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Page Not Found

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Date(parseInt(window.localStorage.getItem("blogViewedAt")||"0"))),l<30&&(!i||i - + @@ -31,7 +31,7 @@ - + @@ -39,12 +39,12 @@
-
/ / 4 min read

官宣 gnet v1.0.0

最快的 Go 网络框架 gnet 来啦！
type: 官宣domain: 展示

今天，gnet v1.0.0 正式版本发布，享受这个高性能的网络框架吧！

gnet

📖 简介

gnet 是一个基于事件驱动的高性能和轻量级网络框架。它直接使用 epoll 和 kqueue 系统调用而非标准 Go 网络包：net 来构建网络应用，它的工作原理类似两个开源的网络库：netty 和 libuv，这也使得 gnet 达到了一个远超 Go net 的性能表现。

gnet 设计开发的初衷不是为了取代 Go 的标准网络库：net，而是为了创造出一个类似于 Redis、Haproxy 能高效处理网络包的 Go 语言网络服务器框架。

gnet 的卖点在于它是一个高性能、轻量级、非阻塞的纯 Go 实现的传输层（TCP/UDP/Unix Domain Socket）网络框架，开发者可以使用 gnet 来实现自己的应用层网络协议(HTTP、RPC、Redis、WebSocket 等等)，从而构建出自己的应用层网络应用：比如在 gnet 上实现 HTTP 协议就可以创建出一个 HTTP 服务器 或者 Web 开发框架，实现 Redis 协议就可以创建出自己的 Redis 服务器等等。

gnet 衍生自另一个项目：evio，但拥有更丰富的功能特性，且性能远胜之。

🚀 功能

  • 高性能 的基于多线程/Go程网络模型的 event-loop 事件驱动
  • 内置 Round-Robin 轮询负载均衡算法
  • 内置 goroutine 池，由开源库 ants 提供支持
  • 内置 bytes 内存池，由开源库 bytebufferpool 提供支持
  • 简洁的 APIs
  • 基于 Ring-Buffer 的高效内存利用
  • 支持多种网络协议/IPC 机制：TCP、UDP 和 Unix Domain Socket
  • 支持两种事件驱动机制：Linux 里的 epoll 以及 FreeBSD 里的 kqueue
  • 支持异步写操作
  • 灵活的事件定时器
  • SO_REUSEPORT 端口重用
  • 内置多种编解码器，支持对 TCP 数据流分包：LineBasedFrameCodec, DelimiterBasedFrameCodec, FixedLengthFrameCodec 和 LengthFieldBasedFrameCodec，参考自 netty codec，而且支持自定制编解码器
  • 支持 Windows 平台，基于 IOCP 事件驱动机制 Go 标准网络库
  • 加入更多的负载均衡算法：随机、最少连接、一致性哈希等等
  • 支持 TLS
  • 实现 gnet 客户端

💡 核心设计

多线程/Go程网络模型

主从多 Reactors

gnet 重新设计开发了一个新内置的多线程/Go程网络模型：『主从多 Reactors』，这也是 netty 默认的多线程网络模型，下面是这个模型的原理图：

multi_reactor

它的运行流程如下面的时序图：

reactor

主从多 Reactors + 线程/Go程池

你可能会问一个问题：如果我的业务逻辑是阻塞的，那么在 EventHandler.React 注册方法里的逻辑也会阻塞，从而导致阻塞 event-loop 线程，这时候怎么办？

正如你所知，基于 gnet 编写你的网络服务器有一条最重要的原则：永远不能让你业务逻辑（一般写在 EventHandler.React 里）阻塞 event-loop 线程，这也是 netty 的一条最重要的原则，否则的话将会极大地降低服务器的吞吐量。

我的回答是，基于gnet 的另一种多线程/Go程网络模型：『带线程/Go程池的主从多 Reactors』可以解决阻塞问题，这个新网络模型通过引入一个 worker pool 来解决业务逻辑阻塞的问题：它会在启动的时候初始化一个 worker pool，然后在把 EventHandler.React里面的阻塞代码放到 worker pool 里执行，从而避免阻塞 event-loop 线程。

模型的架构图如下所示：

multi_reactor_thread_pool

它的运行流程如下面的时序图：

multi-reactors

gnet 通过利用 ants goroutine 池（一个基于 Go 开发的高性能的 goroutine 池 ，实现了对大规模 goroutines 的调度管理、goroutines 复用）来实现『主从多 Reactors + 线程/Go程池』网络模型。关于 ants 的全部功能和使用，可以在 ants 文档 里找到。

gnet 内部集成了 ants 以及提供了 pool.goroutine.Default() 方法来初始化一个 ants goroutine 池，然后你可以把 EventHandler.React 中阻塞的业务逻辑提交到 goroutine 池里执行，最后在 goroutine 池里的代码调用 gnet.Conn.AsyncWrite([]byte) 方法把处理完阻塞逻辑之后得到的输出数据异步写回客户端，这样就可以避免阻塞 event-loop 线程。

有关在 gnet 里使用 ants goroutine 池的细节可以到这里进一步了解。

可重用且自动扩容的 Ring-Buffer

gnet 内置了inbound 和 outbound 两个 buffers，基于 Ring-Buffer 原理实现，分别用来缓冲输入输出的网络数据以及管理内存，gnet 里面的 ring buffer 能够重用内存以及按需扩容。

对于 TCP 协议的流数据，使用 gnet 不需要业务方为了解析应用层协议而自己维护和管理 buffers，gnet 会替业务方完成缓冲和管理网络数据的任务，降低业务代码的复杂性以及降低开发者的心智负担，使得开发者能够专注于业务逻辑而非一些底层实现。

Like What You See?

Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.
+
/ / 4 min read

官宣 gnet v1.0.0

最快的 Go 网络框架 gnet 来啦！
type: 官宣domain: 展示

今天，gnet v1.0.0 正式版本发布，享受这个高性能的网络框架吧！

gnet

📖 简介

gnet 是一个基于事件驱动的高性能和轻量级网络框架。它直接使用 epoll 和 kqueue 系统调用而非标准 Go 网络包：net 来构建网络应用，它的工作原理类似两个开源的网络库：netty 和 libuv，这也使得 gnet 达到了一个远超 Go net 的性能表现。

gnet 设计开发的初衷不是为了取代 Go 的标准网络库：net，而是为了创造出一个类似于 Redis、Haproxy 能高效处理网络包的 Go 语言网络服务器框架。

gnet 的卖点在于它是一个高性能、轻量级、非阻塞的纯 Go 实现的传输层（TCP/UDP/Unix Domain Socket）网络框架，开发者可以使用 gnet 来实现自己的应用层网络协议(HTTP、RPC、Redis、WebSocket 等等)，从而构建出自己的应用层网络应用：比如在 gnet 上实现 HTTP 协议就可以创建出一个 HTTP 服务器 或者 Web 开发框架，实现 Redis 协议就可以创建出自己的 Redis 服务器等等。

gnet 衍生自另一个项目：evio，但拥有更丰富的功能特性，且性能远胜之。

🚀 功能

  • 高性能 的基于多线程/Go程网络模型的 event-loop 事件驱动
  • 内置 Round-Robin 轮询负载均衡算法
  • 内置 goroutine 池，由开源库 ants 提供支持
  • 内置 bytes 内存池，由开源库 bytebufferpool 提供支持
  • 简洁的 APIs
  • 基于 Ring-Buffer 的高效内存利用
  • 支持多种网络协议/IPC 机制：TCP、UDP 和 Unix Domain Socket
  • 支持两种事件驱动机制：Linux 里的 epoll 以及 FreeBSD 里的 kqueue
  • 支持异步写操作
  • 灵活的事件定时器
  • SO_REUSEPORT 端口重用
  • 内置多种编解码器，支持对 TCP 数据流分包：LineBasedFrameCodec, DelimiterBasedFrameCodec, FixedLengthFrameCodec 和 LengthFieldBasedFrameCodec，参考自 netty codec，而且支持自定制编解码器
  • 支持 Windows 平台，基于 IOCP 事件驱动机制 Go 标准网络库
  • 加入更多的负载均衡算法：随机、最少连接、一致性哈希等等
  • 支持 TLS
  • 实现 gnet 客户端

💡 核心设计

多线程/Go程网络模型

主从多 Reactors

gnet 重新设计开发了一个新内置的多线程/Go程网络模型：『主从多 Reactors』，这也是 netty 默认的多线程网络模型，下面是这个模型的原理图：

multi_reactor

它的运行流程如下面的时序图：

reactor

主从多 Reactors + 线程/Go程池

你可能会问一个问题：如果我的业务逻辑是阻塞的，那么在 EventHandler.React 注册方法里的逻辑也会阻塞，从而导致阻塞 event-loop 线程，这时候怎么办？

正如你所知，基于 gnet 编写你的网络服务器有一条最重要的原则：永远不能让你业务逻辑（一般写在 EventHandler.React 里）阻塞 event-loop 线程，这也是 netty 的一条最重要的原则，否则的话将会极大地降低服务器的吞吐量。

我的回答是，基于gnet 的另一种多线程/Go程网络模型：『带线程/Go程池的主从多 Reactors』可以解决阻塞问题，这个新网络模型通过引入一个 worker pool 来解决业务逻辑阻塞的问题：它会在启动的时候初始化一个 worker pool，然后在把 EventHandler.React里面的阻塞代码放到 worker pool 里执行，从而避免阻塞 event-loop 线程。

模型的架构图如下所示：

multi_reactor_thread_pool

它的运行流程如下面的时序图：

multi-reactors

gnet 通过利用 ants goroutine 池（一个基于 Go 开发的高性能的 goroutine 池 ，实现了对大规模 goroutines 的调度管理、goroutines 复用）来实现『主从多 Reactors + 线程/Go程池』网络模型。关于 ants 的全部功能和使用，可以在 ants 文档 里找到。

gnet 内部集成了 ants 以及提供了 pool.goroutine.Default() 方法来初始化一个 ants goroutine 池，然后你可以把 EventHandler.React 中阻塞的业务逻辑提交到 goroutine 池里执行，最后在 goroutine 池里的代码调用 gnet.Conn.AsyncWrite([]byte) 方法把处理完阻塞逻辑之后得到的输出数据异步写回客户端，这样就可以避免阻塞 event-loop 线程。

有关在 gnet 里使用 ants goroutine 池的细节可以到这里进一步了解。

可重用且自动扩容的 Ring-Buffer

gnet 内置了inbound 和 outbound 两个 buffers，基于 Ring-Buffer 原理实现，分别用来缓冲输入输出的网络数据以及管理内存，gnet 里面的 ring buffer 能够重用内存以及按需扩容。

对于 TCP 协议的流数据，使用 gnet 不需要业务方为了解析应用层协议而自己维护和管理 buffers，gnet 会替业务方完成缓冲和管理网络数据的任务，降低业务代码的复杂性以及降低开发者的心智负担，使得开发者能够专注于业务逻辑而非一些底层实现。

Like What You See?

Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.
- + @@ -54,7 +54,7 @@ - + diff --git a/blog/announcing-gnet-v1/index.html b/blog/announcing-gnet-v1/index.html index 467c16346..addd2ea9f 100644 --- a/blog/announcing-gnet-v1/index.html +++ b/blog/announcing-gnet-v1/index.html @@ -21,7 +21,7 @@ - + @@ -31,7 +31,7 @@ - + @@ -39,12 +39,12 @@
-
/ / 7 min read

Announcing gnet v1.0.0

Hello World! We present you, gnet!
type: announcementdomain: presentation

Today, we are release gnet v1.0.0, enjoy this ultra-fast framework of networking!

gnet

📖 Introduction

gnet is an event-driven networking framework that is fast and lightweight. It makes direct epoll and kqueue syscalls rather than using the standard Go net package and works in a similar manner as netty and libuv, which makes gnet achieve a much higher performance than Go net.

gnet is not designed to displace the standard Go net package, but to create a networking server framework for Go that performs on par with Redis and Haproxy for networking packets handling.

gnet sells itself as a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go which works on transport layer with TCP/UDP protocols and Unix Domain Socket , so it allows developers to implement their own protocols(HTTP, RPC, WebSocket, Redis, etc.) of application layer upon gnet for building diversified network applications, for instance, you get an HTTP Server or Web Framework if you implement HTTP protocol upon gnet while you have a Redis Server done with the implementation of Redis protocol upon gnet and so on.

gnet derives from the project: evio while having a much higher performance and more features.

🚀 Features

  • High-performance event-loop under networking model of multiple threads/goroutines
  • Built-in load balancing algorithm: Round-Robin
  • Built-in goroutine pool powered by the library ants
  • Built-in memory pool with bytes powered by the library bytebufferpool
  • Concise APIs
  • Efficient memory usage: Ring-Buffer
  • Supporting multiple protocols/IPC mechanism: TCP, UDP and Unix Domain Socket
  • Supporting two event-driven mechanisms: epoll on Linux and kqueue on FreeBSD
  • Supporting asynchronous write operation
  • Flexible ticker event
  • SO_REUSEPORT socket option
  • Built-in multiple codecs to encode/decode network frames into/from TCP stream: LineBasedFrameCodec, DelimiterBasedFrameCodec, FixedLengthFrameCodec and LengthFieldBasedFrameCodec, referencing netty codec, also supporting customized codecs
  • Supporting Windows platform with event-driven mechanism of IOCP Go stdlib: net
  • Additional load-balancing algorithms: Random, Least-Connections, Consistent-hashing and so on
  • TLS support
  • Implementation of gnet Client

💡 Key Designs

Networking Model of Multiple Threads/Goroutines

Multiple Reactors

gnet redesigns and implements a new built-in networking model of multiple threads/goroutines: 『multiple reactors』 which is also the default networking model of multiple threads in netty, Here's the schematic diagram:

multi_reactor

and it works as the following sequence diagram:

reactor

Multiple Reactors + Goroutine Pool

You may ask me a question: what if my business logic in EventHandler.React contains some blocking code which leads to blocking in event-loop of gnet, what is the solution for this kind of situation？

As you know, there is a most important tenet when writing code under gnet: you should never block the event-loop goroutine in the EventHandler.React, which is also the most important tenet in netty, otherwise, it will result in a low throughput in your gnet server.

And the solution to that could be found in the subsequent networking model of multiple threads/goroutines in gnet: 『multiple reactors with thread/goroutine pool』which pulls you out from the blocking mire, it will construct a worker-pool with fixed capacity and put those blocking jobs in EventHandler.React into the worker-pool to make the event-loop goroutines non-blocking.

The networking model:『multiple reactors with thread/goroutine pool』dissolves the blocking jobs by introducing a goroutine pool, as shown below:

multi_reactor_thread_pool

and it works as the following sequence diagram:

multi-reactors

gnet implements the networking model:『multiple reactors with thread/goroutine pool』by the aid of a high-performance goroutine pool called ants that allows you to manage and recycle a massive number of goroutines in your concurrent programs, the full features and usages in ants are documented here.

gnet integrates ants and provides the pool.goroutine.Default() method that you can call to instantiate a ants pool where you are able to put your blocking code logic and call the function gnet.Conn.AsyncWrite([]byte) to send out data asynchronously after you finish the blocking process and get the output data, which makes the goroutine of event-loop non-blocking.

The details about integrating gnet with ants are shown here.

Reusable and auto-scaling Ring Buffer

There are two ring-buffers inside gnet: inbound buffer and outbound buffer to buffer and manage inbound/outbound network data, ring-buffer inside gnet is designed and tuned to reuse memory and be auto-scaling on demand.

The purpose of implementing inbound and outbound ring-buffers in gnet is to transfer the logic of buffering and managing network data based on application protocol upon TCP stream from business server to framework and unify the network data buffer, which minimizes the complexity of business code so that developers are able to concentrate on business logic instead of the underlying implementation.

Like What You See?

Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.
+
/ / 7 min read

Announcing gnet v1.0.0

Hello World! We present you, gnet!
type: announcementdomain: presentation

Today, we are release gnet v1.0.0, enjoy this ultra-fast framework of networking!

gnet

📖 Introduction

gnet is an event-driven networking framework that is fast and lightweight. It makes direct epoll and kqueue syscalls rather than using the standard Go net package and works in a similar manner as netty and libuv, which makes gnet achieve a much higher performance than Go net.

gnet is not designed to displace the standard Go net package, but to create a networking server framework for Go that performs on par with Redis and Haproxy for networking packets handling.

gnet sells itself as a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go which works on transport layer with TCP/UDP protocols and Unix Domain Socket , so it allows developers to implement their own protocols(HTTP, RPC, WebSocket, Redis, etc.) of application layer upon gnet for building diversified network applications, for instance, you get an HTTP Server or Web Framework if you implement HTTP protocol upon gnet while you have a Redis Server done with the implementation of Redis protocol upon gnet and so on.

gnet derives from the project: evio while having a much higher performance and more features.

🚀 Features

  • High-performance event-loop under networking model of multiple threads/goroutines
  • Built-in load balancing algorithm: Round-Robin
  • Built-in goroutine pool powered by the library ants
  • Built-in memory pool with bytes powered by the library bytebufferpool
  • Concise APIs
  • Efficient memory usage: Ring-Buffer
  • Supporting multiple protocols/IPC mechanism: TCP, UDP and Unix Domain Socket
  • Supporting two event-driven mechanisms: epoll on Linux and kqueue on FreeBSD
  • Supporting asynchronous write operation
  • Flexible ticker event
  • SO_REUSEPORT socket option
  • Built-in multiple codecs to encode/decode network frames into/from TCP stream: LineBasedFrameCodec, DelimiterBasedFrameCodec, FixedLengthFrameCodec and LengthFieldBasedFrameCodec, referencing netty codec, also supporting customized codecs
  • Supporting Windows platform with event-driven mechanism of IOCP Go stdlib: net
  • Additional load-balancing algorithms: Random, Least-Connections, Consistent-hashing and so on
  • TLS support
  • Implementation of gnet Client

💡 Key Designs

Networking Model of Multiple Threads/Goroutines

Multiple Reactors

gnet redesigns and implements a new built-in networking model of multiple threads/goroutines: 『multiple reactors』 which is also the default networking model of multiple threads in netty, Here's the schematic diagram:

multi_reactor

and it works as the following sequence diagram:

reactor

Multiple Reactors + Goroutine Pool

You may ask me a question: what if my business logic in EventHandler.React contains some blocking code which leads to blocking in event-loop of gnet, what is the solution for this kind of situation？

As you know, there is a most important tenet when writing code under gnet: you should never block the event-loop goroutine in the EventHandler.React, which is also the most important tenet in netty, otherwise, it will result in a low throughput in your gnet server.

And the solution to that could be found in the subsequent networking model of multiple threads/goroutines in gnet: 『multiple reactors with thread/goroutine pool』which pulls you out from the blocking mire, it will construct a worker-pool with fixed capacity and put those blocking jobs in EventHandler.React into the worker-pool to make the event-loop goroutines non-blocking.

The networking model:『multiple reactors with thread/goroutine pool』dissolves the blocking jobs by introducing a goroutine pool, as shown below:

multi_reactor_thread_pool

and it works as the following sequence diagram:

multi-reactors

gnet implements the networking model:『multiple reactors with thread/goroutine pool』by the aid of a high-performance goroutine pool called ants that allows you to manage and recycle a massive number of goroutines in your concurrent programs, the full features and usages in ants are documented here.

gnet integrates ants and provides the pool.goroutine.Default() method that you can call to instantiate a ants pool where you are able to put your blocking code logic and call the function gnet.Conn.AsyncWrite([]byte) to send out data asynchronously after you finish the blocking process and get the output data, which makes the goroutine of event-loop non-blocking.

The details about integrating gnet with ants are shown here.

Reusable and auto-scaling Ring Buffer

There are two ring-buffers inside gnet: inbound buffer and outbound buffer to buffer and manage inbound/outbound network data, ring-buffer inside gnet is designed and tuned to reuse memory and be auto-scaling on demand.

The purpose of implementing inbound and outbound ring-buffers in gnet is to transfer the logic of buffering and managing network data based on application protocol upon TCP stream from business server to framework and unify the network data buffer, which minimizes the complexity of business code so that developers are able to concentrate on business logic instead of the underlying implementation.

Like What You See?

Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.
- + @@ -54,7 +54,7 @@ - + diff --git a/blog/announcing-gnet-v2-3-0/index.html b/blog/announcing-gnet-v2-3-0/index.html index 734396f2f..b5017e5f6 100644 --- a/blog/announcing-gnet-v2-3-0/index.html +++ b/blog/announcing-gnet-v2-3-0/index.html @@ -21,7 +21,7 @@ - + @@ -31,7 +31,7 @@ - + @@ -39,14 +39,14 @@
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/ / 3 min read

Announcing gnet v2.3.0

Hello World! We present you, gnet v2.3.0!
type: announcementdomain: presentation

Today, I'm thrilled to announce the official release of gnet v2.3.0.

P.S. Follow me on Twitter @panjf2000 to get the latest updates about gnet!

Intro

The two major updates in this release are #460 and #461.

