justin-robinson/lrucache
Composer 安装命令:
composer require justin-robinson/lrucache
包简介
PHP LRU Cache implementation
README 文档
README
PHP LRU Cache implementation
Forked from https://github.com/rogeriopvl/php-lrucache
Changes
- Reduce cost of inserting to cache from O(n) to O(1)
- Make cache iterable
- Fix phpunit tests
Intro
What is a LRU Cache?
LRU stands for Least Recently Used. It's a type of cache that usually has a fixed capacity and discards the oldest entries. This is specially useful if you have the need to control the cache memory usage.
If you want more details about LRU Cache, you can read this article that explains it pretty well. Also if you want more interesting info, you can read this great paper on LRU algorithms.
Implementation
This code is in it's early stages. I need to write more tests to find out the possible naive code parts in order to achieve some performance, if any is possible with PHP :P
This implementation is similar to a LinkedHashMap. Right now I'm just messing around with the code and decided to keep it simple, using a simple associative array as a naive hashmap.
Install (composer)
Add the package into your composer.json file:
"require": {
"justin-robinson/lrucache": "dev-master"
}
Then run the command:
composer install
Usage
Usage is pretty simple:
require_once('vendor/autoload.php'); // composer autoader
$cache = new \LRUCache\LRUCache(1000);
$cache->put('mykey', 'arrow to the knee');
echo $cache->get('mykey');
You can use the tests to try things like load testing etc.
justin-robinson/lrucache 适用场景与选型建议
justin-robinson/lrucache 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 2.96k 次下载、GitHub Stars 达 1, 最近一次更新时间为 2016 年 02 月 15 日, 在 PHP 生态内属于活跃度较高的组件。
它主要适用于以下技术方向: 「php」 「cache」 「lru」 等业务场景。在实际项目中,围绕这些方向常见需要落地的问题包括:接口对接、性能调优、并发安全、与既有框架(Laravel / ThinkPHP / Yii / Webman 等)的兼容适配,以及生产环境的日志埋点与稳定性保障。
我们在过去多个企业项目中使用过 justin-robinson/lrucache 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。
基于 justin-robinson/lrucache 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。
线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。
承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维;也可按月提供技术保姆服务。
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统计信息
- 总下载量: 2.96k
- 月度下载量: 0
- 日度下载量: 0
- 收藏数: 1
- 点击次数: 8
- 依赖项目数: 1
- 推荐数: 0
其他信息
- 授权协议: Apache-2.0
- 更新时间: 2016-02-15