pushpin

pushpin

反向代理服务器简化实时Web通信实现

Pushpin是一个反向代理服务器,专注于简化WebSocket、HTTP流式传输和长轮询服务的实现。它通过透明代理方式与后端应用集成,支持多种编程语言和框架。Pushpin提供高性能、可扩展的实时推送功能,适用于构建实时Web应用和API。该项目支持水平扩展,单个实例可处理百万级并发连接,为开发者提供了灵活的实时通信解决方案。

Pushpin反向代理实时推送WebSocketHTTP流Github开源项目

Pushpin

Website: https://pushpin.org/
Forum: https://community.fastly.com/c/pushpin/12

Pushpin is a reverse proxy server written in Rust & C++ that makes it easy to implement WebSocket, HTTP streaming, and HTTP long-polling services. The project is unique among realtime push solutions in that it is designed to address the needs of API creators. Pushpin is transparent to clients and integrates easily into an API stack.

How it works

Pushpin is placed in the network path between the backend and any clients:

<p align="center"> <img src="https://pushpin.org/image/pushpin-abstract.png" alt="pushpin-abstract"/> </p>

Pushpin communicates with backend web applications using regular, short-lived HTTP requests. This allows backend applications to be written in any language and use any webserver. There are two main integration points:

  1. The backend must handle proxied requests. For HTTP, each incoming request is proxied to the backend. For WebSockets, the activity of each connection is translated into a series of HTTP requests<sup>1</sup> sent to the backend. Pushpin's behavior is determined by how the backend responds to these requests.
  2. The backend must tell Pushpin to push data. Regardless of how clients are connected, data may be pushed to them by making an HTTP POST request to Pushpin's private control API (http://localhost:5561/publish/ by default). Pushpin will inject this data into any client connections as necessary.

To assist with integration, there are libraries for many backend languages and frameworks. Pushpin has no libraries on the client side because it is transparent to clients.

Example

To create an HTTP streaming connection, respond to a proxied request with special headers Grip-Hold and Grip-Channel<sup>2</sup>:

HTTP/1.1 200 OK Content-Type: text/plain Content-Length: 22 Grip-Hold: stream Grip-Channel: test welcome to the stream

When Pushpin receives the above response from the backend, it will process it and send an initial response to the client that instead looks like this:

HTTP/1.1 200 OK Content-Type: text/plain Transfer-Encoding: chunked Connection: Transfer-Encoding welcome to the stream

Pushpin eats the special headers and switches to chunked encoding (notice there's no Content-Length). The request between Pushpin and the backend is now complete, but the request between the client and Pushpin remains held open. The request is subscribed to a channel called test.

Data can then be pushed to the client by publishing data on the test channel:

curl -d '{ "items": [ { "channel": "test", "formats": { "http-stream": \ { "content": "hello there\n" } } } ] }' \ http://localhost:5561/publish

The client would then see the line "hello there" appended to the response stream. Ta-da, transparent realtime push!

For more details, see the HTTP streaming section of the documentation. Pushpin also supports HTTP long-polling and WebSockets.

Example using a library

Using a library on the backend makes integration even easier. Here's another HTTP streaming example, similar to the one shown above, except using Pushpin's Django library. Please note that Pushpin is not Python/Django-specific and there are backend libraries for other languages/frameworks, too.

The Django library requires configuration in settings.py:

MIDDLEWARE_CLASSES = ( 'django_grip.GripMiddleware', ... ) GRIP_PROXIES = [{'control_uri': 'http://localhost:5561'}]

Here's a simple view:

from django.http import HttpResponse from django_grip import set_hold_stream def myendpoint(request): if request.method == 'GET': # subscribe every incoming request to a channel in stream mode set_hold_stream(request, 'test') return HttpResponse('welcome to the stream\n', content_type='text/plain') ...

What happens here is the set_hold_stream() method flags the request as needing to turn into a stream, bound to channel test. The middleware will see this and add the necessary Grip-Hold and Grip-Channel headers to the response.

