- 授权协议: Apache
- 开发语言: PHP
- 操作系统: 跨平台
- 软件首页: http://www.cabalphp.com/
- 软件文档: http://www.cabalphp.com/
- 官方下载: https://github.com/cabalphp/skeleton
软件介绍
CabalPHP
CabalPHP 是一个基于Swoole的轻量、高效、全异步开源框架。
亮点
全异步单机超高性能,轻松分布式部署
支持HTTP、TCP、websocket等多种协议
完善数据库引擎,简单高效(其他swoole框架几乎没有哦)
易于学习,开发效率高,简单高效的数据库引擎
使用IDE(Sublime Text/VSCode/PhpStorm等)有完整的代码提示
适用场景
微服务架构的RPC服务开发
前后分离的应用(RESTful)API接口开发
即时通讯服务端开发
传统的Web网站,服务端渲染SEO友好
性能压力测试
环境:
腾讯云 容器服务
镜像: 基于 php:7.1-alpine 的swoole镜像
1cores
256MiB - 512MiB
php 7.1.12
# ab -c 2000 -n 10000 http://172.16.1.79:9501/ This is ApacheBench, Version 2.3 <$Revision: 1430300 $> Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/ Licensed to The Apache Software Foundation, http://www.apache.org/ Benchmarking 172.16.1.79 (be patient) Completed 1000 requests Completed 2000 requests Completed 3000 requests Completed 4000 requests Completed 5000 requests Completed 6000 requests Completed 7000 requests Completed 8000 requests Completed 9000 requests Completed 10000 requests Finished 10000 requests Server Software: swoole-http-server Server Hostname: 172.16.1.79 Server Port: 9501 Document Path: / Document Length: 284 bytes Concurrency Level: 2000 Time taken for tests: 1.658 seconds Complete requests: 10000 Failed requests: 3 (Connect: 0, Receive: 0, Length: 3, Exceptions: 0) Write errors: 0 Total transferred: 4330003 bytes HTML transferred: 2840003 bytes Requests per second: 6031.43 [#/sec] (mean) Time per request: 331.596 [ms] (mean) Time per request: 0.166 [ms] (mean, across all concurrent requests) Transfer rate: 2550.40 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 37 154.4 2 1005 Processing: 27 252 68.8 260 547 Waiting: 0 250 69.2 259 546 Total: 79 289 165.9 267 1369 Percentage of the requests served within a certain time (ms) 50% 267 66% 284 75% 303 80% 314 90% 347 95% 365 98% 1252 99% 1279 100% 1369 (longest request)
捐助
先捐助些优秀的代码吧!
Java 8函数式编程
[英] Richard Warburton / 王群锋 / 人民邮电出版社 / 2015-3 / 39.00元
通过每一章的练习快速掌握Java 8中的Lambda表达式 分析流、高级集合和其他Java 8类库的改进 利用多核CPU提高数据并发的性能 将现有代码库和库代码Lambda化 学习Lambda表达式单元测试和调试的实践解决方案 用Lambda表达式实现面向对象编程的SOLID原则 编写能有效执行消息传送和非阻塞I/O的并发应用一起来看看 《Java 8函数式编程》 这本书的介绍吧!
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