We introduced a new data structure matrix in #460 to displace the default map for managing connections internally, with the help of this new data structure, we can eliminate the pointers in map and store connections in the form of a matrix (an array of slices), which will significantly reduce GC (Garbage Collection) latency:

goos: darwin
goarch: arm64
pkg: github.com/panjf2000/gnet/v2
                                    │     old      │                 new                  │
                                    │    sec/op    │    sec/op     vs base                │
GC4El100k/Run-4-eventloop-100000-10    30.74m ± 3%   19.68m ± 10%  -35.98% (p=0.000 n=10)
GC4El200k/Run-4-eventloop-200000-10    63.64m ± 3%   38.16m ± 11%  -40.04% (p=0.000 n=10)
GC4El500k/Run-4-eventloop-500000-10   177.28m ± 8%   95.21m ±  4%  -46.29% (p=0.000 n=10)
geomean                                70.26m        41.51m        -40.92%

+
 /  / 3 min read
Announcing gnet v2.3.0
Hello World! We present you, gnet v2.3.0!
type: announcementdomain: presentation
Today, I'm thrilled to announce the official release of gnet v2.3.0.
P.S. Follow me on Twitter @panjf2000 to get the latest updates about gnet!
Intro
The two major updates in this release are #460 and #461.
We introduced a new data structure matrix in #460 to displace the default map for managing connections internally, with the help of this new data structure, we can eliminate the pointers in map and store connections in the form of a matrix (an array of slices), which will significantly reduce GC (Garbage Collection) latency:
goos: darwin
goarch: arm64
pkg: github.com/panjf2000/gnet/v2
                                    │     old      │                 new                  │
                                    │    sec/op    │    sec/op     vs base                │
GC4El100k/Run-4-eventloop-100000-10    30.74m ± 3%   19.68m ± 10%  -35.98% (p=0.000 n=10)
GC4El200k/Run-4-eventloop-200000-10    63.64m ± 3%   38.16m ± 11%  -40.04% (p=0.000 n=10)
GC4El500k/Run-4-eventloop-500000-10   177.28m ± 8%   95.21m ±  4%  -46.29% (p=0.000 n=10)
geomean                                70.26m        41.51m        -40.92%

 
                                    │     old     │                new                 │
                                    │    B/op     │    B/op      vs base               │
GC4El100k/Run-4-eventloop-100000-10   27.50 ± 35%   25.50 ± 33%       ~ (p=0.423 n=10)
GC4El200k/Run-4-eventloop-200000-10   27.50 ± 53%   20.50 ± 66%       ~ (p=0.642 n=10)
GC4El500k/Run-4-eventloop-500000-10   16.00 ±   ?   18.00 ±   ?       ~ (p=0.357 n=10)
geomean                               22.96         21.11        -8.04%

 
                                    │     old      │                 new                 │
                                    │  allocs/op   │ allocs/op   vs base                 │
GC4El100k/Run-4-eventloop-100000-10   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
GC4El200k/Run-4-eventloop-200000-10   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
GC4El500k/Run-4-eventloop-500000-10   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
geomean                                          ²               +0.00%                ²
¹ all samples are equal
² summaries must be >0 to compute geomean
The more connections there are, the more pronounced the effect.
While we have performed sufficient testing on matrix, we are still using map as the default connection storage in this RC version for the sake of caution, but you can enable the new data structure by specifying build tags: -tags=gc_opt. This can be considered as a precautionary measure so that in case matrix has any unexpected bugs, you can quickly fall back to the default map. We will consider promoting matrix to be the default storage for connections in a subsequent official release.
Another significant leap is #461, you can now run gnet on Windows, it should be noted that the Windows version of gnet is intended for development purposes and is not recommended for use in production.
Visit the release notes for more details.
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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Announcing gnet v2.5.0
Hello World! We present you, gnet v2.5.0!
type: announcementdomain: presentation
The v2.5.0 for gnet is officially released!
The two major updates in this release are feat: support edge-triggered I/O and feat: support multiple network addresses binding.
Intro
In #576, gnet implemented edge-triggered I/O on the basis of EPOLLET in epoll and EV_CLEAR in kqueue. Before v2.5.0, gnet had been using level-triggered I/O under the hood, now developers are able to switch to edge-triggered I/O via the functional option: EdgeTriggeredIO when developing and deploying gnet services. In certain specific scenarios, edge-triggered I/O may outperform level-triggered I/O, as a result of which, switching gnet from LT mode to ET mode can lead to significant performance improvements. But note that this performance boost is only a theoretical inference and may only occur under specific circumstances. Therefore, please use ET mode with caution and conduct benchmark tests to collect sufficient numbers before the deployment in production.
Another useful new feature is #578, with which developers are allowed to bind multiple addresses(IP:Port) in one gnet instance. This feature makes it possible to build and run a gnet server that serves various protocols or a specific set of backend services.
In addition to these two major features, we've also made a good deal of code optimizations: refactoring and streamlining the core code, as well as optimising the structure.
Visit the release notes for more details.
P.S. Follow me on Twitter @panjf2000 to get the latest updates about gnet!
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

+
 /  / 2 min read
Announcing gnet v2.5.0
Hello World! We present you, gnet v2.5.0!
type: announcementdomain: presentation
The v2.5.0 for gnet is officially released!
The two major updates in this release are feat: support edge-triggered I/O and feat: support multiple network addresses binding.
Intro
In #576, gnet implemented edge-triggered I/O on the basis of EPOLLET in epoll and EV_CLEAR in kqueue. Before v2.5.0, gnet had been using level-triggered I/O under the hood, now developers are able to switch to edge-triggered I/O via the functional option: EdgeTriggeredIO when developing and deploying gnet services. In certain specific scenarios, edge-triggered I/O may outperform level-triggered I/O, as a result of which, switching gnet from LT mode to ET mode can lead to significant performance improvements. But note that this performance boost is only a theoretical inference and may only occur under specific circumstances. Therefore, please use ET mode with caution and conduct benchmark tests to collect sufficient numbers before the deployment in production.
Another useful new feature is #578, with which developers are allowed to bind multiple addresses(IP:Port) in one gnet instance. This feature makes it possible to build and run a gnet server that serves various protocols or a specific set of backend services.
In addition to these two major features, we've also made a good deal of code optimizations: refactoring and streamlining the core code, as well as optimising the structure.
Visit the release notes for more details.
P.S. Follow me on Twitter @panjf2000 to get the latest updates about gnet!
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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Announcing gnet v2.6.0
Hello World! We present you, gnet v2.6.0!
type: announcementdomain: presentation
The gnet v2.6.0 is officially released!
The two major updates in this release are feat: support configurable I/O chunk to drain at a time in edge-triggered mode and feat: support SO_BINDTODEVICE on Linux.
Intro
In gnet v2.5.0, we implemented edge-triggered I/O where the default chunk to read/write per event loop is 1MB and it's a constant value. However, in some scenarios, developers may want to adjust the chunk size to optimize the performance of their applications. In this release, we've added a new feature that allows developers to configure the I/O chunk size to drain/pump at a time in edge-triggered mode. This feature is especially useful for applications that require fine-tuning the I/O chunk size to achieve better performance.
Along with this new release comes another highlight: the support for SO_BINDTODEVICE on Linux. This feature allows developers to bind a gnet server to a specific network interface on a multi-homed host, which enables them to receive unicast packets only from that particular network interface and ignore packets from other interfaces. It is particularly useful for UDP servers that only want to process unicast packets from one interface while receiving broadcast packets.
Moreover, some critical bug fixes are included in this release, which further enhances the stability and reliability of gnet. Thus, we recommend all users to upgrade to the latest version to enjoy the new features and improvements. It should be noted that starting from this release, gnet will only support Go 1.20 or later versions.
For more details, please refer to the release notes.
P.S. Follow me on Twitter @panjf2000 to get the latest updates about gnet!
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

+
 /  / 2 min read
Announcing gnet v2.6.0
Hello World! We present you, gnet v2.6.0!
type: announcementdomain: presentation
The gnet v2.6.0 is officially released!
The two major updates in this release are feat: support configurable I/O chunk to drain at a time in edge-triggered mode and feat: support SO_BINDTODEVICE on Linux.
Intro
In gnet v2.5.0, we implemented edge-triggered I/O where the default chunk to read/write per event loop is 1MB and it's a constant value. However, in some scenarios, developers may want to adjust the chunk size to optimize the performance of their applications. In this release, we've added a new feature that allows developers to configure the I/O chunk size to drain/pump at a time in edge-triggered mode. This feature is especially useful for applications that require fine-tuning the I/O chunk size to achieve better performance.
Along with this new release comes another highlight: the support for SO_BINDTODEVICE on Linux. This feature allows developers to bind a gnet server to a specific network interface on a multi-homed host, which enables them to receive unicast packets only from that particular network interface and ignore packets from other interfaces. It is particularly useful for UDP servers that only want to process unicast packets from one interface while receiving broadcast packets.
Moreover, some critical bug fixes are included in this release, which further enhances the stability and reliability of gnet. Thus, we recommend all users to upgrade to the latest version to enjoy the new features and improvements. It should be noted that starting from this release, gnet will only support Go 1.20 or later versions.
For more details, please refer to the release notes.
P.S. Follow me on Twitter @panjf2000 to get the latest updates about gnet!
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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Announcing gnet v2.0.0
Hello World! We present you, gnet v2.0.0!
type: announcementdomain: presentation
Today, I'm thrilled to announce the release of gnet v2.0.0, in which we've made plenty of significant improvements and optimizations: added and removed some APIs, redesigned and reimplemented the buffer, optimized the memory pool, etc.
In this blog post, we'll go through the most notable changes to gnet 2.0.
P.S. Follow me on Twitter @panjf2000 to get the latest updates about gnet!
Features
  • The built-in codecs have been deprecated and removed, to reduce the complexity and keep gnet simple. From a lot of feedback we've received, this feature does not bring convenience and benefits to users, thus, I decided to take it off from gnet. Cutting those codecs off makes the code on top of gnet more holistic and straightforward, see a simple example for details.
  • gnet.Conn now implements io.Reader, io.Writer, io.ReaderFrom, io.WriterTo and net.Conn, apart from that, it also implements the gnet.Socket interface, providing more API's for users to manipulate the connections.
  • gnet now supports vectored I/O, allowing users to read from a vector of buffers and write to a single data stream, a vectored I/O implementation can provide improved performance over a linear I/O implementation via internal optimizations. API's for vectored I/O in gnet are Conn.Writev([][]byte) and Conn.AsyncWritev([][]byte, AsyncCallback).
Visit gnet API doc for more details.
Note that some event handlers' name has been changed in gnet v2, learn about the details in the table below:
Old event handlerNew event handlerNote
OnInitCompleteOnBoot
OnShutdownOnShutdown
OnOpenedOnOpen
OnClosedOnClose
ReactOnTraffic
TickOnTick
PreWrite-Deprecated
AfterWrite-Deprecated
Optimizations
We redesigned and reimplemented the internal buffers for connections, the diagram shows below:
We go from the ring-buffer to the mixed-buffer that combines ring-buffer and a kind of new buffer type: linked-list buffer, which makes it more flexible and efficient, this new elastic buffer can save more memory.
Performance
We've run a simple echo benchmark on Linux between v1.5.3 and v2.0.0, the results are shown below：
Environment
# Machine information
        OS : Ubuntu 20.04/x86_64
       CPU : 8 CPU cores, AMD EPYC 7K62 48-Core Processor
    Memory : 16.0 GiB

+
 /  / 5 min read
Announcing gnet v2.0.0
Hello World! We present you, gnet v2.0.0!
type: announcementdomain: presentation
Today, I'm thrilled to announce the release of gnet v2.0.0, in which we've made plenty of significant improvements and optimizations: added and removed some APIs, redesigned and reimplemented the buffer, optimized the memory pool, etc.
In this blog post, we'll go through the most notable changes to gnet 2.0.
P.S. Follow me on Twitter @panjf2000 to get the latest updates about gnet!
Features
  • The built-in codecs have been deprecated and removed, to reduce the complexity and keep gnet simple. From a lot of feedback we've received, this feature does not bring convenience and benefits to users, thus, I decided to take it off from gnet. Cutting those codecs off makes the code on top of gnet more holistic and straightforward, see a simple example for details.
  • gnet.Conn now implements io.Reader, io.Writer, io.ReaderFrom, io.WriterTo and net.Conn, apart from that, it also implements the gnet.Socket interface, providing more API's for users to manipulate the connections.
  • gnet now supports vectored I/O, allowing users to read from a vector of buffers and write to a single data stream, a vectored I/O implementation can provide improved performance over a linear I/O implementation via internal optimizations. API's for vectored I/O in gnet are Conn.Writev([][]byte) and Conn.AsyncWritev([][]byte, AsyncCallback).
Visit gnet API doc for more details.
Note that some event handlers' name has been changed in gnet v2, learn about the details in the table below:
Old event handlerNew event handlerNote
OnInitCompleteOnBoot
OnShutdownOnShutdown
OnOpenedOnOpen
OnClosedOnClose
ReactOnTraffic
TickOnTick
PreWrite-Deprecated
AfterWrite-Deprecated
Optimizations
We redesigned and reimplemented the internal buffers for connections, the diagram shows below:
We go from the ring-buffer to the mixed-buffer that combines ring-buffer and a kind of new buffer type: linked-list buffer, which makes it more flexible and efficient, this new elastic buffer can save more memory.
Performance
We've run a simple echo benchmark on Linux between v1.5.3 and v2.0.0, the results are shown below：
Environment
# Machine information
        OS : Ubuntu 20.04/x86_64
       CPU : 8 CPU cores, AMD EPYC 7K62 48-Core Processor
    Memory : 16.0 GiB

 
# Go version and settings
Go Version : go1.17.2 linux/amd64
GOMAXPROCS : 8

 
# Benchmark parameters
TCP connections : 1000
Packet size     : 1024 bytes
Test duration   : 15s
v1.5.3
--- GNET ---

 
Warming up for 1 seconds...
2022/02/27 17:23:21 Echo server is listening on 127.0.0.1:7002 (multi-cores: true, event-loops: 8)

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The gnet Blog
gnet is a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go, created by Andy Pan.
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The gnet Blog
gnet is a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go, created by Andy Pan.
Follow @panjf2000
Get real-time updates!
Looking for product updates & announcements?
 Check out the highlights section

 

 
 
