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MySQL截取字符串函数的方法 今天建视图时,用到了MySQL中的字符串截取,很是方便。 感觉上MySQL的字符串函数截取字符,比用程序截取(如PHP或JAVA)来得强大,所以在这里做一个记录,希望对大家有用。 函数: 1、从左开始截取字符串 left(str, length) 说明:left(被截取字段,截取长度) 例:select left(content,200) as abstract from my_content_t 2、从右开始截取字符串 right(str, length) 说明:right(被截取字段,截取长度) 例:select right(content,200) as abstract from my_content_t 3、截取字符串 substring(str, pos) substring(str, pos, length) 说明:substring(被截取字段,从第几位开始截取) substring(被截取字段,从第几位开始截取,截取长度) 例:select substring(content,5) as abstract from my_content_t select substring(content,5,200) as abstract from my_content_t (注:如果位数是负数 如-5 则是从后倒数位数,到字符串结束或截取的长度) 4、按关键字截取字符串 substring_index(str,delim,count) 说明:substring_index(被截取字段,关键字,关键字出现的次数) 例:select substring_index(”blog.cnblogs.com”,”。”,2) as abstract from my_content_t 结果:blog.cnblogs (注:如果关键字出现的次数是负数 如-2 则是从后倒数,到字符串结束) 结果:cnblogs.com bitsCN.com

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

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.


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