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In this article, let’s learn about the relevant knowledge about python database. Some friends may have just come into contact with the python programming language and do not have a special understanding of this aspect. Next, This article will introduce you to the relevant knowledge about data in python query database.
Query operation of database
Python queries Mysql using the fetchone() method to obtain a single piece of data, and the fetchall() method to obtain multiple pieces of data.
1.fetchone(): This method gets the next query result set. The result set is an object
2.fetchall(): receives all the returned result rows.
rowcount: This is a read-only property and returns the rows affected by executing the execute() method. number.
Example demonstration
Query all data in the EMPLOYEE table whose salary field is greater than 1000:
#!/usr/bin/python # -*- coding: UTF-8 -*- import MySQLdb # 打开数据库连接 db = MySQLdb.connect("localhost", "testuser", "test123", "TESTDB", charset='utf8' ) # 使用cursor()方法获取操作游标 cursor = db.cursor() # SQL 查询语句 sql = "SELECT * FROM EMPLOYEE \ WHERE INCOME > '%d'" % (1000) try: # 执行SQL语句 cursor.execute(sql) # 获取所有记录列表 results = cursor.fetchall() for row in results: fname = row[0] lname = row[1] age = row[2] sex = row[3] income = row[4] # 打印结果 print "fname=%s,lname=%s,age=%d,sex=%s,income=%d" % \ (fname, lname, age, sex, income ) except: print "Error: unable to fecth data" # 关闭数据库连接 db.close()
The execution results of the above script are as follows:
fname=Mac, lname=Mohan, age=20, sex=M, income=2000
The above is all the content described in this article. This article mainly introduces the relevant knowledge of python database query operation. I hope you can use the information to understand the above content. I hope what I have described in this article will be helpful to you and make it easier for you to learn python.
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