 
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diff --git a/c4f5d8e4.ee212d95.js b/c4f5d8e4.38cfeaa6.js
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t=e.theme,n=t.spacing,r=t.borderRadius;return{label:"multiValue",backgroundColor:t.colors.neutral10,borderRadius:r/2,display:"flex",margin:n.baseUnit/2,minWidth:0}},multiValueLabel:function(e){var t=e.theme,n=t.borderRadius,r=t.colors,i=e.cropWithEllipsis;return{borderRadius:n/2,color:r.neutral80,fontSize:"85%",overflow:"hidden",padding:3,paddingLeft:6,textOverflow:i?"ellipsis":null,whiteSpace:"nowrap"}},multiValueRemove:function(e){var t=e.theme,n=t.spacing,r=t.borderRadius,i=t.colors;return{alignItems:"center",borderRadius:r/2,backgroundColor:e.isFocused&&i.dangerLight,display:"flex",paddingLeft:n.baseUnit,paddingRight:n.baseUnit,":hover":{backgroundColor:i.dangerLight,color:i.danger}}},noOptionsMessage:ge,option:function(e){var t=e.isDisabled,n=e.isFocused,r=e.isSelected,i=e.theme,o=i.spacing,a=i.colors;return{label:"option",backgroundColor:r?a.primary:n?a.primary25:"transparent",color:t?a.neutral20:r?a.neutral0:"inherit",cursor:"default",display:"block",fontSize:"inherit",padding:2*o.baseUnit+"px "+3*o.baseUnit+"px",width:"100%",userSelect:"none",WebkitTapHighlightColor:"rgba(0, 0, 0, 0)",":active":{backgroundColor:!t&&(r?a.primary:a.primary50)}}},placeholder:function(e){var t=e.theme,n=t.spacing;return{label:"placeholder",color:t.colors.neutral50,marginLeft:n.baseUnit/2,marginRight:n.baseUnit/2,position:"absolute",top:"50%",transform:"translateY(-50%)"}},singleValue:function(e){var t=e.isDisabled,n=e.theme,r=n.spacing,i=n.colors;return{label:"singleValue",color:t?i.neutral40:i.neutral80,marginLeft:r.baseUnit/2,marginRight:r.baseUnit/2,maxWidth:"calc(100% - "+2*r.baseUnit+"px)",overflow:"hidden",position:"absolute",textOverflow:"ellipsis",whiteSpace:"nowrap",top:"50%",transform:"translateY(-50%)"}},valueContainer:function(e){var t=e.theme.spacing;return{alignItems:"center",display:"flex",flex:1,flexWrap:"wrap",padding:t.baseUnit/2+"px "+2*t.baseUnit+"px",WebkitOverflowScrolling:"touch",position:"relative",overflow:"hidden"}}};var kt={borderRadius:4,colors:{primary:"#2684FF",primary75:"#4C9AFF",primary50:"#B2D4FF",primary25:"#DEEBFF",danger:"#DE350B",dangerLight:"#FFBDAD",neutral0:"hsl(0, 0%, 100%)",neutral5:"hsl(0, 0%, 95%)",neutral10:"hsl(0, 0%, 90%)",neutral20:"hsl(0, 0%, 80%)",neutral30:"hsl(0, 0%, 70%)",neutral40:"hsl(0, 0%, 60%)",neutral50:"hsl(0, 0%, 50%)",neutral60:"hsl(0, 0%, 40%)",neutral70:"hsl(0, 0%, 30%)",neutral80:"hsl(0, 0%, 20%)",neutral90:"hsl(0, 0%, 10%)"},spacing:{baseUnit:4,controlHeight:38,menuGutter:8}};function St(){return(St=Object.assign||function(e){for(var t=1;t-1},formatGroupLabel:function(e){return e.label},getOptionLabel:function(e){return e.label},getOptionValue:function(e){return e.value},isDisabled:!1,isLoading:!1,isMulti:!1,isRtl:!1,isSearchable:!0,isOptionDisabled:At,loadingMessage:function(){return"Loading..."},maxMenuHeight:300,minMenuHeight:140,menuIsOpen:!1,menuPlacement:"bottom",menuPosition:"absolute",menuShouldBlockScroll:!1,menuShouldScrollIntoView:!function(){try{return/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent)}catch(e){return!1}}(),noOptionsMessage:function(){return"No options"},openMenuOnFocus:!1,openMenuOnClick:!0,options:[],pageSize:5,placeholder:"Select...",screenReaderStatus:function(e){var t=e.count;return t+" result"+(1!==t?"s":"")+" available"},styles:{},tabIndex:"0",tabSelectsValue:!0},jt=1,Nt=function(e){var t,n;function r(t){var n;(n=e.call(this,t)||this).state={ariaLiveSelection:"",ariaLiveContext:"",focusedOption:null,focusedValue:null,inputIsHidden:!1,isFocused:!1,menuOptions:{render:[],focusable:[]},selectValue:[]},n.blockOptionHover=!1,n.isComposing=!1,n.clearFocusValueOnUpdate=!1,n.commonProps=void 0,n.components=void 0,n.hasGroups=!1,n.initialTouchX=0,n.initialTouchY=0,n.inputIsHiddenAfterUpdate=void 0,n.instancePrefix="",n.openAfterFocus=!1,n.scrollToFocusedOptionOnUpdate=!1,n.userIsDragging=void 0,n.controlRef=null,n.getControlRef=function(e){n.controlRef=e},n.focusedOptionRef=null,n.getFocusedOptionRef=function(e){n.focusedOptionRef=e},n.menuListRef=null,n.getMenuListRef=function(e){n.menuListRef=e},n.inputRef=null,n.getInputRef=function(e){n.inputRef=e},n.cacheComponents=function(e){n.components=Xe({},Je,{components:e}.components)},n.focus=n.focusInput,n.blur=n.blurInput,n.onChange=function(e,t){var r=n.props;(0,r.onChange)(e,St({},t,{name:r.name}))},n.setValue=function(e,t,r){void 0===t&&(t="set-value");var i=n.props,o=i.closeMenuOnSelect,a=i.isMulti;n.onInputChange("",{action:"set-value"}),o&&(n.inputIsHiddenAfterUpdate=!a,n.onMenuClose()),n.clearFocusValueOnUpdate=!0,n.onChange(e,{action:t,option:r})},n.selectOption=function(e){var t=n.props,r=t.blurInputOnSelect,i=t.isMulti,o=n.state.selectValue;if(i)if(n.isOptionSelected(e,o)){var a=n.getOptionValue(e);n.setValue(o.filter((function(e){return n.getOptionValue(e)!==a})),"deselect-option",e),n.announceAriaLiveSelection({event:"deselect-option",context:{value:n.getOptionLabel(e)}})}else n.isOptionDisabled(e,o)?n.announceAriaLiveSelection({event:"select-option",context:{value:n.getOptionLabel(e),isDisabled:!0}}):(n.setValue([].concat(o,[e]),"select-option",e),n.announceAriaLiveSelection({event:"select-option",context:{value:n.getOptionLabel(e)}}));else n.isOptionDisabled(e,o)?n.announceAriaLiveSelection({event:"select-option",context:{value:n.getOptionLabel(e),isDisabled:!0}}):(n.setValue(e,"select-option"),n.announceAriaLiveSelection({event:"select-option",context:{value:n.getOptionLabel(e)}}));r&&n.blurInput()},n.removeValue=function(e){var t=n.state.selectValue,r=n.getOptionValue(e),i=t.filter((function(e){return n.getOptionValue(e)!==r}));n.onChange(i.length?i:null,{action:"remove-value",removedValue:e}),n.announceAriaLiveSelection({event:"remove-value",context:{value:e?n.getOptionLabel(e):""}}),n.focusInput()},n.clearValue=function(){var e=n.props.isMulti;n.onChange(e?[]:null,{action:"clear"})},n.popValue=function(){var e=n.state.selectValue,t=e[e.length-1],r=e.slice(0,e.length-1);n.announceAriaLiveSelection({event:"pop-value",context:{value:t?n.getOptionLabel(t):""}}),n.onChange(r.length?r:null,{action:"pop-value",removedValue:t})},n.getOptionLabel=function(e){return n.props.getOptionLabel(e)},n.getOptionValue=function(e){return n.props.getOptionValue(e)},n.getStyles=function(e,t){var r=xt[e](t);r.boxSizing="border-box";var i=n.props.styles[e];return i?i(r,t):r},n.getElementId=function(e){return n.instancePrefix+"-"+e},n.getActiveDescendentId=function(){var e=n.props.menuIsOpen,t=n.state,r=t.menuOptions,i=t.focusedOption;if(i&&e){var o=r.focusable.indexOf(i),a=r.render[o];return a&&a.key}},n.announceAriaLiveSelection=function(e){var t=e.event,r=e.context;n.setState({ariaLiveSelection:Ct(t,r)})},n.announceAriaLiveContext=function(e){var t=e.event,r=e.context;n.setState({ariaLiveContext:Ot(t,St({},r,{label:n.props["aria-label"]}))})},n.onMenuMouseDown=function(e){0===e.button&&(e.stopPropagation(),e.preventDefault(),n.focusInput())},n.onMenuMouseMove=function(e){n.blockOptionHover=!1},n.onControlMouseDown=function(e){var t=n.props.openMenuOnClick;n.state.isFocused?n.props.menuIsOpen?"INPUT"!==e.target.tagName&&"TEXTAREA"!==e.target.tagName&&n.onMenuClose():t&&n.openMenu("first"):(t&&(n.openAfterFocus=!0),n.focusInput()),"INPUT"!==e.target.tagName&&"TEXTAREA"!==e.target.tagName&&e.preventDefault()},n.onDropdownIndicatorMouseDown=function(e){if(!(e&&"mousedown"===e.type&&0!==e.button||n.props.isDisabled)){var t=n.props,r=t.isMulti,i=t.menuIsOpen;n.focusInput(),i?(n.inputIsHiddenAfterUpdate=!r,n.onMenuClose()):n.openMenu("first"),e.preventDefault(),e.stopPropagation()}},n.onClearIndicatorMouseDown=function(e){e&&"mousedown"===e.type&&0!==e.button||(n.clearValue(),e.stopPropagation(),n.openAfterFocus=!1,"touchend"===e.type?n.focusInput():setTimeout((function(){return n.focusInput()})))},n.onScroll=function(e){"boolean"==typeof n.props.closeMenuOnScroll?e.target instanceof HTMLElement&&ie(e.target)&&n.props.onMenuClose():"function"==typeof n.props.closeMenuOnScroll&&n.props.closeMenuOnScroll(e)&&n.props.onMenuClose()},n.onCompositionStart=function(){n.isComposing=!0},n.onCompositionEnd=function(){n.isComposing=!1},n.onTouchStart=function(e){var t=e.touches.item(0);t&&(n.initialTouchX=t.clientX,n.initialTouchY=t.clientY,n.userIsDragging=!1)},n.onTouchMove=function(e){var t=e.touches.item(0);if(t){var r=Math.abs(t.clientX-n.initialTouchX),i=Math.abs(t.clientY-n.initialTouchY);n.userIsDragging=r>5||i>5}},n.onTouchEnd=function(e){n.userIsDragging||(n.controlRef&&!n.controlRef.contains(e.target)&&n.menuListRef&&!n.menuListRef.contains(e.target)&&n.blurInput(),n.initialTouchX=0,n.initialTouchY=0)},n.onControlTouchEnd=function(e){n.userIsDragging||n.onControlMouseDown(e)},n.onClearIndicatorTouchEnd=function(e){n.userIsDragging||n.onClearIndicatorMouseDown(e)},n.onDropdownIndicatorTouchEnd=function(e){n.userIsDragging||n.onDropdownIndicatorMouseDown(e)},n.handleInputChange=function(e){var t=e.currentTarget.value;n.inputIsHiddenAfterUpdate=!1,n.onInputChange(t,{action:"input-change"}),n.onMenuOpen()},n.onInputFocus=function(e){var t=n.props,r=t.isSearchable,i=t.isMulti;n.props.onFocus&&n.props.onFocus(e),n.inputIsHiddenAfterUpdate=!1,n.announceAriaLiveContext({event:"input",context:{isSearchable:r,isMulti:i}}),n.setState({isFocused:!0}),(n.openAfterFocus||n.props.openMenuOnFocus)&&n.openMenu("first"),n.openAfterFocus=!1},n.onInputBlur=function(e){n.menuListRef&&n.menuListRef.contains(document.activeElement)?n.inputRef.focus():(n.props.onBlur&&n.props.onBlur(e),n.onInputChange("",{action:"input-blur"}),n.onMenuClose(),n.setState({focusedValue:null,isFocused:!1}))},n.onOptionHover=function(e){n.blockOptionHover||n.state.focusedOption===e||n.setState({focusedOption:e})},n.shouldHideSelectedOptions=function(){var e=n.props,t=e.hideSelectedOptions,r=e.isMulti;return void 0===t?r:t},n.onKeyDown=function(e){var t=n.props,r=t.isMulti,i=t.backspaceRemovesValue,o=t.escapeClearsValue,a=t.inputValue,u=t.isClearable,s=t.isDisabled,l=t.menuIsOpen,c=t.onKeyDown,f=t.tabSelectsValue,p=t.openMenuOnFocus,d=n.state,h=d.focusedOption,v=d.focusedValue,m=d.selectValue;if(!(s||"function"==typeof c&&(c(e),e.defaultPrevented))){switch(n.blockOptionHover=!0,e.key){case"ArrowLeft":if(!r||a)return;n.focusValue("previous");break;case"ArrowRight":if(!r||a)return;n.focusValue("next");break;case"Delete":case"Backspace":if(a)return;if(v)n.removeValue(v);else{if(!i)return;r?n.popValue():u&&n.clearValue()}break;case"Tab":if(n.isComposing)return;if(e.shiftKey||!l||!f||!h||p&&n.isOptionSelected(h,m))return;n.selectOption(h);break;case"Enter":if(229===e.keyCode)break;if(l){if(!h)return;if(n.isComposing)return;n.selectOption(h);break}return;case"Escape":l?(n.inputIsHiddenAfterUpdate=!1,n.onInputChange("",{action:"menu-close"}),n.onMenuClose()):u&&o&&n.clearValue();break;case" ":if(a)return;if(!l){n.openMenu("first");break}if(!h)return;n.selectOption(h);break;case"ArrowUp":l?n.focusOption("up"):n.openMenu("last");break;case"ArrowDown":l?n.focusOption("down"):n.openMenu("first");break;case"PageUp":if(!l)return;n.focusOption("pageup");break;case"PageDown":if(!l)return;n.focusOption("pagedown");break;case"Home":if(!l)return;n.focusOption("first");break;case"End":if(!l)return;n.focusOption("last");break;default:return}e.preventDefault()}},n.buildMenuOptions=function(e,t){var r=e.inputValue,i=void 0===r?"":r,o=e.options,a=function(e,r){var o=n.isOptionDisabled(e,t),a=n.isOptionSelected(e,t),u=n.getOptionLabel(e),s=n.getOptionValue(e);if(!(n.shouldHideSelectedOptions()&&a||!n.filterOption({label:u,value:s,data:e},i))){var l=o?void 0:function(){return n.onOptionHover(e)},c=o?void 0:function(){return n.selectOption(e)},f=n.getElementId("option")+"-"+r;return{innerProps:{id:f,onClick:c,onMouseMove:l,onMouseOver:l,tabIndex:-1},data:e,isDisabled:o,isSelected:a,key:f,label:u,type:"option",value:s}}};return o.reduce((function(e,t,r){if(t.options){n.hasGroups||(n.hasGroups=!0);var i=t.options.map((function(t,n){var i=a(t,r+"-"+n);return i&&e.focusable.push(t),i})).filter(Boolean);if(i.length){var o=n.getElementId("group")+"-"+r;e.render.push({type:"group",key:o,data:t,options:i})}}else{var u=a(t,""+r);u&&(e.render.push(u),e.focusable.push(t))}return e}),{render:[],focusable:[]})};var r=t.value;n.cacheComponents=h(n.cacheComponents,Ae).bind(Ft(Ft(n))),n.cacheComponents(t.components),n.instancePrefix="react-select-"+(n.props.instanceId||++jt);var i=re(r);n.buildMenuOptions=h(n.buildMenuOptions,(function(e,t){var n=e,r=n[0],i=n[1],o=t,a=o[0];return Ae(i,o[1])&&Ae(r.inputValue,a.inputValue)&&Ae(r.options,a.options)})).bind(Ft(Ft(n)));var o=t.menuIsOpen?n.buildMenuOptions(t,i):{render:[],focusable:[]};return n.state.menuOptions=o,n.state.selectValue=i,n}n=e,(t=r).prototype=Object.create(n.prototype),t.prototype.constructor=t,t.__proto__=n;var i=r.prototype;return i.componentDidMount=function(){this.startListeningComposition(),this.startListeningToTouch(),this.props.closeMenuOnScroll&&document&&document.addEventListener&&document.addEventListener("scroll",this.onScroll,!0),this.props.autoFocus&&this.focusInput()},i.UNSAFE_componentWillReceiveProps=function(e){var t=this.props,n=t.options,r=t.value,i=t.menuIsOpen,o=t.inputValue;if(this.cacheComponents(e.components),e.value!==r||e.options!==n||e.menuIsOpen!==i||e.inputValue!==o){var a=re(e.value),u=e.menuIsOpen?this.buildMenuOptions(e,a):{render:[],focusable:[]},s=this.getNextFocusedValue(a),l=this.getNextFocusedOption(u.focusable);this.setState({menuOptions:u,selectValue:a,focusedOption:l,focusedValue:s})}null!=this.inputIsHiddenAfterUpdate&&(this.setState({inputIsHidden:this.inputIsHiddenAfterUpdate}),delete this.inputIsHiddenAfterUpdate)},i.componentDidUpdate=function(e){var t,n,r,i,o,a=this.props,u=a.isDisabled,s=a.menuIsOpen,l=this.state.isFocused;(l&&!u&&e.isDisabled||l&&s&&!e.menuIsOpen)&&this.focusInput(),this.menuListRef&&this.focusedOptionRef&&this.scrollToFocusedOptionOnUpdate&&(t=this.menuListRef,n=this.focusedOptionRef,r=t.getBoundingClientRect(),i=n.getBoundingClientRect(),o=n.offsetHeight/3,i.bottom+o>r.bottom?ae(t,Math.min(n.offsetTop+n.clientHeight-t.offsetHeight+o,t.scrollHeight)):i.top-o-1&&(u=s)}this.scrollToFocusedOptionOnUpdate=!(i&&this.menuListRef),this.inputIsHiddenAfterUpdate=!1,this.setState({menuOptions:o,focusedValue:null,focusedOption:o.focusable[u]},(function(){t.onMenuOpen(),t.announceAriaLiveContext({event:"menu"})}))},i.focusValue=function(e){var t=this.props,n=t.isMulti,r=t.isSearchable,i=this.state,o=i.selectValue,a=i.focusedValue;if(n){this.setState({focusedOption:null});var u=o.indexOf(a);a||(u=-1,this.announceAriaLiveContext({event:"value"}));var s=o.length-1,l=-1;if(o.length){switch(e){case"previous":l=0===u?0:-1===u?s:u-1;break;case"next":u>-1&&u0?a-1:i.length-1:"down"===e?o=(a+1)%i.length:"pageup"===e?(o=a-t)<0&&(o=0):"pagedown"===e?(o=a+t)>i.length-1&&(o=i.length-1):"last"===e&&(o=i.length-1),this.scrollToFocusedOptionOnUpdate=!0,this.setState({focusedOption:i[o],focusedValue:null}),this.announceAriaLiveContext({event:"menu",context:{isDisabled:At(i[o])}})}},i.getTheme=function(){return this.props.theme?"function"==typeof this.props.theme?this.props.theme(kt):St({},kt,this.props.theme):kt},i.getCommonProps=function(){var e=this.clearValue,t=this.getStyles,n=this.setValue,r=this.selectOption,i=this.props,o=i.classNamePrefix,a=i.isMulti,u=i.isRtl,s=i.options,l=this.state.selectValue,c=this.hasValue();return{cx:ne.bind(null,o),clearValue:e,getStyles:t,getValue:function(){return l},hasValue:c,isMulti:a,isRtl:u,options:s,selectOption:r,setValue:n,selectProps:i,theme:this.getTheme()}},i.getNextFocusedValue=function(e){if(this.clearFocusValueOnUpdate)return this.clearFocusValueOnUpdate=!1,null;var t=this.state,n=t.focusedValue,r=t.selectValue.indexOf(n);if(r>-1){if(e.indexOf(n)>-1)return n;if(r-1?t:e[0]},i.hasValue=function(){return this.state.selectValue.length>0},i.hasOptions=function(){return!!this.state.menuOptions.render.length},i.countOptions=function(){return this.state.menuOptions.focusable.length},i.isClearable=function(){var e=this.props,t=e.isClearable,n=e.isMulti;return void 0===t?n:t},i.isOptionDisabled=function(e,t){return"function"==typeof this.props.isOptionDisabled&&this.props.isOptionDisabled(e,t)},i.isOptionSelected=function(e,t){var n=this;if(t.indexOf(e)>-1)return!0;if("function"==typeof this.props.isOptionSelected)return this.props.isOptionSelected(e,t);var r=this.getOptionValue(e);return t.some((function(e){return n.getOptionValue(e)===r}))},i.filterOption=function(e,t){return!this.props.filterOption||this.props.filterOption(e,t)},i.formatOptionLabel=function(e,t){if("function"==typeof this.props.formatOptionLabel){var n=this.props.inputValue,r=this.state.selectValue;return this.props.formatOptionLabel(e,{context:t,inputValue:n,selectValue:r})}return this.getOptionLabel(e)},i.formatGroupLabel=function(e){return this.props.formatGroupLabel(e)},i.startListeningComposition=function(){document&&document.addEventListener&&(document.addEventListener("compositionstart",this.onCompositionStart,!1),document.addEventListener("compositionend",this.onCompositionEnd,!1))},i.stopListeningComposition=function(){document&&document.removeEventListener&&(document.removeEventListener("compositionstart",this.onCompositionStart),document.removeEventListener("compositionend",this.onCompositionEnd))},i.startListeningToTouch=function(){document&&document.addEventListener&&(document.addEventListener("touchstart",this.onTouchStart,!1),document.addEventListener("touchmove",this.onTouchMove,!1),document.addEventListener("touchend",this.onTouchEnd,!1))},i.stopListeningToTouch=function(){document&&document.removeEventListener&&(document.removeEventListener("touchstart",this.onTouchStart),document.removeEventListener("touchmove",this.onTouchMove),document.removeEventListener("touchend",this.onTouchEnd))},i.constructAriaLiveMessage=function(){var e=this.state,t=e.ariaLiveContext,n=e.selectValue,r=e.focusedValue,i=e.focusedOption,o=this.props,a=o.options,u=o.menuIsOpen,s=o.inputValue,l=o.screenReaderStatus;return(r?function(e){var t=e.focusedValue,n=e.getOptionLabel,r=e.selectValue;return"value "+n(t)+" focused, "+(r.indexOf(t)+1)+" of "+r.length+"."}({focusedValue:r,getOptionLabel:this.getOptionLabel,selectValue:n}):"")+" "+(i&&u?function(e){var t=e.focusedOption,n=e.getOptionLabel,r=e.options;return"option "+n(t)+" focused"+(t.isDisabled?" disabled":"")+", "+(r.indexOf(t)+1)+" of "+r.length+"."}({focusedOption:i,getOptionLabel:this.getOptionLabel,options:a}):"")+" "+function(e){var t=e.inputValue;return e.screenReaderMessage+(t?" for search term "+t:"")+"."}({inputValue:s,screenReaderMessage:l({count:this.countOptions()})})+" "+t},i.renderInput=function(){var 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t=e.isDisabled,n=e.isFocused,r=e.isSelected,i=e.theme,o=i.spacing,a=i.colors;return{label:"option",backgroundColor:r?a.primary:n?a.primary25:"transparent",color:t?a.neutral20:r?a.neutral0:"inherit",cursor:"default",display:"block",fontSize:"inherit",padding:2*o.baseUnit+"px "+3*o.baseUnit+"px",width:"100%",userSelect:"none",WebkitTapHighlightColor:"rgba(0, 0, 0, 0)",":active":{backgroundColor:!t&&(r?a.primary:a.primary50)}}},placeholder:function(e){var t=e.theme,n=t.spacing;return{label:"placeholder",color:t.colors.neutral50,marginLeft:n.baseUnit/2,marginRight:n.baseUnit/2,position:"absolute",top:"50%",transform:"translateY(-50%)"}},singleValue:function(e){var t=e.isDisabled,n=e.theme,r=n.spacing,i=n.colors;return{label:"singleValue",color:t?i.neutral40:i.neutral80,marginLeft:r.baseUnit/2,marginRight:r.baseUnit/2,maxWidth:"calc(100% - 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n;(n=e.call(this,t)||this).state={ariaLiveSelection:"",ariaLiveContext:"",focusedOption:null,focusedValue:null,inputIsHidden:!1,isFocused:!1,menuOptions:{render:[],focusable:[]},selectValue:[]},n.blockOptionHover=!1,n.isComposing=!1,n.clearFocusValueOnUpdate=!1,n.commonProps=void 0,n.components=void 0,n.hasGroups=!1,n.initialTouchX=0,n.initialTouchY=0,n.inputIsHiddenAfterUpdate=void 0,n.instancePrefix="",n.openAfterFocus=!1,n.scrollToFocusedOptionOnUpdate=!1,n.userIsDragging=void 0,n.controlRef=null,n.getControlRef=function(e){n.controlRef=e},n.focusedOptionRef=null,n.getFocusedOptionRef=function(e){n.focusedOptionRef=e},n.menuListRef=null,n.getMenuListRef=function(e){n.menuListRef=e},n.inputRef=null,n.getInputRef=function(e){n.inputRef=e},n.cacheComponents=function(e){n.components=Xe({},Je,{components:e}.components)},n.focus=n.focusInput,n.blur=n.blurInput,n.onChange=function(e,t){var r=n.props;(0,r.onChange)(e,St({},t,{name:r.name}))},n.setValue=function(e,t,r){void 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n.isOptionDisabled(e,o)?n.announceAriaLiveSelection({event:"select-option",context:{value:n.getOptionLabel(e),isDisabled:!0}}):(n.setValue(e,"select-option"),n.announceAriaLiveSelection({event:"select-option",context:{value:n.getOptionLabel(e)}}));r&&n.blurInput()},n.removeValue=function(e){var t=n.state.selectValue,r=n.getOptionValue(e),i=t.filter((function(e){return n.getOptionValue(e)!==r}));n.onChange(i.length?i:null,{action:"remove-value",removedValue:e}),n.announceAriaLiveSelection({event:"remove-value",context:{value:e?n.getOptionLabel(e):""}}),n.focusInput()},n.clearValue=function(){var e=n.props.isMulti;n.onChange(e?