bitsCN.com
在做维护的时候,有一天有这样的客户给我发了一个网址,说连接不了,然后我检查了一下是他的数据库超容了,要删除一些数据才会正常,但是还有的是一些没有权限也会这样的问题。 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ERROR 1045 (28000): Access denied for user 'sq8xxxxx'@'locahost'(using password:YES) 1:打开开始里MYSQL的MySQL Command Line Client 输入你的密码[就是安装时设的那个]
2:在mysql>后输入:UPDATE mysql.user SET Password = OLD_PASSWORD('密码')
3:在提示符-> 后输入:WHERE Host = 'localhost' AND User = '用户名'; 回车后提示:Query OK, 0 rows affected (0.16 sec) Rows matched: 0 Changed: 0 Warnings: 0 4:在mysql>后输入:FLUSH PRIVILEGES; 回车后提示:Query OK, 0 rows affected (0.19 sec) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 启动mysql服务,登录到mysql数据库, 输入命令为: [root @localhost root]# /usr/bin/mysql -u sq8xxxx -p * (依据lniux版本兼容问题,-p 后面输入的内容将有所不同) -p: 数据库管理员sq8xxxx的密码 (一般输入该密码) -p: 指定将使用的数据库名 而后 ,Enter password:在这里输入数据库的密码 (redhat 9.0版本) 在redhat 9.0版本下,如果 直接输入数据库管理员root的密码,将出现1045错误.对于上面提供的方法,在使用的过程中感觉麻烦,故停止验证。其实,还是一句话,版本兼容问题。在9.0下使用myisamchk 和 service mysqld start便可知道。 作者 zhangzhengxing bitsCN.com

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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