Publishing data is easy:

from gripcontrol import HttpStreamFormat from django_grip import publish publish('test', HttpStreamFormat('hello there\n'))

Example using WebSockets

Pushpin supports WebSockets by converting connection activity/messages into HTTP requests and sending them to the backend. For this example, we'll use Pushpin's Express library. As before, please note that Pushpin is not Node/Express-specific and there are backend libraries for other languages/frameworks, too.

The Express library requires configuration and setting up a middleware handler:

const express = require('express'); const { ServeGrip } = require('@fanoutio/serve-grip'); var app = express(); // Instantiate the middleware and register it with Express const serveGrip = new ServeGrip({ grip: { 'control_uri': 'http://localhost:5561', 'key': 'changeme' } }); app.use(serveGrip); // Instantiate the publisher to use from your code to publish messages const publisher = serveGrip.getPublisher(); app.get('/hello', (req, res) => { res.send('hello world\n'); });

With that structure in place, here's an example of a WebSocket endpoint:

const { WebSocketMessageFormat } = require( '@fanoutio/grip' ); app.post('/websocket', async (req, res) => { const { wsContext } = req.grip; // If this is a new connection, accept it and subscribe it to a channel if (wsContext.isOpening()) { wsContext.accept(); wsContext.subscribe('all'); } while (wsContext.canRecv()) { var message = wsContext.recv(); // If return value is null then connection is closed if (message == null) { wsContext.close(); break; } // broadcast the message to everyone connected await publisher.publishFormats('all', WebSocketMessageFormat(message)); } res.end(); });

The above code binds all incoming connections to a channel called all. Any received messages are published out to all connected clients.

What's particularly noteworthy is that the above endpoint is stateless. The app doesn't keep track of connections, and the handler code only runs whenever messages arrive. Restarting the app won't disconnect clients.

The while loop is deceptive. It looks like it's looping for the lifetime of the WebSocket connection, but what it's really doing is looping through a batch of WebSocket messages that was just received via HTTP. Often this will be one message, and so the loop performs one iteration and then exits. Similarly, the wsContext object only exists for the duration of the handler invocation, rather than for the lifetime of the connection as you might expect. It may look like socket code, but it's all an illusion. :tophat:

For details on the underlying protocol conversion, see the WebSocket-Over-HTTP Protocol spec.

Example without a webserver

Pushpin can also connect to backend servers via ZeroMQ instead of HTTP. This may be preferred for writing lower-level services where a real webserver isn't needed. The messages exchanged over the ZeroMQ connection contain the same information as HTTP, encoded as TNetStrings.

To use a ZeroMQ backend, first make sure there's an appropriate route in Pushpin's routes file:

* zhttpreq/tcp://127.0.0.1:10000

The above line tells Pushpin to bind a REQ-compatible socket on port 10000 that handlers can connect to.

Activating an HTTP stream is as easy as responding on a REP socket:

import zmq import tnetstring zmq_context = zmq.Context() sock = zmq_context.socket(zmq.REP) sock.connect('tcp://127.0.0.1:10000') while True: req = tnetstring.loads(sock.recv()[1:]) resp = { 'id': req['id'], 'code': 200, 'reason': 'OK', 'headers': [ ['Grip-Hold', 'stream'], ['Grip-Channel', 'test'], ['Content-Type', 'text/plain'] ], 'body': 'welcome to the stream\n' } sock.send('T' + tnetstring.dumps(resp))

Why another realtime solution?

Pushpin is an ambitious project with two primary goals:

  • Make realtime API development easier. There are many other solutions out there that are excellent for building realtime apps, but few are useful within the context of APIs. For example, you can't use Socket.io to build Twitter's streaming API. A new kind of project is needed in this case.
  • Make realtime push behavior delegable. The reason there isn't a realtime push CDN yet is because the standards and practices necessary for delegating to a third party in a transparent way are not yet established. Pushpin is more than just another realtime push solution; it represents the next logical step in the evolution of realtime web architectures.

