MySQL table design tutorial: Create a simple questionnaire
MySQL table design tutorial: Create a simple questionnaire
In terms of data storage and management, MySQL is a commonly used relational database management system. In order to better understand the MySQL table design process, we will take creating a simple questionnaire as an example.
First, we need to create a database to store our questionnaire data. Assuming that our database is named survey_db
, we can use the following SQL command to create the database:
CREATE DATABASE survey_db;
Next, we need to create a table in the database to store the survey questions and Answer. Assuming that our table is named questions
, we can use the following SQL command to create the table:
USE survey_db; CREATE TABLE questions ( id INT AUTO_INCREMENT PRIMARY KEY, question_text VARCHAR(255) NOT NULL );
In the above SQL command, we defined two columns, which are id
and question_text
. The id
column is an auto-increasing integer type that serves as the unique identifier of the question. question_text
The column is a non-empty string type used to store the text of the question.
After creating the question table, we can insert some questions into the table:
INSERT INTO questions (question_text) VALUES ('你最喜欢的颜色是什么?'), ('你最喜欢的电影类型是什么?'), ('你最喜欢的食物是什么?');
Next, we need to create a table to store the user's answers to the questions. Suppose our table is named answers
, we can use the following SQL command to create the table:
CREATE TABLE answers ( id INT AUTO_INCREMENT PRIMARY KEY, question_id INT, answer_text VARCHAR(255) NOT NULL, FOREIGN KEY (question_id) REFERENCES questions(id) );
In the above SQL command, we defined three columns, namely id
, question_id
and answer_text
. The id
column is an auto-increasing integer type that serves as the unique identifier of the answer. The question_id
column is an integer type used to associate the id
of the question. answer_text
The column is a non-empty string type used to store the text of the answer.
After creating the answer table, we can insert some answers into the table:
INSERT INTO answers (question_id, answer_text) VALUES (1, '红色'), (1, '蓝色'), (2, '喜剧片'), (2, '动作片'), (3, '披萨'), (3, '寿司');
So far, we have successfully created a simple questionnaire. Through the above table design, we can easily store and manage questionnaire data.
When we need to query the answer to a question, we can use the following SQL command:
SELECT question_text, answer_text FROM questions JOIN answers ON questions.id = answers.question_id WHERE questions.id = 1;
In the above SQL command, we use the JOIN
keyword to associate the question table with the answer table. Through the JOIN
operation, we can find the corresponding question text and answer based on the id
of the question.
Summary:
Through the above MySQL table design tutorial, we learned how to create a simple questionnaire. In practical applications, we can expand and adjust the table structure as needed to better adapt to actual needs. After mastering the table design method and related SQL operations, we can easily store and query data, improving the efficiency and accuracy of data management. I hope this tutorial will be helpful to everyone in MySQL table design.
The above is the detailed content of MySQL table design tutorial: Create a simple questionnaire. For more information, please follow other related articles on the PHP Chinese website!

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

AI Hentai Generator
Generate AI Hentai for free.

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.

You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

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 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.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

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

Effective monitoring of Redis databases is critical to maintaining optimal performance, identifying potential bottlenecks, and ensuring overall system reliability. Redis Exporter Service is a powerful utility designed to monitor Redis databases using Prometheus. This tutorial will guide you through the complete setup and configuration of Redis Exporter Service, ensuring you seamlessly build monitoring solutions. By studying this tutorial, you will achieve fully operational monitoring settings
