MySQL是不支持SELECT … INTO语法的,使用INSERT INTO … SELECT替代相同用法,下面我们我们这里简答分一下新表存在和不存在两种情况,具体使用不同的语句。
1.新表不存在
复制表结构即数据到新表
create table new_table select * from old_talbe;
这种方法会将old_table中所有的内容都拷贝过来,用这种方法需要注意,new_table中没有了old_table中的primary key,Extra,auto_increment等属性,需要自己手动加,具体参看后面的修改表即字段属性.
只复制表结构到新表
# 第一种方法,和上面类似,只是数据记录为空,即给一个false条件 create table new_table select * from old_table where 1=2; # 第二种方法 create table new_table like old_table;
2.新表存在
复制旧表数据到新表(假设两个表结构一样)
insert into new_table select * from old_table;
复制旧表数据到新表(假设两个表结构不一样)
insert into new_table(field1,field2,.....) select field1,field2,field3 from old_table;
复制全部数据
select * into new_table from old_table;
只复制表结构到新表
select * into new_talble from old_table where 1=2;
3.实例
(1)表不存在复制
mysql>show tables; +-----------------+ |Tables_in_test1 | +-----------------+ |cpu_stat | |test1 | |test2 | |test3 | +-----------------+ 4rows in set (0.02 sec) mysql> create tabletest4 as select * from test1 where 1=0; //仅复制表结构 QueryOK, 0 rows affected (0.06 sec) Records:0 Duplicates: 0 Warnings: 0 mysql> create tabletest5 as select * from test1; //把表test1所有内容复制为test5 QueryOK, 7 rows affected (0.11 sec) Records:7 Duplicates: 0 Warnings: 0
(2)表已经存在复制
mysql> create table test6(id int not null auto_increment primary key, name varchar(20)); Query OK, 0 rows affected (0.13 sec) mysql> insert into test6(name) select name from test1; //只复制name列 Query OK, 7 rows affected (0.06 sec) Records: 7 Duplicates: 0 Warnings: 0 mysql> select * from test6; +----+-------+ | id | name | +----+-------+ | 1 | wu | | 2 | terry | | 3 | tang | …… 7 rows in set (0.00 sec)

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The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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