在第一遍敲机房收费系统的时候,数据库时自己根据查询的时候需要用到哪个表,哪个字段,就直接将这些字段放在了一个表里面了。没有考虑过三范式什么的。因为上下机的时候卡号,表里面的内容是动态的,卡号总是会重复,所以连主键都没有设置就直接这么下来了
在第一遍敲机房收费系统的时候,数据库时自己根据查询的时候需要用到哪个表,哪个字段,就直接将这些字段放在了一个表里面了。没有考虑过三范式什么的。因为上下机的时候卡号,表里面的内容是动态的,卡号总是会重复,所以连主键都没有设置就直接这么下来了。当时也不懂什么数据冗余啊什么的。现在经过了一些稍微专业点的训练,知道那么做是不行的。数据库的设计需要遵循三范式。
问题来了,将数据库根据三范式设计了,这样有时候需要查询的字段在两个表里面,怎么办呢?这时就需要一个新东西了——视图。
视图在之前数据库学习的时候也是学习过的,但是当时只是看看,并没有真正的去动手时间过。心里会有一种这个东西很高大上的感觉。这次不得不用了,就查了一下,动手实践操作。发现其实很简单的。并没有想象中的那么高大上。
下面来讲一下视图。
视图的创建有两种方式,第一种方式就是在数据库里面根据数据库的提示建立。第二种就是直接写SQL语句来建立。虽然之前学过视图的句子,但是毕竟没有手动实践过,就先来第一种吧。
首先,右击 “视图”,选择“新建视图”
会出现“添加表”的窗口,选择需要的表,然后点击“添加”
就会出现可视化两个表,勾选上自己需要的字段,这时在下面就会有相应的SQL语句生成。
然后点击保存,给该视图命名个名字即可。也可以点击执行来看看效果。
视图是一个虚拟的表,所以在查询的时候,直接将视图作为一个表进行从中查询就可以了。在建立好的视图中,我们自己也可以在下面生成的SQL语句中加入条件。
比如,我加了一个条件,让T_OnOffLine表中的state字段值为False
总结:
在课本中学到的东西,没有动手实践过,只能是了解。遇到问题多多去动手实践,遇到问题,解决问题。才会成长的更多。实践出真知啊。

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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.

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