In the design of dynamic websites, the importance of database design is self-evident. If it is not designed properly, it will be very difficult to query and the performance of the program will also be affected. Regardless of
whether you are using mySQL or Oracle database, formalized table design can make your PHP code more readable and easier to expand, which
will also improve application performance.
Simply put, formalization is to eliminate redundancy and uncoordinated subordination in table design. In this article, I'll walk through five progressive processes to teach you the formalization techniques you should know in your design. Thereby establishing a feasible and
efficient database. This article will also analyze in detail the types of relationships that can be exploited.
It is assumed here that we want to create a user information table, which stores the user's name, company, company address and some personal favorites or URLs. At the beginning, you might define a table structure as follows:
Zero status form
users
name company company_address url1 url2
Joe ABC 1 Work Lane abc.com xyz.com
Jill XYZ 1 Job Street abc.com xyz.com
Since no normalization is performed, we call this form of table a zero-state form table. Pay attention to the url1 and url2 fields---What if we
need a third url in the application? This way you have to add an extra column to the table, which is obviously not a good idea. If you want to create a scalable
system, you should consider using the first normalized form and apply it to the table.
First level normalized form
1. Eliminate duplicate groups in each table
2. Create a separate table for each set of related data
3. Use a primary key to identify each set Related data
The above table obviously violates the first rule above, so what does the primary key in the third rule mean? Very simple, it just adds a unique, automatically increasing integer value to each record. Through this value, two records with the same name can be distinguished. By applying the first level of normalization, we
get the following table:
users
userId name company company_address url
1 Joe ABC 1 Work Lane abc.com
1 Joe ABC 1 Work Lane xyz.com
2 Jill XYZ 1 Job Street xyz.com
Now our table can be said to be at the first level of formalization Form, it has solved the limitation problem of url field, but this processing has brought
a new problem. Every time we insert a record into the user table, we have to repeat all the company and user data. Not only does this make the database
larger than before, but it is also prone to errors. Therefore, it still needs to go through the second level of formalization.
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本篇文章给大家带来了关于mysql的相关知识,其中主要介绍了关于索引优化器工作原理的相关内容,其中包括了MySQL Server的组成,MySQL优化器选择索引额原理以及SQL成本分析,最后通过 select 查询总结整个查询过程,下面一起来看一下,希望对大家有帮助。

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结构层次是“数据库→数据表→记录→字段”;字段构成记录,记录构成数据表,数据表构成了数据库。数据库是一个完整的数据的记录的整体,一个数据库包含0到N个表,一个表包含0到N个字段,记录是表中的行。

mysql查询为什么会慢,关于这个问题,在实际开发经常会遇到,而面试中,也是个高频题。遇到这种问题,我们一般也会想到是因为索引。那除开索引之外,还有哪些因素会导致数据库查询变慢呢?


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