搞了一个多小时者在网上查阅总结的实践成功MariaDB绿色版的服务注册及密码的修改,下面分享出来,请大家勿喷。 MySQL Maria MariaDB 1、初始化与创建WINDOWS服务 mysql_install_db.exe --datadir=D:\mariadb-10.0.16-win32 --service=MySql --password=dsidea
搞了一个多小时者在网上查阅总结的实践成功MariaDB绿色版的服务注册及密码的修改,下面分享出来,请大家勿喷。 MySQL Maria MariaDB1、初始化与创建WINDOWS服务 mysql_install_db.exe --datadir=D:\mariadb-10.0.16-win32 --service=MySql --password=dsideal 2、启动服务 sc start MySql 3、删除服务 sc stop MySql sc delete MySql rmdir /s /q D:\mariadb-10.0.16-win32 4、修改默认登录密码 1)在windows下的对应目录找到my.ini文件,键入内容skip-grant-tables保存。 2)重启服务 net stop MySql net start MySql 3)登录数据库:mysql -uroot -p ,出现“Enter password:”时直接回车。 4)在MariaDB数据库,进入时需要切换用户:use mysql; 5)修改密码:update user set password=PASSWORD("newpass")where user="root";注:这里修改的是localhost下root用户的密码,在数据库管理工具中,数据库/IP这一项填写localhost. 6)更新权限:flush privileges; 7)退出:quit; 8)修改my.ini文件,去掉内容skip-grant-tables后保存。 9)重启服务 net stop MySql net start MySql 5、登录数据库: mysql -uroot -p Enter password:sy31214 use mysql 切换用户(myqql表示自带的数据库) select * from user; 调试是否能正确查询

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

The situations when choosing InnoDB instead of MyISAM include: 1) transaction support, 2) high concurrency environment, 3) high data consistency; conversely, the situation when choosing MyISAM includes: 1) mainly read operations, 2) no transaction support is required. InnoDB is suitable for applications that require high data consistency and transaction processing, such as e-commerce platforms, while MyISAM is suitable for read-intensive and transaction-free applications such as blog systems.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.

There are four main index types in MySQL: B-Tree index, hash index, full-text index and spatial index. 1.B-Tree index is suitable for range query, sorting and grouping, and is suitable for creation on the name column of the employees table. 2. Hash index is suitable for equivalent queries and is suitable for creation on the id column of the hash_table table of the MEMORY storage engine. 3. Full text index is used for text search, suitable for creation on the content column of the articles table. 4. Spatial index is used for geospatial query, suitable for creation on geom columns of locations table.

TocreateanindexinMySQL,usetheCREATEINDEXstatement.1)Forasinglecolumn,use"CREATEINDEXidx_lastnameONemployees(lastname);"2)Foracompositeindex,use"CREATEINDEXidx_nameONemployees(lastname,firstname);"3)Forauniqueindex,use"CREATEU

The main difference between MySQL and SQLite is the design concept and usage scenarios: 1. MySQL is suitable for large applications and enterprise-level solutions, supporting high performance and high concurrency; 2. SQLite is suitable for mobile applications and desktop software, lightweight and easy to embed.

Indexes in MySQL are an ordered structure of one or more columns in a database table, used to speed up data retrieval. 1) Indexes improve query speed by reducing the amount of scanned data. 2) B-Tree index uses a balanced tree structure, which is suitable for range query and sorting. 3) Use CREATEINDEX statements to create indexes, such as CREATEINDEXidx_customer_idONorders(customer_id). 4) Composite indexes can optimize multi-column queries, such as CREATEINDEXidx_customer_orderONorders(customer_id,order_date). 5) Use EXPLAIN to analyze query plans and avoid

Using transactions in MySQL ensures data consistency. 1) Start the transaction through STARTTRANSACTION, and then execute SQL operations and submit it with COMMIT or ROLLBACK. 2) Use SAVEPOINT to set a save point to allow partial rollback. 3) Performance optimization suggestions include shortening transaction time, avoiding large-scale queries and using isolation levels reasonably.


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