Introduction to Memcached

Memcached is a high-performance, distributed memory caching system that is used to speed up dynamic web applications by alleviating database load. This tutorial will provide a comprehensive guide to dozens of useful APIs offered by Memcached along with code snippets.

Basic Operations

Set Data

import memcache

# Connect to memcached
client = memcache.Client([('127.0.0.1',11211)])

# Set a value
client.set('key', 'value')

Get Data

value = client.get('key')
print(value)  # Output: value

Delete Data

client.delete('key')

Advanced Operations

Increment a Value

client.set('counter', 1)
client.incr('counter', 1)
value = client.get('counter')
print(value)  # Output: 2

Decrement a Value

client.set('counter', 2)
client.decr('counter', 1)
value = client.get('counter')
print(value)  # Output: 1

Append Data

client.set('key', 'Hello')
client.append('key', ' World')
value = client.get('key')
print(value)  # Output: Hello World

Prepend Data

client.set('key', 'World')
client.prepend('key', 'Hello ')
value = client.get('key')
print(value)  # Output: Hello World

Simple Application Example

Web Page Cache

from flask import Flask, request
import memcache

app = Flask(__name__)
client = memcache.Client([('127.0.0.1', 11211)])

@app.route('/')
def homepage():
    # Try fetching cached data
    page_cache = client.get('homepage')
    if page_cache:
        return page_cache

    # Processing the page
    page_content = "Home Page Content"
    
    # Cache the page content
    client.set('homepage', page_content, time=60)
    return page_content

if __name__ == "__main__":
    app.run()

By using the cache API provided by memcached, the application can handle more requests, enhancing overall performance and user experience.

Hash: 9f12aa1e1352e96b0e03dce9945f55a918e667d1dd4f088930d62db22b4ab166