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Python problems encountered in database programming and solutions
When doing database programming, we often encounter various problems, such as connecting to the database , create tables, insert data, query data, etc. This article will discuss common problems in database programming and provide corresponding solutions and code examples to help readers better understand and use Python for database programming.
The following is a sample code using MySQL database connection:
import mysql.connector # 创建数据库连接 mydb = mysql.connector.connect( host="localhost", user="root", password="password", database="mydatabase" ) # 打印数据库连接状态 print(mydb)
The following is a sample code to create a table using a MySQL database:
import mysql.connector # 创建数据库连接 mydb = mysql.connector.connect( host="localhost", user="root", password="password", database="mydatabase" ) # 创建表 mycursor = mydb.cursor() mycursor.execute("CREATE TABLE customers (name VARCHAR(255), address VARCHAR(255))") # 打印数据库表 mycursor.execute("SHOW TABLES") for x in mycursor: print(x)
The following is a sample code for inserting data using a MySQL database:
import mysql.connector # 创建数据库连接 mydb = mysql.connector.connect( host="localhost", user="root", password="password", database="mydatabase" ) # 插入数据 mycursor = mydb.cursor() sql = "INSERT INTO customers (name, address) VALUES (%s, %s)" val = ("John", "Highway 21") mycursor.execute(sql, val) # 提交数据并打印插入的数据 mydb.commit() print(mycursor.rowcount, "record inserted.")
The following is a sample code for querying data using a MySQL database:
import mysql.connector # 创建数据库连接 mydb = mysql.connector.connect( host="localhost", user="root", password="password", database="mydatabase" ) # 查询数据 mycursor = mydb.cursor() mycursor.execute("SELECT * FROM customers") myresult = mycursor.fetchall() # 打印查询到的数据 for x in myresult: print(x)
Due to limited space, I only listed several common problems and solutions in database programming, and provided Corresponding code examples are provided. In actual database programming, there may be other more problems and techniques involved. Through continuous learning and practice, we can better cope with and solve these problems, making our database programming more efficient and stable.
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