Goland vs rust code#
If you think the code for a particular language can be improved out of the box to enhance concurrency performance, let me know.
Also, my knowledge of some languages is better than others hence I might miss some optimizations here and there. I’m just trying to provide some simple base comparisons for a simple use case. I’m pretty sure different use cases will have different results, and real-world web servers will have more complexity that requires communication between concurrent processes affecting performance. Use Warp, Rocket or actix-web for Rust Added a Rust actix-web sample to comparisonĭisclaimer: I’m not claiming this to be an accurate scientific method or the best benchmark for concurrency.Use a thread pool for Java multi-threaded version.The code implementations are probably not the best possible if you have a suggestion for improvement, please open and issue or PR on this repository. We won’t use any unnecessary I/O in the application. We will use promises, thread pools, and workers if required and if the language supports it. This will simulate a more realistic load, IMO. The web server will just serve one endpoint, and it will add a sleep of two seconds on every tenth request. We will use whatever the language provides to make concurrency performance as good as possible without over-complicating stuff. The complexity of the application will hence depend on language features and language complexity.
If the language supports both asynchronous and multi-threaded concurrency, we will try both and a combination of both and pick the best performer for the comparison. In this final post, we will compare the performance of all these implementations to see which language offers the best performance for a concurrent web server. I also kept the code similar across languages. I kept it as simple as possible without using external dependencies as much as possible. In the previous posts, I built a simple web server in Rust, Go, Node.js, Deno, and Java. Concurrency is a very broad term and can be achieved by multi-threading, parallelism, and/or asynchronous processing.įirst, I suggest you read the introduction post to understand this post better. Comparison and conclusion of benchmarksĬoncurrency is one of the most complex aspects of programming, and depending on your language of choice, the complexity can be anywhere from “that looks confusing” to “what black magic is this”.Ĭoncurrency is the ability where multiple tasks can be executed in overlapping time periods, in no specific order without affecting the final outcome.Concurrent web server in TypeScript with Deno.
Concurrent web server in JavaScript with NodeJS.
Goland vs rust series#
The chapters of this series are as below. I will be building and benchmarking a concurrent web server, inspired by the example from the Rust book, in popular languages like Rust, Go, JavaScript (NodeJS), TypeScript (Deno), Kotlin, and Java to compare concurrency and its performance between these languages/platforms. This is a multi-part series where I’ll discuss concurrency in modern programming languages.
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