This visual guide explains how async/await works in Rust, focusing on the underlying mechanics of the Future trait and the role of the runtime. It illustrates how futures are polled, how they represent various states (pending, ready, complete), and how the runtime drives their execution. The guide emphasizes the zero-cost abstraction nature of async/await, showing how it compiles down to state machines and function pointers without heap allocations or virtual dispatch. It also visualizes pinning, explaining how it prevents future-holding structs from being moved and disrupting the runtime's ability to poll them correctly. The overall goal is to provide a clearer understanding of how asynchronous programming is implemented in Rust without relying on complex terminology or deep dives into runtime internals.
Faasta is a self-hosted serverless platform written in Rust that allows you to run WebAssembly (WASM) functions compiled with the wasi-http ABI. It aims to provide a lightweight and efficient way to deploy serverless functions locally or on your own infrastructure. Faasta manages the lifecycle of these WASM modules, handling scaling and routing requests. It offers a simple CLI for managing functions and integrates with tools like HashiCorp Nomad for orchestration. Essentially, Faasta lets you run WASM as serverless functions similarly to cloud providers, but within your own controlled environment.
Hacker News users generally expressed interest in Faasta, praising its use of Rust and WASM/WASI for serverless functions. Several commenters appreciated its self-hosted nature and the potential cost savings compared to cloud providers. Some questioned the performance characteristics and cold start times, particularly in comparison to existing serverless offerings. Others pointed out the relative complexity compared to simpler container-based solutions, and the need for more robust observability features. A few commenters offered suggestions for improvements, including integrating with existing service meshes and providing examples for different use cases. The overall sentiment was positive, with many eager to see how the project evolves.
CubeCL is a Rust framework for writing GPU kernels that can be compiled for CUDA, ROCm, and WGPU targets. It aims to provide a safe, performant, and portable way to develop GPU-accelerated applications using a single codebase. The framework features a kernel language inspired by CUDA C++ and utilizes a custom compiler to generate target-specific code. This allows developers to leverage the power of GPUs without having to manage separate codebases for different platforms, simplifying development and improving maintainability. CubeCL focuses on supporting compute kernels, making it suitable for computationally intensive tasks.
Hacker News users discussed CubeCL's potential, portability across GPU backends, and its use of Rust. Some expressed excitement about using Rust for GPU programming and appreciated the project's ambition. Others questioned the performance implications of abstraction and the maturity of the project compared to established solutions. Several commenters inquired about specific features, such as support for sparse tensors and integrations with other machine learning frameworks. The maintainers actively participated, answering questions and clarifying the project's goals and current limitations, acknowledging the early stage of development. Overall, the discussion was positive and curious about the possibilities CubeCL offers.
Sapphire is a Rust-based package manager designed specifically for macOS. It aims to be faster and more reliable than existing solutions like Homebrew by leveraging Rust's performance and memory safety. Sapphire utilizes a declarative package specification format and features parallel downloads and builds for increased speed. It also emphasizes reproducible builds through stricter dependency management and sandboxing. While still in early development, Sapphire offers a promising alternative for managing packages on macOS with a focus on speed, safety, and reliability.
Hacker News users discussed Sapphire's potential, praising its speed and Rust implementation. Some expressed skepticism about the need for another package manager, citing Homebrew's established position. Others questioned Sapphire's approach to dependency resolution and its claimed performance advantages. A few commenters were interested in cross-platform compatibility and the possibility of using Sapphire with other languages. Security concerns regarding pre-built binaries were also raised, alongside discussions about package signing and verification. The overall sentiment leaned towards cautious optimism, with many users interested in seeing how Sapphire develops.
Verus is a Rust verification framework designed for low-level systems programming. It extends Rust with features like specifications (preconditions, postconditions, and invariants) and data-race freedom proofs, allowing developers to formally verify the correctness and safety of their code. Verus integrates with existing Rust tools and aims to be practical for real-world systems development, leveraging SMT solvers to automate the verification process. It specifically targets areas like cryptography, operating systems kernels, and concurrent data structures, where rigorous correctness is paramount.
Hacker News users discussed Verus's potential and limitations. Some expressed excitement about its ability to verify low-level code, seeing it as a valuable tool for critical systems. Others questioned its practicality, citing the complexity of verification and the potential for performance overhead. The discussion also touched on the trade-offs between verification and traditional testing, with some arguing that testing remains essential even with formal verification. Several comments highlighted the challenge of balancing the strictness of verification with the flexibility needed for practical systems programming. Finally, some users were curious about Verus's performance characteristics and its suitability for real-world projects.
This blog post explores elegant ways to implement state machines in Rust, leveraging the type system for safety and clarity. It demonstrates how enums, structs, and pattern matching can represent states and transitions, ensuring compile-time verification of valid state changes. The author showcases a pattern using nested enums to model hierarchical states and transitions, enhancing organization and reducing boilerplate. This approach allows for clear, concise, and type-safe state machine implementations, preventing invalid state transitions at compile time rather than runtime. The post concludes by suggesting further explorations involving generics and traits for more complex state machine scenarios.