[]:null,{action:"clear"})},n.popValue=function(){var e=n.state.selectValue,t=e[e.length-1],r=e.slice(0,e.length-1);n.announceAriaLiveSelection({event:"pop-value",context:{value:t?n.getOptionLabel(t):""}}),n.onChange(r.length?r:null,{action:"pop-value",removedValue:t})},n.getOptionLabel=function(e){return n.props.getOptionLabel(e)},n.getOptionValue=function(e){return n.props.getOptionValue(e)},n.getStyles=function(e,t){var r=xt[e](t);r.boxSizing="border-box";var i=n.props.styles[e];return i?i(r,t):r},n.getElementId=function(e){return n.instancePrefix+"-"+e},n.getActiveDescendentId=function(){var e=n.props.menuIsOpen,t=n.state,r=t.menuOptions,i=t.focusedOption;if(i&&e){var o=r.focusable.indexOf(i),a=r.render[o];return a&&a.key}},n.announceAriaLiveSelection=function(e){var t=e.event,r=e.context;n.setState({ariaLiveSelection:Ct(t,r)})},n.announceAriaLiveContext=function(e){var t=e.event,r=e.context;n.setState({ariaLiveContext:Ot(t,St({},r,{label:n.props["aria-label"]}))})},n.onMenuMouseDown=function(e){0===e.button&&(e.stopPropagation(),e.preventDefault(),n.focusInput())},n.onMenuMouseMove=function(e){n.blockOptionHover=!1},n.onControlMouseDown=function(e){var t=n.props.openMenuOnClick;n.state.isFocused?n.props.menuIsOpen?"INPUT"!==e.target.tagName&&"TEXTAREA"!==e.target.tagName&&n.onMenuClose():t&&n.openMenu("first"):(t&&(n.openAfterFocus=!0),n.focusInput()),"INPUT"!==e.target.tagName&&"TEXTAREA"!==e.target.tagName&&e.preventDefault()},n.onDropdownIndicatorMouseDown=function(e){if(!(e&&"mousedown"===e.type&&0!==e.button||n.props.isDisabled)){var t=n.props,r=t.isMulti,i=t.menuIsOpen;n.focusInput(),i?(n.inputIsHiddenAfterUpdate=!r,n.onMenuClose()):n.openMenu("first"),e.preventDefault(),e.stopPropagation()}},n.onClearIndicatorMouseDown=function(e){e&&"mousedown"===e.type&&0!==e.button||(n.clearValue(),e.stopPropagation(),n.openAfterFocus=!1,"touchend"===e.type?n.focusInput():setTimeout((function(){return n.focusInput()})))},n.onScroll=function(e){"boolean"==typeof n.props.closeMenuOnScroll?e.target instanceof HTMLElement&&ie(e.target)&&n.props.onMenuClose():"function"==typeof n.props.closeMenuOnScroll&&n.props.closeMenuOnScroll(e)&&n.props.onMenuClose()},n.onCompositionStart=function(){n.isComposing=!0},n.onCompositionEnd=function(){n.isComposing=!1},n.onTouchStart=function(e){var t=e.touches.item(0);t&&(n.initialTouchX=t.clientX,n.initialTouchY=t.clientY,n.userIsDragging=!1)},n.onTouchMove=function(e){var t=e.touches.item(0);if(t){var r=Math.abs(t.clientX-n.initialTouchX),i=Math.abs(t.clientY-n.initialTouchY);n.userIsDragging=r>5||i>5}},n.onTouchEnd=function(e){n.userIsDragging||(n.controlRef&&!n.controlRef.contains(e.target)&&n.menuListRef&&!n.menuListRef.contains(e.target)&&n.blurInput(),n.initialTouchX=0,n.initialTouchY=0)},n.onControlTouchEnd=function(e){n.userIsDragging||n.onControlMouseDown(e)},n.onClearIndicatorTouchEnd=function(e){n.userIsDragging||n.onClearIndicatorMouseDown(e)},n.onDropdownIndicatorTouchEnd=function(e){n.userIsDragging||n.onDropdownIndicatorMouseDown(e)},n.handleInputChange=function(e){var t=e.currentTarget.value;n.inputIsHiddenAfterUpdate=!1,n.onInputChange(t,{action:"input-change"}),n.onMenuOpen()},n.onInputFocus=function(e){var t=n.props,r=t.isSearchable,i=t.isMulti;n.props.onFocus&&n.props.onFocus(e),n.inputIsHiddenAfterUpdate=!1,n.announceAriaLiveContext({event:"input",context:{isSearchable:r,isMulti:i}}),n.setState({isFocused:!0}),(n.openAfterFocus||n.props.openMenuOnFocus)&&n.openMenu("first"),n.openAfterFocus=!1},n.onInputBlur=function(e){n.menuListRef&&n.menuListRef.contains(document.activeElement)?n.inputRef.focus():(n.props.onBlur&&n.props.onBlur(e),n.onInputChange("",{action:"input-blur"}),n.onMenuClose(),n.setState({focusedValue:null,isFocused:!1}))},n.onOptionHover=function(e){n.blockOptionHover||n.state.focusedOption===e||n.setState({focusedOption:e})},n.shouldHideSelectedOptions=function(){var e=n.props,t=e.hideSelectedOptions,r=e.isMulti;return void 0===t?r:t},n.onKeyDown=function(e){var t=n.props,r=t.isMulti,i=t.backspaceRemovesValue,o=t.escapeClearsValue,a=t.inputValue,u=t.isClearable,s=t.isDisabled,l=t.menuIsOpen,c=t.onKeyDown,f=t.tabSelectsValue,p=t.openMenuOnFocus,d=n.state,h=d.focusedOption,v=d.focusedValue,m=d.selectValue;if(!(s||"function"==typeof c&&(c(e),e.defaultPrevented))){switch(n.blockOptionHover=!0,e.key){case"ArrowLeft":if(!r||a)return;n.focusValue("previous");break;case"ArrowRight":if(!r||a)return;n.focusValue("next");break;case"Delete":case"Backspace":if(a)return;if(v)n.removeValue(v);else{if(!i)return;r?n.popValue():u&&n.clearValue()}break;case"Tab":if(n.isComposing)return;if(e.shiftKey||!l||!f||!h||p&&n.isOptionSelected(h,m))return;n.selectOption(h);break;case"Enter":if(229===e.keyCode)break;if(l){if(!h)return;if(n.isComposing)return;n.selectOption(h);break}return;case"Escape":l?(n.inputIsHiddenAfterUpdate=!1,n.onInputChange("",{action:"menu-close"}),n.onMenuClose()):u&&o&&n.clearValue();break;case" ":if(a)return;if(!l){n.openMenu("first");break}if(!h)return;n.selectOption(h);break;case"ArrowUp":l?n.focusOption("up"):n.openMenu("last");break;case"ArrowDown":l?n.focusOption("down"):n.openMenu("first");break;case"PageUp":if(!l)return;n.focusOption("pageup");break;case"PageDown":if(!l)return;n.focusOption("pagedown");break;case"Home":if(!l)return;n.focusOption("first");break;case"End":if(!l)return;n.focusOption("last");break;default:return}e.preventDefault()}},n.buildMenuOptions=function(e,t){var r=e.inputValue,i=void 0===r?"":r,o=e.options,a=function(e,r){var o=n.isOptionDisabled(e,t),a=n.isOptionSelected(e,t),u=n.getOptionLabel(e),s=n.getOptionValue(e);if(!(n.shouldHideSelectedOptions()&&a||!n.filterOption({label:u,value:s,data:e},i))){var l=o?void 0:function(){return n.onOptionHover(e)},c=o?void 0:function(){return n.selectOption(e)},f=n.getElementId("option")+"-"+r;return{innerProps:{id:f,onClick:c,onMouseMove:l,onMouseOver:l,tabIndex:-1},data:e,isDisabled:o,isSelected:a,key:f,label:u,type:"option",value:s}}};return o.reduce((function(e,t,r){if(t.options){n.hasGroups||(n.hasGroups=!0);var i=t.options.map((function(t,n){var i=a(t,r+"-"+n);return i&&e.focusable.push(t),i})).filter(Boolean);if(i.length){var o=n.getElementId("group")+"-"+r;e.render.push({type:"group",key:o,data:t,options:i})}}else{var u=a(t,""+r);u&&(e.render.push(u),e.focusable.push(t))}return e}),{render:[],focusable:[]})};var r=t.value;n.cacheComponents=h(n.cacheComponents,Ae).bind(Ft(Ft(n))),n.cacheComponents(t.components),n.instancePrefix="react-select-"+(n.props.instanceId||++jt);var i=re(r);n.buildMenuOptions=h(n.buildMenuOptions,(function(e,t){var n=e,r=n[0],i=n[1],o=t,a=o[0];return Ae(i,o[1])&&Ae(r.inputValue,a.inputValue)&&Ae(r.options,a.options)})).bind(Ft(Ft(n)));var o=t.menuIsOpen?n.buildMenuOptions(t,i):{render:[],focusable:[]};return n.state.menuOptions=o,n.state.selectValue=i,n}n=e,(t=r).prototype=Object.create(n.prototype),t.prototype.constructor=t,t.__proto__=n;var i=r.prototype;return i.componentDidMount=function(){this.startListeningComposition(),this.startListeningToTouch(),this.props.closeMenuOnScroll&&document&&document.addEventListener&&document.addEventListener("scroll",this.onScroll,!0),this.props.autoFocus&&this.focusInput()},i.UNSAFE_componentWillReceiveProps=function(e){var t=this.props,n=t.options,r=t.value,i=t.menuIsOpen,o=t.inputValue;if(this.cacheComponents(e.components),e.value!==r||e.options!==n||e.menuIsOpen!==i||e.inputValue!==o){var a=re(e.value),u=e.menuIsOpen?this.buildMenuOptions(e,a):{render:[],focusable:[]},s=this.getNextFocusedValue(a),l=this.getNextFocusedOption(u.focusable);this.setState({menuOptions:u,selectValue:a,focusedOption:l,focusedValue:s})}null!=this.inputIsHiddenAfterUpdate&&(this.setState({inputIsHidden:this.inputIsHiddenAfterUpdate}),delete this.inputIsHiddenAfterUpdate)},i.componentDidUpdate=function(e){var t,n,r,i,o,a=this.props,u=a.isDisabled,s=a.menuIsOpen,l=this.state.isFocused;(l&&!u&&e.isDisabled||l&&s&&!e.menuIsOpen)&&this.focusInput(),this.menuListRef&&this.focusedOptionRef&&this.scrollToFocusedOptionOnUpdate&&(t=this.menuListRef,n=this.focusedOptionRef,r=t.getBoundingClientRect(),i=n.getBoundingClientRect(),o=n.offsetHeight/3,i.bottom+o>r.bottom?ae(t,Math.min(n.offsetTop+n.clientHeight-t.offsetHeight+o,t.scrollHeight)):i.top-o-1&&(u=s)}this.scrollToFocusedOptionOnUpdate=!(i&&this.menuListRef),this.inputIsHiddenAfterUpdate=!1,this.setState({menuOptions:o,focusedValue:null,focusedOption:o.focusable[u]},(function(){t.onMenuOpen(),t.announceAriaLiveContext({event:"menu"})}))},i.focusValue=function(e){var t=this.props,n=t.isMulti,r=t.isSearchable,i=this.state,o=i.selectValue,a=i.focusedValue;if(n){this.setState({focusedOption:null});var u=o.indexOf(a);a||(u=-1,this.announceAriaLiveContext({event:"value"}));var s=o.length-1,l=-1;if(o.length){switch(e){case"previous":l=0===u?0:-1===u?s:u-1;break;case"next":u>-1&&u0?a-1:i.length-1:"down"===e?o=(a+1)%i.length:"pageup"===e?(o=a-t)<0&&(o=0):"pagedown"===e?(o=a+t)>i.length-1&&(o=i.length-1):"last"===e&&(o=i.length-1),this.scrollToFocusedOptionOnUpdate=!0,this.setState({focusedOption:i[o],focusedValue:null}),this.announceAriaLiveContext({event:"menu",context:{isDisabled:At(i[o])}})}},i.getTheme=function(){return this.props.theme?"function"==typeof this.props.theme?this.props.theme(kt):St({},kt,this.props.theme):kt},i.getCommonProps=function(){var e=this.clearValue,t=this.getStyles,n=this.setValue,r=this.selectOption,i=this.props,o=i.classNamePrefix,a=i.isMulti,u=i.isRtl,s=i.options,l=this.state.selectValue,c=this.hasValue();return{cx:ne.bind(null,o),clearValue:e,getStyles:t,getValue:function(){return l},hasValue:c,isMulti:a,isRtl:u,options:s,selectOption:r,setValue:n,selectProps:i,theme:this.getTheme()}},i.getNextFocusedValue=function(e){if(this.clearFocusValueOnUpdate)return this.clearFocusValueOnUpdate=!1,null;var t=this.state,n=t.focusedValue,r=t.selectValue.indexOf(n);if(r>-1){if(e.indexOf(n)>-1)return n;if(r-1?t:e[0]},i.hasValue=function(){return this.state.selectValue.length>0},i.hasOptions=function(){return!!this.state.menuOptions.render.length},i.countOptions=function(){return this.state.menuOptions.focusable.length},i.isClearable=function(){var e=this.props,t=e.isClearable,n=e.isMulti;return void 0===t?n:t},i.isOptionDisabled=function(e,t){return"function"==typeof this.props.isOptionDisabled&&this.props.isOptionDisabled(e,t)},i.isOptionSelected=function(e,t){var n=this;if(t.indexOf(e)>-1)return!0;if("function"==typeof this.props.isOptionSelected)return this.props.isOptionSelected(e,t);var r=this.getOptionValue(e);return t.some((function(e){return n.getOptionValue(e)===r}))},i.filterOption=function(e,t){return!this.props.filterOption||this.props.filterOption(e,t)},i.formatOptionLabel=function(e,t){if("function"==typeof this.props.formatOptionLabel){var n=this.props.inputValue,r=this.state.selectValue;return this.props.formatOptionLabel(e,{context:t,inputValue:n,selectValue:r})}return this.getOptionLabel(e)},i.formatGroupLabel=function(e){return this.props.formatGroupLabel(e)},i.startListeningComposition=function(){document&&document.addEventListener&&(document.addEventListener("compositionstart",this.onCompositionStart,!1),document.addEventListener("compositionend",this.onCompositionEnd,!1))},i.stopListeningComposition=function(){document&&document.removeEventListener&&(document.removeEventListener("compositionstart",this.onCompositionStart),document.removeEventListener("compositionend",this.onCompositionEnd))},i.startListeningToTouch=function(){document&&document.addEventListener&&(document.addEventListener("touchstart",this.onTouchStart,!1),document.addEventListener("touchmove",this.onTouchMove,!1),document.addEventListener("touchend",this.onTouchEnd,!1))},i.stopListeningToTouch=function(){document&&document.removeEventListener&&(document.removeEventListener("touchstart",this.onTouchStart),document.removeEventListener("touchmove",this.onTouchMove),document.removeEventListener("touchend",this.onTouchEnd))},i.constructAriaLiveMessage=function(){var e=this.state,t=e.ariaLiveContext,n=e.selectValue,r=e.focusedValue,i=e.focusedOption,o=this.props,a=o.options,u=o.menuIsOpen,s=o.inputValue,l=o.screenReaderStatus;return(r?function(e){var t=e.focusedValue,n=e.getOptionLabel,r=e.selectValue;return"value "+n(t)+" focused, "+(r.indexOf(t)+1)+" of "+r.length+"."}({focusedValue:r,getOptionLabel:this.getOptionLabel,selectValue:n}):"")+" "+(i&&u?function(e){var t=e.focusedOption,n=e.getOptionLabel,r=e.options;return"option "+n(t)+" focused"+(t.isDisabled?" disabled":"")+", "+(r.indexOf(t)+1)+" of "+r.length+"."}({focusedOption:i,getOptionLabel:this.getOptionLabel,options:a}):"")+" "+function(e){var t=e.inputValue;return e.screenReaderMessage+(t?" for search term "+t:"")+"."}({inputValue:s,screenReaderMessage:l({count:this.countOptions()})})+" "+t},i.renderInput=function(){var e=this.props,t=e.isDisabled,n=e.isSearchable,r=e.inputId,i=e.inputValue,a=e.tabIndex,u=this.components.Input,s=this.state.inputIsHidden,l=r||this.getElementId("input"),c={"aria-autocomplete":"list","aria-label":this.props["aria-label"],"aria-labelledby":this.props["aria-labelledby"]};if(!n)return o.a.createElement(st,St({id:l,innerRef:this.getInputRef,onBlur:this.onInputBlur,onChange:ee,onFocus:this.onInputFocus,readOnly:!0,disabled:t,tabIndex:a,value:""},c));var f=this.commonProps,p=f.cx,d=f.theme,h=f.selectProps;return o.a.createElement(u,St({autoCapitalize:"none",autoComplete:"off",autoCorrect:"off",cx:p,getStyles:this.getStyles,id:l,innerRef:this.getInputRef,isDisabled:t,isHidden:s,onBlur:this.onInputBlur,onChange:this.handleInputChange,onFocus:this.onInputFocus,selectProps:h,spellCheck:"false",tabIndex:a,theme:d,type:"text",value:i},c))},i.renderPlaceholderOrValue=function(){var e=this,t=this.components,n=t.MultiValue,r=t.MultiValueContainer,i=t.MultiValueLabel,a=t.MultiValueRemove,u=t.SingleValue,s=t.Placeholder,l=this.commonProps,c=this.props,f=c.controlShouldRenderValue,p=c.isDisabled,d=c.isMulti,h=c.inputValue,v=c.placeholder,m=this.state,g=m.selectValue,b=m.focusedValue,y=m.isFocused;if(!this.hasValue()||!f)return h?null:o.a.createElement(s,St({},l,{key:"placeholder",isDisabled:p,isFocused:y}),v);if(d)return g.map((function(t,u){var s=t===b;return o.a.createElement(n,St({},l,{components:{Container:r,Label:i,Remove:a},isFocused:s,isDisabled:p,key:e.getOptionValue(t),index:u,removeProps:{onClick:function(){return e.removeValue(t)},onTouchEnd:function(){return e.removeValue(t)},onMouseDown:function(e){e.preventDefault(),e.stopPropagation()}},data:t}),e.formatOptionLabel(t,"value"))}));if(h)return null;var E=g[0];return o.a.createElement(u,St({},l,{data:E,isDisabled:p}),this.formatOptionLabel(E,"value"))},i.renderClearIndicator=function(){var e=this.components.ClearIndicator,t=this.commonProps,n=this.props,r=n.isDisabled,i=n.isLoading,a=this.state.isFocused;if(!this.isClearable()||!e||r||!this.hasValue()||i)return null;var u={onMouseDown:this.onClearIndicatorMouseDown,onTouchEnd:this.onClearIndicatorTouchEnd,"aria-hidden":"true"};return o.a.createElement(e,St({},t,{innerProps:u,isFocused:a}))},i.renderLoadingIndicator=function(){var e=this.components.LoadingIndicator,t=this.commonProps,n=this.props,r=n.isDisabled,i=n.isLoading,a=this.state.isFocused;if(!e||!i)return null;return o.a.createElement(e,St({},t,{innerProps:{"aria-hidden":"true"},isDisabled:r,isFocused:a}))},i.renderIndicatorSeparator=function(){var e=this.components,t=e.DropdownIndicator,n=e.IndicatorSeparator;if(!t||!n)return null;var r=this.commonProps,i=this.props.isDisabled,a=this.state.isFocused;return o.a.createElement(n,St({},r,{isDisabled:i,isFocused:a}))},i.renderDropdownIndicator=function(){var e=this.components.DropdownIndicator;if(!e)return null;var t=this.commonProps,n=this.props.isDisabled,r=this.state.isFocused,i={onMouseDown:this.onDropdownIndicatorMouseDown,onTouchEnd:this.onDropdownIndicatorTouchEnd,"aria-hidden":"true"};return o.a.createElement(e,St({},t,{innerProps:i,isDisabled:n,isFocused:r}))},i.renderMenu=function(){var e=this,t=this.components,n=t.Group,r=t.GroupHeading,i=t.Menu,a=t.MenuList,u=t.MenuPortal,s=t.LoadingMessage,l=t.NoOptionsMessage,c=t.Option,f=this.commonProps,p=this.state,d=p.focusedOption,h=p.menuOptions,v=this.props,m=v.captureMenuScroll,g=v.inputValue,b=v.isLoading,y=v.loadingMessage,E=v.minMenuHeight,_=v.maxMenuHeight,w=v.menuIsOpen,O=v.menuPlacement,C=v.menuPosition,A=v.menuPortalTarget,x=v.menuShouldBlockScroll,k=v.menuShouldScrollIntoView,S=v.noOptionsMessage,F=v.onMenuScrollToTop,D=v.onMenuScrollToBottom;if(!w)return null;var I,j=function(t){var n=d===t.data;return t.innerRef=n?e.getFocusedOptionRef:void 0,o.a.createElement(c,St({},f,t,{isFocused:n}),e.formatOptionLabel(t.data,"menu"))};if(this.hasOptions())I=h.render.map((function(t){if("group"===t.type){t.type;var i=function(e,t){if(null==e)return{};var n,r,i={},o=Object.keys(e);for(r=0;r=0||(i[n]=e[n]);return i}(t,["type"]),a=t.key+"-heading";return o.a.createElement(n,St({},f,i,{Heading:r,headingProps:{id:a},label:e.formatGroupLabel(t.data)}),t.options.map((function(e){return j(e)})))}if("option"===t.type)return j(t)}));else if(b){var N=y({inputValue:g});if(null===N)return null;I=o.a.createElement(s,f,N)}else{var M=S({inputValue:g});if(null===M)return null;I=o.a.createElement(l,f,M)}var L={minMenuHeight:E,maxMenuHeight:_,menuPlacement:O,menuPosition:C,menuShouldScrollIntoView:k},P=o.a.createElement(ve,St({},f,L),(function(t){var n=t.ref,r=t.placerProps,u=r.placement,s=r.maxHeight;return o.a.createElement(i,St({},f,L,{innerRef:n,innerProps:{onMouseDown:e.onMenuMouseDown,onMouseMove:e.onMenuMouseMove},isLoading:b,placement:u}),o.a.createElement(wt,{isEnabled:m,onTopArrive:F,onBottomArrive:D},o.a.createElement(Et,{isEnabled:x},o.a.createElement(a,St({},f,{innerRef:e.getMenuListRef,isLoading:b,maxHeight:s}),I))))}));return A||"fixed"===C?o.a.createElement(u,St({},f,{appendTo:A,controlElement:this.controlRef,menuPlacement:O,menuPosition:C}),P):P},i.renderFormField=function(){var e=this,t=this.props,n=t.delimiter,r=t.isDisabled,i=t.isMulti,a=t.name,u=this.state.selectValue;if(a&&!r){if(i){if(n){var s=u.map((function(t){return e.getOptionValue(t)})).join(n);return o.a.createElement("input",{name:a,type:"hidden",value:s})}var l=u.length>0?u.map((function(t,n){return o.a.createElement("input",{key:"i-"+n,name:a,type:"hidden",value:e.getOptionValue(t)})})):o.a.createElement("input",{name:a,type:"hidden"});return o.a.createElement("div",null,l)}var c=u[0]?this.getOptionValue(u[0]):"";return o.a.createElement("input",{name:a,type:"hidden",value:c})}},i.renderLiveRegion=function(){return this.state.isFocused?o.a.createElement(at,{"aria-live":"polite"},o.a.createElement("p",{id:"aria-selection-event"},"\xa0",this.state.ariaLiveSelection),o.a.createElement("p",{id:"aria-context"},"\xa0",this.constructAriaLiveMessage())):null},i.render=function(){var e=this.components,t=e.Control,n=e.IndicatorsContainer,r=e.SelectContainer,i=e.ValueContainer,a=this.props,u=a.className,s=a.id,l=a.isDisabled,c=a.menuIsOpen,f=this.state.isFocused,p=this.commonProps=this.getCommonProps();return o.a.createElement(r,St({},p,{className:u,innerProps:{id:s,onKeyDown:this.onKeyDown},isDisabled:l,isFocused:f}),this.renderLiveRegion(),o.a.createElement(t,St({},p,{innerRef:this.getControlRef,innerProps:{onMouseDown:this.onControlMouseDown,onTouchEnd:this.onControlTouchEnd},isDisabled:l,isFocused:f,menuIsOpen:c}),o.a.createElement(i,St({},p,{isDisabled:l}),this.renderPlaceholderOrValue(),this.renderInput()),o.a.createElement(n,St({},p,{isDisabled:l}),this.renderClearIndicator(),this.renderLoadingIndicator(),this.renderIndicatorSeparator(),this.renderDropdownIndicator())),this.renderMenu(),this.renderFormField())},r}(i.Component);function Mt(){return(Mt=Object.assign||function(e){for(var t=1;t1?n-1:0),i=1;i=0||(i[n]=e[n]);return i}(t,["defaultInputValue","defaultMenuIsOpen","defaultValue"]));return o.a.createElement(Pt,Mt({},n,{ref:function(t){e.select=t},inputValue:this.getProp("inputValue"),menuIsOpen:this.getProp("menuIsOpen"),onChange:this.onChange,onInputChange:this.onInputChange,onMenuClose:this.onMenuClose,onMenuOpen:this.onMenuOpen,value:this.getProp("value")}))},r}(i.Component),Tt.defaultProps=Lt,Rt),Vt=n(266),zt=n.n(Vt),Ut=n(397),Wt=n.n(Ut),Ht=n(352);var $t=function(){return Object(i.useContext)(Ht.a)},Gt=37,qt=39;function Yt(e){var t=e.block,n=e.centered,r=e.changeSelectedValue,i=e.className,a=e.handleKeydown,u=e.style,s=e.values,l=e.selectedValue,c=e.tabRefs;return o.a.createElement("div",{className:n?"tabs--centered":null},o.a.createElement("ul",{role:"tablist","aria-orientation":"horizontal",className:zt()("tabs",i,{"tabs--block":t}),style:u},s.map((function(e){var t=e.value,n=e.label;return o.a.createElement("li",{role:"tab",tabIndex:"0","aria-selected":l===t,className:zt()("tab-item",{"tab-item--active":l===t}),key:t,ref:function(e){return c.push(e)},onKeyDown:function(e){return a(c,e.target,e)},onFocus:function(){return r(t)},onClick:function(){return r(t)}},n)}))))}function Kt(e){var t=e.placeholder,n=e.selectedValue,r=e.changeSelectedValue,i=e.size,a=e.values,u=a;if(u[0].group){var s=_.groupBy(u,"group");u=Object.keys(s).map((function(e){return{label:e,options:s[e]}}))}return o.a.createElement(Bt,{className:"react-select-container react-select--"+i,classNamePrefix:"react-select",options:u,isClearable:n,placeholder:t,value:a.find((function(e){return e.value==n})),onChange:function(e){return r(e?e.value:null)}})}var Zt=function(e){e.block,e.centered;var t=e.children,n=e.defaultValue,a=e.groupId,u=e.label,s=e.placeholder,l=e.select,c=e.size,f=(e.style,e.values),p=e.urlKey,d=$t(),h=d.tabGroupChoices,v=d.setTabGroupChoices,m=Object(i.useState)(n),g=m[0],b=m[1];if(null!=a){var y=h[a];null!=y&&y!==g&&b(y)}var E=function(e){b(e),null!=a&&v(a,e)},_=[],w=function(e,t,n){switch(n.keyCode){case qt:!function(e,t){var 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-
+
 
