Reputation: 153
This is the table I have:
| Scheme Code | MonthYear | Revenue | Revenue2 |
|-------------|-----------|---------|----------|
| 18VDA | 2018.1 | 100 | 50 |
| 18VDA | 2018.2 | 200 | 100 |
| 18VDA | 2018.3 | 200 | 150 |
and I want to pivot it to like this:
| Scheme Code | 2018.1 A | 2018.2 A | 2018.3 A | 2018.1 B | 2018.2 B | 2018.3 B |
|-------------|----------|----------|----------|----------|----------|----------|
| 18VDA | 100 | 200 | 200 | 50 | 100 | 150 |
How do I do it so that it pivots in MonthYear, but it duplicates it for both Revenue and Revenue2?
Thanks
EDIT: Messed up the output table I was hoping for! I've edited the actual output table I want to see!
EDIT 2:
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
Select @cols = STUFF((SELECT ',' + QUOTENAME([MonthYear])
from tableA
group by [MonthYear]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT *
FROM ( SELECT [Scheme Code], MonthYear ,[Revenue]
FROM TableA
) a
PIVOT(sum(Revenue) for MonthYear in (' + @cols + ')
) as RevenueMonth
ORDER BY [Scheme Code]'
execute(@query);
This code I wrote will do it for just one column, and I get the output like this:
| Scheme Code | 2018.1 | 2018.2 | 2018.3 |
|-------------|--------|--------|--------|
| 18VDA | 100 | 200 | 200 |
Upvotes: 3
Views: 335
Reputation: 247650
My suggestion always is to try to write your query as a hard-coded or static version first before diving into dynamic SQL. This let's you get the final result you want with a smaller subset of data and you can verify that you have the logic correct.
I would tackle this by performing an UNPIVOT
of the two Revenue
columns first, then look at applying the PIVOT
function. To UNPIVOT
you can use either the UNPIVOT
function or you can use CROSS APPLY
with a UNION ALL
to convert your two Revenue
columns into a single column. A static version of the query would be similar to this:
select *
from
(
select
t.[Scheme Code],
new_colname = concat(t.[MonthYear], ' ', r.colname),
r.colvalue
from yourtable t
cross apply
(
select 'A', Revenue union all
select 'B', Revenue2
) r (colname, colvalue)
) d
pivot
(
sum(colvalue)
for new_colname in ([2018.1 A], [2018.2 A], [2018.3 A], [2018.1 B], [2018.2 B], [2018.3 B])
) p;
You'll notice that in the CROSS APPLY
I added a column with the A
or B
that I use to identify either the Revenue
or Revenue2
columns. This is then used to create the new column names for the PIVOT
.
This should generate the result you want. Now to do this dynamically, you just need to convert the SQL to dynamic code. You can use the following to get the result:
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
Select @cols = STUFF((SELECT ',' + QUOTENAME(concat([MonthYear], x.col))
from yourtable
cross join (select col = ' A' union all select ' B') x
group by [MonthYear], x.col
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT *
FROM
(
select
t.[Scheme Code],
new_colname = concat(t.[MonthYear], '' '', r.colname),
r.colvalue
from yourtable t
cross apply
(
select ''A'', Revenue union all
select ''B'', Revenue2
) r (colname, colvalue)
) a
PIVOT
(
sum(colvalue) for new_colname in (' + @cols + ')
) as x
ORDER BY [Scheme Code]';
exec sp_executesql @query;
Both of these should generate the same results (dbfiddle demo)
Upvotes: 8
Reputation: 22811
Do it with CASE
and dynamic sql.
DECLARE @colsA AS NVARCHAR(MAX),
@colsB AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @colsA = (SELECT ', sum(case [MonthYear] when ''' + [MonthYear] + ''' then Revenue end)' + QUOTENAME([MonthYear] + ' A')
from tableA
group by [MonthYear]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)'),
@colsB = (SELECT ', sum(case [MonthYear] when ''' + [MonthYear] + ''' then Revenue2 end)' + QUOTENAME([MonthYear] + ' B')
from tableA
group by [MonthYear]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)');
Set @query = 'select [Scheme Code]' + @colsA + @colsB + ' from TableA group by [Scheme Code] order by [Scheme Code];';
print @query;
Upvotes: 0