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The rowcount function is a function often used in database operations. Its function is to obtain the number of affected rows in the database. In actual development, we often need to count or judge the results of database operations. The rowcount function provides a simple and effective method to achieve this requirement.
The rowcount function is very simple to use. Usually after performing database operations (such as insert, update, delete, etc.), we can get the number of affected rows by calling the rowcount function. Generally speaking, the return value of the rowcount function can be divided into the following three situations:
Below, I will use several specific code examples to demonstrate the skills and precautions for using the rowcount function:
import MySQLdb # 连接数据库 db = MySQLdb.connect(host='localhost', user='root', passwd='123456', db='test') # 创建游标对象 cursor = db.cursor() # 执行查询操作 sql = "SELECT * FROM students" cursor.execute(sql) # 获取查询结果的行数 rows = cursor.rowcount print("查询到了%d行数据" % rows) # 关闭数据库连接 db.close()
import MySQLdb # 连接数据库 db = MySQLdb.connect(host='localhost', user='root', passwd='123456', db='test') # 创建游标对象 cursor = db.cursor() # 执行插入操作 sql = "INSERT INTO students (name, age) VALUES ('Tom', 20)" cursor.execute(sql) # 获取受影响的行数 rows = cursor.rowcount if rows > 0: print("插入成功") else: print("插入失败") # 提交事务 db.commit() # 关闭数据库连接 db.close()
import MySQLdb # 连接数据库 db = MySQLdb.connect(host='localhost', user='root', passwd='123456', db='test') # 创建游标对象 cursor = db.cursor() # 执行更新操作 sql = "UPDATE students SET age=22 WHERE id=1" cursor.execute(sql) # 获取受影响的行数 rows = cursor.rowcount if rows > 0: print("更新成功") else: print("更新失败") # 提交事务 db.commit() # 关闭数据库连接 db.close()
You also need to pay attention when using the rowcount function The following points:
To sum up, the rowcount function is a very useful function in database operations. By getting the number of affected rows, we can judge and process the results of the database operation. In actual development, we can skillfully use the rowcount function according to specific needs and situations to improve the efficiency and reliability of database operations.
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