 
 
@@ -29,18 +29,18 @@
 
 
 
-
+
 
 
 
 
 

-
gnet Community
Join the gnet community. Connect with other gnet users and help make gnet better.
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@panjf2000
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Meet The Team
Andy Pan is the creator of gnet and the only core contributor at present, hoping more developers will join me in the future.
Andy Pan

+
gnet Community
Join the gnet community. Connect with other gnet users and help make gnet better.
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Code, issues, and pull requests
Meet The Team
Andy Pan is the creator of gnet and the only core contributor at present, hoping more developers will join me in the future.
Andy Pan

 

 
 
 
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Contact
gnet is an open-source software created by Andy Pan. You can contact the author using any of the options below.
i@andypan.me
Send me an email
@panjf2000
Tweet at me
Chat
Join our chat

+
Contact
gnet is an open-source software created by Andy Pan. You can contact the author using any of the options below.
i@andypan.me
Send me an email
@panjf2000
Tweet at me
Chat
Join our chat

 

 
 
 
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预览
gnet 是什么?
gnet 是一个基于事件驱动的高性能和轻量级网络框架。这个框架是基于 epoll 和 kqueue 从零开发的，而且相比 Go net，它能以更低的内存占用实现更高的性能。
gnet 和 net 有着不一样的网络编程模式。因此，用 gnet 开发网络应用和用 net 开发区别很大，而且两者之间不可调和。社区里有其他同类的产品像是 libevent, libuv, netty, twisted, tornado，gnet 的底层工作原理和这些框架非常类似。
gnet 不是为了取代 net 而生的，而是在 Go 生态中为开发者提供一个开发性能敏感的网络服务的替代品。也正因如此，gnet 在功能上的全面性并不如 Go net，它只会提供网络应用所需的最核心的功能和最精简的 APIs，而且 gnet 也并没有打算变成一个无所不包的网络框架，因为我觉得 Go net 在这方面已经做得足够好了。
gnet 的卖点在于它是一个高性能、轻量级、非阻塞的纯 Go 语言实现的传输层（TCP/UDP/Unix Domain Socket）网络框架。开发者可以使用 gnet 来实现自己的应用层网络协议(HTTP、RPC、Redis、WebSocket 等等)，从而构建出自己的应用层网络服务。比如在 gnet 上实现 HTTP 协议就可以创建出一个 HTTP 服务器 或者 Web 开发框架，实现 Redis 协议就可以创建出自己的 Redis 服务器等等。
gnet 衍生自另一个项目：evio，但拥有更丰富的功能特性，且性能远胜之。
功能
  •  基于多线程/协程网络模型的高性能事件驱动循环
  •  内置 goroutine 池，由开源库 ants 提供支持
  •  整个生命周期是无锁的
  •  简单易用的 APIs
  •  高效、可重用而且自动伸缩的内存 buffer：(Elastic-)Ring-Buffer, Linked-List-Buffer and Elastic-Mixed-Buffer
  •  多种网络协议/IPC 机制：TCP、UDP 和 Unix Domain Socket
  •  多种负载均衡算法：Round-Robin(轮询)、Source-Addr-Hash(源地址哈希) 和 Least-Connections(最少连接数)
  •  两种事件驱动机制：Linux 里的 epoll 以及 FreeBSD/DragonFly/Darwin 里的 kqueue
  •  灵活的事件定时器
  •  实现 gnet 客户端
  •  支持 Windows 平台 (仅用于开发环境的兼容性，不要在生产环境中使用)
  •  多网络地址绑定
  •  支持 TLS
  •  支持 io_uring
架构
多线程/Go程网络模型
主从多 Reactors
gnet 重新设计开发了一个新内置的多线程/Go程网络模型：『主从多 Reactors』，这也是 netty 默认的多线程网络模型，下面是这个模型的原理图：
multi_reactor
它的运行流程如下面的时序图：
reactor
主从多 Reactors + 线程/Go程池
你可能会问一个问题：如果我的业务逻辑是阻塞的，那么在 EventHandler.OnTraffic 注册方法里的逻辑也会阻塞，从而导致阻塞 event-loop 线程，这时候怎么办？
正如你所知，基于 gnet 编写你的网络服务器有一条最重要的原则：永远不能让你业务逻辑（一般写在 EventHandler.OnTraffic 里）阻塞 event-loop 线程，这也是 netty 的一条最重要的原则，否则的话将会极大地降低服务器的吞吐量。
我的回答是，基于gnet 的另一种多线程/Go程网络模型：『带线程/Go程池的主从多 Reactors』可以解决阻塞问题，这个新网络模型通过引入一个 worker pool 来解决业务逻辑阻塞的问题：它会在启动的时候初始化一个 worker pool，然后在把 EventHandler.OnTraffic 里面的阻塞代码放到 worker pool 里执行，从而避免阻塞 event-loop 线程。
模型的架构图如下所示：
multi_reactor_thread_pool
它的运行流程如下面的时序图：
multi-reactors
gnet 通过利用 ants goroutine 池（一个基于 Go 开发的高性能的 goroutine 池 ，实现了对大规模 goroutines 的调度管理、goroutines 复用）来实现『主从多 Reactors + 线程/Go程池』网络模型。关于 ants 的全部功能和使用，可以在 ants 文档 里找到。
gnet 内部集成了 ants 以及提供了 pool.goroutine.Default() 方法来初始化一个 ants goroutine 池，然后你可以把 EventHandler.OnTraffic 中阻塞的业务逻辑提交到 goroutine 池里执行，最后在 goroutine 池里的代码调用 gnet.Conn.AsyncWrite([]byte) 方法把处理完阻塞逻辑之后得到的输出数据异步写回客户端，这样就可以避免阻塞 event-loop 线程。
有关在 gnet 里使用 ants goroutine 池的细节可以到这里进一步了解。
关键设计
弹性内存 Buffer
Elastic Ring Buffer
Elastic Ring&Linked-list Buffer
gnet 内置了inbound 和 outbound 两个 buffers，分别用来缓冲输入输出的网络数据以及管理内存，gnet 里面的 inbound 和 outbound buffer 经过设计和调优，达到重用内存以及按需扩缩容的目的。
对于 TCP 协议的流数据，使用 gnet 不需要业务方为了解析应用层协议而自己维护和管理 buffers，gnet 会替业务方完成缓冲和管理网络数据的任务，降低业务代码的复杂性以及降低开发者的心智负担，使得开发者能够专注于业务逻辑而非一些底层实现。
Contents
Resources

+
预览
gnet 是什么?
gnet 是一个基于事件驱动的高性能和轻量级网络框架。这个框架是基于 epoll 和 kqueue 从零开发的，而且相比 Go net，它能以更低的内存占用实现更高的性能。
gnet 和 net 有着不一样的网络编程模式。因此，用 gnet 开发网络应用和用 net 开发区别很大，而且两者之间不可调和。社区里有其他同类的产品像是 libevent, libuv, netty, twisted, tornado，gnet 的底层工作原理和这些框架非常类似。
gnet 不是为了取代 net 而生的，而是在 Go 生态中为开发者提供一个开发性能敏感的网络服务的替代品。也正因如此，gnet 在功能上的全面性并不如 Go net，它只会提供网络应用所需的最核心的功能和最精简的 APIs，而且 gnet 也并没有打算变成一个无所不包的网络框架，因为我觉得 Go net 在这方面已经做得足够好了。
gnet 的卖点在于它是一个高性能、轻量级、非阻塞的纯 Go 语言实现的传输层（TCP/UDP/Unix Domain Socket）网络框架。开发者可以使用 gnet 来实现自己的应用层网络协议(HTTP、RPC、Redis、WebSocket 等等)，从而构建出自己的应用层网络服务。比如在 gnet 上实现 HTTP 协议就可以创建出一个 HTTP 服务器 或者 Web 开发框架，实现 Redis 协议就可以创建出自己的 Redis 服务器等等。
gnet 衍生自另一个项目：evio，但拥有更丰富的功能特性，且性能远胜之。
功能
  •  基于多线程/协程网络模型的高性能事件驱动循环
  •  内置 goroutine 池，由开源库 ants 提供支持
  •  整个生命周期是无锁的
  •  简单易用的 APIs
  •  高效、可重用而且自动伸缩的内存 buffer：(Elastic-)Ring-Buffer, Linked-List-Buffer and Elastic-Mixed-Buffer
  •  多种网络协议/IPC 机制：TCP、UDP 和 Unix Domain Socket
  •  多种负载均衡算法：Round-Robin(轮询)、Source-Addr-Hash(源地址哈希) 和 Least-Connections(最少连接数)
  •  两种事件驱动机制：Linux 里的 epoll 以及 FreeBSD/DragonFly/Darwin 里的 kqueue
  •  灵活的事件定时器
  •  实现 gnet 客户端
  •  支持 Windows 平台 (仅用于开发环境的兼容性，不要在生产环境中使用)
  •  多网络地址绑定
  •  支持 TLS
  •  支持 io_uring
架构
多线程/Go程网络模型
主从多 Reactors
gnet 重新设计开发了一个新内置的多线程/Go程网络模型：『主从多 Reactors』，这也是 netty 默认的多线程网络模型，下面是这个模型的原理图：
multi_reactor
它的运行流程如下面的时序图：
reactor
主从多 Reactors + 线程/Go程池
你可能会问一个问题：如果我的业务逻辑是阻塞的，那么在 EventHandler.OnTraffic 注册方法里的逻辑也会阻塞，从而导致阻塞 event-loop 线程，这时候怎么办？
正如你所知，基于 gnet 编写你的网络服务器有一条最重要的原则：永远不能让你业务逻辑（一般写在 EventHandler.OnTraffic 里）阻塞 event-loop 线程，这也是 netty 的一条最重要的原则，否则的话将会极大地降低服务器的吞吐量。
我的回答是，基于gnet 的另一种多线程/Go程网络模型：『带线程/Go程池的主从多 Reactors』可以解决阻塞问题，这个新网络模型通过引入一个 worker pool 来解决业务逻辑阻塞的问题：它会在启动的时候初始化一个 worker pool，然后在把 EventHandler.OnTraffic 里面的阻塞代码放到 worker pool 里执行，从而避免阻塞 event-loop 线程。
模型的架构图如下所示：
multi_reactor_thread_pool
它的运行流程如下面的时序图：
multi-reactors
gnet 通过利用 ants goroutine 池（一个基于 Go 开发的高性能的 goroutine 池 ，实现了对大规模 goroutines 的调度管理、goroutines 复用）来实现『主从多 Reactors + 线程/Go程池』网络模型。关于 ants 的全部功能和使用，可以在 ants 文档 里找到。
gnet 内部集成了 ants 以及提供了 pool.goroutine.Default() 方法来初始化一个 ants goroutine 池，然后你可以把 EventHandler.OnTraffic 中阻塞的业务逻辑提交到 goroutine 池里执行，最后在 goroutine 池里的代码调用 gnet.Conn.AsyncWrite([]byte) 方法把处理完阻塞逻辑之后得到的输出数据异步写回客户端，这样就可以避免阻塞 event-loop 线程。
有关在 gnet 里使用 ants goroutine 池的细节可以到这里进一步了解。
关键设计
弹性内存 Buffer
Elastic Ring Buffer
Elastic Ring&Linked-list Buffer
gnet 内置了inbound 和 outbound 两个 buffers，分别用来缓冲输入输出的网络数据以及管理内存，gnet 里面的 inbound 和 outbound buffer 经过设计和调优，达到重用内存以及按需扩缩容的目的。
对于 TCP 协议的流数据，使用 gnet 不需要业务方为了解析应用层协议而自己维护和管理 buffers，gnet 会替业务方完成缓冲和管理网络数据的任务，降低业务代码的复杂性以及降低开发者的心智负担，使得开发者能够专注于业务逻辑而非一些底层实现。
Contents
Resources

 

 
 
 
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Overview
What is gnet?
gnet is an event-driven networking framework that is ultra-fast and lightweight. It is built from scratch by exploiting epoll and kqueue and it can achieve much higher performance with lower memory consumption than Go net in many specific scenarios.
gnet and net don't share the same philosophy about network programming. Thus, building network applications with gnet can be significantly different from building them with net, and the philosophies can't be harmonized. There are other similar products written in other programming languages in the community, such as libevent, libuv, netty, twisted, tornado, etc. which work in a similar pattern as gnet under the hood.
gnet is not designed to displace the Go net, but to create an alternative in the Go ecosystem for building performance-sensitive network services. As a result of which, gnet is not as comprehensive as Go net, it provides only the core functionalities (in a concise API set) required by a network application and it is not planned on being a coverall networking framework, as I think net has done a good enough job in that area.
gnet sells itself as a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go which works on the transport layer with TCP/UDP protocols and Unix Domain Socket. It enables developers to implement their own protocols(HTTP, RPC, WebSocket, Redis, etc.) of application layer upon gnet for building diversified network services. For instance, you get an HTTP Server if you implement HTTP protocol upon gnet while you have a Redis Server done with the implementation of Redis protocol upon gnet and so on.
gnet derives from the project: evio while having a much higher performance and more features.
Features
  •  High-performance event-driven looping based on a networking model of multiple threads/goroutines
  •  Built-in goroutine pool powered by the library ants
  •  Lock-free during the entire runtime
  •  Concise and easy-to-use APIs
  •  Efficient, reusable, and elastic memory buffer: (Elastic-)Ring-Buffer, Linked-List-Buffer and Elastic-Mixed-Buffer
  •  Multiple protocols/IPC mechanisms: TCP, UDP, and Unix Domain Socket
  •  Multiple load-balancing algorithms: Round-Robin, Source-Addr-Hash, and Least-Connections
  •  Two event-driven mechanisms: epoll on Linux and kqueue on FreeBSD/DragonFly/Darwin
  •  Flexible ticker event
  •  Implementation of gnet Client
  •  Windows platform support (For compatibility in development only, do not use it in production)
  •  Multiple network addresses binding
  •  TLS support
  •  io_uring support
Architecture
Networking Model of Multiple Threads/Goroutines
Multiple Reactors
gnet redesigns and implements a new built-in networking model of multiple threads/goroutines: 『multiple reactors』 which is also the default networking model of multiple threads in netty, Here's the schematic diagram:
multi_reactor
and it works as the following sequence diagram:
reactor
Multiple Reactors + Goroutine Pool
You may ask me a question: what if my business logic in EventHandler.OnTraffic contains some blocking code which leads to blocking in event-loop of gnet, what is the solution for this kind of situation？
As you know, there is a most important tenet when writing code under gnet: you should never block the event-loop goroutine in the EventHandler.OnTraffic, which is also the most important tenet in netty, otherwise, it will result in a low throughput in your gnet server.
And the solution to that could be found in the subsequent networking model of multiple threads/goroutines in gnet: 『multiple reactors with thread/goroutine pool』which pulls you out from the blocking mire, it will construct a worker-pool with fixed capacity and put those blocking jobs in EventHandler.OnTraffic into the worker-pool to make the event-loop goroutines non-blocking.
The networking model:『multiple reactors with thread/goroutine pool』dissolves the blocking jobs by introducing a goroutine pool, as shown below:
multi_reactor_thread_pool
and it works as the following sequence diagram:
multi-reactors
gnet implements the networking model:『multiple reactors with thread/goroutine pool』by the aid of a high-performance goroutine pool called ants that allows you to manage and recycle a massive number of goroutines in your concurrent programs, the full features and usages in ants are documented here.
gnet integrates ants and provides the pool.goroutine.Default() method that you can call to instantiate a ants pool where you are able to put your blocking code logic and call the function gnet.Conn.AsyncWrite([]byte) to send out data asynchronously after you finish the blocking process and get the output data, which makes the goroutine of event-loop non-blocking.
The details about integrating gnet  with ants are shown here.
Key designs
Elastic Buffer
Elastic Ring Buffer
Elastic Ring & Linked-list Buffer
There are two buffers inside gnet: inbound buffer (elastic-ring-buffer) and outbound buffer (elastic-ring&linked-list-buffer) to buffer and manage inbound/outbound network data, inbound and outbound buffers inside gnet are designed and tuned to reuse memory and be auto-scaling on demand.
The purpose of implementing inbound and outbound buffers in gnet is to transfer the logic of buffering and managing network data based on application protocol upon TCP stream from business server to framework and unify the network data buffer, which minimizes the complexity of business code so that developers are able to concentrate on business logic instead of the underlying implementation.
Contents
Resources

+
Overview
What is gnet?
gnet is an event-driven networking framework that is ultra-fast and lightweight. It is built from scratch by exploiting epoll and kqueue and it can achieve much higher performance with lower memory consumption than Go net in many specific scenarios.
gnet and net don't share the same philosophy about network programming. Thus, building network applications with gnet can be significantly different from building them with net, and the philosophies can't be harmonized. There are other similar products written in other programming languages in the community, such as libevent, libuv, netty, twisted, tornado, etc. which work in a similar pattern as gnet under the hood.
gnet is not designed to displace the Go net, but to create an alternative in the Go ecosystem for building performance-sensitive network services. As a result of which, gnet is not as comprehensive as Go net, it provides only the core functionalities (in a concise API set) required by a network application and it is not planned on being a coverall networking framework, as I think net has done a good enough job in that area.
gnet sells itself as a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go which works on the transport layer with TCP/UDP protocols and Unix Domain Socket. It enables developers to implement their own protocols(HTTP, RPC, WebSocket, Redis, etc.) of application layer upon gnet for building diversified network services. For instance, you get an HTTP Server if you implement HTTP protocol upon gnet while you have a Redis Server done with the implementation of Redis protocol upon gnet and so on.
gnet derives from the project: evio while having a much higher performance and more features.
Features
  •  High-performance event-driven looping based on a networking model of multiple threads/goroutines
  •  Built-in goroutine pool powered by the library ants
  •  Lock-free during the entire runtime
  •  Concise and easy-to-use APIs
  •  Efficient, reusable, and elastic memory buffer: (Elastic-)Ring-Buffer, Linked-List-Buffer and Elastic-Mixed-Buffer
  •  Multiple protocols/IPC mechanisms: TCP, UDP, and Unix Domain Socket
  •  Multiple load-balancing algorithms: Round-Robin, Source-Addr-Hash, and Least-Connections
  •  Two event-driven mechanisms: epoll on Linux and kqueue on FreeBSD/DragonFly/Darwin
  •  Flexible ticker event
  •  Implementation of gnet Client
  •  Windows platform support (For compatibility in development only, do not use it in production)
  •  Multiple network addresses binding
  •  TLS support
  •  io_uring support
Architecture
Networking Model of Multiple Threads/Goroutines
Multiple Reactors
gnet redesigns and implements a new built-in networking model of multiple threads/goroutines: 『multiple reactors』 which is also the default networking model of multiple threads in netty, Here's the schematic diagram:
multi_reactor
and it works as the following sequence diagram:
reactor
Multiple Reactors + Goroutine Pool
You may ask me a question: what if my business logic in EventHandler.OnTraffic contains some blocking code which leads to blocking in event-loop of gnet, what is the solution for this kind of situation？
As you know, there is a most important tenet when writing code under gnet: you should never block the event-loop goroutine in the EventHandler.OnTraffic, which is also the most important tenet in netty, otherwise, it will result in a low throughput in your gnet server.
And the solution to that could be found in the subsequent networking model of multiple threads/goroutines in gnet: 『multiple reactors with thread/goroutine pool』which pulls you out from the blocking mire, it will construct a worker-pool with fixed capacity and put those blocking jobs in EventHandler.OnTraffic into the worker-pool to make the event-loop goroutines non-blocking.
The networking model:『multiple reactors with thread/goroutine pool』dissolves the blocking jobs by introducing a goroutine pool, as shown below:
multi_reactor_thread_pool
and it works as the following sequence diagram:
multi-reactors
gnet implements the networking model:『multiple reactors with thread/goroutine pool』by the aid of a high-performance goroutine pool called ants that allows you to manage and recycle a massive number of goroutines in your concurrent programs, the full features and usages in ants are documented here.
gnet integrates ants and provides the pool.goroutine.Default() method that you can call to instantiate a ants pool where you are able to put your blocking code logic and call the function gnet.Conn.AsyncWrite([]byte) to send out data asynchronously after you finish the blocking process and get the output data, which makes the goroutine of event-loop non-blocking.
The details about integrating gnet  with ants are shown here.
Key designs
Elastic Buffer
Elastic Ring Buffer
Elastic Ring & Linked-list Buffer
There are two buffers inside gnet: inbound buffer (elastic-ring-buffer) and outbound buffer (elastic-ring&linked-list-buffer) to buffer and manage inbound/outbound network data, inbound and outbound buffers inside gnet are designed and tuned to reuse memory and be auto-scaling on demand.
The purpose of implementing inbound and outbound buffers in gnet is to transfer the logic of buffering and managing network data based on application protocol upon TCP stream from business server to framework and unify the network data buffer, which minimizes the complexity of business code so that developers are able to concentrate on business logic instead of the underlying implementation.
Contents
Resources

 

 
 
