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What is Redis in Python?
Redis is an open source memory-based data structure storage system. It can be used as a database, cache, and message broker, and supports a variety of data structures, such as strings, hashes, lists, sets, etc.
In Python, Redis is a very popular database and caching solution. It provides a Python client library that enables Python developers to interact with and interact with Redis.
Features of Redis
Redis offers many features that make it a popular database and caching solution. Among them, the following are the main features of Redis:
Redis in Python
Using Redis in Python requires installing the corresponding Python client library. Currently, the most commonly used Redis client library in Python is redis-py.
redis-py provides Python’s complete support for Redis, such as connection, control, data operations, etc.
First, install the redis-py library. It can be installed through pip:
pip install redis
After successful installation, you can use the redis module directly in Python code:
import redis # 连接Redis数据库 redis_client = redis.Redis(host='localhost', port=6379, db=0) # 写入数据 redis_client.set('name', 'John') # 读取数据 print(redis_client.get('name'))
In the above code, we first pass redis.Redis
Create a Redis client object. The host and port here refer to the host name and port number of the Redis server respectively, and db indicates the database number to be used.
Next, we use the redis_client.set()
method to write data to Redis, where name
and John
are written. Finally, we use the redis_client.get()
method to read the data just written and output it on the console.
In addition to the set
and get
methods, redis-py also provides many other methods, including data operations, transaction processing, pipeline operations, etc. For specific usage methods, please refer to the official documentation of redis-py.
Summary
Redis is a very flexible, high-performance database and caching solution, which has also been widely used in Python. The Redis client library redis-py in Python provides very complete Redis support, allowing Python developers to easily interact with Redis.
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