how to view sql query horizontally using pivot from 1 table - sql

Question

table.
rows of my table. for january
rows for february
My sample query
select id2,
(select budget from tblmonth where id2='1' and month='January' and groups='CCARE') as jbud1,
(select actual from tblmonth where id2='1' and month='January' and groups='CCARE') as jact1,
(select variance from tblmonth where id2='1' and month='January' and groups='CCARE') as jvar1,
(select [percent] from tblmonth where id2='1' and month='January' and groups='CCARE') as jper1,
(select budget from tblmonth where id2='2' and month='February' and groups='CCARE') as fbud2,
(select actual from tblmonth where id2='2' and month='February' and groups='CCARE') as fact2,
(select variance from tblmonth where id2='2' and month='February' and groups='CCARE') as fvar2,
(select [percent] from tblmonth where id2='2' and month='February' and groups='CCARE') as fper2
from tblmonth where groups='CCARE' and id2='1' and month='January'
my problem with this query is it returns duplicate values.
i want to achieve is.
the columns budget, actual, variance, percent from each month will be this display in a single result. like this in the image.
thanks in advance :) im only new to sql and im using a sql server 2014.

Answer 1

At first I create temp table, similar to yours:
CREATE TABLE #tblmonth (
id2 smallint,
[year] varchar(50),
groups varchar(100),
element varchar(100),
[month] varchar(50),
budget decimal(18,2),
actual decimal(18,2),
variance decimal(18,2),
[percent] decimal(18,2),
)
INSERT INTO #tblmonth VALUES
(1, 2016, 'CCARE', 'Basic', 'January', 52.28, 43.00, 43.98, 0.00),
(2, 2016, 'CCARE', 'Bonuses', 'January', 1.77, 17.10, -46.12, 0.00),
(3, 2016, 'CCARE', 'Overtime', 'January', 2.34, 20.20, 7.98, 0.00),
(4, 2016, 'CCARE', 'Comminication', 'January', 19.01, 27.34, -81.98, 0.00),
(5, 2016, 'CCARE', 'HDMF', 'January', 0.98, 22.17, -22.98, 0.00),
(1, 2016, 'CCARE', 'Basic', 'February', 152.28, 3.00, 4.98, 0.00),
(2, 2016, 'CCARE', 'Bonuses', 'February', 12.77, 1.10, -4.12, 0.00),
(3, 2016, 'CCARE', 'Overtime', 'February', 23.34, 3.20, 0.98, 0.00),
(4, 2016, 'CCARE', 'Comminication', 'February', 191.01, 2.34, -1.98, 0.00),
(5, 2016, 'CCARE', 'HDMF', 'February', 10.98, 2.17, -2.98, 0.00)
Then I ran dynamic SQL + UNPIVOT + PIVOT (about pivoting you can read on MSDN and here):
DECLARE #sql nvarchar(max),
#columns nvarchar(max)
--here we get column names for pivoting, so we dont need to write them by hand
SELECT #columns = STUFF((
SELECT ',budget'+[MONTH] + ',actual'+[MONTH]+ ',variance'+[MONTH]+',percent'+[MONTH]
FROM #tblmonth
GROUP BY [MONTH]
FOR XML PATH('')),1,1,'')
-- Main query, at first we UNPIVOT so we make column to rows,
-- then we pivot them back in a way we need.
SELECT #sql = '
SELECT *
FROM (
SELECT [year],
groups,
element,
[rows] + [month] as [rowname],
[values]
FROM (
SELECT id2,
[year],
groups,
element,
[month],
CAST(budget as varchar(50)) as budget,
CAST(actual as varchar(50)) as actual,
CAST(variance as varchar(50)) as variance,
CAST([percent] as varchar(50)) as [percent]
FROM #tblmonth) as p
UNPIVOT (
[values] FOR [rows]
IN (budget, actual, variance, [percent])
) as unpvt
) as p
PIVOT(
MAX([values]) FOR [rowname] IN ('+#columns+'
)
) as pvt'
EXEC sp_executesql #sql
Output:
year groups element budgetFebruary actualFebruary varianceFebruary percentFebruary budgetJanuary actualJanuary varianceJanuary percentJanuary
2016 CCARE Basic 152.28 3.00 4.98 0.00 52.28 43.00 43.98 0.00
2016 CCARE Bonuses 12.77 1.10 -4.12 0.00 1.77 17.10 -46.12 .00
2016 CCARE Comminication 191.01 2.34 -1.98 0.00 19.01 27.34 -81.98 0.00
2016 CCARE HDMF 10.98 2.17 -2.98 0.00 0.98 22.17 -22.98 0.00
2016 CCARE Overtime 23.34 3.20 0.98 0.00 2.34 20.20 7.98 0.00

Answer 2

Try this:
select t1.id2, t1.budget,t1.actual,t1.variance,t1[percent]
,t2.budget,t2.actual,t2.variance,t2.[percent]
from tblmonth t1 inner join
(select * from tblmonth where groups='CCARE' and month='February' ) t2
on t1.id2 = t2.id2 and t1.year = t2.year
where t1.groups='CCARE' and t1.month='January'

Answer 3

It should be something like this :
select
q.id2, q.year, q.groups, q.element,
jan.month as jMonth, jan.budget as jBudget, jan.actual as jActual, jan.variance as jVariance, jan.[percent] as jPercent, jan.date_update as jDateUpdate,
feb.month as fMonth, feb.budget as fBudget, feb.actual as fActual, feb.variance as fVariance, feb.[percent] as fPercent, feb.date_update as fDateUpdate
from (select groups, year, id2, element from tblmonth
where groups='CCARE' and year=2016 group by groups, year, id2, element) q
left join (select * from tblmonth
where groups='CCARE' and year=2016 and month='January') jan
on (q.groups = jan.groups and q.year = jan.year and
q.id2 = jan.id2 and q.element = jan.element)
left join (select * from tblmonth
where groups='CCARE' and year=2016 and month='February') feb
on (q.groups = feb.groups and q.year = feb.year and
q.id2 = feb.id2 and q.element = feb.element);
Simply joining subqueries on the common fields.
The first subquery q isn't really crucial.
Because you could use one of the months instead to join other months to it.
But the SQL looks better this way if one would add extra months.
Although it would make the SQL smaller. For example:
select
jan.id2, jan.year, jan.groups, jan.element,
jan.month as jMonth, jan.budget as jBudget, jan.actual as jActual, jan.variance as jVariance, jan.[percent] as jPercent, jan.date_update as jDateUpdate,
feb.month as fMonth, feb.budget as fBudget, feb.actual as fActual, feb.variance as fVariance, feb.[percent] as fPercent, feb.date_update as fDateUpdate
from tblmonth jan
left join tblmonth feb on (jan.groups = feb.groups and jan.year = feb.year and jan.id2 = feb.id2
and jan.element = feb.element and feb.month = 'February')
where jan.groups='CCARE' and jan.year=2016 and jan.month='January';