要从查询结果填充表,请使用以下语法:
INSERT yourTableName(yourColumnName1,yourColumnName2,yourColumnName3,..........N) SELECT yourColumnName1,yourColumnName2,yourColumnName3,..........N FROM yourAnotherTableName;
为了理解上述语法,让我们创建一个表。第一个表如下,并带有一些记录。创建表的查询如下:
mysql> create table PopulateTableDemo -> ( -> Id int NOT NULL AUTO_INCREMENT, -> Name varchar(20), -> Amount int, -> ArrivalDateTime datetime, -> PRIMARY KEY(Id) -> );
现在,您可以使用insert命令在表中插入一些记录。查询如下:
mysql> create table PopulateTableDemo -> ( -> Id int NOT NULL AUTO_INCREMENT, -> Name varchar(20), -> Amount int, -> ArrivalDateTime datetime, -> PRIMARY KEY(Id) -> );
使用insert命令在表中插入一些记录。查询如下:
mysql> insert into PopulateTableDemo(Name,Amount,ArrivalDateTime) values('John',456,'2018-02-4'); mysql> insert into PopulateTableDemo(Name,Amount,ArrivalDateTime) values('Carol',1000,'2019-10-21'); mysql> insert into PopulateTableDemo(Name,Amount,ArrivalDateTime) values('Sam',970,'2019-07-25'); mysql> insert into PopulateTableDemo(Name,Amount,ArrivalDateTime) values('Larry',1050,'2015-10-28');
使用select语句显示表中的所有记录。查询如下:
mysql> select *from PopulateTableDemo;
以下是输出:
+----+-------+--------+---------------------+ | Id | Name | Amount | ArrivalDateTime | +----+-------+--------+---------------------+ | 1 | John | 456 | 2018-02-04 00:00:00 | | 2 | Carol | 1000 | 2019-10-21 00:00:00 | | 3 | Sam | 970 | 2019-07-25 00:00:00 | | 4 | Larry | 1050 | 2015-10-28 00:00:00 | +----+-------+--------+---------------------+ 4 rows in set (0.00 sec)
现在,您可以创建第二个表,并从上表中填充值。创建第二个表的查询如下:
mysql> create table PopulateQueryFromAnotherTable -> ( -> Id int NOT NULL AUTO_INCREMENT, -> UserName varchar(20), -> Salary int, -> DepartureDateTime datetime, -> PRIMARY KEY(Id) -> );
这是从第一个表PopulateTableDemo到PopulateQueryFromAnotherTable的值中填充值的查询:
mysql> insert PopulateQueryFromAnotherTable(UserName,Salary,DepartureDateTime) -> select Name,Amount,ArrivalDateTime from PopulateTableDemo; Records: 4 Duplicates: 0 Warnings: 0
现在,使用select语句检查第二个表记录。查询如下:
mysql> select *from PopulateQueryFromAnotherTable;
以下是输出:
+----+----------+--------+---------------------+ | Id | UserName | Salary | DepartureDateTime | +----+----------+--------+---------------------+ | 1 | John | 456 | 2018-02-04 00:00:00 | | 2 | Carol | 1000 | 2019-10-21 00:00:00 | | 3 | Sam | 970 | 2019-07-25 00:00:00 | | 4 | Larry | 1050 | 2015-10-28 00:00:00 | +----+----------+--------+---------------------+ 4 rows in set (0.00 sec)