Du skal bare opdele kolonnerne efter at have udført UNPIVOT
noget som dette:
WITH Unpivoted
AS
(
SELECT region, lob, columns, value
FROM Regions
UNPIVOT
(
columns
FOR value IN([GWP 2013] , [GWP 2014] ,
[LR 2013] , [LR 2014] ,
[GWP 2015], [LR 2015])
) AS u
)
SELECT
region,
lob,
columns,
CAST(CASE WHEN value LIKE 'GWP%' THEN REPLACE(value,'GWP ', '')
WHEN value LIKE 'LR%' THEN REPLACE(value,'LR ', '')
END AS INT) AS Year,
CASE WHEN value LIKE 'GWP%' THEN 'GWP'
WHEN value LIKE 'LR%' THEN 'LR'
END AS Metrics
FROM Unpivoted;
Og så skal du selvfølgelig gøre det dynamisk for at undgå at angive kolonnerne manuelt og gøre det dynamisk:
DECLARE @cols AS NVARCHAR(MAX);
DECLARE @query AS NVARCHAR(MAX);
select @cols = STUFF((SELECT distinct ',' +
QUOTENAME(column_name)
FROM information_schema.columns
WHERE table_name = 'Regions'
AND COLUMN_NAME <> 'Region'
AND COLUMN_NAME <> 'LOB'
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
SELECT @query = 'WITH Unpivoted
AS
(
SELECT region, lob, columns, value
FROM Regions
UNPIVOT
(
columns
FOR value IN('+ @cols + ')
) AS u
)
SELECT
region,
lob,
columns,
CAST(CASE WHEN value LIKE ''GWP%'' THEN REPLACE(value,''GWP '', '''')
WHEN value LIKE ''LR%'' THEN REPLACE(value,''LR '', '''')
END AS INT) AS Year,
CASE WHEN value LIKE ''GWP%'' THEN ''GWP''
WHEN value LIKE ''LR%'' THEN ''LR''
END AS Metrics
FROM Unpivoted';
EXECUTE(@query);
Dette burde fungere fint, forudsat at:
- Alle kolonnerne
[GWP 2013] , [GWP 2014] , [LR 2013] , [LR 2014] , [GWP 2015], [LR 2015], ... etc
er i samme format (GWP eller LR derefter mellemrum og derefter året og -
Alle kolonnerne er af samme datatype
int
eller decimal, hvis datatyperne ikke er de samme, skal du caste dem alle til én datatype, før du udførerunpivot
ellers får du en fejl.
Dette vil give dig:
| region | lob | columns | Year | Metrics |
|--------|---------|----------|------|---------|
| North | Workers | 38902.5 | 2013 | GWP |
| North | Workers | 37972404 | 2014 | GWP |
| North | Workers | 70 | 2015 | GWP |
| North | Workers | 89 | 2013 | LR |
| North | Workers | 82 | 2014 | LR |
| North | Workers | 80 | 2015 | LR |
Opdatering:
Jeg brugte FOR XML PATH('') ..
at sammenkæde alle listen over værdier i én streng, er det et problem i SQL Server at gøre det. Værdien af @cols
vil være strengen:[GWP 2013], [GWP 2014], ...
.
Hvis dine felters datatype er forskellige, skal du foretage casting af alle de kolonner, der vil blive unpivoted i ankerforespørgslen, før du udfører UNPVOT
sådan her:
SELECT @query = 'WITH Unpivoted
AS
(
SELECT region, lob, columns, value
FROM
(
SELECT
region,
lob,
CAST([GWP 2013] AS DECIMAL(10,2)) AS [GWP 2013],
CAST([GWP 2014] AS DECIMAL(10,2)) AS [GWP 2014],
... etc
FROM Regions
) AS t
UNPIVOT
(
columns
FOR value IN('+ @cols + ')
) AS u
)
SELECT
region,
lob,
columns,
CAST(CASE WHEN value LIKE ''GWP%'' THEN REPLACE(value,''GWP '', '''')
WHEN value LIKE ''LR%'' THEN REPLACE(value,''LR '', '''')
END AS INT) AS Year,
CASE WHEN value LIKE ''GWP%'' THEN ''GWP''
WHEN value LIKE ''LR%'' THEN ''LR''
END AS Metrics
FROM Unpivoted';
Hvis du fandt det svært at skrive castet for alle kolonnerne manuelt, kan du generere det dynamisk og tilføje det i stedet, for eksempel:
DECLARE @colsCasted AS NVARCHAR(MAX);
select @colsCasted = STUFF((SELECT distinct ',' +
'CAST(' + QUOTENAME(column_name) + 'AS DECIMAL(10,2)) AS ' + QUOTENAME(column_name)
FROM information_schema.columns
WHERE table_name = 'Regions'
AND COLUMN_NAME <> 'Region'
AND COLUMN_NAME <> 'LOB'
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
I den dynamiske forespørgsel skal du tilføje denne værdi:
SELECT @query = 'WITH Unpivoted
AS
(
SELECT region, lob, columns, value
FROM
(
SELECT region, lob,
' + @colsCasted + '
FROM Regions
) AS t
UNPIVOT
(
columns
FOR value IN('+ @cols + ')
) AS u
)
SELECT
region,
lob,
columns,
CAST(CASE WHEN value LIKE ''GWP%'' THEN REPLACE(value,''GWP '', '''')
WHEN value LIKE ''LR%'' THEN REPLACE(value,''LR '', '''')
END AS INT) AS Year,
CASE WHEN value LIKE ''GWP%'' THEN ''GWP''
WHEN value LIKE ''LR%'' THEN ''LR''
END AS Metrics
FROM Unpivoted';
EXECUTE(@query);