Split and merge optimization of database tables: tips in PHP programming

As the company's business expands and the amount of data continues to increase, the design of database tables becomes more and more important. In PHP programming, splitting and merging database tables is the basis for optimizing performance.

For beginners, all data is often stored in a table, which can easily lead to slow query speed, long response time, duplication of data, waste of space and other problems. Therefore, we need to optimize the splitting and merging of database tables to make them more efficient.

Below, we will discuss the splitting and merging optimization of database tables from the following two aspects:

1. Split optimization of database tables

When splitting database tables, we need to analyze according to business needs and data characteristics, find out the tables that need to be split, and then split them according to certain rules and principles.

1.1 Split according to data type

Common data types include numbers, strings, dates, etc. Different data types correspond to different storage mechanisms and query optimization methods, so according to the data Splitting by type can store and query data more efficiently.

For example, we can split the order form according to the order date, that is, one form for each month. This makes it easier to query orders for a certain month and reduces unnecessary query time.

1.2 Split according to data access frequency

Some data may be accessed frequently, while other data is rarely used. Therefore, we can split the data according to the access frequency and store frequently accessed data and infrequently accessed data separately to improve query efficiency.

For example, we can split the user table into a basic information table and a detailed information table. The basic information table contains the user's commonly used information, such as name, phone number, email address, etc., while the detailed information table contains the user's more detailed and less frequently used information, such as home address, education level, etc.

1.3 Split according to business modules

In systems with more complex business functions, a table often contains data from multiple business modules, which will lead to a decrease in query efficiency. Therefore, we can split it according to business modules and store the data of different business modules in different tables.

For example, the order form of an e-commerce website contains information from multiple business modules such as order, delivery, and payment. We can split it into multiple tables such as order table, delivery table, payment table, etc. , store data of different business modules respectively.

2. Merge optimization of database tables

Merge optimization of database tables refers to merging different tables into a more complete table to improve query efficiency and reduce duplicate data and takes up space.

2.1 Merging redundant data

In the database, there is often a large amount of duplicate data, especially for some public data, such as city, country and other information. Therefore, we can store these public data in one table, and then use primary keys (such as city codes) to associate them with other tables to reduce redundant data and occupied space.

For example, we can create a new city table, including the name, code, province and other information of the city, and then change the city information in the order form to the city code and associate it with the city table.

2.2 Diversified merging of tables

In the process of database design, different tables often need to cooperate with each other to provide complete information. Therefore, we can combine different tables through certain associations to provide more complete information.

For example, we can associate the product table with the order form through the product number, and then associate it with the product information table in the order list, which can provide more complete order information and product information.

To sum up, in PHP programming, the splitting and merging of database tables is the basis for optimizing performance. When operating database tables, we need to reasonably split and merge tables according to the actual situation to provide more efficient queries and more complete data. The technical column of www.1tyu.com will continue to share PHP programming technology and provide you with more technical support.

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