请帮我编写一个选择查询,使用如下所示透视我的表
我的表结构
并且需要结果结构
StoryLineID PlotID StoryLine问题
1 1 01 question 1 1 1 02 question 2 1 1 03 question 3 1 1 04 question 4 1 1 05 question 5
答案 0 :(得分:3)
试试这个 -
DECLARE @temp TABLE
(
ID INT
, PlotID INT
, StoryLine_01 VARCHAR(10)
, StoryLine_02 VARCHAR(10)
, StoryLine_03 VARCHAR(10)
, StoryLine_04 VARCHAR(10)
, StoryLine_05 VARCHAR(10)
)
INSERT INTO @temp
VALUES
(1, 3, 'Q1', 'Q2', 'Q3', 'Q4', 'Q5'),
(2, 4, 'Q1', 'Q2', 'Q3', 'Q4', 'Q5')
SELECT
ID
, PlotID
, StoryLine = RIGHT(StoryLine, 2)
, Question
FROM @temp
UNPIVOT
(
Question FOR StoryLine IN (
StoryLine_01, StoryLine_02,
StoryLine_03, StoryLine_04,
StoryLine_05
)
) unpvt
更新(列的动态计数):
IF OBJECT_ID (N'dbo.temp') IS NOT NULL
DROP TABLE dbo.temp
CREATE TABLE dbo.temp
(
ID INT
, PlotID INT , StoryLine_01 VARCHAR(10)
, StoryLine_02 VARCHAR(10), StoryLine_03 VARCHAR(10)
, StoryLine_04 VARCHAR(10), StoryLine_05 VARCHAR(10)
)
INSERT INTO dbo.temp
VALUES (1, 3, 'Q1', 'Q2', 'Q3', 'Q4', 'Q5'), (2, 4, 'Q1', 'Q2', 'Q3', 'Q4', 'Q5')
DECLARE @SQL NVARCHAR(MAX)
SELECT @SQL = '
SELECT
ID
, PlotID
, StoryLine = RIGHT(StoryLine, 2)
, Question
FROM dbo.temp
UNPIVOT (
Question FOR StoryLine IN (
' + STUFF((
SELECT ', ' + name
FROM sys.columns WITH(NOWAIT)
WHERE [object_id] = OBJECT_ID('dbo.temp')
AND name LIKE 'StoryLine_%'
FOR XML PATH(''), TYPE).value('.', 'VARCHAR(MAX)'), 1, 2, '') +
')
) unpvt'
EXEC sys.sp_executesql @SQL
输出 -
ID PlotID StoryLine Question
----------- ----------- --------- ----------
1 3 01 Q1
1 3 02 Q2
1 3 03 Q3
1 3 04 Q4
1 3 05 Q5
2 4 01 Q1
2 4 02 Q2
2 4 03 Q3
2 4 04 Q4
2 4 05 Q5
答案 1 :(得分:2)
如果列数很大且总行数不是很大,则可以执行此常规查询,因此无法明确指定所有列名
;with CTE1 as (
select ID, PlotID, (select t.* for xml raw('row'), type) as Data
from @temp as t
), CTE2 as (
select
C.ID, C.PlotID,
F.C.value('local-name(.)', 'nvarchar(128)') as StoryLine,
F.C.value('.', 'nvarchar(max)') as Question
from CTE1 as c
outer apply c.Data.nodes('row/@*') as F(C)
)
select
ID, PlotID, replace(StoryLine, 'StoryLine_', '') as StoryLine, Question
from CTE2
where StoryLine like 'StoryLine[_]%'
sql fiddle demo(谢谢@Devart!)