How to use Redis in Python? The following article will introduce to you how to use Redis in Python. I hope it will be helpful to you!
Previously we used Redis client to use Redis, but in actual work, in most cases The following are all using Redis through code. Since the editor is familiar with Python, we will learn how to use Python today. ##Redis. [Related recommendations: Redis video tutorial]
Environment preparation
Redis First you need to install it.
Python is installed (Python3 is recommended). The Python
library of
Redis is installed (pip install redis).
Start practicingTry it outExample: We plan to connect to
Redis through Python. Then write a kv, and finally print out the queried v.
is the last one in the connection pool command to execute.
Connection pool
Normally, when you need to connect to
redis
, a connection will be created, and redis operations will be performed based on this connection. Release after the operation is completed. Under normal circumstances, this is no problem, but when the amount of concurrency is high, frequent connection creation and release will have a high impact on performance, so the connection pool comes into play. The principle of connection pool: Create multiple connections in advance. When performing
redis
operations, directly obtain the already created connections for operation. After completion, the connection will not be released, but returned to the connection pool for subsequent redis operations! This avoids continuous creation and release, thus improving performance! <div class="code" style="position:relative; padding:0px; margin:0px;"><pre class='brush:php;toolbar:false;'>#!/usr/bin/python3
import redis,time # 导入redis模块，通过python操作redis 也可以直接在redis主机的服务端操作缓存数据库
pool = redis.ConnectionPool(host=&#39;localhost&#39;, port=6379, password="pwd@321", decode_responses=True) # host是redis主机，需要redis服务端和客户端都起着 redis默认端口是6379
r = redis.Redis(connection_pool=pool)
r.set(&#39;name&#39;, &#39;phyger-from-python-redis&#39;)
print(r[&#39;name&#39;])
print(r.get(&#39;name&#39;)) # 取出键name对应的值
print(type(r.get(&#39;name&#39;)))</pre><div class="contentsignin">Copy after login</div></div>
You will find that in actual use, the effect of direct connection and using connection pool is the same, but there will be an obvious difference when concurrency is high. .
Basic Operation Practice
For the many
Redis
commands, we take the SET command as an example to demonstrate.
The above is the detailed content of A brief analysis of how to use Redis in Python. For more information, please follow other related articles on the PHP Chinese website!
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.
Enable PyTorch GPU acceleration on CentOS system requires the installation of CUDA, cuDNN and GPU versions of PyTorch. The following steps will guide you through the process: CUDA and cuDNN installation determine CUDA version compatibility: Use the nvidia-smi command to view the CUDA version supported by your NVIDIA graphics card. For example, your MX450 graphics card may support CUDA11.1 or higher. Download and install CUDAToolkit: Visit the official website of NVIDIACUDAToolkit and download and install the corresponding version according to the highest CUDA version supported by your graphics card. Install cuDNN library:
Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.
Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.
Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.
PyTorch distributed training on CentOS system requires the following steps: PyTorch installation: The premise is that Python and pip are installed in CentOS system. Depending on your CUDA version, get the appropriate installation command from the PyTorch official website. For CPU-only training, you can use the following command: pipinstalltorchtorchvisiontorchaudio If you need GPU support, make sure that the corresponding version of CUDA and cuDNN are installed and use the corresponding PyTorch version for installation. Distributed environment configuration: Distributed training usually requires multiple machines or single-machine multiple GPUs. Place
CentOS Installing Nginx requires following the following steps: Installing dependencies such as development tools, pcre-devel, and openssl-devel. Download the Nginx source code package, unzip it and compile and install it, and specify the installation path as /usr/local/nginx. Create Nginx users and user groups and set permissions. Modify the configuration file nginx.conf, and configure the listening port and domain name/IP address. Start the Nginx service. Common errors need to be paid attention to, such as dependency issues, port conflicts, and configuration file errors. Performance optimization needs to be adjusted according to the specific situation, such as turning on cache and adjusting the number of worker processes.
Enable Redis slow query logs on CentOS system to improve performance diagnostic efficiency. The following steps will guide you through the configuration: Step 1: Locate and edit the Redis configuration file First, find the Redis configuration file, usually located in /etc/redis/redis.conf. Open the configuration file with the following command: sudovi/etc/redis/redis.conf Step 2: Adjust the slow query log parameters in the configuration file, find and modify the following parameters: #slow query threshold (ms)slowlog-log-slower-than10000#Maximum number of entries for slow query log slowlog-max-len
