SQL学习之Insert的特殊用法(插入检索出的数据,表之间的数据复制)

1、插入检索出的数据

select * from dbo.Customers_1

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" 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现在有个需求,需要将这张Customers_1表的数据合并到Customers_2表中,下面是解决代码:

insert into dbo.Customers_2(Company,Name,Province)
select Company,Name,Province
from dbo.Customers_1

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" alt="" />

ok,完成需求!

注意,这边可以通过Where和Group By等过滤数据在在进行插入,只要指定好需要插入的列和检索的列对应,且对应插入表的非插入列允许为空就可以!

insert into dbo.Customers_2(Company)
select Company
from dbo.Customers_1 group by Company

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" alt="" />

2、表之间的数据复制

select *  into test from Customers_2
select * from test

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" alt="" />

分析下第一行代码的执行流程,这条SELECT语句创建了一个名为test 的新表,并把Customers_2表的整个内容复制到新表中,因为这里使用的是Select *,所以将整个Customers_2表的内容都复制到了test表中,如果需要赋值部分列,可以明确给出列名,而不是使用*通配符。

在使用SELECT INTO复制表时,需要知道一些事情:

(1)任何SELECT选项和子句都可以使用,包括WHERE和GROUP BY;

(2)可利用联结从多个表中插入数据;

(3)不管从多少个表中检索数据,数据只能插入一个表;

注意:SELECT INTO 是试验新SQL语句前进行表赋值的很好的工具。在复制的数据上测试SQL代码,而不会影响实际的数据。

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