create an classification for months ordered - sql

Question

I'm trying to create an column in my query to show an ordered classification ( show 1, 2, 3 ( as in first, second, third ...)) relative to date... in my current query i have filtered data from the last 12 months ( as example, from 1-9-2016 to 31-8-2017)
using DATEADD(mm; DATEDIFF(m; - 1; GETDATE()) - 12; 0)
for the first date and
DATEADD(s; - 1; DATEADD(mm; DATEDIFF(m; 0; GETDATE()) + 1; 0))
for the last day of the current month. And i also have two columns, one with the month and other with the year, both extracted from a document date column present in the data ( i'm using
MONTH(dbo.Mov_Venda_Cab.dtmData) and YEAR(dbo.Mov_Venda_Cab.dtmData)).
My goal is to have a column showing something like this :
If the month is the first from the interval ( if is month 9 and year 2016 ) is has to show 1 , if is the second ( month 10 and year 2016) , show 2, all continuously until the current month ( that is 8 and year 2017) and showing 12.
If the values where static i could do a simple case and would achieve what i wanted. My problem is that since when i get the data filtered by my current date and the 12 months behind, i don't manage to get the same result because i don't know exactly what i should do in the CASE expression.
so that it could help my columns are :
Item ; Qty ; Month ; Year ; dtmData ; orderedMonth
ORIGINAL QUERY :
SELECT DISTINCT DATEADD(mm, DATEDIFF(m, - 1, GETDATE()) - 12, 0) AS DATA_INI,
DATEADD(s, - 1, DATEADD(mm, DATEDIFF(m, 0, GETDATE()) + 1, 0)) AS DATA_FIM,
dbo.Mov_Venda_Lin.Id,
MONTH(dbo.Mov_Venda_Cab.dtmData) AS Mes,
YEAR(dbo.Mov_Venda_Cab.dtmData) AS Ano,
dbo.Mov_Venda_Lin.fltValorMercadoriaSIVA * dbo.Mov_Venda_Cab.intSinal AS Mercadoria,
dbo.Mov_Venda_Lin.fltValorLiquido * dbo.Mov_Venda_Cab.intSinal AS ValorLiquido,
CASE
WHEN tbl_tipos_documentos.bitconsideraqtdmapas = 1
THEN (Mov_Venda_Lin.fltQuantidade * mov_venda_cab.intsinal)
ELSE 0
END AS Quantidade,
dbo.Mov_Venda_Lin.strCodSeccao AS Seccao,
dbo.Mov_Venda_Lin.strAbrevTpDoc AS TpDoc,
dbo.Tbl_Tipos_Documentos.strDescricao AS DescTpDoc,
dbo.Mov_Venda_Lin.intNumLinha AS Linha,
dbo.Mov_Venda_Lin.strCodExercicio AS Exercicio,
dbo.Mov_Venda_Cab.strAbrevMoeda AS Moeda,
dbo.Mov_Venda_Cab.fltCambio AS Cambio,
dbo.Mov_Venda_Lin.strCodArtigo AS Artigo,
dbo.Tbl_Gce_Artigos.strDescricao AS DescArtigo,
dbo.Mov_Venda_Lin.strCodClassMovStk AS MovStk,
dbo.Tbl_ClassificacaoMovStk.strDescricao AS DescMovStk,
CASE
WHEN mov_venda_cab.inttpentidade = 0
THEN tbl_gce_tipos_entidade.strcodigo
ELSE NULL
END AS TpEntidade,
CASE
WHEN mov_venda_cab.inttpentidade = 0
THEN tbl_gce_tipos_entidade.strdescricao
ELSE NULL
END AS DescTpEntidade,
CASE
WHEN mov_venda_cab.intcodentidade <> 0
THEN mov_venda_cab.intcodentidade
ELSE NULL
END AS CodEntidade,
CASE
WHEN mov_venda_cab.inttpentidade = 0
AND mov_venda_cab.intcodentidade <> 0
THEN 'Cliente'
WHEN mov_venda_cab.inttpentidade = 1
AND mov_venda_cab.intcodentidade <> 0
THEN 'Outro Devedor'
ELSE NULL