 
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Benchmark
Benchmarks on TechEmpower
# Hardware Environment
* 28 HT Cores Intel(R) Xeon(R) Gold 5120 CPU @ 3.20GHz
* 32GB RAM
* Dedicated Cisco 10-gigabit Ethernet switch
* Debian 12 "bookworm"
* Go1.19.x linux/amd64
This is a leaderboard of the top 50 out of 486 frameworks that encompass various programming languages worldwide, in which gnet is ranked first.
This is the full framework ranking of Go and gnet tops all the other frameworks, which makes gnet the fastest networking framework in Go.
To see the full ranking list, visit TechEmpower Benchmark Round 22.
Contrasts to the similar networking libraries
On Linux (epoll)
Test Environment
# Machine information
        OS : Ubuntu 20.04/x86_64
       CPU : 8 CPU cores, AMD EPYC 7K62 48-Core Processor
    Memory : 16.0 GiB

+
Benchmark
Benchmarks on TechEmpower
# Hardware Environment
* 28 HT Cores Intel(R) Xeon(R) Gold 5120 CPU @ 3.20GHz
* 32GB RAM
* Dedicated Cisco 10-gigabit Ethernet switch
* Debian 12 "bookworm"
* Go1.19.x linux/amd64
This is a leaderboard of the top 50 out of 486 frameworks that encompass various programming languages worldwide, in which gnet is ranked first.
This is the full framework ranking of Go and gnet tops all the other frameworks, which makes gnet the fastest networking framework in Go.
To see the full ranking list, visit TechEmpower Benchmark Round 22.
Contrasts to the similar networking libraries
On Linux (epoll)
Test Environment
# Machine information
        OS : Ubuntu 20.04/x86_64
       CPU : 8 CPU cores, AMD EPYC 7K62 48-Core Processor
    Memory : 16.0 GiB

 
# Go version and settings
Go Version : go1.17.2 linux/amd64
GOMAXPROCS : 8

 
# Benchmark parameters
TCP connections : 1000/2000/5000/10000
Packet size     : 512/1024/2048/4096/8192/16384/32768/65536 bytes
Test duration   : 15s
Echo benchmark
On MacOS (kqueue)
Test Environment
# Machine information
        OS : MacOS Big Sur/x86_64
       CPU : 6 CPU cores, Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz
    Memory : 16.0 GiB

 
# Go version and settings
Go Version : go1.16.5 darwin/amd64
GOMAXPROCS : 12

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diff --git a/docs/faq/index.html b/docs/faq/index.html
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FAQ
Architecture & Code & Principles
Why is gnet so fast?
gnet's networking model is a Reactor networking model with a event-driven mechanism that is designed and tuned to manage millions of network connections and handle a zillion requests, which backs gnet up to be the fastest networking framework in Go, and all it takes is a few goroutines.
In addition to the first-class networking model, the implementation of auto-scaling and reusable elastic buffers in gnet is also one of the critical essentials for its high performance.
..., etc.
Stability
Is gnet production-ready?
Sure it is!
Actually, there are already many companies/organizations using gnet as the underlying network service in production and they have been worked well for a long time.
Here is a partial list of gnet use cases: https://gnet.host/#usecases.
..., etc.
Scope of application & usage
When should I use gnet instead of the standard net in Go?
gnet sells itself as a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go which works on transport layer with TCP/UDP protocols and Unix Domain Socket , so it allows developers to implement their own protocols(HTTP, RPC, WebSocket, Redis, etc.) of application layer upon gnet for building  diversified network applications, for instance, you get an HTTP Server or Web Framework if you implement HTTP protocol upon gnet while you have a Redis Server done with the implementation of Redis protocol upon gnet and so on.
gnet is not designed to displace the standard Go net package, but to create a networking client/server framework for Go that performs on par with Redis and Haproxy for networking packets handling (although it does not limit itself to these areas), therefore, gnet is not as comprehensive as Go net, it only provides the core functionalities (by a concise API set) of a networking application and it is not planned on being a full-featured networking framework, as I think net has done a good enough job in this area.
In a word, if performance is not your top priority and you intend to take care of all corners during the networking development, then you should go with net, but if you are trying to build a insanely fast networking application with a very low resource footprint and looking for a solution, I believe gnet is the right choice for you.
How can I build networking applications of diverse protocols on top of gnet?
There are some examples powered by gnet framework, go check out those source code and get an initial perception about developing networking applications based on gnet, after that, you might want to read the documentations of gnet to learn all its APIs and try to write a demo application.
..., etc.
Contributing
How do I contribute to gnet?
gnet is open-source and welcomes contributions. A few guidelines to help you get started:
  1. Read our contribution guide.
  2. Start with good first issues.
  3. Join our chat if you have any questions. We are happy to help!
Contents
Resources

+
FAQ
Architecture & Code & Principles
Why is gnet so fast?
gnet's networking model is a Reactor networking model with a event-driven mechanism that is designed and tuned to manage millions of network connections and handle a zillion requests, which backs gnet up to be the fastest networking framework in Go, and all it takes is a few goroutines.
In addition to the first-class networking model, the implementation of auto-scaling and reusable elastic buffers in gnet is also one of the critical essentials for its high performance.
..., etc.
Stability
Is gnet production-ready?
Sure it is!
Actually, there are already many companies/organizations using gnet as the underlying network service in production and they have been worked well for a long time.
Here is a partial list of gnet use cases: https://gnet.host/#usecases.
..., etc.
Scope of application & usage
When should I use gnet instead of the standard net in Go?
gnet sells itself as a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go which works on transport layer with TCP/UDP protocols and Unix Domain Socket , so it allows developers to implement their own protocols(HTTP, RPC, WebSocket, Redis, etc.) of application layer upon gnet for building  diversified network applications, for instance, you get an HTTP Server or Web Framework if you implement HTTP protocol upon gnet while you have a Redis Server done with the implementation of Redis protocol upon gnet and so on.
gnet is not designed to displace the standard Go net package, but to create a networking client/server framework for Go that performs on par with Redis and Haproxy for networking packets handling (although it does not limit itself to these areas), therefore, gnet is not as comprehensive as Go net, it only provides the core functionalities (by a concise API set) of a networking application and it is not planned on being a full-featured networking framework, as I think net has done a good enough job in this area.
In a word, if performance is not your top priority and you intend to take care of all corners during the networking development, then you should go with net, but if you are trying to build a insanely fast networking application with a very low resource footprint and looking for a solution, I believe gnet is the right choice for you.
How can I build networking applications of diverse protocols on top of gnet?
There are some examples powered by gnet framework, go check out those source code and get an initial perception about developing networking applications based on gnet, after that, you might want to read the documentations of gnet to learn all its APIs and try to write a demo application.
..., etc.
Contributing
How do I contribute to gnet?
gnet is open-source and welcomes contributions. A few guidelines to help you get started:
  1. Read our contribution guide.
  2. Start with good first issues.
  3. Join our chat if you have any questions. We are happy to help!
Contents
Resources

 

 
 
 
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Quickstart
Installation
gnet is available as a Go module, with Go 1.11 Modules support (Go 1.11+), just simply import "github.com/panjf2000/gnet" in your source code and go [build|run|test] will download the necessary dependencies automatically.
V1
go get -u github.com/panjf2000/gnet
V2
go get -u github.com/panjf2000/gnet/v2
Example
package main

+
Quickstart
Installation
gnet is available as a Go module, with Go 1.11 Modules support (Go 1.11+), just simply import "github.com/panjf2000/gnet" in your source code and go [build|run|test] will download the necessary dependencies automatically.
V1
go get -u github.com/panjf2000/gnet
V2
go get -u github.com/panjf2000/gnet/v2
Example
package main

 
import (
    "flag"
    "fmt"
    "log"

 
    "github.com/panjf2000/gnet/v2"
)

 
type echoServer struct {
    gnet.BuiltinEventEngine

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Best practices
Never run blocking code in OnTraffic(), OnOpen() and OnClose()
The above three event handlers (callbacks) are executed in event-loops, therefore, running blocking code in them blocks event-loops, which means that the subsequent tasks will have to wait for the preceding blocking event handlers to complete before they get executed.
To avoid blocking event-loops, asynchronize your blocking code, for example by starting a goroutine with your blocking code and invoking Conn.AsyncWrite() or Conn.AsyncWritev() to send response data to the peer endpoint.
If you're not familiar with how gnet works, go back and read this.
Leverage Conn.Context() to monopolize data instead of sharing it across connections
It's recommended to use Conn.Context() to store necessary resource for each connection, so that each connection can take advantage of its exclusive resource, avoiding the contention of single resource across connections.
Either loop read data in OnTraffic() or invoke c.Wake() regularly
gnet leverages epoll/kqueue with level-triggered mode by default under the hood, you're able to switch to edge-triggered mode since v2.5.0. In LT mode, OnTraffic() might not be invoked constantly given there is data left in the inbound buffer of a gnet.Conn, OnTraffic() will be invoked only when there is data left in the socket recv buffer of the kernel. By contrast, in ET mode, OnTraffic() will be invoked only when new data arrives at the socket recv buffer of the kernel.
Thus, you should loop call c.Read()/c.Peek()/c.Next() on a connection in OnTraffic() to drain the inbound buffer for reading and decoding packets until you reach an incomplete packet, but if you don't, then make sure you call c.Wake() periodically, otherwise you may never get a chance to read the leftover data until the remote sends new data over and there are new arrivals of data on the socket recv buffer.
Enable poll_opt mode to boost performance
By default, gnet utilizes the standard package golang.org/x/sys/unix to implement pollers with epoll or kqueue, where a HASH map of fd->conn is introduced to help retrieve connections by file descriptors returned from pollers, but now you can run go build with build tags poll_opt, like this: go build -tags=poll_opt, and gnet will switch to the optimized implementations of pollers that invoke the system calls of epoll or kqueue directly and add file descriptors to the interest list along with storing the corresponding connection pointers into epoll_data or kevent, in which case gnet can get rid of the HASH MAP of fd->conn and regain each connection pointer by the conversion of void* pointer in the I/O event-looping. In theory, it ought to achieve a higher performance with this optimization.
Visit #230 for code details.
Enable gc_opt mode to reduce GC latency
By default, gnet uses map as the internal storage of connections, but now you can run go build with build tags gc_opt, like this: go build -tags=gc_opt, and gnet will switch to the optimized implementation of connections storage that uses a new data structure matrix for managing connections, in which case gnet eliminates the pointers in map to reduce the GC latency significantly.
Visit Announcing gnet v2.3.0 for more details.
To be continued
Contents
Resources

+
Best practices
Never run blocking code in OnTraffic(), OnOpen() and OnClose()
The above three event handlers (callbacks) are executed in event-loops, therefore, running blocking code in them blocks event-loops, which means that the subsequent tasks will have to wait for the preceding blocking event handlers to complete before they get executed.
To avoid blocking event-loops, asynchronize your blocking code, for example by starting a goroutine with your blocking code and invoking Conn.AsyncWrite() or Conn.AsyncWritev() to send response data to the peer endpoint.
If you're not familiar with how gnet works, go back and read this.
Leverage Conn.Context() to monopolize data instead of sharing it across connections
It's recommended to use Conn.Context() to store necessary resource for each connection, so that each connection can take advantage of its exclusive resource, avoiding the contention of single resource across connections.
Either loop read data in OnTraffic() or invoke c.Wake() regularly
gnet leverages epoll/kqueue with level-triggered mode by default under the hood, you're able to switch to edge-triggered mode since v2.5.0. In LT mode, OnTraffic() might not be invoked constantly given there is data left in the inbound buffer of a gnet.Conn, OnTraffic() will be invoked only when there is data left in the socket recv buffer of the kernel. By contrast, in ET mode, OnTraffic() will be invoked only when new data arrives at the socket recv buffer of the kernel.
Thus, you should loop call c.Read()/c.Peek()/c.Next() on a connection in OnTraffic() to drain the inbound buffer for reading and decoding packets until you reach an incomplete packet, but if you don't, then make sure you call c.Wake() periodically, otherwise you may never get a chance to read the leftover data until the remote sends new data over and there are new arrivals of data on the socket recv buffer.
Enable poll_opt mode to boost performance
By default, gnet utilizes the standard package golang.org/x/sys/unix to implement pollers with epoll or kqueue, where a HASH map of fd->conn is introduced to help retrieve connections by file descriptors returned from pollers, but now you can run go build with build tags poll_opt, like this: go build -tags=poll_opt, and gnet will switch to the optimized implementations of pollers that invoke the system calls of epoll or kqueue directly and add file descriptors to the interest list along with storing the corresponding connection pointers into epoll_data or kevent, in which case gnet can get rid of the HASH MAP of fd->conn and regain each connection pointer by the conversion of void* pointer in the I/O event-looping. In theory, it ought to achieve a higher performance with this optimization.
Visit #230 for code details.
Enable gc_opt mode to reduce GC latency
By default, gnet uses map as the internal storage of connections, but now you can run go build with build tags gc_opt, like this: go build -tags=gc_opt, and gnet will switch to the optimized implementation of connections storage that uses a new data structure matrix for managing connections, in which case gnet eliminates the pointers in map to reduce the GC latency significantly.
Visit Announcing gnet v2.3.0 for more details.
To be continued
Contents
Resources

 

 
 
 
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gnet v1 文档
🎉 开始使用
前提
gnet 需要 Go 版本 >= 1.9。
安装
go get -u github.com/panjf2000/gnet
gnet 支持作为一个 Go module 被导入，基于 Go 1.11 Modules (Go 1.11+)，只需要在你的项目里直接 import "github.com/panjf2000/gnet"，然后运行 go [build|run|test] 自动下载和构建需要的依赖包。
使用示例
详细的文档在这里: gnet 接口文档，不过下面我们先来了解下使用 gnet 的简略方法。
用 gnet 来构建网络服务器是非常简单的，只需要实现 gnet.EventHandler接口然后把你关心的事件函数注册到里面，最后把它连同监听地址一起传递给 gnet.Serve 函数就完成了。在服务器开始工作之后，每一条到来的网络连接会在各个事件之间传递，如果你想在某个事件中关闭某条连接或者关掉整个服务器的话，直接在事件函数里把 gnet.Action 设置成 Close 或者 Shutdown 就行了。
Echo 服务器是一种最简单网络服务器，把它作为 gnet 的入门例子在再合适不过了，下面是一个最简单的 echo server，它监听了 9000 端口：
不带阻塞逻辑的 echo 服务器
 Old version(<=v1.0.0-rc.4)  
package main

+
gnet v1 文档
🎉 开始使用
前提
gnet 需要 Go 版本 >= 1.9。
安装
go get -u github.com/panjf2000/gnet
gnet 支持作为一个 Go module 被导入，基于 Go 1.11 Modules (Go 1.11+)，只需要在你的项目里直接 import "github.com/panjf2000/gnet"，然后运行 go [build|run|test] 自动下载和构建需要的依赖包。
使用示例
详细的文档在这里: gnet 接口文档，不过下面我们先来了解下使用 gnet 的简略方法。
用 gnet 来构建网络服务器是非常简单的，只需要实现 gnet.EventHandler接口然后把你关心的事件函数注册到里面，最后把它连同监听地址一起传递给 gnet.Serve 函数就完成了。在服务器开始工作之后，每一条到来的网络连接会在各个事件之间传递，如果你想在某个事件中关闭某条连接或者关掉整个服务器的话，直接在事件函数里把 gnet.Action 设置成 Close 或者 Shutdown 就行了。
Echo 服务器是一种最简单网络服务器，把它作为 gnet 的入门例子在再合适不过了，下面是一个最简单的 echo server，它监听了 9000 端口：
不带阻塞逻辑的 echo 服务器
 Old version(<=v1.0.0-rc.4)  
package main

 
import (
    "log"

 
    "github.com/panjf2000/gnet"
)

 
type echoServer struct {
    gnet.EventServer
}

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Doc for gnet v1
🎉 Getting Started
Prerequisites
gnet requires Go 1.9 or later.
Installation
go get -u github.com/panjf2000/gnet
gnet is available as a Go module, with Go 1.11 Modules support (Go 1.11+), just simply import "github.com/panjf2000/gnet" in your source code and go [build|run|test] will download the necessary dependencies automatically.
Usage Examples
The detailed documentation is located here: docs of gnet, but let's pass through the brief instructions first.
It is easy to create a network server with gnet. All you have to do is just to make your implementation of gnet.EventHandler interface and register your event-handler functions to it, then pass it to the gnet.Serve function along with the binding address(es). Each connection is represented as a gnet.Conn interface that is passed to various events to differentiate the clients. At any point you can close a connection or shutdown the server by return a Close or Shutdown action from an event function.
The simplest example to get you started playing with gnet would be the echo server. So here you are, a simplest echo server upon gnet that is listening on port 9000:
Echo server without blocking logic
 Old version(<=v1.0.0-rc.4)  
package main

+
Doc for gnet v1
🎉 Getting Started
Prerequisites
gnet requires Go 1.9 or later.
Installation
go get -u github.com/panjf2000/gnet
gnet is available as a Go module, with Go 1.11 Modules support (Go 1.11+), just simply import "github.com/panjf2000/gnet" in your source code and go [build|run|test] will download the necessary dependencies automatically.
Usage Examples
The detailed documentation is located here: docs of gnet, but let's pass through the brief instructions first.
It is easy to create a network server with gnet. All you have to do is just to make your implementation of gnet.EventHandler interface and register your event-handler functions to it, then pass it to the gnet.Serve function along with the binding address(es). Each connection is represented as a gnet.Conn interface that is passed to various events to differentiate the clients. At any point you can close a connection or shutdown the server by return a Close or Shutdown action from an event function.
The simplest example to get you started playing with gnet would be the echo server. So here you are, a simplest echo server upon gnet that is listening on port 9000:
Echo server without blocking logic
 Old version(<=v1.0.0-rc.4)  
package main

 
import (
    "log"

 
    "github.com/panjf2000/gnet"
)

 
type echoServer struct {
    gnet.EventServer
}

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 / Nov 7th, 2019 / 
Support multiple codecs
Support multiple codecs to encode/decode TCP stream
type: new featuredomain: load-balancing 2369df7
About this change
In this change, gnet integrates multiple codecs to encode/decode network frames into/from TCP stream: LineBasedFrameCodec, DelimiterBasedFrameCodec, FixedLengthFrameCodec and LengthFieldBasedFrameCodec, referencing netty codec,
+
 / Nov 7th, 2019 / 
Support multiple codecs
Support multiple codecs to encode/decode TCP stream
type: new featuredomain: load-balancing 2369df7
About this change
In this change, gnet integrates multiple codecs to encode/decode network frames into/from TCP stream: LineBasedFrameCodec, DelimiterBasedFrameCodec, FixedLengthFrameCodec and LengthFieldBasedFrameCodec, referencing netty codec,
 in addition to these built-in codecs, gnet also supports customized codecs by functional option Codec.
Get This Change
This kind of change with the `new feature` tag brings new features to gnet. Feel free to have a galance through all those commits of new features if you are interested.
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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 / Nov 12th, 2019 / 
Supports Windows platform
Support Windows platform by Go standard net package
type: new featuredomain: OSplatform: windows 9be6b06
About this change
Before this change, gnet can only works on Linux and BSD-like platforms, now it also supports Windows platform,
+
 / Nov 12th, 2019 / 
Supports Windows platform
Support Windows platform by Go standard net package
type: new featuredomain: OSplatform: windows 9be6b06
About this change
Before this change, gnet can only works on Linux and BSD-like platforms, now it also supports Windows platform,
 which makes gnet a real cross-platform networking framework.
Get This Change
This kind of change with the `new feature` tag brings new features to gnet. Feel free to have a galance through all those commits of new features if you are interested.
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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index 8931e3190..9ee8e21a2 100644
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 / Mar 13th, 2020 / 
Released gnet v1.0.0
Released the official stable version of v1.0.0
type: releasedomain: v1.0.0 7155bed
Features
  •  High-performance event-loop under networking model of multiple threads/goroutines
  •  Built-in load balancing algorithm: Round-Robin
  •  Built-in goroutine pool powered by the library ants
  •  Built-in memory pool with bytes powered by the library bytebufferpool
  •  Concise APIs
  •  Efficient memory usage: Ring-Buffer
  •  Supporting multiple protocols/IPC mechanism: TCP, UDP and Unix Domain Socket
  •  Supporting two event-driven mechanisms: epoll on Linux and kqueue on FreeBSD
  •  Supporting asynchronous write operation
  •  Flexible ticker event
  •  SO_REUSEPORT socket option
  •  Built-in multiple codecs to encode/decode network frames into/from TCP stream: LineBasedFrameCodec, DelimiterBasedFrameCodec, FixedLengthFrameCodec and LengthFieldBasedFrameCodec, referencing netty codec, also supporting customized codecs
  •  Supporting Windows platform with event-driven mechanism of IOCP Go stdlib: net
  •  Additional load-balancing algorithms: Random, Least-Connections, Consistent-hashing and so on
  •  TLS support
  •  Implementation of gnet Client
Get This Change
This change was made available in 1.0.0.
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

