What are the methods for operating redis in python?
Python operates redis and uses connection pool:
redis-py uses connection pool to manage all connections to a redis server to avoid the overhead of establishing and releasing connections each time. By default, each Redis instance maintains its own connection pool. You can directly establish a connection pool and then use it as parameter Redis, so that multiple Redis instances can share a connection pool.
def getcoon(): pool = redis.ConnectionPool(host='192.168.25.126', port=6379, password='123456', db=0) coon = redis.Redis(connection_pool=pool) coon.set('key', 'value') res = coon.get('key') return res
coon.set('sea', 'hahhahaha', ex=30) # 过期时间单位s
set(name, value, ex=None, px=None, nx=False, xx=False) 在 Redis 中设置值,默认,不存在则创建,存在则修改。 参数: ex - 过期时间(秒) px - 过期时间(毫秒) nx - 如果设置为True,则只有name不存在时,当前set操作才执行 xx - 如果设置为True,则只有name存在时,当前set操作才执行
redis uses connection pool operation
class OPRedis(object): def __init__(self): if not hasattr(OPRedis, 'pool'): OPRedis.getRedisCoon() #创建redis连接 self.coon = redis.Redis(connection_pool=OPRedis.pool) @staticmethod def getRedisCoon(): OPRedis.pool = redis.ConnectionPool(host=redisInfo['host'], password=redisInfo['password'], port=redisInfo['port'], db=redisInfo['db']) """ string类型 {'key':'value'} redis操作 """ def setredis(self, key, value, time=None): #非空即真非0即真 if time: res = self.coon.setex(key, value, time) else: res = self.coon.set(key, value) return res def getRedis(self, key): res = self.coon.get(key).decode() return res def delRedis(self, key): res = self.coon.delete(key) return res """ hash类型,{'name':{'key':'value'}} redis操作 """ def setHashRedis(self, name, key, value): res = self.coon.hset(name, key, value) return res def getHashRedis(self, name, key=None): # 判断key是否我为空,不为空,获取指定name内的某个key的value; 为空则获取name对应的所有value if key: res = self.coon.hget(name, key) else: res = self.coon.hgetall(name) return res def delHashRedis(self, name, key=None): if key: res = self.coon.hdel(name, key) else: res = self.coon.delete(name) return res
redisInfo configuration
redisInfo = { "host": '192.168.1.112', "password": '123456', "port": 6379, "db": 0 }
The above is the detailed content of What are the methods for operating redis 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

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

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



VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

VS Code not only can run Python, but also provides powerful functions, including: automatically identifying Python files after installing Python extensions, providing functions such as code completion, syntax highlighting, and debugging. Relying on the installed Python environment, extensions act as bridge connection editing and Python environment. The debugging functions include setting breakpoints, step-by-step debugging, viewing variable values, and improving debugging efficiency. The integrated terminal supports running complex commands such as unit testing and package management. Supports extended configuration and enhances features such as code formatting, analysis and version control.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Yes, VS Code can run Python code. To run Python efficiently in VS Code, complete the following steps: Install the Python interpreter and configure environment variables. Install the Python extension in VS Code. Run Python code in VS Code's terminal via the command line. Use VS Code's debugging capabilities and code formatting to improve development efficiency. Adopt good programming habits and use performance analysis tools to optimize code performance.

The key to running Jupyter Notebook in VS Code is to ensure that the Python environment is properly configured, understand that the code execution order is consistent with the cell order, and be aware of large files or external libraries that may affect performance. The code completion and debugging functions provided by VS Code can greatly improve coding efficiency and reduce errors.