END AS TipoEntidade,
CASE
WHEN mov_venda_cab.inttpentidade = 0
THEN tbl_clientes.strnome
ELSE tbl_outros_devedores.strnome
END AS DescNome,
dbo.Tbl_SubZonas.strAbrevZona AS Zona,
dbo.Tbl_Zonas.strDescricao AS DescZona,
dbo.Mov_Venda_Cab.strAbrevSubZona AS SubZona,
dbo.Tbl_SubZonas.strDescricao AS DescSubZona,
dbo.Mov_Venda_Cab.intCodVendedor AS Vendedor,
dbo.Tbl_Gce_Vendedores.strNome AS DescNomeVend,
dbo.Tbl_Gce_Artigos.strCodCategoria AS Categoria,
dbo.Tbl_Gce_Categorias.strDescricao AS DescCategoria,
dbo.Tbl_Gce_Artigos.strTpArtigo AS TpArtigo,
dbo.Tbl_Gce_Tipos_Artigos.strDescricao AS DescTpArtigo,
CAST(NULL AS VARCHAR(13)) AS CodFamiliaAgrup,
CAST(NULL AS VARCHAR(35)) AS DescFamAgrup,
CAST(NULL AS VARCHAR(13)) AS CodFamiliaRes,
CAST(NULL AS VARCHAR(35)) AS DescFamRes,
dbo.Mov_Venda_Cab.strForteAbrevMoeda AS abrevmoeda,
dbo.Mov_Venda_Cab.fltForteCambio AS fortecambio
FROM dbo.Mov_Venda_Lin WITH (NOLOCK)
LEFT OUTER JOIN dbo.Mov_Venda_Cab WITH (NOLOCK)
ON dbo.Mov_Venda_Lin.strCodSeccao = dbo.Mov_Venda_Cab.strCodSeccao
AND dbo.Mov_Venda_Lin.strAbrevTpDoc = dbo.Mov_Venda_Cab.strAbrevTpDoc
AND dbo.Mov_Venda_Lin.strCodExercicio = dbo.Mov_Venda_Cab.strCodExercicio
AND dbo.Mov_Venda_Lin.intNumero = dbo.Mov_Venda_Cab.intNumero
LEFT OUTER JOIN dbo.Tbl_Gce_Armazens WITH (NOLOCK)
ON dbo.Mov_Venda_Lin.strCodArmazem = dbo.Tbl_Gce_Armazens.strCodigo
LEFT OUTER JOIN dbo.Tbl_Gce_Artigos WITH (NOLOCK)
ON dbo.Tbl_Gce_Artigos.strCodigo = dbo.Mov_Venda_Lin.strCodArtigo
LEFT OUTER JOIN dbo.Tbl_Gce_ArtigosFamilias WITH (NOLOCK)
ON dbo.Tbl_Gce_Artigos.strCodigo = dbo.Tbl_Gce_ArtigosFamilias.strCodArtigo
LEFT OUTER JOIN dbo.Tbl_Gce_Familias WITH (NOLOCK)
ON dbo.Tbl_Gce_ArtigosFamilias.strCodFamilia = dbo.Tbl_Gce_Familias.strCodigo
LEFT OUTER JOIN dbo.Tbl_Gce_ArtigosReferencias WITH (NOLOCK)
ON dbo.Tbl_Gce_Artigos.strCodigo = dbo.Tbl_Gce_ArtigosReferencias.strCodArtigo
LEFT OUTER JOIN dbo.Tbl_Gce_Referencias WITH (NOLOCK)
ON dbo.Tbl_Gce_ArtigosReferencias.strCodReferencia = dbo.Tbl_Gce_Referencias.strCodigo
LEFT OUTER JOIN dbo.Tbl_Gce_Tipos_Artigos WITH (NOLOCK)
ON dbo.Tbl_Gce_Artigos.strTpArtigo = dbo.Tbl_Gce_Tipos_Artigos.strCodigo
LEFT OUTER JOIN dbo.Tbl_Clientes WITH (NOLOCK)
ON dbo.Mov_Venda_Cab.intCodEntidade = dbo.Tbl_Clientes.intCodigo
LEFT OUTER JOIN dbo.Tbl_Direccoes WITH (NOLOCK)
ON dbo.Mov_Venda_Cab.intCodEntidade = dbo.Tbl_Direccoes.intCodigo
AND dbo.Mov_Venda_Cab.intDireccao = dbo.Tbl_Direccoes.intNumero
AND dbo.Mov_Venda_Cab.intTpEntidade = dbo.Tbl_Direccoes.intTp_Entidade
LEFT OUTER JOIN dbo.Tbl_Outros_Devedores WITH (NOLOCK)
ON dbo.Mov_Venda_Cab.intCodEntidade = dbo.Tbl_Outros_Devedores.intCodigo
LEFT OUTER JOIN dbo.Tbl_Gce_Vendedores WITH (NOLOCK)
ON dbo.Mov_Venda_Cab.intCodVendedor = dbo.Tbl_Gce_Vendedores.intCodigo
LEFT OUTER JOIN dbo.Tbl_Tipos_Documentos WITH (NOLOCK)
ON dbo.Mov_Venda_Cab.strAbrevTpDoc = dbo.Tbl_Tipos_Documentos.strAbreviatura
LEFT OUTER JOIN dbo.Tbl_SubZonas WITH (NOLOCK)
ON dbo.Mov_Venda_Cab.strAbrevSubZona = dbo.Tbl_SubZonas.strAbreviatura
