Problem with python accessing redis
Today, there was an error when using python to access redis on this machine (windows). There are two types of errors:
If I configure sentinel, an error like unknown command 'SENTINEL' will be reported;
If When I configure StrictRedis, a NOAUTH Authentication required. error will be reported;
mark it and find a solution tomorrow. . . .
ps: It was finally discovered that the failure of the mongo connection was caused by the password not being set (actually because the online configuration was regarded as offline configuration...)
For the first error, the company's recent online A problem occurred, and I encountered such an error. The main reason was that sentinel did not start. However, the process was a bit tricky. The company has three redis sentinel machines. After one of the machines went down, the other two machines were unable to elect. One machine is used as the master, because I don’t know which temporary worker configured the election machine to 3 when doing redis configuration. As a result, as long as one machine is down, it cannot be elected. In fact, the configuration should be changed to n-m, n is the number of machines, and m is the number of machines allowed to fail.
Attached is the redis code as follows:
import redis import ConfigParser import redis.sentinel class RedisConn: _rp = None def __init__(self): cp = ConfigParser.SafeConfigParser() cp.read('avatar_redis.conf') host = cp.get('redis', 'host') port = cp.get('redis', 'port') db_name = cp.get('redis', 'dbName') pass_word = cp.get('redis', 'passWord') self._rp = redis.StrictRedis(host=host, port=port, db=0, password=pass_word) # = redis.ConnectionPool(host=host, port=port, db=0, password='') #sentinel = redis.sentinel.Sentinel([(host, port)], socket_timeout=0.1) #self._rp = sentinel.master_for(db_name, socket_timeout=0.1) #self._rp = redis.Redis(connection_pool=conn_pool) def get_conn(self): return self._rp def set_value(self, key, value): self._rp.set(key, value) def get_value(self, key): return self._rp.get(key)
For more questions about python accessing redis, please pay attention to the PHP Chinese website for related articles!

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











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

How does the Redis caching solution realize the requirements of product ranking list? During the development process, we often need to deal with the requirements of rankings, such as displaying a...

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Laravel 8 provides the following options for performance optimization: Cache configuration: Use Redis to cache drivers, cache facades, cache views, and page snippets. Database optimization: establish indexing, use query scope, and use Eloquent relationships. JavaScript and CSS optimization: Use version control, merge and shrink assets, use CDN. Code optimization: Use Composer installation package, use Laravel helper functions, and follow PSR standards. Monitoring and analysis: Use Laravel Scout, use Telescope, monitor application metrics.

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.
