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go-cache: Go 语言的简单内存缓存库
A thread-safe in-memory key:value store library for Go, similar to Memcached, suitable for single-machine applications. Provides easy-to-use functions for setting, getting, and expiring cached data.
Go
Added on 2025年7月5日8,530
Stars889
ForksGo
LanguageProject Introduction
Summary
go-cache is a popular Go library implementing an in-memory key-value store. It offers essential caching functionalities like expiration and concurrency safety, designed for simple integration into any single-machine Go application requiring local data caching.
Problem Solved
Go developers often need a fast, readily available in-memory caching layer within their applications to avoid costly external calls (e.g., database queries, API requests) and improve performance. This library provides a simple, reliable, and thread-safe solution for this need without external dependencies.
Core Features
Thread-Safe Operations
Safely get, set, add, replace, and delete items concurrently from multiple goroutines.
Item Expiration
Configure items with an expiration time, automatically removing them when they expire.
Generic Key/Value Storage
Efficiently store and retrieve any Go type using interface{} keys and values.
Tech Stack
Go
使用场景
go-cache is ideal for scenarios where a fast, local, temporary storage of data is required to reduce load on backend services or improve application response times. Common use cases include:
场景一：缓存数据库查询结果
Details
Cache the results of frequent database queries to avoid hitting the database on every request for the same data.
User Value
Significantly reduces database load and speeds up data retrieval for frequently accessed information.
场景二：缓存外部 API 响应
Details
Store responses from external APIs that are frequently called and whose data doesn't change often.
User Value
Decreases latency by serving cached responses directly instead of waiting for external network calls.
场景三：存储会话数据或临时计算结果
Details
Store temporary user session data or computation results that are needed for a short period.
User Value
Provides a fast access layer for transient data, improving application performance for user interactions or complex calculations.
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