


Explanation of basic operation examples of SQLite3 in Python
这篇文章主要介绍了Python2.7编程中SQLite3基本操作方法,涉及Python2.7操作sqlite3数据库的增删改查及防注入等相关技巧,需要的朋友可以参考下
本文实例讲述了Python2.7中SQLite3基本操作方法。分享给大家供大家参考,具体如下:
1、基本操作
# -*- coding: utf-8 -*- #!/usr/bin/env python import sqlite3 def mykey(x): return x[3] conn=sqlite3.connect("D:\\demo\\my_db.db") sql = "CREATE TABLE IF NOT EXISTS mytb ( a char , b int , c real, d DATE)" # a char , b int , c real 表示该表有三个字段, # a 是字符串类型, b 是整数类型, c 是实数类型。 conn.execute( sql ) cs = conn.cursor() #cs.execute("DELETE FROM mytb WHERE A='张三' ") cs.execute("DELETE FROM mytb ") #删除所有记录 ''''' cs.execute( "INSERT INTO mytb ( a,b,c,d ) values('Zhang San',25, 120, '2014-03-04')" ) cs.execute( "INSERT INTO mytb ( a,b,c,d ) values( 'Wang Wu',24, 110, '2014-05-01')" ) cs.execute( "INSERT INTO mytb ( a,b,c,d ) values( 'Li Si',23, 130, '2014-04-06')" ) ''' #批量注入,batchdata是一个列表,列表里每一个元素都是一个元组 batchdata=[('Zhang San',25, 120, '2014-03-04'), ( 'Wang Wu',24, 110, '2014-05-01'), ( 'Li Si',23, 130, '2014-04-06')] cs.executemany('INSERT INTO mytb values (?,?,?,?)',batchdata) conn.commit() #将加入的记录保存到磁盘,非常重要! cs.execute("SELECT name, sql FROM sqlite_master WHERE type='table'") recs = cs.fetchall( ) print ( recs ) cs.execute( "SELECT * FROM mytb ")#打开数据表 recs = cs.fetchall()#取出所有记录 print ( "there is ", len(recs)," notes." ) print recs recs.sort(key = mykey) print recs cs.close() conn.close()
2、删除一条记录,使用sql字符串变量可以实现带参数的删除
sql="DELETE FROM my_table WHERE number='" + my_num + "'" cs.execute(sql)
3、查询某一条或多条记录
如果SQLite3查找的数据库记录中含有中文,取出到Python时要对数据进行decode处理。当时我上网查的时候说要用GBK解码,但我自己却解码失败了,换成utf-8解码才成功显示。 另外,如果只查询一条可以用fetchone语句,或者fetchall之后再通过python把它找出来。
sql="SELECT name FROM my_table WHERE number ='" + my_num + "'" cs.execute(sql) the_name=(cs.fetchall())[0][0].decode('utf-8')
4、避免重复注入
有时候我们会有重复的记录,为了避免把相同的记录多次插入到数据库,可以使用如下语句:
sql="INSERT OR REPLACE INTO "+my_table+" values (?,?,?,?,?,?,?) " #假设my_table有7项
5、插入中文记录至SQLite3
Python是unicode编码,但数据库对中文是使用GBK编码,比如stock_name变量含有中文,则需要做unicode(name, "gbk")处理
batch=[(stock_num, unicode(stock_name, "gbk") )] cs.executemany( "INSERT OR REPLACE INTO my_table values (?,?) ",batch)
The above is the detailed content of Explanation of basic operation examples of SQLite3 in Python. 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 has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

The article introduces the operation of MySQL database. First, you need to install a MySQL client, such as MySQLWorkbench or command line client. 1. Use the mysql-uroot-p command to connect to the server and log in with the root account password; 2. Use CREATEDATABASE to create a database, and USE select a database; 3. Use CREATETABLE to create a table, define fields and data types; 4. Use INSERTINTO to insert data, query data, update data by UPDATE, and delete data by DELETE. Only by mastering these steps, learning to deal with common problems and optimizing database performance can you use MySQL efficiently.

It is impossible to view MongoDB password directly through Navicat because it is stored as hash values. How to retrieve lost passwords: 1. Reset passwords; 2. Check configuration files (may contain hash values); 3. Check codes (may hardcode passwords).

HadiDB: A lightweight, high-level scalable Python database HadiDB (hadidb) is a lightweight database written in Python, with a high level of scalability. Install HadiDB using pip installation: pipinstallhadidb User Management Create user: createuser() method to create a new user. The authentication() method authenticates the user's identity. fromhadidb.operationimportuseruser_obj=user("admin","admin")user_obj.

MySQL can run without network connections for basic data storage and management. However, network connection is required for interaction with other systems, remote access, or using advanced features such as replication and clustering. Additionally, security measures (such as firewalls), performance optimization (choose the right network connection), and data backup are critical to connecting to the Internet.

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

MySQL Workbench can connect to MariaDB, provided that the configuration is correct. First select "MariaDB" as the connector type. In the connection configuration, set HOST, PORT, USER, PASSWORD, and DATABASE correctly. When testing the connection, check that the MariaDB service is started, whether the username and password are correct, whether the port number is correct, whether the firewall allows connections, and whether the database exists. In advanced usage, use connection pooling technology to optimize performance. Common errors include insufficient permissions, network connection problems, etc. When debugging errors, carefully analyze error information and use debugging tools. Optimizing network configuration can improve performance

The MySQL connection may be due to the following reasons: MySQL service is not started, the firewall intercepts the connection, the port number is incorrect, the user name or password is incorrect, the listening address in my.cnf is improperly configured, etc. The troubleshooting steps include: 1. Check whether the MySQL service is running; 2. Adjust the firewall settings to allow MySQL to listen to port 3306; 3. Confirm that the port number is consistent with the actual port number; 4. Check whether the user name and password are correct; 5. Make sure the bind-address settings in my.cnf are correct.
