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What is the discuz user table?

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2023-07-11 10:36:311931browse

The discuz user table is "pre_ucenter_members", which is one of the important tables in the Discuz program. This table saves the basic information of all users who have registered on the website, including the user's username, password, email, registration time, etc.

What is the discuz user table?

Operating system for this tutorial: Windows 10 system, Discuz X3.4 version, Dell G3 computer.

Who is the Discuz user table?

If you are a user of the Discuz program, you must know that there is a very important database table in the program - the user table. This table records all user information in the program. However, for some novices, they may have questions about the name of this table: "Which is the Discuz user table?"

Discuz user table introduction

Discuz The name of the user table is "pre_ucenter_members", which is one of the most important tables in the Discuz program. This table saves the basic information of all users who have registered on the website, including the user's username, password, email, registration time, etc. If you want to find information about a certain user, this table is indispensable.

Discuz user table field introduction

Let’s take a look at the fields in the Discuz user table:

uid: the user’s identifier in the program , which is the user's ID. username: The user's username. password: user’s password. email: The user’s email address. myid: The user's identifier in UCenter. regdate: user’s registration time. salt: The salt value used in the password.

These fields are the basic information in the program, but in the specific implementation, the program will also add some other fields to record more information about the user, such as the user's avatar, forum level, etc.

Introduction to Discuz user table operations

When using Discuz program development, we often need to operate the user table, such as adding users, modifying user information, and deleting Users and so on. Below, we briefly introduce how to implement these operations.

New users

The implementation method of adding new users is relatively simple. We only need to use SQL statements to insert a record into the user table. The format of the SQL statement As follows:

INSERT INTO pre_ucenter_members (username, password, email, myid, regdate) VALUES ('testuser', '123456', 'testuser@example.com', '10001', '2022-01-01');

The function of this statement is to insert a record into the user table. The record contains information such as user name, password, email, ID in UCenter, and registration time. These values ​​are based on the actual situation. to fill in.

Modify user information

Modifying user information is also very simple. We only need to use the UPDATE statement to update the corresponding records in the user table. For example, if we want to update the email address of the user named "testuser", we can use the following SQL statement:

UPDATE pre_ucenter_members SET email = 'newemail@example.com' WHERE username = 'testuser';

The function of this statement is to modify the email address of the user named "testuser" is "newemail@example.com". Similarly, we can use similar statements to update other user information, such as passwords, IDs in UCenter, etc.

Delete users

The implementation method of deleting users is also very simple. We only need to use the DELETE statement to delete the corresponding records from the user table. For example, if we want to delete the user named "testuser", we can use the following SQL statement:

DELETE FROM pre_ucenter_members WHERE username = 'testuser';

The function of this statement is to delete the record of the user named "testuser" from the user table. Similarly, we can also use similar statements to delete records of other users.

Types of Discuz data tables

Discuz data tables are mainly divided into the following types:

User data table: stores basic information of users, such as Username, password, avatar, etc. Post data table: stores post-related information, such as post title, post content, posting time, etc. Section data table: stores relevant information about forum sections, such as section name, section description, number of section topics, etc. Attachment data table: stores attachment information uploaded in the forum, such as pictures, audios, videos, etc. Search data table: stores relevant information about forum searches, such as search keywords, search results, etc. Statistical data table: stores the statistical information of the forum, such as the total number of users, the total number of posts, the total number of replies, etc. Private message data table: stores information related to private messages between users, such as sender, recipient, private message content, etc.

Optimization of Discuz data table

In order to ensure the efficient operation of the Discuz forum program, the Discuz data table needs to be optimized. The specific optimization methods are as follows:

Regularly clean up useless data: delete expired posts, attachments and other useless data to reduce the burden on the data table. Optimize the data table structure: Reasonably design the data table structure to avoid data redundancy and duplication. Use indexes: Add indexes to fields that require frequent queries to improve query efficiency. Table storage: Divide the data table into multiple small tables according to certain rules to reduce the amount of data in a single data table. Caching data: Use caching technology to cache commonly used data in memory to reduce database access. Database optimization: Properly configure database parameters, such as cache size, number of connections, etc., to improve database operating efficiency.

in conclusion

Through the introduction of this article, I believe everyone has a deeper understanding of the Discuz user table. Although the user table is just a database table, it plays a very critical role in the running of the program and the storage of data. In the actual program development process, we need to operate the user table reasonably and efficiently to ensure the smooth operation of the program.

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