我有这样的查询结果:
Date User1 User2 User3 .... ---------------------------------- 1/1/2000 55 78 98 ... 1/1/2001 26 33 56 ... 1/1/2002 88 67 12 ...
列数未知,因为它是数据透视查询的结果。
我想将列的名称更改为如下所示:
Date User1 (blue) User2 (green) User3(brown)
颜色是我从另一个表中检索到的信息。
我怎样才能做到这一点?
谢谢
编辑:这是查询。
DECLARE @cols AS NVARCHAR(MAX), @query AS NVARCHAR(MAX) select @cols = STUFF((SELECT distinct ',' + QUOTENAME(C.Name) from [History] FOR XML PATH(''), TYPE ).value('.', 'NVARCHAR(MAX)') ,1,1,'') set @query = 'SELECT [Date],' + @cols +' from ( select [Date], Name, Value from [History] ) x pivot ( max(value) for Name in (' + @cols + ') ) p ' execute(@query)
模式设置 :
create table history (date datetime, name varchar(10), value int); insert history values ('20130101', 'user1', 123), ('20130101', 'user2', 124), ('20130101', 'user3', 125), ('20130102', 'user1', 223), ('20130102', 'user3', 223), ('20130103', 'user2', 323); create table colours (name varchar(10), colour_name varchar(10)); insert colours values ('user1', 'blue'), ('user2', 'green'), ('user3', 'brown');
查询 :
DECLARE @scols nvarchar(max), @cols AS NVARCHAR(MAX), @query AS NVARCHAR(MAX); select @cols = STUFF(( SELECT ',' + QUOTENAME(C.Name) from (select distinct name from [History]) C ORDER BY C.Name FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'),1,1,''); select @scols = STUFF(( SELECT ',' + QUOTENAME(Name) + ' AS ' + QUOTENAME(colour_Name) from (select distinct c.name, x.colour_name from [History] C JOIN colours x on x.name = c.name) y ORDER BY Name FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'),1,1,''); set @query = ' SELECT [Date],' + @scols +' from ( select [Date], Name, Value from [History] ) x pivot ( max(value) for Name in (' + @cols + ') ) p '; -- print @query --<< uncomment this line to see the query that gets generated exec (@query); | DATE | BLUE | GREEN | BROWN | ------------------------------------------------------------- | January, 01 2013 00:00:00+0000 | 123 | 124 | 125 | | January, 02 2013 00:00:00+0000 | 223 | (null) | 223 | | January, 03 2013 00:00:00+0000 | (null) | 323 | (null) |