Pivot Table with Dynamic - sql

Question

My quest might be answered in somewhere here but I couldn't find. So, sorry if I asked in vain.
I have a Table that's populate automatically with precisely date/time in SQL Server and looks like this:
Cod_Analise| Dat_analise | Nom_usuario| Resultado
-----------+-----------------+------------+-----------
1 | 02/20/2019 14:30| John | 4.5
2 | 02/20/2019 14:31| Carl | 60
3 | 02/21/2019 17:25| Carl | 17
2 | 02/19/2019 06:00| Marcus | 58
1 | 02/20/2019 15:40| Jorge | 5.2
2 | 02/21/2019 22:00| John | 58
and I need something like this:
Dat_Analise | 1 | 2 | 3 | Nom_usuario
------------+---+---+---+------------
02/19/2019 | 0 |58 | 0 | Marcus
02/20/2019 |4.9|60 | 0 | (First or Last one)
I need to do a pivot table based in this table where the Columns are Dat_Analise(date), Nom_operador(who did) and "Cod_Analise"(what did). And the rows are "Resultados"(results).
My problem is, i need to group by time period taking avg results for dynamic number of Cod_analises. But I even did the pivot with dynamic columns but I cannot fit the Group By part inside the pivot table.
I try to use a model that i found here and my procedure is like this:
SELECT
A.[RESULTADO],
A.[DAT_ANALISE],
A.[NOM_USUARIO],
B.[NOM_ANALISE]
into #temporaria
FROM
[BSDB_Processo].[dbo].[RESULTADOS_ANALISES] A,
[BSDB_Processo].[dbo].[ANALISES] B
WHERE
A.COD_PROCESSO = #PROCESSO
AND
A.COD_ANALISE = B.COD_ANALISE
AND
NUM_LOTE =#LOTE
Then:
declare #columnsSrc nvarchar(max) = N''
,#columnsDst nvarchar(max) = N''
,#sql nvarchar(max)
,#KeyColumns nvarchar(max) = N'DAT_ANALISE'
,#compatibility int = (
select top 1 compatibility_level from sys.databases
where name = db_name()
order by Name
);
declare #GroupBy nvarchar(max) =
--case when #compatibility <= 90
-- then case when len(#KeyColumns)=0 then '' else 'group by ' + #KeyColumns +
-- ' with rollup' end
-- else case when len(#KeyColumns)=0 then '' else 'group by rollup ('
-- + #KeyColumns + ')' end
-- end
case when len(#KeyColumns)=0 then '' else 'group by ' + #KeyColumns end;
select
#columnsSrc += nchar(10) + N',' + quotename([NOM_ANALISE])
,#columnsDst += nchar(10) + N',sum(isnull(' + quotename([NOM_ANALISE]) + N',0)) as '
+ quotename([NOM_ANALISE])
from (
select [NOM_ANALISE]
from #temporaria
group by [NOM_ANALISE]
) as x
order by x.[NOM_ANALISE]
And:
set #sql = N'
select ' +
case when len(#KeyColumns)=0 then '' else #KeyColumns + ',' end +
STUFF(#columnsDst, 1, 2, '') + '
INTO ##tabelaAnalises
from (
select' + nchar(10) +
case when len(#KeyColumns)=0 then '' else #KeyColumns + ',' end +
' [NOM_ANALISE],[RESULTADO]
from #temporaria
) as j
pivot (
sum([RESULTADO]) for [NOM_ANALISE] in ('
+ stuff(replace(#columnsSrc, ',p.[', ',['), 2, 1, '')
+ ')
) as p' + nchar(10) +
#GroupBy +
';'
>;
--print #sql;
exec sp_executesql #sql;
select * from ##tabelaAnalises
commit
End
Hope you can help me guys and ,again, sorry if i did something wrong with this post. First time using this

Answer 1

Try to see the below query. Please, see UPDATE section of a pivot with column Nom_usuario.
Sample data:
IF OBJECT_ID('tempdb..#SomeTable') IS NOT NULL DROP TABLE #SomeTable
GO
CREATE TABLE #SomeTable
(
Cod_Analise int,
Dat_analise datetime,
Nom_usuario varchar(50),
Resultado numeric(18,1)
)
INSERT INTO #SomeTable
(
Cod_Analise,
Dat_analise,
Nom_usuario,
Resultado
)
VALUES
( 2, '20190219 06:00', 'Marcus', 58)
, ( 1, '20190220 14:30', 'John', 4.5)
, ( 2, '20190220 14:31', 'Carl', 60)
, ( 1, '20190220 15:40', 'Jorge', 5.2)
, ( 3, '20190221 17:25', 'Carl', 17)
, ( 2, '20190221 22:00', 'John', 58)
A query:
SELECT
pvt.Dat_analise
, pvt.[1]
, pvt.[2]
, pvt.[3]
FROM
(SELECT
CONVERT(date, (t.Dat_analise)) Dat_analise
, t.Cod_Analise
, t.Resultado
FROM #SomeTable t) AS t
PIVOT
(
AVG(T.Resultado)
FOR t.Cod_Analise IN ([1], [2], [3])
) pvt
And dynamic version:
declare #cols nvarchar(max);
declare #sql nvarchar(max);
select #cols = stuff((
select distinct
' , ' + CONCAT('[', CONVERT(varchar(10), t.Cod_Analise), ']')
from #SomeTable t
order by 1
for xml path (''), type).value('.','nvarchar(max)')
,1,2,'')
select #sql = '
select p.Dat_Analise,' + #cols + '
from (
SELECT
CONVERT(date, (t.Dat_analise)) Dat_analise
, t.Cod_Analise
, t.Resultado
FROM #SomeTable t
) as t
pivot (AVG(T.Resultado)
FOR t.Cod_Analise in (' + #cols + ') ) p'
exec(#sql);
OUTPUT:
Dat_analise 1 2 3
2019-02-19 NULL 58.000000 NULL
2019-02-20 4.850000 60.000000 NULL
2019-02-21 NULL 58.000000 17.000000
UPDATE:
Use the following code snippet to show a Nom_usuario:
declare #cols nvarchar(max);
declare #sql nvarchar(max);
select #cols = stuff((
select distinct
' , ' + CONCAT('[', CONVERT(varchar(10), t.Cod_Analise), ']')
from SomeTable t
order by 1
for xml path (''), type).value('.','nvarchar(max)')
,1,2,'')
select #sql = '
select *
from
(
SELECT
CONVERT(date, (t.Dat_analise)) Dat_analise
, t.Cod_Analise
, t.Resultado
, MAX(t.Nom_usuario) OVER (PARTITION BY CONVERT(DATE, (t.Dat_analise))) Nom_usuario
FROM SomeTable t
) as t
pivot (AVG(T.Resultado)
FOR t.Cod_Analise in (' + #cols + ') ) p'
exec(#sql);
OUTPUT:
Dat_analise Nom_usuario 1 2 3
2019-02-21 John NULL 58.000000 17.000000
2019-02-20 Jorge 4.850000 60.000000 NULL
2019-02-19 Marcus NULL 58.000000 NULL