I.e. There is this long tail of UI you need to make for every web project and nobody uses it 99.999% of the time.
Client frameworks 1. Maybe that's just a human thing.Rust, C#, and Go also seem to fit the bill, according to these benchmarks. But why is it so good at this type of task? } async fn current_temperature ()-> impl Responder {web:: Json (Measurement {temperature: 42.3})} Powerful Extractors Actix comes with a powerful extractor system that extracts data from the incoming HTTP request and passes it to your view functions. I'd love to see some examples of a CRUD based API built on top of h2o. Perhaps we would have prioritized it higher in the past had we known.
The multi-query test is measured with consistent concurrency and varies the number of queries executed per HTTP request.PS: As a side note, I do not like golang, my focus has been on python and now rust, but I am very impressed by both the plaintext and the DB test!If you want a measure of plain request/response I’d use the JSON benchmarks as the baseline.That explains why java frameworks are doing so well but raises questions about pypy!EDIT: Looking closer, tornado is faster running pypy.Are they all running with SSL? For more information, read the introduction, motivation, and latest environment details. Which is the fastest? Though I've seen odd things locally like 7.1 being significantly slower than 7.0 when doing local AB tests.There is a lot of effort being spent measuring what is very rarely a performance bottleneck in web applications.Check out vertx on the multiple query benchmark - it is almost twice as fast as the next entry. Is there something inherent to Rust that could explain this? This project aims to be a load benchmarking suite, no more, no less. But in brief:It looks like the bottleneck here is the database driver (or possibly ORM when used). If you need something really fast here or there just fork off the request in Nginx or compile something in Rust or C and extend it into Ruby (or whatever). Rust has a mature HTTP stack and various frameworks enable you to build APIs and backend services quickly. Press question mark to learn the rest of the keyboard shortcuts While increasingly more databases drivers become available, ORMs and connections to external services (like search or worker queues) are still scarce. Tests should stick to the requirements [1], which are designed to be permissive but sufficiently clear on the expected work load of each test type. Is this the fault of Rust not having good db clients right now, or does tokio struggle balancing between multiple tasks?an additional question is why we are beaten by Java frameworks in JSON serialization.rust doesnt have good async db story, that is it. Ships only a single executable file. Only 8.6% performance, and actually some errors too.The latency figures of plaintext benchmarks aren't that great either all across the board, I think that highlights more of a shortcoming in the test, but still would be nice to have rust do better on that side too. For example at [1] are stats for Grizzly while measuring the "json" test type.I will create an issue at the project's GitHub repo to begin a conversation about which stats to render.
Comparison 1. Also, is the difference between 'Single Query' and 'Multiple Queries' concurrency? Even simple ports from c/c++ to rust invoke awe and enthusiasm, something I don't see even in seasoned veterans of other languages. Blog posts 2. Use Git or checkout with SVN using the web URL. Web Framework Benchmarks In the following tests, we have measured the performance of several web application platforms, full-stack frameworks, and micro-frameworks (collectively, "frameworks"). The biggest project I've worked on had 50 requests per second, and that was an E-Commerce site that brought in 9 figures a year in revenue.I wonder how a Spring WebFlux [1] variant of the spring benchmark would perform in comparison. So you think Java and C are slow. Facebook didn't.Facebook wrote a new PHP VM and forked the language, so while it may not I agree with your general point, but there are many more companies and products that do require high performance beyond Google.I'm not familiar with this site and benchmarks, but from reading comments it seems to be respected.We use the word "framework" as a term of convenience covering the full spectrum from platforms, micro-frameworks, to full-stack frameworks. In my opinion C/C++ wont be good idea to use for most. e.g instead of writing your own HashMap you can just pull in Web stuff like these benchmarks is almost always I/O bound.