InnoDB类型的数据表将表最后的ID值保存在内存里面。所以,当我们重新启动服务器后,内存里面的数据清空,那么自增的ID将重新按照
这是我同事的一个朋友遇到的问题,标题可能有些拗口,我重现下场景:
设置一张MySQL表,表里有一个自增主键ID,往表里插入数据,假如插入数据之后表最后一行的ID是100,我先删除这条ID为100的记录,然后重新启动服务器,按理说如果再往这个表里插入新的记录,新纪录的ID将为101,对吧?估计大家都是这么想的,,但是,结果是:如果你的表类型是InnoDB,那么,新纪录的ID为100;如果你的表类型是MyISAM,那么,新纪录的ID为101。但是,如果我们在删除了ID为100的纪录,但是没有重新启动服务器的条件下,再新增一条新纪录,新纪录的自增ID都为101。
为什么会出现这种现象?
这是由于不同的表类型保存自增ID的地方不同:InnoDB类型的数据表将表最后的ID值保存在内存里面。所以,当我们重新启动服务器后,内存里面的数据清空,那么自增的ID将重新按照现有表的纪录计算;相反,如果是MyISAM类型的数据表,将最大纪录ID保持在文件里,这样,虽然,重启了服务器,下次插入新纪录的时候,自增ID通过读取文件而计算得到。
如何解决这个问题?
相信大家都能想到的办法就是:不重启服务器。但是,有些情况下,不得不重启下服务器,由于服务器很长时间高速运转必须重新启动一下。也有朋友会回答,将表结构都设置为MyISAM类型,只要是在不影响现有业务的前提下,都是可行的。这里,我分享下我的方法:我的方法很简单,其实,我们压根就没有必要说删除那些记录,很多情况下,我们设置的表自增ID是没有多大意义的,那么,我们可以在表结构新增加一个字段来标示这条记录是否有效,如status字段,1表示有效,0表示失效,如果,不希望看到哪些记录,只要将这些记录的status字段值设置为0即可,下次新增记录ID还是会如期自增的。

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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