I have data from select query which looks this way:
Id EventName Quantity
A930FF06-B9F2-4D06-A28E-00037E82DDB1 DiscountClick 40
A930FF06-B9F2-4D06-A28E-00037E82DDB1 DiscountLike 1
A930FF06-B9F2-4D06-A28E-00037E82DDB1 DiscountSave 11
A930FF06-B9F2-4D06-A28E-00037E82DDB1 DiscountView 2579
28D64EEB-97FB-45A9-AA4C-00359FF6FF42 DiscountClick 22
28D64EEB-97FB-45A9-AA4C-00359FF6FF42 DiscountSave 1
28D64EEB-97FB-45A9-AA4C-00359FF6FF42 DiscountView 971
I want transform it to table which looks this:
Id DiscountView Discount...
A930FF06-B9F2-4D06-A28E-00037E82DDB1 2579
28D64EEB-97FB-45A9-AA4C-00359FF6FF42 971
How I can do that?
This is the dynamic pivot query for your problem.
DECLARE #DynamicPivotQuery AS NVARCHAR(MAX),
#PivotColumnNames AS NVARCHAR(MAX),
#PivotSelectColumnNames AS NVARCHAR(MAX)
--Get distinct values of the PIVOT Column
SELECT #PivotColumnNames= ISNULL(#PivotColumnNames + ',','')
+ QUOTENAME(EventName)
FROM (SELECT DISTINCT EventName FROM test_table) AS Courses
--Get distinct values of the PIVOT Column with isnull
SELECT #PivotSelectColumnNames
= ISNULL(#PivotSelectColumnNames + ',','')
+ 'ISNULL(' + QUOTENAME(EventName) + ', 0) AS '
+ QUOTENAME(EventName)
FROM (SELECT DISTINCT EventName FROM test_table) AS Courses
--Prepare the PIVOT query using the dynamic
SET #DynamicPivotQuery =
N'SELECT Id, ' + #PivotSelectColumnNames + '
FROM test_table
pivot(sum(quantity) for EventName in (' + #PivotColumnNames + ')) as pvt';
--Execute the Dynamic Pivot Query
EXEC sp_executesql #DynamicPivotQuery
This is the traditional cross tab / conditional aggregation version of a pivot():
select
Id
, DiscountView = sum(case when EventName = 'DiscountView' then Quantity end)
, DiscountSave = sum(case when EventName = 'DiscountSave' then Quantity end)
, DiscountLike = sum(case when EventName = 'DiscountLike' then Quantity end)
from t
group by Id
pivot() version:
select
Id
, DiscountView
, DiscountSave
, DiscountLike
from t
pivot (sum(Quantity) for EventName in (DiscountView, DiscountSave, DiscountLike)) pvt
Related
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'
I tried to convert the (null) values with 0 (zeros) output in PIVOT function but have no success.
Below is the table and the syntax I've tried:
SELECT DISTINCT isnull([DayLoad],0) FROM #Temp1
Data in the table #Temp1:
zone dayB templt cid DayLoad
other 10 other 1 2020-05-28
other 10 other 1 2020-05-29
other 10 other 1 2020-05-30
other 10 other 1 2020-05-31
other 4 other 1 2020-06-02
other 10 other 1 2020-06-02
other 10 other 1 2020-06-01
My request:
DECLARE #cols NVARCHAR (MAX)
SELECT #cols = COALESCE (#cols + ',[' + CONVERT(NVARCHAR, [DayLoad], 106) + ']',
'[' + CONVERT(NVARCHAR, [DayLoad], 106) + ']')
FROM (SELECT DISTINCT [DayLoad] FROM #Temp1) PV
ORDER BY [DayLoad]
DECLARE #query NVARCHAR(MAX)
SET #query = '
SELECT *
into #temptable
FROM
(
SELECT
''''+[zone]+'' '' + ''''+convert(varchar(50),[dayB])+''''+''+'' +'' ''+(case when [templt]=''Прочее'' then '''' else [templt] end)+'''' as [zone/dayB]
,[DayLoad]
,[cid]
,[dayB]
,[zone]
FROM #Temp1
) x
PIVOT
(
sum([cid])
FOR [DayLoad] IN ('+ #cols + ')
) p
select *
from #temptable
order by [zone],[dayB]
drop table #temptable
'
EXEC(#query)
DROP TABLE #Temp1
Please refer below example, when you have nulls and empty string, right option is to go with case statement,
SELECT DISTINCT case when ([DayLoad] is null or [DayLoad] = '') then 0 else [DayLoad] end FROM #Temp1
I've tried so hard to understand how to create a pivot table in SQL, but I can't manage it!
