protoactor-go

protoactor-go

Go语言实现的高性能跨平台Actor框架

protoactor-go 是一个用 Go 语言实现的高性能跨平台 Actor 框架。它提供简洁 API,基于成熟技术构建,支持显式序列化。该框架实现了 Go 和 C# 之间的 Actor 通信,具有分布式、容错和解耦并发特性。protoactor-go 采用 Protobuf 序列化和 gRPC 网络传输,确保跨平台兼容性和稳定性。目前处于 beta 阶段,已有部分用户在生产环境使用。

Proto ActorGoactor模型并发编程分布式系统Github开源项目

Go Report Card GoDoc checks Sourcegraph

Join our Slack channel

Cross platform actors

Introducing cross platform actor support between Go and C#.

Can I use this? The Go implementation is still in beta, there are users using Proto Actor for Go in production already. But be aware that the API might change over time until 1.0.

Sourcecode - Go

This is the Go repository for Proto Actor.

The C# implementation can be found here https://github.com/asynkron/protoactor-dotnet

Design principles:

Minimalistic API - The API should be small and easy to use. Avoid enterprisey JVM like containers and configurations.

Build on existing technologies - There are already a lot of great tech for e.g. networking and clustering, build on those. e.g. gRPC streams for networking, Consul.IO for clustering.

Pass data, not objects - Serialization is an explicit concern, don't try to hide it. Protobuf all the way.

Be fast - Do not trade performance for magic API trickery.

Ultra fast remoting, Proto Actor currently manages to pass over two million messages per second between nodes using only two actors, while still preserving message order! This is six times more the new super advanced UDP based Artery transport for Scala Akka, and 30 times faster than Akka.NET.

:> node1.exe Started EndpointManager Started Activator Starting Proto.Actor server address="127.0.0.1:8081" Started EndpointWatcher address="127.0.0.1:8080" Started EndpointWriter address="127.0.0.1:8080" EndpointWriter connecting address="127.0.0.1:8080" EndpointWriter connected address="127.0.0.1:8080" 2020/06/22 10:45:20 Starting to send 2020/06/22 10:45:20 50000 2020/06/22 10:45:20 100000 2020/06/22 10:45:20 150000 ... snip ... 2020/06/22 10:45:21 900000 2020/06/22 10:45:21 950000 2020/06/22 10:45:21 1000000 2020/06/22 10:45:21 Elapsed 732.9921ms 2020/06/22 10:45:21 Msg per sec 2728542 <--

History

As the creator of the Akka.NET project, I have come to some distinct conclusions while being involved in that project. In Akka.NET we created our own thread pool, our own networking layer, our own serialization support, our own configuration support etc. etc. This was all fun and challenging, it is however now my firm opinion that this is the wrong way to go about things.

If possible, software should be composed, not built, only add code to glue existing pieces together. This yields a much better time to market, and allows us to focus on solving the actual problem at hand, in this case concurrency and distributed programming.

Proto Actor builds on existing technologies, Protobuf for serialization, gRPC streams for network transport. This ensures cross platform compatibility, network protocol version tolerance and battle proven stability.

Another extremely important factor here is business agility and having an exit strategy. By being cross platform, your organization is no longer tied into a specific platform, if you are migrating from .NET to Go, This can be done while still allowing actor based services to communicate between platforms.

Reinvent by not reinventing.


Why Actors

batman

  • Decoupled Concurrency
  • Distributed by default
  • Fault tolerance

For a more indepth description of the differences, see this thread Actors vs. CSP

Building

You need to ensure that your $GOPATH variable is properly set.

Next, install the standard protocol buffer implementation and run the following commands to get all the necessary tooling:

go get github.com/asynkron/protoactor-go/...
cd $GOPATH/src/github.com/asynkron/protoactor-go
go get ./...
make

After invoking last command you will have generated protobuf definitions and built the project.

Windows users can use Cygwin to run make: www.cygwin.com

Testing

This command exectutes all tests in the repository except for consul integration tests (you need consul for running those tests). We also skip directories that don't contain any tests.

go test `go list ./... | grep -v "/examples/" | grep -v "/persistence" | grep -v "/scheduler"`

Hello world

type Hello struct{ Who string } type HelloActor struct{} func (state *HelloActor) Receive(context actor.Context) { switch msg := context.Message().(type) { case Hello: fmt.Printf("Hello %v\n", msg.Who) } } func main() { context := actor.EmptyRootContext props := actor.PropsFromProducer(func() actor.Actor { return &HelloActor{} }) pid, err := context.Spawn(props) if err != nil { panic(err) } context.Send(pid, Hello{Who: "Roger"}) console.ReadLine() }

State machines / SetBehavior, PushBehavior and PopBehavior

type Hello struct{ Who string } type SetBehaviorActor struct{} func (state *SetBehaviorActor) Receive(context actor.Context) { switch msg := context.Message().(type) { case Hello: fmt.Printf("Hello %v\n", msg.Who) context.SetBehavior(state.Other) } } func (state *SetBehaviorActor) Other(context actor.Context) { switch msg := context.Message().(type) { case Hello: fmt.Printf("%v, ey we are now handling messages in another behavior", msg.Who) } } func NewSetBehaviorActor() actor.Actor { return &SetBehaviorActor{} } func main() { context := actor.EmptyRootContext props := actor.PropsFromProducer(NewSetBehaviorActor) pid, err := context.Spawn(props) if err != nil { panic(err) } context.Send(pid, Hello{Who: "Roger"}) context.Send(pid, Hello{Who: "Roger"}) console.ReadLine() }

