发布于 2015-10-06 00:52:11 | 186 次阅读 | 评论: 0 | 来源: 网友投递
这里有新鲜出炉的Node.js主要方法使用说明,程序狗速度看过来!
Node.js 服务器端的JavaScript
Node.js 是一个基于Chrome JavaScript 运行时建立的一个平台, 用来方便地搭建快速的 易于扩展的网络应用· Node.js 借助事件驱动, 非阻塞I/O 模型变得轻量和高效, 非常适合 运行在分布式设备 的 数据密集型 的实时应用
Node v4.1.2(稳定版)发布,主要更新内容如下:
http:
Fix out-of-order 'finish' event bug in pipelining that can abort execution, fixes DoS vulnerability CVE-2015-7384 (Fedor Indutny) #3128
Account for pending response data instead of just the data on the current request to decide whether pause the socket or not (Fedor Indutny) #3128
libuv: Upgraded from v1.7.4 to v1.7.5, see release notes for details (Saúl Ibarra Corretgé) #3010
A better rwlock implementation for all Windows versions
Improved AIX support
v8:
详情请看:发行说明。
下载地址:
Windows 32-bit Installer: https://nodejs.org/dist/v4.1.2/node-v4.1.2-x86.msi
Windows 64-bit Installer: https://nodejs.org/dist/v4.1.2/node-v4.1.2-x64.msi
Windows 32-bit Binary: https://nodejs.org/dist/v4.1.2/win-x86/node.exe
Windows 64-bit Binary: https://nodejs.org/dist/v4.1.2/win-x64/node.exe
Mac OS X 64-bit Installer: https://nodejs.org/dist/v4.1.2/node-v4.1.2.pkg
Mac OS X 64-bit Binary: https://nodejs.org/dist/v4.1.2/node-v4.1.2-darwin-x64.tar.gz
Linux 32-bit Binary: https://nodejs.org/dist/v4.1.2/node-v4.1.2-linux-x86.tar.gz
Linux 64-bit Binary: https://nodejs.org/dist/v4.1.2/node-v4.1.2-linux-x64.tar.gz
SunOS 32-bit Binary: https://nodejs.org/dist/v4.1.2/node-v4.1.2-sunos-x86.tar.gz
SunOS 64-bit Binary: https://nodejs.org/dist/v4.1.2/node-v4.1.2-sunos-x64.tar.gz
ARMv6 32-bit Binary: https://nodejs.org/dist/v4.1.2/node-v4.1.2-linux-armv6l.tar.gz
ARMv7 32-bit Binary: https://nodejs.org/dist/v4.1.2/node-v4.1.2-linux-armv7l.tar.gz
ARMv8 64-bit Binary: https://nodejs.org/dist/v4.1.2/node-v4.1.2-linux-arm64.tar.gz
Source Code: https://nodejs.org/dist/v4.1.2/node-v4.1.2.tar.gz
Other release files: https://nodejs.org/dist/v4.1.2/
Documentation: https://nodejs.org/docs/v4.1.2/api/
Node.js 是一个基于Chrome JavaScript 运行时建立的一个平台, 用来方便地搭建快速的 易于扩展的网络应用· Node.js 借助事件驱动, 非阻塞I/O 模型变得轻量和高效, 非常适合 运行在分布式设备 的 数据密集型 的实时应用