mysql中表的复制

本文主要是介绍mysql中表的复制，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！

表的复制

语法：
····create table 表名 as select 语句；

·····将查询结果当做表创建出来。

例：

mysql> show tables;
+-----------------------+
| Tables_in_bjpowernode |
+-----------------------+
| dept                  |
| emp                   |
| salgrade              |
| t_student             |
+-----------------------+
4 rows in set (0.01 sec)


mysql> create table dept1 as select * from dept;
Query OK, 4 rows affected (0.02 sec)
Records: 4  Duplicates: 0  Warnings: 0

mysql> show tables;
+-----------------------+
| Tables_in_bjpowernode |
+-----------------------+
| dept                  |
| dept1                 |
| emp                   |
| salgrade              |
| t_student             |
+-----------------------+
5 rows in set (0.00 sec)

mysql> select * from dept1;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
+--------+------------+----------+
4 rows in set (0.00 sec)

将查询结果插入到一张表中：

mysql> select * from dept1;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
+--------+------------+----------+
4 rows in set (0.00 sec)

mysql> insert into dept1 select * from dept;
Query OK, 4 rows affected (0.00 sec)
Records: 4  Duplicates: 0  Warnings: 0

mysql> select * from dept1;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
+--------+------------+----------+
8 rows in set (0.00 sec)

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