我创建了一个透视查询，希望交叉应用的动态“列”以特定方式排序，而不会。
这是如何返回动态“列”的方式： [Cd-Conc] [Cd-RL] [Cd-Q] [Cd-MDL]
这是我希望他们返回的方式： [Cd-Conc] [Cd-Q] [Cd-MDL] [Cd-RL]
虽然我尝试如上所述获得排序顺序，但查询仅限于一种分析物“ Cd”，但不一定知道分析物的总数。我希望它们按分析物的浓度，q，mdl和rl排序，因此看起来像[Cd-Conc] [Cd-Q] [Cd-MDL] [Cd-RL] [Se-Conc] [Se-Q] [Se-MDL] [Se-RL] [Zr-Conc] [Zr-Q] [Zr-MDL] [Zr-RL]等
这是我的代码：
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
--
-- This variable holds the field values that will pivot to become column headers.
--
DECLARE @cols nvarchar(max);
--
-- This variable holds the dynamic pivot query.
--
DECLARE @query nvarchar(max);
--
-- First, we need to get the dynamic 'columns'. We do this by replicating
-- the FROM and WHERE clause that will show up in the pivot query. In the
-- SELECT, we only need to create the dynamic 'columns'. We must replicate
-- the FROM and WHERE clause or we'll end up with all rows from AN.[abbreviation].
--
-- This query is inside the STUFF function, which can build a string without
-- resorting to looping constructs.
--
-- The QUOTENAME function wraps a string in brackets, e.g. my_col becomes [my_col].
--
-- The end result of this is we get a comma-separated string of the form:
-- [Ag],[As], ...
--
SELECT @cols = STUFF
(
(
SELECT DISTINCT
',' + QUOTENAME(AN.[abbreviation] + col)
FROM
[project] P
INNER JOIN [monitoring_event_type] MET ON P.[id] = MET.[project_id]
INNER JOIN [monitoring_event] ME ON MET.[id] = ME.[event_type_id]
INNER JOIN [sample] S ON ME.[id] = S.[event_id]
INNER JOIN [location] L ON L.[id] = S.[location_id]
INNER JOIN [analysis] A ON A.[sample_id] = S.[id]
INNER JOIN [result] R ON R.[analysis_id] = A.[id]
INNER JOIN [result_qualifier] RQ ON RQ.[id] = R.[id]
LEFT JOIN [result_validation] RV ON RV.[id] = R.[id]
LEFT JOIN [sample_type] ST ON ST.[id] = R.[sample_type_id]
INNER JOIN [analyte] AN ON AN.[id] = R.[analyte_id]
LEFT JOIN [parameter_type] PT ON PT.[id] = AN.[parameter_type_id]
LEFT JOIN [unit] U ON U.[id] = R.[unit_id]
LEFT JOIN [analyte_fraction] ANF ON ANF.[id] = R.[analyte_fraction_id]
LEFT JOIN [organization] O1 ON O1.[id] = S.[sampler_id]
LEFT JOIN [organization] O2 ON O2.[id] = A.[lab_id]
LEFT JOIN [analysis_method] AM ON AM.[id] = A.[analysis_method_id]
CROSS APPLY
(
SELECT ' - Conc',1 UNION ALL
SELECT ' - Q',2 UNION ALL
SELECT ' - MDL' ,3 UNION ALL
SELECT ' - RL', 4 --Do not use UNION ALL on the last line
) AS c (col,so)
WHERE
P.id = 6
AND S.sample_source = 'Field'
AND AN.abbreviation in('Cd')
-- AND AN.abbreviation in('Ba', 'Cd','Se','Zr')
--Adding FOR XML PATH to the end of a query allows you to output the results of the query as XML elements, with the element name contained in the PATH argument.
FOR XML PATH,TYPE
).value('.[1]','nvarchar(max)'), 1, 1, ''
); -- END of STUFF function
--
-- Now we build the dynamic query using @cols variable where needed.
--
SET @query = '
SELECT
pvt.[EventName]
,pvt.[Location]
,pvt.[FieldSampleID]
,pvt.[DateCollected]
,'+ @cols +'
FROM
(
SELECT
ME.event_name AS [EventName]
,O2.organization_name AS [LAB]
,A.sdg AS [SDG]
,L.name_or_geocode AS [Location]
,ST.type AS [SampleType]
,A.lab_sample_ident AS [LabSampleID]
,S.sample_ident AS [FieldSampleID]
,CAST(S.monitoring_date as Date) AS [DateCollected]
--
-- The following two fields represent the pivot parameters
--
,col = AN.[abbreviation] + col
,val
FROM [project] P
INNER JOIN [monitoring_event_type] MET ON P.[id] = MET.[project_id]
INNER JOIN [monitoring_event] ME ON MET.[id] = ME.[event_type_id]
INNER JOIN [sample] S ON ME.[id] = S.[event_id]
INNER JOIN [location] L ON L.[id] = S.[location_id]
INNER JOIN [analysis] A ON A.[sample_id] = S.[id]
INNER JOIN [result] R ON R.[analysis_id] = A.[id]
INNER JOIN [result_qualifier] RQ ON RQ.[id] = R.[id]
LEFT JOIN [result_validation] RV ON RV.[id] = R.[id]
LEFT JOIN [sample_type] ST ON ST.[id] = R.[sample_type_id]
INNER JOIN [analyte] AN ON AN.[id] = R.[analyte_id]
LEFT JOIN [parameter_type] PT ON PT.[id] = AN.[parameter_type_id]
LEFT JOIN [unit] U ON U.[id] = R.[unit_id]
LEFT JOIN [analyte_fraction] ANF ON ANF.[id] = R.[analyte_fraction_id]
LEFT JOIN [organization] O1 ON O1.[id] = S.[sampler_id]
LEFT JOIN [organization] O2 ON O2.[id] = A.[lab_id]
LEFT JOIN [analysis_method] AM ON AM.[id] = A.[analysis_method_id]
CROSS APPLY
(
SELECT '' - Conc'',CAST(R.[VALUE] AS varchar(20)) UNION ALL
SELECT '' - Q'',CAST(RQ.[qualifiers] AS varchar(20)) UNION ALL
SELECT '' - MDL'',CAST(RQ.[MDL] AS varchar(20)) UNION ALL
SELECT '' - RL'',CAST(RQ.[RL] AS varchar(20)) --Do not use UNION ALL on the last line
) AS c (col,val)
WHERE
P.id = 6
AND S.sample_source = ''Field''
AND AN.abbreviation in(''Cd'')
--AND AN.abbreviation in(''Ba'', ''Cd'',''Se'',''Zr'')
) AS t
PIVOT
(
Max(t.[val])
FOR col IN ('+ @cols +')
)AS pvt
ORDER BY pvt.[EventName], pvt.[Location];
';
--
-- Execute the sql string contained in @query.
--
--Print @query
EXECUTE(@query);
--Select (@query);
答案 0 :(得分：0)
在创建SO的查询中，在ORDER BY中使用@cols列。