在Navicat for MySQL工具中大小写敏感的情况下表名称会出现变小_MySQL
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
Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

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'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 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.

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 index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.