+
 / Mar 13th, 2020 / 
Released gnet v1.0.0
Released the official stable version of v1.0.0
type: releasedomain: v1.0.0 7155bed
Features
  •  High-performance event-loop under networking model of multiple threads/goroutines
  •  Built-in load balancing algorithm: Round-Robin
  •  Built-in goroutine pool powered by the library ants
  •  Built-in memory pool with bytes powered by the library bytebufferpool
  •  Concise APIs
  •  Efficient memory usage: Ring-Buffer
  •  Supporting multiple protocols/IPC mechanism: TCP, UDP and Unix Domain Socket
  •  Supporting two event-driven mechanisms: epoll on Linux and kqueue on FreeBSD
  •  Supporting asynchronous write operation
  •  Flexible ticker event
  •  SO_REUSEPORT socket option
  •  Built-in multiple codecs to encode/decode network frames into/from TCP stream: LineBasedFrameCodec, DelimiterBasedFrameCodec, FixedLengthFrameCodec and LengthFieldBasedFrameCodec, referencing netty codec, also supporting customized codecs
  •  Supporting Windows platform with event-driven mechanism of IOCP Go stdlib: net
  •  Additional load-balancing algorithms: Random, Least-Connections, Consistent-hashing and so on
  •  TLS support
  •  Implementation of gnet Client
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diff --git a/highlights/2020-03-31-supported-least-connections-load-balancing-algorithm/index.html b/highlights/2020-03-31-supported-least-connections-load-balancing-algorithm/index.html
index 69ec9d7de..6ad89ea11 100644
--- a/highlights/2020-03-31-supported-least-connections-load-balancing-algorithm/index.html
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 / Mar 31st, 2020 / 
Support new load-balancing algorithm
Support new load-balancing algorithm of least-connections
type: new featuredomain: load-balancing fc73013
About this change
In the past, gnet has only one load-balancing algorithm: Round-Robin, now it supports a new one: Least-Connections
+
 / Mar 31st, 2020 / 
Support new load-balancing algorithm
Support new load-balancing algorithm of least-connections
type: new featuredomain: load-balancing fc73013
About this change
In the past, gnet has only one load-balancing algorithm: Round-Robin, now it supports a new one: Least-Connections
 and provide the new functional option LB, enabling users to switch load-balancing algorithm at their own sweet will.
Get This Change
This kind of change with the `new feature` tag brings new features to gnet. Feel free to have a galance through all those commits of new features if you are interested.
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diff --git a/highlights/2020-04-03-released-1-1-0/index.html b/highlights/2020-04-03-released-1-1-0/index.html
index 32050eace..c6059eb15 100644
--- a/highlights/2020-04-03-released-1-1-0/index.html
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 / Apr 3rd, 2020 / 
Released gnet v1.1.0
Released the official stable version of v1.1.0
type: releasedomain: v1.1.0 095ef52
Features
  • Support new load-balancing algorithm of least-connections #63
  • Support new load-balancing algorithm of source-addr-hash #64
  • Add a new API to get the number of currently active connections 5ae4849
Bugfixes
  • Fix an issue of not recycling byte-buffers 3b6edfd
  • Fix a bug of reading data from the full ring-buffer a9caa26
Enhancements
  • Improve several methods of ring-buffer 828e845
  • Refine the range indexes when re-slicing 008c0c9
  • Lazily allocate memory for ring-buffers 095ef52
Docs
Misc
  • Rename the eventloop_group.go to load_balancing.go 24203f4
  • Add unit test for ring-buffer ecf3473072d1c02ca69b469d24c5581eae041d2f 94246dc
Get This Change
This change was made available in 1.1.0.
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+
 / Apr 3rd, 2020 / 
Released gnet v1.1.0
Released the official stable version of v1.1.0
type: releasedomain: v1.1.0 095ef52
Features
  • Support new load-balancing algorithm of least-connections #63
  • Support new load-balancing algorithm of source-addr-hash #64
  • Add a new API to get the number of currently active connections 5ae4849
Bugfixes
  • Fix an issue of not recycling byte-buffers 3b6edfd
  • Fix a bug of reading data from the full ring-buffer a9caa26
Enhancements
  • Improve several methods of ring-buffer 828e845
  • Refine the range indexes when re-slicing 008c0c9
  • Lazily allocate memory for ring-buffers 095ef52
Docs
Misc
  • Rename the eventloop_group.go to load_balancing.go 24203f4
  • Add unit test for ring-buffer ecf3473072d1c02ca69b469d24c5581eae041d2f 94246dc
Get This Change
This change was made available in 1.1.0.
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diff --git a/highlights/2020-05-11-released-1-2-0/index.html b/highlights/2020-05-11-released-1-2-0/index.html
index 98ffa1698..805daf90b 100644
--- a/highlights/2020-05-11-released-1-2-0/index.html
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 / May 11th, 2020 / 
Released gnet v1.2.0
Released the official stable version of v1.2.0
type: releasedomain: v1.2.0 84fb001
Features
  • Support graceful shutdown with OS signals (Fixes #82)
Enhancements
  • Improve the creation processes of netpoller (Fixes #72) ccc6c25
  • Reuse slice struct when resetting buffer 916c255
  • Make a big allocation on ring-buffer at the first time 61963bd
Docs
  • Update Features section in READMEs a0d53f5
  • Add a new article about gnet d500bf4
  • Supplement the missing acknowledgment item b031357
Misc
  • Enable ReadN(int) to handle corner cases 2e89e25
  • Leverage reviewdog as automated code review tool 5db42f9
  • Use customized logger to log errors instead of std log package 3a69701
  • Remove useless field of server 47817a0
  • Unexport some errors 5287bd8
Get This Change
This change was made available in 1.2.0.
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+
 / May 11th, 2020 / 
Released gnet v1.2.0
Released the official stable version of v1.2.0
type: releasedomain: v1.2.0 84fb001
Features
  • Support graceful shutdown with OS signals (Fixes #82)
Enhancements
  • Improve the creation processes of netpoller (Fixes #72) ccc6c25
  • Reuse slice struct when resetting buffer 916c255
  • Make a big allocation on ring-buffer at the first time 61963bd
Docs
  • Update Features section in READMEs a0d53f5
  • Add a new article about gnet d500bf4
  • Supplement the missing acknowledgment item b031357
Misc
  • Enable ReadN(int) to handle corner cases 2e89e25
  • Leverage reviewdog as automated code review tool 5db42f9
  • Use customized logger to log errors instead of std log package 3a69701
  • Remove useless field of server 47817a0
  • Unexport some errors 5287bd8
Get This Change
This change was made available in 1.2.0.
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diff --git a/highlights/2020-07-02-raw-syscalls-sockets/index.html b/highlights/2020-07-02-raw-syscalls-sockets/index.html
index 829b1d1d1..12a9a5187 100644
--- a/highlights/2020-07-02-raw-syscalls-sockets/index.html
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 / Jul 2nd, 2020 / 
New approach to create server sockets
Leverage system calls instead of `net` package to create sockets
type: optimizationdomain: socketplatform: arm64 ccc8c64
About this change
Benefit from system calls provided by Go standard library, server listener sockets inside gnet have gotten rid of the Go net package eventually,
+
 / Jul 2nd, 2020 / 
New approach to create server sockets
Leverage system calls instead of `net` package to create sockets
type: optimizationdomain: socketplatform: arm64 ccc8c64
About this change
Benefit from system calls provided by Go standard library, server listener sockets inside gnet have gotten rid of the Go net package eventually,
 there are no more methods from net package involved in the process of creating the listener of server socket, all by raw system calls. 
Get This Change
This kind of change with the `new feature` tag brings new features to gnet. Feel free to have a galance through all those commits of new features if you are interested.
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Star panjf2000/gnet
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diff --git a/highlights/2020-09-13-released-1-3-0/index.html b/highlights/2020-09-13-released-1-3-0/index.html
index 2b91e664f..61c8e8ead 100644
--- a/highlights/2020-09-13-released-1-3-0/index.html
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 / Sep 13th, 2020 / 
Released gnet v1.3.0
Released the official stable version of v1.3.0
type: releasedomain: v1.3.0 6fd641
Features
  • Determine logging mode by environment variable 2a7977
  • Support locking each I/O event-loop goroutine to an OS thread 6fd641
Enhancements
  • Improve the implementation of Least-Connections load-balancing b6a5f5
  • Speed up the Least-Connections load-balancing b5fbbd
  • Leverage system calls instead of net package to create listeners ccc8c6
  • Refine the logging module f46da4
  • Reorg errors in gnet 1c2f4b
  • Move logging module into internal package 00af50
  • Take off the codec from eventloop bc85c3
  • Refactor for buffer in Conn 455c5a
  • Refactor the load-balancing algorithm of source addr hash abbf58
  • Make channel buffered if necessary 43f93c
Bugfixes
  • Fix a bug that led to negative counter of sync.WaitGroup on Windows 16ed4a
  • Add "windows" build tag under SO_REUSEPORT mode 7862f3
  • Supplement all the formal protocol formats of TCP and UDP 258253
  • Resolve the issue of closing one fd twice b5a5c7
  • Fix concurrent loopCloseConn causes panic #111
  • Eliminate duplicate calls to loopCloseConn a72f5f
Docs
  • Add a customized codec example #90
  • Add placeholder for user cases and new relevant article 5197f1
  • Renew results of techempower benchmark 61eee8
  • Add the list of donors 42e04d
  • Add xs:code 33a3e5
  • Build an official website for gnet 49363c
  • Move the majority of content to website and simplify READMEs 903ff8
Misc
  • Fix a typo and improve code comments 37d75c
  • Use SyscallError to wrap system calls errors c3907e
  • Refine go build tags of operating systems 637144
  • Format copyright info 6872c2
  • Remove all examples from the source-code repo a704e0
  • refine the usage of os.NewSyscallError 2d54d8
Get This Change
This change was made available in 1.3.0.
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+
 / Sep 13th, 2020 / 
Released gnet v1.3.0
Released the official stable version of v1.3.0
type: releasedomain: v1.3.0 6fd641
Features
  • Determine logging mode by environment variable 2a7977
  • Support locking each I/O event-loop goroutine to an OS thread 6fd641
Enhancements
  • Improve the implementation of Least-Connections load-balancing b6a5f5
  • Speed up the Least-Connections load-balancing b5fbbd
  • Leverage system calls instead of net package to create listeners ccc8c6
  • Refine the logging module f46da4
  • Reorg errors in gnet 1c2f4b
  • Move logging module into internal package 00af50
  • Take off the codec from eventloop bc85c3
  • Refactor for buffer in Conn 455c5a
  • Refactor the load-balancing algorithm of source addr hash abbf58
  • Make channel buffered if necessary 43f93c
Bugfixes
  • Fix a bug that led to negative counter of sync.WaitGroup on Windows 16ed4a
  • Add "windows" build tag under SO_REUSEPORT mode 7862f3
  • Supplement all the formal protocol formats of TCP and UDP 258253
  • Resolve the issue of closing one fd twice b5a5c7
  • Fix concurrent loopCloseConn causes panic #111
  • Eliminate duplicate calls to loopCloseConn a72f5f
Docs
  • Add a customized codec example #90
  • Add placeholder for user cases and new relevant article 5197f1
  • Renew results of techempower benchmark 61eee8
  • Add the list of donors 42e04d
  • Add xs:code 33a3e5
  • Build an official website for gnet 49363c
  • Move the majority of content to website and simplify READMEs 903ff8
Misc
  • Fix a typo and improve code comments 37d75c
  • Use SyscallError to wrap system calls errors c3907e
  • Refine go build tags of operating systems 637144
  • Format copyright info 6872c2
  • Remove all examples from the source-code repo a704e0
  • refine the usage of os.NewSyscallError 2d54d8
Get This Change
This change was made available in 1.3.0.
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Star panjf2000/gnet
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diff --git a/highlights/2020-09-13-supported-locking-os-thread/index.html b/highlights/2020-09-13-supported-locking-os-thread/index.html
index e4aa0bdc7..453c05b82 100644
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 / Sep 13th, 2020 / 
Support locking OS thread
Support locking each I/O event-loop goroutine to an OS thread
type: new featuredomain: threadplatform: arm64 6fd6413
About this change
Add functional option LockOSThread used to determine whether each I/O event-loop is associated to an OS thread, it is useful when you need some kind of mechanisms like thread local storage,
+
 / Sep 13th, 2020 / 
Support locking OS thread
Support locking each I/O event-loop goroutine to an OS thread
type: new featuredomain: threadplatform: arm64 6fd6413
About this change
Add functional option LockOSThread used to determine whether each I/O event-loop is associated to an OS thread, it is useful when you need some kind of mechanisms like thread local storage,
 or invoke certain C libraries (such as graphics lib: GLib) that require thread-level manipulation via cgo, or want all I/O event-loops to actually run in parallel for a potential higher performance. 
Get This Change
This kind of change with the `new feature` tag brings new features to gnet. Feel free to have a galance through all those commits of new features if you are interested.
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Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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diff --git a/highlights/2021-02-17-released-1-4-0/index.html b/highlights/2021-02-17-released-1-4-0/index.html
index f4e86bd8d..35f6ab86a 100644
--- a/highlights/2021-02-17-released-1-4-0/index.html
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 / Feb 17th, 2021 / 
Released gnet v1.4.0
Released the official stable version of v1.4.0
type: releasedomain: v1.4.0 38b086
Features
  • Support TCP_NODELAY socket option 525df8
  • Implement the lock-free queue for dispatching tasks faster #181
Enhancements
  • Shrink the ring-buffer for saving memory 14fd04
  • Improve event poll fc042c
  • Improve the buffered channels 83b96e
  • Shrink the poll event list when it need to 158763
  • Improve the I/O in event-loop c554f4
  • Prioritize writable events 0f08c8
  • Make it more robust when running async jobs 6509b8
  • Improve the poller waking logic 4d8acc
Bugfixes
  • Re-enqueue the subsequent jobs when a error occurs 1af3f6
  • Close and release a socket when error occurs 9d86c9
  • Check outbound buffer in case the socket has been released 035f61
  • Avoid starving sockets e31525
Docs
  • Enrich the doc about using UDP packets 0047c1
  • Add more user cases of gnet 076b16
  • Update benchmark results 028bab
  • Update the description about ring-buffer 38b086
Misc
  • Add one more donor 12bfa5
  • Refine code 2aee5a
  • Add comments on those core code 2404ed
  • Refine code and add comments 4ecbc5
  • Add a warning comment for OnOpened 0bddd0
Get This Change
This change was made available in 1.4.0.
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+
 / Feb 17th, 2021 / 
Released gnet v1.4.0
Released the official stable version of v1.4.0
type: releasedomain: v1.4.0 38b086
Features
  • Support TCP_NODELAY socket option 525df8
  • Implement the lock-free queue for dispatching tasks faster #181
Enhancements
  • Shrink the ring-buffer for saving memory 14fd04
  • Improve event poll fc042c
  • Improve the buffered channels 83b96e
  • Shrink the poll event list when it need to 158763
  • Improve the I/O in event-loop c554f4
  • Prioritize writable events 0f08c8
  • Make it more robust when running async jobs 6509b8
  • Improve the poller waking logic 4d8acc
Bugfixes
  • Re-enqueue the subsequent jobs when a error occurs 1af3f6
  • Close and release a socket when error occurs 9d86c9
  • Check outbound buffer in case the socket has been released 035f61
  • Avoid starving sockets e31525
Docs
  • Enrich the doc about using UDP packets 0047c1
  • Add more user cases of gnet 076b16
  • Update benchmark results 028bab
  • Update the description about ring-buffer 38b086
Misc
  • Add one more donor 12bfa5
  • Refine code 2aee5a
  • Add comments on those core code 2404ed
  • Refine code and add comments 4ecbc5
  • Add a warning comment for OnOpened 0bddd0
Get This Change
This change was made available in 1.4.0.
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diff --git a/highlights/2021-07-11-released-1-5-0/index.html b/highlights/2021-07-11-released-1-5-0/index.html
index 128258d44..a9495300d 100644
--- a/highlights/2021-07-11-released-1-5-0/index.html
+++ b/highlights/2021-07-11-released-1-5-0/index.html
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 / Jul 11th, 2021 / 
Released gnet v1.5.0
Released the official stable version of v1.5.0
type: releasedomain: v1.5.0 75f87e
Features
  • Move the logging module out of the internal package and refactor to make it serviceable for users d56606 b6b1cf 8837a9
Enhancements
  • Support writev and readv in eventloop f299a8
  • Reduce GC pause frequency for Conn.AsyncWrite (#218) 477bb4
  • Improve logging module 8837a9 b6b1cf
  • Refactor the inside AsyncTaskQueue to make it more generic 2d1a46
  • Reduce GC pause frequency for accepting connections 2d1a46
Docs
  • Add a new user case: Tencent Games b7ea83
  • Add a new donor ee965a
Misc
  • Add debugging log when error occurs in Accept() #222
  • Make some trivial changes to ring-buffer 1bdd3a
Get This Change
This change was made available in 1.5.0.
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Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

+
 / Jul 11th, 2021 / 
Released gnet v1.5.0
Released the official stable version of v1.5.0
type: releasedomain: v1.5.0 75f87e
Features
  • Move the logging module out of the internal package and refactor to make it serviceable for users d56606 b6b1cf 8837a9
Enhancements
  • Support writev and readv in eventloop f299a8
  • Reduce GC pause frequency for Conn.AsyncWrite (#218) 477bb4
  • Improve logging module 8837a9 b6b1cf
  • Refactor the inside AsyncTaskQueue to make it more generic 2d1a46
  • Reduce GC pause frequency for accepting connections 2d1a46
Docs
  • Add a new user case: Tencent Games b7ea83
  • Add a new donor ee965a
Misc
  • Add debugging log when error occurs in Accept() #222
  • Make some trivial changes to ring-buffer 1bdd3a
Get This Change
This change was made available in 1.5.0.
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diff --git a/highlights/2021-07-20-released-1-5-2/index.html b/highlights/2021-07-20-released-1-5-2/index.html
index 5afb2549d..09da3f986 100644
--- a/highlights/2021-07-20-released-1-5-2/index.html
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 / Jul 20th, 2021 / 
Released gnet v1.5.2
Released the official stable version of v1.5.2
type: tagdomain: v1.5.2 551cd5
Enhancements
About poller
By default, gnet utilizes the standard package golang.org/x/sys/unix to implement pollers with epoll or kqueue, where a HASH MAP of fd->conn is introduced to help retrieve connections by file descriptors returned from pollers, but now the user can run go build with build tags poll_opt, like this: go build -tags=poll_opt, and gnet then switch to the optimized implementations of pollers that invoke the system calls of epoll or kqueue directly and add file descriptors to the interest list along with storing the corresponding connection pointers into epoll_data or kevent, in which case gnet can get rid of the HASH MAP of fd->conn and regain each connection pointer by the conversion of void* pointer in the I/O event-looping. In theory, it ought to achieve a higher performance with this optimization. 
See #230 for code details.
About ring-buffer
Adjust the growth strategy of ring-buffer, make it go more smoothly rather than simply doubling up (which may waste a huge amount of memory) in each buffer scaling. ccd37f fd8d27
Get This Change
This change was made available in 1.5.2.
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+
 / Jul 20th, 2021 / 
Released gnet v1.5.2
Released the official stable version of v1.5.2
type: tagdomain: v1.5.2 551cd5
Enhancements
About poller
By default, gnet utilizes the standard package golang.org/x/sys/unix to implement pollers with epoll or kqueue, where a HASH MAP of fd->conn is introduced to help retrieve connections by file descriptors returned from pollers, but now the user can run go build with build tags poll_opt, like this: go build -tags=poll_opt, and gnet then switch to the optimized implementations of pollers that invoke the system calls of epoll or kqueue directly and add file descriptors to the interest list along with storing the corresponding connection pointers into epoll_data or kevent, in which case gnet can get rid of the HASH MAP of fd->conn and regain each connection pointer by the conversion of void* pointer in the I/O event-looping. In theory, it ought to achieve a higher performance with this optimization. 
See #230 for code details.
About ring-buffer
Adjust the growth strategy of ring-buffer, make it go more smoothly rather than simply doubling up (which may waste a huge amount of memory) in each buffer scaling. ccd37f fd8d27
Get This Change
This change was made available in 1.5.2.
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diff --git a/highlights/2021-12-05-released-1-6-0/index.html b/highlights/2021-12-05-released-1-6-0/index.html
index 38357c1bf..66fd4dac8 100644
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 / Dec 5th, 2021 / 
Released gnet v1.6.0
Released the official stable version of v1.6.0
type: tagdomain: v1.6.0 b8d571d
gnet client is now available for production!
Features
  • Add a new event handler: AfterWrite() 6a654c
  • Implement the gnet client 2295e8 a5ac95 4db46d 802fa3 7159b9
  • Implement writev and readv on BSD-like OS's 60ba6d
  • Implement a mixed buffer of ring-buffer and list-buffer edbdf4
  • Invoke OnClosed() when a UDP socket is closed 7be4b2
  • Implement the gnet.Conn.AsyncWritev() 9a2032
Enhancements
  • Prevent the event-list from expanding or shrinking endlessly b220df
  • Reduce the potential system calls for waking pollers up 9ce41f
  • Eliminate the code for preventing false-sharing 0bfade
  • Support so_reuseaddr #280
  • Make several improvements for logger 58d203
  • Optimize the buffer management and network I/O 6aba6d
  • Improve the project layout 2e172b
  • Improve the logic of reading data from socket into ring-buffer a7f07b
  • Get as much data read from socket per loop as possible 148ee1
  • Improve the network read with ring-buffer and readv 0dcf59
  • Avoid memory allocations when calling readv 15611b
  • Refactor the logic of handling UDP sockets d72d3d
  • Make the mixed-buffer more flexible d72d3d
  • Improve the management logic of the mixed-buffer b8d571
Bugfixes
  • Resolve the data race of stdConn on Windows #235
  • Fix the data corruption in some default codecs a56d2f
  • Fix the issue of panic: runtime error: slice bounds out of range 30311e
Docs
Misc
Get This Change
This change was made available in 1.6.0.
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Follow @panjf2000
Get real-time updates!
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Star the repo to support us.

