oracle中,如何将两个字段数据合并成一个字段显示,接下来看一下在sql server和pl/sql的区别
sql server中如何合并(用Cast()函数)
--1、创建模拟的数据表---
create table GoodsCate(
Mid int not null,
Code varchar(10) not null,
Name varchar(20) not null,
)
--2、添加模拟数据--
insert into GoodsCate(Mid,Code,Name) values(1,'','电子仪器')
insert into GoodsCate(Mid,Code,Name) values(2,'','激光仪器')
insert into GoodsCate(Mid,Code,Name) values(3,'','扫描仪器')
--3、未合并的结果--
select * from GoodsCate
--4、sqlserver中的合并--
select (CAST(Code as varchar(20))+'_'+CAST(Name as varchar(20))) 合并结果集 from GoodsCate
最后结果显示
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" 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那么,在oracle中如何合并数据(用Concat()函数)
--1、创建模拟的数据表 ---
create table GoodsCate(
MID INTEGER not null,
CODE NVARCHAR2(100) not null,
NAME NVARCHAR2(100) not null
)
--2 、添加模拟数据 --
insert into GoodsCate(Mid,Code,Name) values(1,'','电子仪器')
insert into GoodsCate(Mid,Code,Name) values(2,'','激光仪器')
insert into GoodsCate(Mid,Code,Name) values(3,'','扫描仪器')
--3 、未合并的结果 --
select * from GoodsCate
--4 、oracle 中的合并--
select (Concat(Concat(CODE,'_'),NAME)) 合并结果集 from GoodsCate
结果显示
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" alt="" />
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W74Keve/V6Fk2caKN3Abu7gT6dl6x7pV2HDja1rAOwWNa9egzGadwlPvASjLu8at0rQ+bcp/cAifuzWNa9ehjH5VeBbrvulbSHsh+ZhzXfz+gy5dE+nTn/Qo/Fi2XdqxfrTebpzNMqVtlF0xNE/HwfoiBtUMu6V4VFR5LGVlebBQ302j1R4UjeXBCgo6x79V0slnWvHtcjLG77g6oVQuW3V2+u1SwWFe2iwmLRUVRYLDqKCotFR1FhsegoKiwWHUWFxaKjqLBYdBQVFouOosJi0VFUWCw6igqLRUfR/wEZtqmEktd9oQAAAABJRU5ErkJggg==" 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