[英]TSQL - Pivot multiple columns
在旋轉多個列時,我需要有關查詢的幫助,基本上,我只需要一個簡單的查詢,就無法解決這個問題,希望有人可以幫助我。
非透視:
MTH ID TEAM Metric_ID Score Outcome_Score
1/10/2016 abc11 teamA ID_1 292 3
1/11/2016 abc11 teamA ID_1 300 0
1/10/2016 abc11 teamA ID_10 100 0
1/11/2016 abc11 teamA ID_10 84 0
1/10/2016 abc11 teamA ID_11 11% 0
1/11/2016 abc11 teamA ID_11 12% 0
成為:
LANID TEAM Metric_ID Oct_Score Oct_Outcome_Score Nov_Score Nov_Outcome_Score
abc11 teamA ID_1 292 3 300 0
abc11 teamA ID_10 100 0 84 0
abc11 teamA ID_11 11% 0 12% 0
我在下面提出了建議,但是每次我添加“結果”字段時,都會使查詢完全混亂。 實際查詢更為復雜。 我只需要主意。 謝謝。
SELECT ID AS LANID, Team, Metric_ID
, CONVERT(varchar(3), MTH, 100) SMTH
, Oct_Score
, Oct_Outcome_Score
, Nov_Score
, Nov_Outcome_Score
FROM TableA
PIVOT
(
SUM(Score)
FOR SMTH IN (Oct_Score, Nov_Score)
) AS P
這應該工作:
WITH Src AS
(
SELECT * FROM (VALUES
('1/10/2016', 'abc11', 'teamA', 'ID_1 ', 292, 3),
('1/11/2016', 'abc11', 'teamA', 'ID_1 ', 300, 0),
('1/10/2016', 'abc11', 'teamA', 'ID_10', 100, 0),
('1/11/2016', 'abc11', 'teamA', 'ID_10', 84, 0),
('1/10/2016', 'abc11', 'teamA', 'ID_11', 11, 0),
('1/11/2016', 'abc11', 'teamA', 'ID_11', 12, 0)
)T(MTH, ID, TEAM, Metric_ID, Score, Outcome_Score)
)
SELECT * FROM
(
SELECT ID, TEAM, Metric_ID, Value,
CASE WHEN DATEPART(M, MTH)=10 THEN 'Oct_'
WHEN DATEPART(M, MTH)=11 THEN 'Nov_' END+Col ToPivot
FROM
(SELECT CONVERT(date, MTH, 103) MTH, ID, TEAM, Metric_ID, Score, Outcome_Score FROM Src) T1
UNPIVOT (Value FOR Col IN (Score, Outcome_Score)) U1
) T
PIVOT (SUM(Value) FOR ToPivot IN (Oct_Score, Oct_Outcome_Score, Nov_Score, Nov_Outcome_Score)) P
結果:
ID TEAM Metric_ID Oct_Score Oct_Outcome_Score Nov_Score Nov_Outcome_Score
----- ----- --------- ----------- ----------------- ----------- -----------
abc11 teamA ID_1 292 3 300 0
abc11 teamA ID_10 100 0 84 0
abc11 teamA ID_11 11 0 12 0
要使用Dynamic Pivot,您可以使用以下查詢(“ Dynamic Pivot列名的順序不正確”)
CREATE Table #Item(id varchar(250),team varchar(250),Metric_ID varchar(20),col varchar(250),Score int)
;WITH Src AS(SELECT * FROM (VALUES ('10/1/2016', 'abc11', 'teamA', 'ID_1 ', 292, 3),('11/1/2016', 'abc11', 'teamA', 'ID_1 ', 300, 0),('10/1/2016', 'abc11', 'teamA', 'ID_10', 100, 0),('11/1/2016', 'abc11', 'teamA', 'ID_10', 84, 0),('10/1/2016', 'abc11', 'teamA', 'ID_11', 11, 0),('11/1/2016', 'abc11', 'teamA', 'ID_11', 12, 0))T(MTH,ID, TEAM, Metric_ID, Score, Outcome_Score))
INSERT INTO #Item
select ID,TEAM,Metric_ID,DateName(M, DateAdd(M, MONTH(MTH), -1))+'_Score',Score from Src
UNION ALL
select ID,TEAM,Metric_ID,DateName(M, DateAdd(M, MONTH(MTH), -1))+'_Outcome_Score',Outcome_Score from Src
DECLARE @Query AS NVARCHAR(MAX) DECLARE @ColumnName AS NVARCHAR(MAX)
SELECT @ColumnName= ISNULL(@ColumnName + ',','') + QUOTENAME(col)
FROM (SELECT DISTINCT col FROM #Item) AS ColName
SET @Query = N'SELECT ID,TEAM,Metric_ID ,' + @ColumnName + 'FROM #Item PIVOT(SUM(Score) FOR col IN (' + @ColumnName + ')) AS PVTTable'
EXEC sp_executesql @Query
Drop table #Item
終於,這解決了。 原因缺少“ GROUP BY”,因此數據取決於透視列的數量增加了一倍/兩倍。
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