+
 / Dec 5th, 2021 / 
Released gnet v1.6.0
Released the official stable version of v1.6.0
type: tagdomain: v1.6.0 b8d571d
gnet client is now available for production!
Features
  • Add a new event handler: AfterWrite() 6a654c
  • Implement the gnet client 2295e8 a5ac95 4db46d 802fa3 7159b9
  • Implement writev and readv on BSD-like OS's 60ba6d
  • Implement a mixed buffer of ring-buffer and list-buffer edbdf4
  • Invoke OnClosed() when a UDP socket is closed 7be4b2
  • Implement the gnet.Conn.AsyncWritev() 9a2032
Enhancements
  • Prevent the event-list from expanding or shrinking endlessly b220df
  • Reduce the potential system calls for waking pollers up 9ce41f
  • Eliminate the code for preventing false-sharing 0bfade
  • Support so_reuseaddr #280
  • Make several improvements for logger 58d203
  • Optimize the buffer management and network I/O 6aba6d
  • Improve the project layout 2e172b
  • Improve the logic of reading data from socket into ring-buffer a7f07b
  • Get as much data read from socket per loop as possible 148ee1
  • Improve the network read with ring-buffer and readv 0dcf59
  • Avoid memory allocations when calling readv 15611b
  • Refactor the logic of handling UDP sockets d72d3d
  • Make the mixed-buffer more flexible d72d3d
  • Improve the management logic of the mixed-buffer b8d571
Bugfixes
  • Resolve the data race of stdConn on Windows #235
  • Fix the data corruption in some default codecs a56d2f
  • Fix the issue of panic: runtime error: slice bounds out of range 30311e
Docs
Misc
Get This Change
This change was made available in 1.6.0.
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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diff --git a/highlights/2022-02-27-release-of-gnet-v2/index.html b/highlights/2022-02-27-release-of-gnet-v2/index.html
index fa47eadb5..b17215c9b 100644
--- a/highlights/2022-02-27-release-of-gnet-v2/index.html
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 / Feb 27th, 2022 / 
Release of gnet v2.0.0
Release of the official stable version of v2.0.0
type: tagdomain: v2.0.0 fc91d13
Today, I'm thrilled to announce the release of gnet v2.0.0, in which we've made plenty of significant improvements and optimizations: added and removed some APIs, redesigned and reimplemented the buffer, optimized the memory pool, etc.
Please visit Announcing gnet v2.0.0 blog post
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This change was made available in 2.0.0.
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Star panjf2000/gnet
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+
 / Feb 27th, 2022 / 
Release of gnet v2.0.0
Release of the official stable version of v2.0.0
type: tagdomain: v2.0.0 fc91d13
Today, I'm thrilled to announce the release of gnet v2.0.0, in which we've made plenty of significant improvements and optimizations: added and removed some APIs, redesigned and reimplemented the buffer, optimized the memory pool, etc.
Please visit Announcing gnet v2.0.0 blog post
Get This Change
This change was made available in 2.0.0.
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Get real-time updates!
Star panjf2000/gnet
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diff --git a/highlights/2022-12-03-release-of-gnet-v2-2-0/index.html b/highlights/2022-12-03-release-of-gnet-v2-2-0/index.html
index 58c9d04cd..2282c2bd8 100644
--- a/highlights/2022-12-03-release-of-gnet-v2-2-0/index.html
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 / Dec 3rd, 2022 / 
Release of gnet v2.2.0
Release of the official stable version of v2.2.0
type: tagdomain: v2.2.0 d9024a0
The release of v2.2.0 predominantly focuses on bug fixes and feature implementations.
It's worth noting that breaking changes have been made to the API, so please refer to the release notes for more information.
Get This Change
This change was made available in 2.2.0.
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+
 / Dec 3rd, 2022 / 
Release of gnet v2.2.0
Release of the official stable version of v2.2.0
type: tagdomain: v2.2.0 d9024a0
The release of v2.2.0 predominantly focuses on bug fixes and feature implementations.
It's worth noting that breaking changes have been made to the API, so please refer to the release notes for more information.
Get This Change
This change was made available in 2.2.0.
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Get real-time updates!
Star panjf2000/gnet
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diff --git a/highlights/2023-05-19-release-candidate-for-gnet-v2-3-0/index.html b/highlights/2023-05-19-release-candidate-for-gnet-v2-3-0/index.html
index 9a6294d81..4d47c3b09 100644
--- a/highlights/2023-05-19-release-candidate-for-gnet-v2-3-0/index.html
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 / May 19th, 2023 / 
Release candidate for gnet v2.3.0
The first release candidate for gnet v2.3.0
type: tagdomain: v2.3.0-rc.1 b493107
Intro
The two major updates in this release candidate are #460 and #461.
We introduced a new data structure matrix in #460 to displace the default map for managing connections internally, with the help of this new data structure, we can eliminate the pointers in map and store connections in the form of a matrix (an array of slices), which will significantly reduce GC (Garbage Collection) latency:
goos: darwin
goarch: arm64
pkg: github.com/panjf2000/gnet/v2
                                    │     old      │                 new                  │
                                    │    sec/op    │    sec/op     vs base                │
GC4El100k/Run-4-eventloop-100000-10    30.74m ± 3%   19.68m ± 10%  -35.98% (p=0.000 n=10)
GC4El200k/Run-4-eventloop-200000-10    63.64m ± 3%   38.16m ± 11%  -40.04% (p=0.000 n=10)
GC4El500k/Run-4-eventloop-500000-10   177.28m ± 8%   95.21m ±  4%  -46.29% (p=0.000 n=10)
geomean                                70.26m        41.51m        -40.92%

+
 / May 19th, 2023 / 
Release candidate for gnet v2.3.0
The first release candidate for gnet v2.3.0
type: tagdomain: v2.3.0-rc.1 b493107
Intro
The two major updates in this release candidate are #460 and #461.
We introduced a new data structure matrix in #460 to displace the default map for managing connections internally, with the help of this new data structure, we can eliminate the pointers in map and store connections in the form of a matrix (an array of slices), which will significantly reduce GC (Garbage Collection) latency:
goos: darwin
goarch: arm64
pkg: github.com/panjf2000/gnet/v2
                                    │     old      │                 new                  │
                                    │    sec/op    │    sec/op     vs base                │
GC4El100k/Run-4-eventloop-100000-10    30.74m ± 3%   19.68m ± 10%  -35.98% (p=0.000 n=10)
GC4El200k/Run-4-eventloop-200000-10    63.64m ± 3%   38.16m ± 11%  -40.04% (p=0.000 n=10)
GC4El500k/Run-4-eventloop-500000-10   177.28m ± 8%   95.21m ±  4%  -46.29% (p=0.000 n=10)
geomean                                70.26m        41.51m        -40.92%

 
                                    │     old     │                new                 │
                                    │    B/op     │    B/op      vs base               │
GC4El100k/Run-4-eventloop-100000-10   27.50 ± 35%   25.50 ± 33%       ~ (p=0.423 n=10)
GC4El200k/Run-4-eventloop-200000-10   27.50 ± 53%   20.50 ± 66%       ~ (p=0.642 n=10)
GC4El500k/Run-4-eventloop-500000-10   16.00 ±   ?   18.00 ±   ?       ~ (p=0.357 n=10)
geomean                               22.96         21.11        -8.04%

 
                                    │     old      │                 new                 │
                                    │  allocs/op   │ allocs/op   vs base                 │
GC4El100k/Run-4-eventloop-100000-10   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
GC4El200k/Run-4-eventloop-200000-10   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
GC4El500k/Run-4-eventloop-500000-10   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
geomean                                          ²               +0.00%                ²
¹ all samples are equal
² summaries must be >0 to compute geomean
The more connections there are, the more pronounced the effect.
While we have performed sufficient testing on matrix, we are still using map as the default connection storage in this RC version for the sake of caution, but you can enable the new data structure by specifying build tags: -tags=gc_opt. This can be considered as a precautionary measure so that in case matrix has any unexpected bugs, you can quickly fall back to the default map. We will consider promoting matrix to be the default storage for connections in a subsequent official release.
Another significant leap is #461, you can now run gnet on Windows, it should be noted that the Windows version of gnet is intended for development purposes and is not recommended for use in production.
Visit the release notes for more details.
Get This Change
This change was made available in 2.3.0-rc.1.
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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diff --git a/highlights/2023-07-01-release-of-gnet-v2-3-0/index.html b/highlights/2023-07-01-release-of-gnet-v2-3-0/index.html
index a59514907..9a4af2431 100644
--- a/highlights/2023-07-01-release-of-gnet-v2-3-0/index.html
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 / Jul 1st, 2023 / 
Release of gnet v2.3.0
Release of the official stable version of v2.3.0
type: tagdomain: v2.3.0 59a3c61
Intro
The two major updates in this official release are #460 and #461.
We introduced a new data structure matrix in #460 to displace the default map for managing connections internally, with the help of this new data structure, we can eliminate the pointers in map and store connections in the form of a matrix (an array of slices), which will significantly reduce GC (Garbage Collection) latency:
goos: darwin
goarch: arm64
pkg: github.com/panjf2000/gnet/v2
                                    │     old      │                 new                  │
                                    │    sec/op    │    sec/op     vs base                │
GC4El100k/Run-4-eventloop-100000-10    30.74m ± 3%   19.68m ± 10%  -35.98% (p=0.000 n=10)
GC4El200k/Run-4-eventloop-200000-10    63.64m ± 3%   38.16m ± 11%  -40.04% (p=0.000 n=10)
GC4El500k/Run-4-eventloop-500000-10   177.28m ± 8%   95.21m ±  4%  -46.29% (p=0.000 n=10)
geomean                                70.26m        41.51m        -40.92%

+
 / Jul 1st, 2023 / 
Release of gnet v2.3.0
Release of the official stable version of v2.3.0
type: tagdomain: v2.3.0 59a3c61
Intro
The two major updates in this official release are #460 and #461.
We introduced a new data structure matrix in #460 to displace the default map for managing connections internally, with the help of this new data structure, we can eliminate the pointers in map and store connections in the form of a matrix (an array of slices), which will significantly reduce GC (Garbage Collection) latency:
goos: darwin
goarch: arm64
pkg: github.com/panjf2000/gnet/v2
                                    │     old      │                 new                  │
                                    │    sec/op    │    sec/op     vs base                │
GC4El100k/Run-4-eventloop-100000-10    30.74m ± 3%   19.68m ± 10%  -35.98% (p=0.000 n=10)
GC4El200k/Run-4-eventloop-200000-10    63.64m ± 3%   38.16m ± 11%  -40.04% (p=0.000 n=10)
GC4El500k/Run-4-eventloop-500000-10   177.28m ± 8%   95.21m ±  4%  -46.29% (p=0.000 n=10)
geomean                                70.26m        41.51m        -40.92%

 
                                    │     old     │                new                 │
                                    │    B/op     │    B/op      vs base               │
GC4El100k/Run-4-eventloop-100000-10   27.50 ± 35%   25.50 ± 33%       ~ (p=0.423 n=10)
GC4El200k/Run-4-eventloop-200000-10   27.50 ± 53%   20.50 ± 66%       ~ (p=0.642 n=10)
GC4El500k/Run-4-eventloop-500000-10   16.00 ±   ?   18.00 ±   ?       ~ (p=0.357 n=10)
geomean                               22.96         21.11        -8.04%

 
                                    │     old      │                 new                 │
                                    │  allocs/op   │ allocs/op   vs base                 │
GC4El100k/Run-4-eventloop-100000-10   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
GC4El200k/Run-4-eventloop-200000-10   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
GC4El500k/Run-4-eventloop-500000-10   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
geomean                                          ²               +0.00%                ²
¹ all samples are equal
² summaries must be >0 to compute geomean
The more connections there are, the more pronounced the effect.
While we have performed sufficient testing on matrix, we are still using map as the default connection storage in this RC version for the sake of caution, but you can enable the new data structure by specifying build tags: -tags=gc_opt. This can be considered as a precautionary measure so that in case matrix has any unexpected bugs, you can quickly fall back to the default map. We will consider promoting matrix to be the default storage for connections in a subsequent official release.
Another significant leap is #461, you can now run gnet on Windows, it should be noted that the Windows version of gnet is intended for development purposes and is not recommended for use in production.
Visit the release notes for more details.
Get This Change
This change was made available in 2.3.0.
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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diff --git a/highlights/2023-11-11-gnet-techempower-benchmark-top1/index.html b/highlights/2023-11-11-gnet-techempower-benchmark-top1/index.html
index 9dd2feb8b..3f50705f8 100644
--- a/highlights/2023-11-11-gnet-techempower-benchmark-top1/index.html
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 / Nov 11th, 2023 / 
Gnet tops the TechEmpower benchmark leaderboard
Gnet tops the TechEmpower benchmark leaderboard, becoming the world No. 1
type: tagdomain: v2.3.5 8096138
Breaking News 🎉🎉🎉
TechEmpower Web Framework Benchmarks is a performance comparison of many web application frameworks executing fundamental tasks such as JSON serialization, database access, and server-side template composition.
gnet tops the leaderboard of TechEmpower Plaintext Benchmark in round 22, becoming the world No. 1.
This is a leaderboard of the top 50 out of 486 frameworks that encompass various programming languages worldwide, in which gnet is ranked first.
This is the full framework ranking of Go and gnet tops all the other frameworks, which makes gnet the fastest networking framework in Go.
To see the full leaderboard, visit TechEmpower Benchmark Round 22.
Get This Change
This change was made available in 2.3.5.
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

+
 / Nov 11th, 2023 / 
Gnet tops the TechEmpower benchmark leaderboard
Gnet tops the TechEmpower benchmark leaderboard, becoming the world No. 1
type: tagdomain: v2.3.5 8096138
Breaking News 🎉🎉🎉
TechEmpower Web Framework Benchmarks is a performance comparison of many web application frameworks executing fundamental tasks such as JSON serialization, database access, and server-side template composition.
gnet tops the leaderboard of TechEmpower Plaintext Benchmark in round 22, becoming the world No. 1.
This is a leaderboard of the top 50 out of 486 frameworks that encompass various programming languages worldwide, in which gnet is ranked first.
This is the full framework ranking of Go and gnet tops all the other frameworks, which makes gnet the fastest networking framework in Go.
To see the full leaderboard, visit TechEmpower Benchmark Round 22.
Get This Change
This change was made available in 2.3.5.
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Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
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diff --git a/highlights/2024-04-04-release-of-gnet-v2-4-0/index.html b/highlights/2024-04-04-release-of-gnet-v2-4-0/index.html
index 1e7b84baa..81dfbb0d7 100644
--- a/highlights/2024-04-04-release-of-gnet-v2-4-0/index.html
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diff --git a/highlights/2024-04-22-release-of-gnet-v2-5-0/index.html b/highlights/2024-04-22-release-of-gnet-v2-5-0/index.html
index 57e695847..86ad6ea61 100644
--- a/highlights/2024-04-22-release-of-gnet-v2-5-0/index.html
+++ b/highlights/2024-04-22-release-of-gnet-v2-5-0/index.html
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 / Apr 22nd, 2024 / 
Release of gnet v2.5.0
Release of the official stable version of v2.5.0
type: tagdomain: v2.5.0 5c043e6
I hereby announce the release of gnet v2.5.0, where we've added two major features of edge-triggered mode and multiple addresses bindings, along with a good deal of code refactoring and optimizations.
Please visit Announcing gnet v2.5.0 for more details.
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This change was made available in 2.5.0.
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Star panjf2000/gnet
Star the repo to support us.

+
 / Apr 22nd, 2024 / 
Release of gnet v2.5.0
Release of the official stable version of v2.5.0
type: tagdomain: v2.5.0 5c043e6
I hereby announce the release of gnet v2.5.0, where we've added two major features of edge-triggered mode and multiple addresses bindings, along with a good deal of code refactoring and optimizations.
Please visit Announcing gnet v2.5.0 for more details.
Get This Change
This change was made available in 2.5.0.
Like What You See?
Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
-
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diff --git a/highlights/2024-11-09-release-of-gnet-v2-6-0/index.html b/highlights/2024-11-09-release-of-gnet-v2-6-0/index.html
index bb68b76f8..a3afed392 100644
--- a/highlights/2024-11-09-release-of-gnet-v2-6-0/index.html
+++ b/highlights/2024-11-09-release-of-gnet-v2-6-0/index.html
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 / Nov 9th, 2024 / 
Release of gnet v2.6.0
Release of the official stable version of v2.6.0
type: tagdomain: v2.6.0 2b0357c
I hereby announce the release of gnet v2.6.0, where we've added two major features of SO_BINDTODEVICE and configurable edge-triggered chunk, along with a few bug-fixes.
Another change to note is that starting with this release, the minimum required Go version to run gnet is 1.20!
Get This Change
This change was made available in 2.6.0.
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+
 / Nov 9th, 2024 / 
Release of gnet v2.6.0
Release of the official stable version of v2.6.0
type: tagdomain: v2.6.0 2b0357c
I hereby announce the release of gnet v2.6.0, where we've added two major features of SO_BINDTODEVICE and configurable edge-triggered chunk, along with a few bug-fixes.
Another change to note is that starting with this release, the minimum required Go version to run gnet is 1.20!
Get This Change
This change was made available in 2.6.0.
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Follow @panjf2000
Get real-time updates!
Star panjf2000/gnet
Star the repo to support us.

 

 
 
 
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index 0c9d09872..babf9c366 100644
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gnet Highlights
New features & updates. Follow   @panjf2000 for real-time updates!

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New features & updates. Follow   @panjf2000 for real-time updates!

 

 
 
 
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All Highlight Tags
Types
Domains
Platforms

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All Highlight Tags
Types
Domains
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diff --git a/highlights/tags/platform-arm-64/index.html b/highlights/tags/platform-arm-64/index.html
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-
Build high-performance networking applications in Go
On top of a variety of protocols of HTTP, RPC, WebSocket, Redis, etc.
 View on Github
gnet is the fastest networking framework in Go.
Why gnet?
Ultra-Fast
Built in Go, gnet is ultra-fast and memory efficient based on the event-driven mechanism. It's designed to create a networking server framework for Go that performs on par with Redis and Haproxy for networking packets handling.
Lock-Free
gnet is lock-free during the entire runtime, which keeps gnet free from synchronization issues and speeds it up.
Concise & Easy-to-use APIs
gnet provides concise and easy-to-use APIs for users, it only exposes the essential APIs and takes over most of the tough work for users, minimizing the complexity of business code so that developers are able to concentrate on business logic instead of the underlying implementations.
Multiple Protocols
gnet supports multiple protocols/IPC mechanism: TCP, UDP and Unix Domain Socket, enabling you to develop a variety of networking applications.
Cross Platform
gnet is devised as a cross-platform framework, as a result, it works faultlessly on multiple platforms: Linux, FreeBSD, DragonFly BSD, Windows.
Powerful Libraries
There is a rich set of libraries in gnet, such as memory pool, goroutine pool, elastic buffers, logging package, etc., which makes it convenient for developers to build fast and efficient networking applications.
Networking model of multiple reactors
Learn how gnet works
Cross Platform
Built on Linux, FreeBSD, DragonFly BSD, Darwin, Windows
        
 UNIX & Windows
 X86_64, ARM64
 Light-weight
 Ultra-fast
How to install gnet
`gnet` is available as a Go module and we highly recommend that you use `gnet` via Go Modules, with Go 1.11 Modules enabled (Go 1.11+), you can just simply add `import "github.com/panjf2000/gnet/v2"` to the codebase and run `go mod download/go mod tidy` or `go [build|run|test]` to download the necessary dependencies automatically.
Run go get to download gnet:
With v2
go get -u github.com/panjf2000/gnet/v2
With v1
go get -u github.com/panjf2000/gnet
Performance
Benchmarks on TechEmpower
# Hardware Environment
* 28 HT Cores Intel(R) Xeon(R) Gold 5120 CPU @ 3.20GHz
* 32GB RAM
* Dedicated Cisco 10-gigabit Ethernet switch
* Debian 12 "bookworm"
* Go1.19.x linux/amd64

All languages
This is a leaderboard of the top 50 out of 486 frameworks that encompass various programming languages worldwide, in which gnet is ranked first.
Go
This is the full framework ranking of Go and gnet tops all the other frameworks, which makes gnet the fastest networking framework in Go.

To check the full ranking list, visit TechEmpower Benchmark Round 22.
Note that the HTTP implementation of gnet on TechEmpower is half-baked and fine-tuned for benchmark purposes only and is far from production-ready.
Use cases
The following companies/organizations use gnet as the underlying network service in production.

If your projects are also using gnet, feel free to open a pull request refreshing this list.

+
Build high-performance networking applications in Go
On top of a variety of protocols of HTTP, RPC, WebSocket, Redis, etc.
 View on Github
gnet is the fastest networking framework in Go.
Why gnet?
Ultra-Fast
Built in Go, gnet is ultra-fast and memory efficient based on the event-driven mechanism. It's designed to create a networking server framework for Go that performs on par with Redis and Haproxy for networking packets handling.
Lock-Free
gnet is lock-free during the entire runtime, which keeps gnet free from synchronization issues and speeds it up.
Concise & Easy-to-use APIs
gnet provides concise and easy-to-use APIs for users, it only exposes the essential APIs and takes over most of the tough work for users, minimizing the complexity of business code so that developers are able to concentrate on business logic instead of the underlying implementations.
Multiple Protocols
gnet supports multiple protocols/IPC mechanism: TCP, UDP and Unix Domain Socket, enabling you to develop a variety of networking applications.
Cross Platform
gnet is devised as a cross-platform framework, as a result, it works faultlessly on multiple platforms: Linux, FreeBSD, DragonFly BSD, Windows.
Powerful Libraries
There is a rich set of libraries in gnet, such as memory pool, goroutine pool, elastic buffers, logging package, etc., which makes it convenient for developers to build fast and efficient networking applications.
Networking model of multiple reactors
Learn how gnet works
Cross Platform
Built on Linux, FreeBSD, DragonFly BSD, Darwin, Windows
        
 UNIX & Windows
 X86_64, ARM64
 Light-weight
 Ultra-fast
How to install gnet
`gnet` is available as a Go module and we highly recommend that you use `gnet` via Go Modules, with Go 1.11 Modules enabled (Go 1.11+), you can just simply add `import "github.com/panjf2000/gnet/v2"` to the codebase and run `go mod download/go mod tidy` or `go [build|run|test]` to download the necessary dependencies automatically.
Run go get to download gnet:
With v2
go get -u github.com/panjf2000/gnet/v2
With v1
go get -u github.com/panjf2000/gnet
Performance
Benchmarks on TechEmpower
# Hardware Environment
* 28 HT Cores Intel(R) Xeon(R) Gold 5120 CPU @ 3.20GHz
* 32GB RAM
* Dedicated Cisco 10-gigabit Ethernet switch
* Debian 12 "bookworm"
* Go1.19.x linux/amd64

All languages
This is a leaderboard of the top 50 out of 486 frameworks that encompass various programming languages worldwide, in which gnet is ranked first.
Go
This is the full framework ranking of Go and gnet tops all the other frameworks, which makes gnet the fastest networking framework in Go.

To check the full ranking list, visit TechEmpower Benchmark Round 22.
Note that the HTTP implementation of gnet on TechEmpower is half-baked and fine-tuned for benchmark purposes only and is far from production-ready.
Use cases
The following companies/organizations use gnet as the underlying network service in production.

If your projects are also using gnet, feel free to open a pull request refreshing this list.

 

 
 
 
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similarity index 93%
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rename to runtime~main.adbdad8d.js
index f7ac63bf0..052bed557 100644
--- a/runtime~main.588a5677.js
+++ b/runtime~main.adbdad8d.js
@@ -1 +1 @@
-!function(e){function c(c){for(var d,a,r=c[0],n=c[1],o=c[2],u=0,i=[];u