sqlserver 查询出的数据做分割之后,进行排序
此方案对应的问题:
目前项目中存在着这样的编码:1, 1.1.1,1.1.1.1 2 2.1 2.1.1 .... 这样的数据,层级随意,深度随意。然后数据可以进行插入删除,之后要进行重新排序,目前只能按照编码进行排序,所以产生了如下的sql
-----分解函数 CREATE FUNCTION dbo.Split( @String varchar(8000), @Delimiter char(1)) returns @temptable TABLE (items varchar(8000),splitLevel int ) as begin declare @idx int declare @slice varchar(8000) declare @index int set @index=0 select @idx=1 if len(@String)<1 or @String is null return while @idx!=0 begin set @idx=charindex(@Delimiter,@String) if @idx!=0 set @slice=left(@String,@idx-1) else set @slice=@String if(len(@slice)>0) set @index=@index+1; insert into @temptable(Items,splitLevel) values(@slice,@index) set @String=right(@String,len(@String) -@idx) if len(@String) =0 break end return end go --创建临时表 create table #test ( testid varchar(30), splitValue varchar(300), sindex int ); insert into #test(testid,splitValue,sindex) values('1','1',1) insert into #test(testid,splitValue,sindex) values('1','1.1',1) insert into #test(testid,splitValue,sindex) values('1','2',1) insert into #test(testid,splitValue,sindex) values('1','2.1',1) insert into #test(testid,splitValue,sindex) values('1','2.1.2',1) insert into #test(testid,splitValue,sindex) values('1','3.1',1) insert into #test(testid,splitValue,sindex) values('1','3.1.1',1) insert into #test(testid,splitValue,sindex) values('1','3.1.1.1',1) insert into #test(testid,splitValue,sindex) values('1','3.1.1.1.1',1) insert into #test(testid,splitValue,sindex) values('1','3.2.1.1',1) insert into #test(testid,splitValue,sindex) values('1','3.1.2.1',1) insert into #test(testid,splitValue,sindex) values('1','3.1.1.2',1) insert into #test(testid,splitValue,sindex) values('1','3.1.1.3',1) insert into #test(testid,splitValue,sindex) values('1','10',1) insert into #test(testid,splitValue,sindex) values('1','10.1',1) insert into #test(testid,splitValue,sindex) values('1','100.10',1) ---执行查询与分解 select items 'SalesOffice',splitLevel,testid,splitValue from #test CROSS apply dbo.split(#test.splitValue,'.') --释放临时数据 drop FUNCTION dbo.Split; drop table #test;