LEFT OUTER JOIN dbo.Tbl_Zonas WITH (NOLOCK)
ON dbo.Tbl_SubZonas.strAbrevZona = dbo.Tbl_Zonas.strAbreviatura
LEFT OUTER JOIN dbo.Tbl_Gce_Categorias WITH (NOLOCK)
ON dbo.Tbl_Gce_Artigos.strCodCategoria = dbo.Tbl_Gce_Categorias.strCodigo
LEFT OUTER JOIN dbo.Tbl_Gce_Seccoes WITH (NOLOCK)
ON dbo.Mov_Venda_Cab.strCodSeccao = dbo.Tbl_Gce_Seccoes.strCodigo
LEFT OUTER JOIN dbo.Tbl_Gce_Tipos_Entidade WITH (NOLOCK)
ON dbo.Tbl_Clientes.strTpEntidade = dbo.Tbl_Gce_Tipos_Entidade.strCodigo
LEFT OUTER JOIN dbo.Tbl_ClassificacaoMovStk WITH (NOLOCK)
ON dbo.Mov_Venda_Lin.strCodClassMovStk = dbo.Tbl_ClassificacaoMovStk.strCodigo
WHERE (dbo.Mov_Venda_Cab.intTpEntidade = 0
OR dbo.Mov_Venda_Cab.intTpEntidade IS NULL)
AND (dbo.Mov_Venda_Cab.strAbrevTpDoc IN ('CRFCX', 'FACIV', 'FACTC', 'FCTA', 'LANIV', 'LOFX', 'LONC', 'LXANI', 'NCFCX', 'NFACC', 'NFACE', 'NFACM', 'NFACT', 'NNCRC', 'NNCRE', 'NNCRM', 'NNDEB', 'NNDEC', 'NNDEV', 'NVDIC', 'NVDIN', 'XLACC', 'XLACD'))
AND (dbo.Mov_Venda_Cab.strCodSeccao IN ('1', 'ENCT1', 'ENCT2', 'ENCT3', 'ENCT4', 'ENCT5', 'ENCT6'))
AND (dbo.Mov_Venda_Cab.dtmData > DATEADD(mm, DATEDIFF(m, - 1, GETDATE()) - 12, 0))
AND (dbo.Mov_Venda_Cab.dtmData <= DATEADD(s, - 1, DATEADD(mm, DATEDIFF(m, 0, GETDATE()) + 1, 0)))
AND (dbo.Mov_Venda_Lin.intTpLinha > 2)
AND (dbo.Mov_Venda_Cab.bitAnulado = 0)
AND (dbo.Mov_Venda_Cab.bitConvertido = 0)

Answer 1

Luckily there's a much less complicated method than using a bunch of CASE statements. You can use the ROW_NUMBER function.
First, don't split your dates into month and year. Just use Getdate() to calculate your desired range and compare your source dates to that. Then you add the ROW_NUMBER to get your ordering output:
SELECT
*
,ordered_output = (ROW_NUMBER()OVER(PARTITION BY grouping_field ORDER BY cast(dtmData as datetime) ASC))
FROM Mov_Venda_Cab
WHERE cast(dtmData as datetime) >= getdate() - 365
This example assumes your have some ID field or similar on which your want to group your output, represented by grouping_field in the example. Your results would look like:
grouping_field dtmData ordered_output
1 8/1/2017 1
1 8/2/2017 2
1 8/3/2017 3
2 8/1/2017 1
2 8/2/2017 2
2 8/3/2017 3
If you don't want to group your output, just ordering everything by the date, you can omit the PARTITION BY grouping_field text. You'd get instead something like:
dtmData ordered_output
8/1/2017 1
8/2/2017 2
8/3/2017 3
8/4/2017 4
8/5/2017 5
8/6/2017 6
EDIT: Asker clarified that all records with the same month should get the same ordered output.
To do that you first need to assign each month/year combo a rank and rejoin that to the main table using two layers of subqueries:
SELECT b.*, c.month_rank
from Mov_Venda_Cab as b
inner join
(select mnt, yr, ROW_NUMBER() OVER(ORDER BY A.yr, A.mnt) AS month_rank
from (
SELECT DISTINCT
MONTH(dtmData) as mnt
, YEAR(dtmData) as yr
from Mov_Venda_Cab
WHERE cast(dtmData as datetime) >= getdate() - 365
) as a
) as c
on MONTH(b.dtmData) = c.mnt and YEAR(b.dtmData) = c.yr