cl-memcached

Integrate memcached caching in Common Lisp with TEXT and META protocols.

25|4|Updated Sep 21, 2009
One-click install
npx skills add https://github.com/quasi/cl-memcached --skill cl-memcached
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cl-memcached
Source: https://github.com/quasi/cl-memcached/tree/main
Command: npx skills add https://github.com/quasi/cl-memcached --skill cl-memcached

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables Lisp developers to integrate memcached caching into their applications, reducing database load and speeding up responses in data-heavy workflows.

Core Features & Use Cases

  • TEXT and META protocol support: provides both classic and modern memcached interactions for storage, retrieval, deletion, and advanced operations.
  • Connection pooling: leverages pooled connections to deliver high throughput in concurrent environments.
  • Atomic counters & CAS: supports mc-incr/mc-decr and CAS-based updates for safe, race-free data modifications.
  • Batch operations & pipelining: enables bulk gets and pipelined writes to minimize network round-trips and improve latency.
  • Usage patterns: covers cache-aside, expiration semantics, graceful cache-failure handling, and write-through strategies.

Quick Start

  1. Load cl-memcached via Quicklisp: (ql:quickload :cl-memcached)
  2. Create a default memcache: (defvar mem (cl-memcached:make-memcache :host "127.0.0.1" :port 11211))
  3. Store a value: (cl-memcached:mc-set "greeting" "Hello")
  4. Retrieve a value: (cl-memcached:mc-get-value "greeting")
  5. Optional: enable pooling for better performance: (setf cl-memcached:mc-use-pool t)

Frequently Asked Questions about cl-memcached

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate memcached caching in Common Lisp to reduce database load?

Memcached caching in Common Lisp is integrated by loading the library via Quicklisp, creating a memcache instance with host and port parameters, and using set/get functions to store and retrieve data, reducing database load and accelerating data-heavy workflows.

Can I use connection pooling with memcached in Common Lisp for high throughput?

Connection pooling with memcached in Common Lisp is supported and enabled by setting the pooling variable to true, leveraging pooled connections to deliver high throughput in concurrent environments.

How do I handle atomic counters and race-free updates in memcached using Common Lisp?

Atomic counters and race-free updates in memcached using Common Lisp are handled through increment and decrement operations and CAS-based updates, ensuring safe data modifications for performance-critical tasks like sessions and counters.

Does memcached for Common Lisp support batch operations and pipelining to minimize network round-trips?

Memcached for Common Lisp supports batch operations and pipelining, enabling bulk gets and pipelined writes to minimize network round-trips and improve latency in performance-critical caching tasks.

What is the best way to handle cache failure gracefully in a Common Lisp application?

The best way to handle cache failure gracefully in a Common Lisp application is to use safe error handling and graceful degradation, ensuring the application continues functioning when the memcached cache becomes unavailable.

Which memcached protocols are supported by Common Lisp caching libraries?

Common Lisp caching libraries support both TEXT and META memcached protocols, providing classic and modern interactions for storage, retrieval, deletion, and advanced operations with encoding and TTL semantics.