创建数据库 最简单的方式: CREATE DATABASE my_db; 或者是: CREATE DATABASE IF NOT EXISTS my_db; 创建utf8编码的数据库: CREATE DATABASE IF NOT EXISTS my_db default character set utf8 COLLATE utf8_general_ci; 那么在这个数据库下创建的所有数据
创建数据库
最简单的方式:
CREATE DATABASE my_db;
或者是:
CREATE DATABASE IF NOT EXISTS my_db;
创建utf8编码的数据库:
CREATE DATABASE IF NOT EXISTS my_db default character set utf8 COLLATE utf8_general_ci;
那么在这个数据库下创建的所有数据表的默认字符集都会是utf8了,注意后面这句话 "COLLATE utf8_general_ci",大致意思是在排序时根据utf8变码格式来排序。
查看数据库列表:
show databases;
使用数据库:
use my_db;
查看数据库默认编码:
show variables like 'character_set_%'
+--------------------------+-------------------------------------------------------+
| Variable_name | Value |
+--------------------------+-------------------------------------------------------+
| character_set_client | utf8 |
| character_set_connection | utf8 |
| character_set_database | latin1 |
| character_set_filesystem | binary |
| character_set_results | utf8 |
| character_set_server | latin1 |
| character_set_system | utf8 |
| character_sets_dir | /usr/local/mysql-5.5.28-linux2.6-i686/share/charsets/ |
+--------------------------+-------------------------------------------------------+
可以看到character_set_database是lantin1.
修改数据库编码:
alter database my_db character set latin1;
删除数据库:
drop database my_db;
或者是:
drop database IF EXISTS my_db;

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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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