


How to develop a simple online question and answer system using MySQL and Python
How to use MySQL and Python to develop a simple online question and answer system
In recent years, with the rapid development of the Internet, intelligent technology has gradually been widely used in various fields. As one of the important means of human-computer interaction, online question and answer system has been paid attention to and used by more and more people. This article will introduce how to use MySQL and Python to develop a simple online question and answer system, and provide specific code examples.
1. Environment configuration
Before development, we need to perform some environment configuration. First, you need to install the MySQL database and create a database to store question and answer information. Secondly, you need to install Python's MySQL library for connecting and operating the MySQL database. Finally, we also need to install the Python Flask library for developing web applications.
2. Database design
Before we start writing code, we need to design a suitable database structure to store question and answer information. A simple question and answer system contains at least two tables: one for storing question information and one for storing answer information. The following is a simplified database structure design example:
-
Questions table (questions):
- id: question ID
- title: question Title
- content: Question content
- create_time: Question creation time
-
Answers:
- id: answer ID
- question_id: question ID
- content: answer content
- create_time: answer creation time
3. Code Implementation
Next, we start writing code to implement a simple online question and answer system. First, we need to import the necessary libraries and make a database connection:
import mysql.connector from flask import Flask, request, jsonify app = Flask(__name__) # 连接MySQL数据库 db = mysql.connector.connect( host="localhost", user="root", password="123456", database="qa_system" )
Then, we create an interface for getting a list of questions:
@app.route("/questions", methods=["GET"]) def get_questions(): cursor = db.cursor() cursor.execute("SELECT * FROM questions") questions = cursor.fetchall() results = [] for row in questions: question = { "id": row[0], "title": row[1], "content": row[2], "create_time": row[3] } results.append(question) return jsonify(results)
Next, we create an interface for posting questions Interface:
@app.route("/questions", methods=["POST"]) def create_question(): data = request.json title = data["title"] content = data["content"] cursor = db.cursor() cursor.execute("INSERT INTO questions (title, content) VALUES (%s, %s)", (title, content)) db.commit() return jsonify({"message": "Question created"})
Finally, we create an interface for obtaining a list of answers to specified questions:
@app.route("/questions/<int:question_id>/answers", methods=["GET"]) def get_answers(question_id): cursor = db.cursor() cursor.execute("SELECT * FROM answers WHERE question_id = %s", (question_id,)) answers = cursor.fetchall() results = [] for row in answers: answer = { "id": row[0], "question_id": row[1], "content": row[2], "create_time": row[3] } results.append(answer) return jsonify(results)
4. Run the test
After writing the code, we can run the test to Verify that the system is working properly. First, we need to start the Flask application:
if __name__ == "__main__": app.run()
Then, we can use tools such as Postman to test the interface we created. For example, you can use the GET method to request the /questions
interface to obtain a list of questions, use the POST method to request the /questions
interface to post questions, and use the GET method to request the /questions/<question_id> The /answers</question_id>
interface obtains a list of answers to a specified question.
Through the above steps, we have successfully developed a simple online question and answer system using MySQL and Python.
Summary
This article introduces how to use MySQL and Python to develop a simple online question and answer system, and provides specific code examples. Of course, this is just a simple example, and the actual online question and answer system still has many functions and details that need to be considered and improved. I hope this article will be helpful to people who are new to the development of online question and answer systems and can be used as a starting point for more complex and complete development work.
The above is the detailed content of How to develop a simple online question and answer system using MySQL and Python. For more information, please follow other related articles on the PHP Chinese website!

MySQL'sBLOBissuitableforstoringbinarydatawithinarelationaldatabase,whileNoSQLoptionslikeMongoDB,Redis,andCassandraofferflexible,scalablesolutionsforunstructureddata.BLOBissimplerbutcanslowdownperformancewithlargedata;NoSQLprovidesbetterscalabilityand

ToaddauserinMySQL,use:CREATEUSER'username'@'host'IDENTIFIEDBY'password';Here'showtodoitsecurely:1)Choosethehostcarefullytocontrolaccess.2)SetresourcelimitswithoptionslikeMAX_QUERIES_PER_HOUR.3)Usestrong,uniquepasswords.4)EnforceSSL/TLSconnectionswith

ToavoidcommonmistakeswithstringdatatypesinMySQL,understandstringtypenuances,choosetherighttype,andmanageencodingandcollationsettingseffectively.1)UseCHARforfixed-lengthstrings,VARCHARforvariable-length,andTEXT/BLOBforlargerdata.2)Setcorrectcharacters

MySQloffersechar, Varchar, text, Anddenumforstringdata.usecharforfixed-Lengthstrings, VarcharerForvariable-Length, text forlarger text, AndenumforenforcingdataAntegritywithaetofvalues.

Optimizing MySQLBLOB requests can be done through the following strategies: 1. Reduce the frequency of BLOB query, use independent requests or delay loading; 2. Select the appropriate BLOB type (such as TINYBLOB); 3. Separate the BLOB data into separate tables; 4. Compress the BLOB data at the application layer; 5. Index the BLOB metadata. These methods can effectively improve performance by combining monitoring, caching and data sharding in actual applications.

Mastering the method of adding MySQL users is crucial for database administrators and developers because it ensures the security and access control of the database. 1) Create a new user using the CREATEUSER command, 2) Assign permissions through the GRANT command, 3) Use FLUSHPRIVILEGES to ensure permissions take effect, 4) Regularly audit and clean user accounts to maintain performance and security.

ChooseCHARforfixed-lengthdata,VARCHARforvariable-lengthdata,andTEXTforlargetextfields.1)CHARisefficientforconsistent-lengthdatalikecodes.2)VARCHARsuitsvariable-lengthdatalikenames,balancingflexibilityandperformance.3)TEXTisidealforlargetextslikeartic

Best practices for handling string data types and indexes in MySQL include: 1) Selecting the appropriate string type, such as CHAR for fixed length, VARCHAR for variable length, and TEXT for large text; 2) Be cautious in indexing, avoid over-indexing, and create indexes for common queries; 3) Use prefix indexes and full-text indexes to optimize long string searches; 4) Regularly monitor and optimize indexes to keep indexes small and efficient. Through these methods, we can balance read and write performance and improve database efficiency.


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Dreamweaver Mac version
Visual web development tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

WebStorm Mac version
Useful JavaScript development tools

Zend Studio 13.0.1
Powerful PHP integrated development environment