To really understand Pushpin, you need to think of it as more like a gateway than a message queue. Pushpin does not persist data and it is agnostic to your application's data model. Your backend provides the mapping to whatever that data model is. Tools like Kafka and RabbitMQ are complementary. Pushpin is also agnostic to your API definition. Clients don't necessarily subscribe to "channels" or receive "messages". Clients make HTTP requests or send WebSocket frames, and your backend decides the meaning of those inputs. Pushpin could perhaps be awkwardly described as "a proxy server that enables web services to delegate the handling of realtime push primitives".

On a practical level, there are many benefits to Pushpin that you don't see anywhere else:

  • The proxy design allows Pushpin to fit nicely within an API stack. This means it can inherit other facilities from your REST API, such as authentication, logging, throttling, etc. It can be combined with an API management system.
  • As your API scales, a multi-tiered architecture will become inevitable. With Pushpin you can easily do this from the start.
  • It works well with microservices. Each microservice can have its own Pushpin instance. No central bus needed.
  • Hot reload. Restarting the backend doesn't disconnect clients.
  • In the case of WebSocket messages being proxied out as HTTP requests, the messages may be handled statelessly by the backend. Messages from a single connection can even be load balanced across a set of backend instances.

Install

Check out the the Install guide, which covers how to install and run. There are packages available for Linux (Debian, Ubuntu, CentOS, Red Hat), Mac (Homebrew), or you can build from source.

By default, Pushpin listens on port 7999 and requests are handled by its internal test handler. You can confirm the server is working by browsing to http://localhost:7999/. Next, you should modify the routes config file to route requests to your backend webserver. See Configuration.

Scalability

Pushpin is horizontally scalable. Instances don’t talk to each other, and sticky routing is not needed. Backends must publish data to all instances to ensure clients connected to any instance will receive the data. Most of the backend libraries support configuring more than one Pushpin instance, so that a single publish call will send data to multiple instances at once.

Optionally, ZeroMQ PUB/SUB can be used to send data to Pushpin instead of using HTTP POST. When this method is used, subscription information is forwarded to each publisher, such that data will only be published to instances that have listeners.

As for vertical scalability, Pushpin has been tested with up to 1 million concurrent connections running on a single DigitalOcean droplet with 8 CPU cores. In practice, you may want to plan for fewer connections per instance, depending on your throughput. The new connection accept rate is about 800/sec (though this also depends on the speed of your backend), and the message throughput is about 8,000/sec. The important thing is that Pushpin is horizontally scalable which is effectively limitless.

What does the name mean?

Pushpin means to "pin" connections open for "pushing".

License

Pushpin is offered under the Apache License, Version 2.0. See the LICENSE file.

Footnotes

<a name="proxy-modes">1</a>: Pushpin can communicate WebSocket activity to the backend using either HTTP or WebSockets. Conversion to HTTP is generally recommended as it makes the backend easier to reason about.

<a name="grip">2</a>: GRIP (Generic Realtime Intermediary Protocol) is the name of Pushpin's backend protocol. More about that here.

编辑推荐精选

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工具使用教程AI营销产品酷表ChatExcelAI智能客服
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。

热门AI工具生产力协作转型TraeAI IDE
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。

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

热门AI工具AI办公办公工具智能排版AI生成PPT博思AIPPT海量精品模板AI创作
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。

iTerms

iTerms

企业专属的AI法律顾问

iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。

SimilarWeb流量提升

SimilarWeb流量提升

稳定高效的流量提升解决方案,助力品牌曝光

稳定高效的流量提升解决方案,助力品牌曝光

Sora2视频免费生成

Sora2视频免费生成

最新版Sora2模型免费使用,一键生成无水印视频

最新版Sora2模型免费使用,一键生成无水印视频

Transly

Transly

实时语音翻译/同声传译工具

Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。

下拉加载更多