虽然MySQL里的存储引擎不只是MyISAM与InnoDB这两个,但常用的就是它俩了。可能有站长并未注意过MySQL的存储引擎,其实存储引擎也是数据库设计里的一大重要点,那么博客系统应该使用哪种存储引擎呢?下面我们分别来看两种存储引擎的区别。
MySQL存储引擎MyISAM与InnoDB的区别
一、InnoDB支持事务,MyISAM不支持,这一点是非常之重要。事务是一种高级的处理方式,如在一些列增删改中只要哪个出错还可以回滚还原,而MyISAM就不可以了。
二、MyISAM适合查询以及插入为主的应用,InnoDB适合频繁修改以及设计到安全性就高的应用
三、InnoDB支持外键,MyISAM不支持
四、MyISAM是默认引擎,InnoDB需要指定
五、InnoDB不支持FULLTEXT类型的索引
六、InnoDB中不保存表的行数,如select count(*) from table时,InnoDB需要扫描一遍整个表来计算有多少行,但是MyISAM只要简单的读出保存好的行数即可。注意的是,当count(*)语句包含where条件时MyISAM也需要扫描整个表
七、对于自增长的字段,InnoDB中必须包含只有该字段的索引,但是在MyISAM表中可以和其他字段一起建立联合索引
八、清空整个表时,InnoDB是一行一行的删除,效率非常慢。MyISAM则会重建表
九、InnoDB支持行锁(某些情况下还是锁整表,如 update table set a=1 where user like '%lee%'
通过以上九点区别,结合个人博客的特点,推荐个人博客系统使用MyISAM,因为在博客里主要操作是读取和写入,很少有链式操作。所以选择MyISAM引擎使你博客打开也页面的效率要高于InnoDB引擎的博客,当然只是个人的建议,大多数博客还是根据实际情况下谨慎选择。我的小站目前就使用MyISAM引擎!

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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