时间:2021-07-01 10:21:17 帮助过:9人阅读
1、行转列
现有数据:
期望数据:
1.1建表建数据
IF OBJECT_ID(‘temp_20170701‘,‘u‘) IS NOT NULL DROP TABLE temp_20170701 CREATE TABLE temp_20170701 ( ID INT PRIMARY KEY IDENTITY(1,1), NAME NVARCHAR(50), Subjectname NVARCHAR(50), Score INT ) INSERT dbo.temp_20170701( Name, subjectname, Score ) SELECT ‘A‘,‘语文‘,‘20‘ UNION SELECT ‘A‘,‘数学‘,‘30‘ UNION SELECT ‘A‘,‘英语‘,‘40‘ UNION SELECT ‘B‘,‘语文‘,‘50‘ UNION SELECT ‘B‘,‘数学‘,‘60‘ UNION SELECT ‘B‘,‘英语‘,‘70‘ UNION SELECT ‘C‘,‘语文‘,‘80‘ UNION SELECT ‘C‘,‘数学‘,‘90‘ UNION SELECT ‘C‘,‘英语‘,‘100‘ UNION SELECT ‘D‘,‘英语‘,‘100‘
1.2 .1 静态实现
SELECT Name , MAX(CASE WHEN subjectname=‘语文‘ THEN Score ELSE 0 END)语文 , MAX(CASE WHEN subjectname=‘数学‘ THEN Score ELSE 0 END)数学, MAX(CASE WHEN subjectname=‘英语‘ THEN Score ELSE 0 END)英语 FROM dbo.temp_20170701 GROUP BY Name
1.2.2 动态实现
DECLARE @sql varchar(500) SET @sql=‘select Name ‘ SELECT @sql=@sql+‘,max(case subjectname when ‘‘‘+subjectname+‘‘‘ then Score else 0 end)[‘+subjectname+‘]‘ FROM(SELECT DISTINCT subjectname FROM temp_20170701)a SET @sql=@sql+‘ from temp_20170701 group by Name‘ --SELECT @sql EXEC(@sql)
2、行转列 逗号隔开
现有数据如1的第一张图
期望数据:
2.1、使用xml path
SELECT Name ,Score=STUFF((SELECT ‘,‘+CONVERT(NVARCHAR(max),Score) FROM temp_20170701 t1 WHERE t1.NAME=t2.NAME FOR XML PATH(‘‘)),1,1,‘‘) FROM temp_20170701 t2 GROUP BY t2.NAME
2.2、使用 函数
CREATE FUNCTION [dbo].[HConvertL] ( @GroupId nvarchar(max) ) RETURNS [nvarchar](max) AS BEGIN DECLARE @ReturnValue [nvarchar](max) SET @ReturnValue = ‘‘ SELECT @ReturnValue=@ReturnValue + RTRIM(LTRIM(Score)) + ‘,‘ FROM temp_20170701 WHERE NAME = @GroupId SET @ReturnValue = ‘,‘+@ReturnValue --substring(@ReturnValue,1,len(@ReturnValue)-1) RETURN @ReturnValue END SELECT DISTINCT Name,dbo.[HConvertL](name) Score FROM temp_20170701
3、列转行
原始数据:
期望数据:
3.1建表建数据
IF OBJECT_ID(‘tempdb..#temp_20170701_02‘,‘U‘) IS NOT NULL DROP TABLE #temp_20170701_02 CREATE TABLE #temp_20170701_02 ( ID INT PRIMARY KEY IDENTITY(1,1), NAME NVARCHAR(50), 语文 INT NOT NULL DEFAULT 0, 数学 INT NOT NULL DEFAULT 0, 英语 INT NOT NULL DEFAULT 0 ) INSERT #temp_20170701_02( NAME, 语文, 数学, 英语 ) SELECT ‘A‘,20,30,40 UNION SELECT ‘B‘,50,60,70 UNION SELECT ‘C‘,80,90,100 UNION SELECT ‘D‘,100,0,0
3.2 使用UNPIVOT实现
SELECT Name , SubjectName , Score FROM #temp_20170701_02 UNPIVOT ( Score FOR SubjectName IN ( 语文, 数学, 英语 ) ) #temp_20170701_02
sql 行列互转
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