Zig HTTP Server

Open-source Zig projects categorized as HTTP Server

Zig HTTP Server Projects

  • http.zig

    An HTTP/1.1 server for zig

  • Project mention: Epoll: The API that powers the modern internet (2022) | news.ycombinator.com | 2024-01-11

    I have a somewhat popular HTTP server library for Zig [1]. It started off as a thread-per-connection (with an optional thread pool), but when it became apparent that async wasn't going to be added back into the language any time soon, I switched to using epoll/kqueue.

    Both APIs allow you to associate arbitrary data (void ) with the event that you're registering. So when you're notified of the event, you can access this data. In my case, it's a big Conn struct. It contains things like the # of requests on this connection (to enforce a configured max request per connection), a timestamp where it should timeout if there's no activity. The Conn is part of an intrusive linked list, so it has a next: Conn and prev: *Conn. But, what you're probably most curious about, is that it has a Request.State. This has a static buffer ([]u8) that can grow as needed to hold all the received data up until that point (or if we're writing the data, then the buffered data that we have to write). It's important to have a max # of connections and a max request size so you can enforce an upper limit on the maximum memory the library might use. It acts as a state machine to track up to what point it's parsed the request. (since you don't want to have to re-parse the entire request as more bytes trickle in).

    It's all half-baked. I can do receiving/sending asynchronously, but the application handler is called synchronously, and if that, for example, calls PG, that's probably also synchronous (since there's no async PG library in Zig). Makes me feel that any modern language needs a cohensive (as in standard library, or de facto standard) concurrency story.

    [1] https://github.com/karlseguin/http.zig

  • apple_pie

    Basic HTTP server implementation in Zig

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

Project Stars
1 http.zig 342
2 apple_pie 161

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com