Navicat
(1) 问题描述
1﹚ 在Navicat for mysql 修改过表名之后表在后续的跟进中会把表名在未知情况下变成小写的.
2﹚ 在大小写敏感情况下,对字段中该大写的字母修改之后发现说表已经存在,
3﹚ 我们数据库设置是大小写敏感的,所以导致有些查询语句会无法查询,数据库同步无法用工具实现同步,造成比较大的困难
4﹚ 我们在数据库设计中对数据库配置设置为大小写不明感,然后再把配置修改回来,发现数据库中表名也会紧跟着变成小写,所以造成的困难是比较大的.
﹙2﹚ 操作
1﹚ 唯一想到的实现的办法一就是通过数据库文件进行修改,这样修改风险性比较大,而且耗时太久,在文件量大的时候会无法修改
2﹚ 还有一个办法就是在不追求改动的情况下,在数据库同步的时候修改配置,然后同步,同步完成后把名称修改回来,这样可以实现,但是不能存根底上解决
3﹚ 在读了一下mysql性能调优和架构设计中突然想到了一点,我们的额数据库存贮位置可以在配置文件中找到,然后找到数据库存贮位置中的表设计修改表名为小写的.frm文件,重新打开数据库发现表名是大小写敏感了,数据库同步的时候发现一切是可以正常同步的没有错误
﹙3﹚ 解决:
按照操作三进行修改数据库中的表名称,可以正常的实现
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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