I have the following columns:
link_id route_section date_1 StartHour AvJT data_source
....... ............. ....... ........... ...... ............
With 600,000 rows of data.
I need them in the following pivot table;
date_1 StartHour as column headings
link_id as the row heading
AvJT as the data
with data_source = '1' as the filter.
PIVOT TABLE
Link_ID
date_1 StartHour 00001a 000002a 000003a 000004a
20/01/2014 8 456 4657 556 46576
21/01/2014 8 511 4725 601 52154
22/01/2014 8 468 4587 458 47585
23/01/2014 8 456 4657 556 46576
24/01/2014 8 456 4657 556 46576
25/01/2014 8 456 4657 556 46576
26/01/2014 8 456 4657 556 46576
I've managed to get the following code, this works but only gives me date_1 as column heading and not StartHour additionally, or with the filter as date_source = '1'.
Use [C1_20132014]
DECLARE #DynamicPivotQuery AS NVARCHAR(MAX)
DECLARE #ColumnName AS NVARCHAR(MAX)
--Get distinct values of the PIVOT Column
SELECT #ColumnName= ISNULL(#ColumnName + ',','')
+ QUOTENAME(Link_ID)
FROM (SELECT DISTINCT Link_ID FROM C1_May_Routes) AS Link_ID
--Prepare the PIVOT query using the dynamic
SET #DynamicPivotQuery =
N'SELECT Date_1, ' + #ColumnName + '
FROM C1_May_Routes
PIVOT(SUM(AvJT)
FOR Link_ID IN (' + #ColumnName + ')) AS PVTTable'
--Execute the Dynamic Pivot Query
EXEC sp_executesql #DynamicPivotQuery
Thanks for any help,
Henry
Here you will select the values in a column to show as column in pivot
DECLARE #cols NVARCHAR (MAX)
SELECT #cols = COALESCE (#cols + ',[' + AvJT + ']', '[' + AvJT + ']')
FROM (SELECT DISTINCT AvJT FROM YourTable) PV
ORDER BY AvJT
Now pivot the query
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT * FROM
(
SELECT date_1, StartHour,AvJT, data_source
FROM YourTable
) x
PIVOT
(
-- Values in each dynamic column
SUM(data_source)
FOR AvJT IN (' + #cols + ')
) p;'
EXEC SP_EXECUTESQL #query
Click here to view result
If you want to do it to where column names are not dynamic, you can do the below query
SELECT DATE_1,STARTHOUR,
MIN(CASE WHEN AvJT='00001a' THEN data_source END) [00001a],
MIN(CASE WHEN AvJT='00002a' THEN data_source END) [00002a],
MIN(CASE WHEN AvJT='00003a' THEN data_source END) [00003a],
MIN(CASE WHEN AvJT='00004a' THEN data_source END) [00004a]
FROM YOURTABLE
GROUP BY DATE_1,STARTHOUR
Click here to view result
EDIT :
I am updating for your updated question.
Declare a variable for filtering data_source
DECLARE #DATASOURCE VARCHAR(20) = '1'
Instead of QUOTENAME, you can use another format to get the columns for pivot
DECLARE #cols NVARCHAR (MAX)
SELECT #cols = COALESCE (#cols + ',[' + Link_ID + ']', '[' + Link_ID + ']')
FROM (SELECT DISTINCT Link_ID FROM C1_May_Routes WHERE data_source=#DATASOURCE) PV
ORDER BY Link_ID
Now pivot
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT * FROM
(
-- We will select the data that has to be shown for pivoting
-- with filtered data_source
SELECT date_1, StartHour,AvJT, Link_ID
FROM C1_May_Routes
WHERE data_source = '+#DATASOURCE+'
) x
PIVOT
(
-- Values in each dynamic column
SUM(AvJT)
-- Select columns from #cols
FOR Link_ID IN (' + #cols + ')
) p;'
EXEC SP_EXECUTESQL #query
Click here to view result
A crosstab would be something like this. FWIW, I would recommend using better column names than 00001a. Give your column names some meaning so they are easier to work with.
with SortedData as
(
SELECT date_1
, StartHour
, AvJT
, data_source
, ROW_NUMBER() over (partition by date_1 order by AvJT) AS RowNum
FROM YourTable
)
select date_1
, StartHour
, MAX(case when RowNum = 1 then AvJT end) as [00001a]
, MAX(case when RowNum = 2 then AvJT end) as [00002a]
, MAX(case when RowNum = 3 then AvJT end) as [00003a]
, MAX(case when RowNum = 4 then AvJT end) as [00004a]
from SortedData
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
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