) as Pivot2 ) tblMath_Mark
on tblEnglish_Mark.Test_Name = tblMath_Mark.Test_Name ;
'
;
PRINT #sql;
EXEC sp_executesql #sql;
Hope this helps!!!
Please try:
DECLARE #pivv NVARCHAR(MAX),#Query NVARCHAR(MAX)
SELECT #pivv=COALESCE(#pivv+',','')+ QUOTENAME(Student+'_English_Mark')+','+QUOTENAME(Student+'_Maths_Mark')
FROM YourTable GROUP BY Student
IF ISNULL(#pivv, '')<>''
SET #Query='SELECT* FROM(
select English_Mark Marks, Student+''_English_Mark'' Col, Test_Name From YourTable
union all
select Maths_Mark Marks, Student+''_Maths_Mark'' Col, Test_Name From YourTable
)x pivot (sum(Marks) for Col in ('+#pivv+')) as xx'
IF ISNULL(#Query, '')<>''
EXEC (#Query)
SQL Fiddle Demo