Lifecycle events

Unlike Akka, Proto Actor uses messages for lifecycle events instead of OOP method overrides

type Hello struct{ Who string } type HelloActor struct{} func (state *HelloActor) Receive(context actor.Context) { switch msg := context.Message().(type) { case *actor.Started: fmt.Println("Started, initialize actor here") case *actor.Stopping: fmt.Println("Stopping, actor is about shut down") case *actor.Stopped: fmt.Println("Stopped, actor and its children are stopped") case *actor.Restarting: fmt.Println("Restarting, actor is about restart") case Hello: fmt.Printf("Hello %v\n", msg.Who) } } func main() { context := actor.EmptyRootContext props := actor.PropsFromProducer(func() actor.Actor { return &HelloActor{} }) pid, err := context.Spawn(props) if err != nil { panic(err) } context.Send(pid, Hello{Who: "Roger"}) // why wait? // Stop is a system message and is not processed through the user message mailbox // thus, it will be handled _before_ any user message // we only do this to show the correct order of events in the console time.Sleep(1 * time.Second) context.Stop(pid) console.ReadLine() }

Supervision

Root actors are supervised by the actor.DefaultSupervisionStrategy(), which always issues a actor.RestartDirective for failing actors Child actors are supervised by their parents. Parents can customize their child supervisor strategy using Proto Actor.Props

Example

type Hello struct{ Who string } type ParentActor struct{} func (state *ParentActor) Receive(context actor.Context) { switch msg := context.Message().(type) { case Hello: props := actor.PropsFromProducer(NewChildActor) child := context.Spawn(props) context.Send(child, msg) } } func NewParentActor() actor.Actor { return &ParentActor{} } type ChildActor struct{} func (state *ChildActor) Receive(context actor.Context) { switch msg := context.Message().(type) { case *actor.Started: fmt.Println("Starting, initialize actor here") case *actor.Stopping: fmt.Println("Stopping, actor is about shut down") case *actor.Stopped: fmt.Println("Stopped, actor and its children are stopped") case *actor.Restarting: fmt.Println("Restarting, actor is about restart") case Hello: fmt.Printf("Hello %v\n", msg.Who) panic("Ouch") } } func NewChildActor() actor.Actor { return &ChildActor{} } func main() { decider := func(reason interface{}) actor.Directive { log.Printf("handling failure for child. reason:%v", reason) // return actor.StopDirective return actor.RestartDirective } supervisor := actor.NewOneForOneStrategy(10, 1000, decider) ctx := actor.NewActorSystem().Root props := actor.PropsFromProducer(NewParentActor).WithSupervisor(supervisor) pid := ctx.Spawn(props) ctx.Send(pid, Hello{Who: "Roger"}) console.ReadLine() }

Networking / Remoting

Proto Actor's networking layer is built as a thin wrapper ontop of gRPC and message serialization is built on Protocol Buffers<br/>

Example

Node 1

type MyActor struct { count int } func (state *MyActor) Receive(context actor.Context) { switch context.Message().(type) { case *messages.Response: state.count++ fmt.Println(state.count) } } func main() { remote.Start("localhost:8090") context := actor.EmptyRootContext props := actor.PropsFromProducer(func() actor.Actor { return &MyActor{} }) pid, _ := context.Spawn(props) message := &messages.Echo{Message: "hej", Sender: pid} // this is to spawn remote actor we want to communicate with spawnResponse, _ := remote.SpawnNamed("localhost:8091", "myactor", "hello", time.Second) // get spawned PID spawnedPID := spawnResponse.Pid for i := 0; i < 10; i++ { context.Send(spawnedPID, message) } console.ReadLine() }

Node 2

type MyActor struct{} func (*MyActor) Receive(context actor.Context) { switch msg := context.Message().(type) { case *messages.Echo: context.Send(msg.Sender, &messages.Response{ SomeValue: "result", }) } } func main() { remote.Start("localhost:8091") // register a name for our local actor so that it can be spawned remotely remote.Register("hello", actor.PropsFromProducer(func() actor.Actor { return &MyActor{} })) console.ReadLine() }

Message Contracts

syntax = "proto3"; package messages; import "actor.proto"; // we need to import actor.proto, so our messages can include PID's // this is the message the actor on node 1 will send to the remote actor on node 2 message Echo { actor.PID Sender = 1; // this is the PID the remote actor should reply to string Message = 2; } // this is the message the remote actor should reply with message Response { string SomeValue = 1; }

Notice: always use "gogoslick_out" instead of "go_out" when generating proto code. "gogoslick_out" will create type names which will be used during serialization.

For more examples, see the example folder in this repository.

Contributors

<a href="https://github.com/asynkron/protoactor-go/graphs/contributors"> <img src="https://contributors-img.web.app/image?repo=asynkron/protoactor-go" /> </a>

Made with contributors-img.

编辑推荐精选

扣子-AI办公

扣子-AI办公

职场AI,就用扣子

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

堆友

堆友

多风格AI绘画神器

堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。

图像生成AI工具AI反应堆AI工具箱AI绘画GOAI艺术字堆友相机AI图像热门
码上飞

码上飞

零代码AI应用开发平台

零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

酷表ChatExcel

酷表ChatExcel

大模型驱动的Excel数据处理工具

基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。

AI工具酷表ChatExcelAI智能客服AI营销产品使用教程
TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

AI工具TraeAI IDE协作生产力转型热门
AIWritePaper论文写作

AIWritePaper论文写作

AI论文写作指导平台

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

AI辅助写作AI工具AI论文工具论文写作智能生成大纲数据安全AI助手热门
博思AIPPT

博思AIPPT

AI一键生成PPT,就用博思AIPPT!

博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。

AI办公办公工具AI工具博思AIPPTAI生成PPT智能排版海量精品模板AI创作热门
潮际好麦

潮际好麦

AI赋能电商视觉革命,一站式智能商拍平台

潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。

下拉加载更多