Hacker News users generally praised the article's clear explanation of state machine patterns in Rust. Several commenters highlighted the elegance and type safety offered by the approach, particularly appreciating the compile-time enforcement of valid state transitions. Some discussed alternative approaches, including the use of enums and the typetag crate for dynamic dispatch. A few pointed out potential drawbacks, like increased boilerplate and complexity for simpler state machines. One commenter noted the evolution of Rust's type system since the article was written in 2016, suggesting newer features like const generics could further improve the implementation. Others shared similar implementations in other languages or linked to related resources on state machine design.
This blog post explores different strategies for memory allocation within WebAssembly modules, particularly focusing on the trade-offs between using the built-in malloc (provided by wasm-libc) and implementing a custom allocator. It highlights the performance overhead of wasm-libc's malloc due to its generality and thread safety features. The author presents a leaner, custom bump allocator as a more performant alternative for single-threaded scenarios, showcasing its implementation and integration with a linear memory. Finally, it discusses the option of delegating allocation to JavaScript and the potential complexities involved in managing memory across the WebAssembly/JavaScript boundary.
Hacker News users discussed the implications of WebAssembly's lack of built-in allocator, focusing on the challenges and opportunities it presents. Several commenters highlighted the performance benefits of using a custom allocator tailored to the specific application, rather than relying on a general-purpose one. The discussion touched on various allocation strategies, including linear allocation, arena allocation, and using allocators from the host environment. Some users expressed concern about the added complexity for developers, while others saw it as a positive feature allowing for greater control and optimization. The possibility of standardizing certain allocator interfaces within WebAssembly was also brought up, though acknowledged as a complex undertaking. Some commenters shared their experiences with custom allocators in WebAssembly, mentioning reduced binary sizes and improved performance as key advantages.
Feldera drastically reduced Rust compile times for a project with over a thousand crates from 30 minutes to 2 minutes by strategically leveraging sccache. They initially tried using a shared volume for the sccache directory but encountered performance issues. The solution involved setting up a dedicated, high-performance sccache server, accessed by developers via SSH, which dramatically improved cache hit rates and reduced compilation times. Additionally, they implemented careful dependency management, reducing unnecessary rebuilds by pinning specific crate versions in a lockfile and leveraging workspaces to manage the many inter-related crates effectively.
HN commenters generally praise the author's work in reducing Rust compile times, while also acknowledging that long compile times remain a significant issue for the language. Several point out that the demonstrated improvement is largely due to addressing a specific, unusual dependency issue (duplicated crates) rather than a fundamental compiler speedup. Some express hope that the author's insights, particularly around dependency management, will contribute to future Rust development. Others suggest additional strategies for improving compile times, such as using sccache and focusing on reducing dependencies in the first place. A few commenters mention the trade-off between compile time and runtime performance, suggesting that Rust's speed often justifies the longer compilation.
The cg_clif project has made significant progress in compiling Rust to C, achieving a 95.9% pass rate on the Rust test suite. This compiler leverages Cranelift as a backend and utilizes a custom ABI for passing Rust data structures. Notably, it's now functional on more unusual platforms like wasm32-wasi and thumbv6m-none-eabi (for embedded ARM devices). While performance isn't a primary focus currently, basic functionality and compatibility are progressing rapidly, demonstrating the potential for compiling Rust to a portable C representation.
Hacker News users discussed the impressive 95.9% test pass rate of the Rust-to-C compiler, particularly its ability to target unusual platforms like the Sega Saturn and Sony PlayStation. Some expressed skepticism about the practical applications, questioning the performance implications and debugging challenges of such a complex transpilation process. Others highlighted the potential benefits for code reuse and portability, enabling Rust code to run on legacy or resource-constrained systems. The project's novelty and ambition were generally praised, with several commenters expressing interest in the developer's approach and future developments. Some also debated the suitability of "compiler" versus "transpiler" to describe the project. There was also discussion around specific technical aspects, like memory management and the handling of Rust's borrow checker within the C output.
Rust enums can surprisingly be smaller than expected. While naively, one might assume an enum's size is determined by the largest variant plus a discriminant to track which variant is active, the compiler optimizes this. If an enum's largest variant contains data with internal padding, the discriminant can sometimes be stored within that padding, avoiding an increase in the overall size. This optimization applies even when using #[repr(C)] or #[repr(u8)], so long as the layout allows it. Essentially, the compiler cleverly utilizes existing unused space within variants to store the variant tag, minimizing the enum's memory footprint.
Hacker News users discussed the surprising optimization where Rust can reduce the size of an enum if its variants all have the same representation. Some commenters expressed admiration for this detail of the Rust compiler and its potential performance benefits. A few questioned the long-term stability of relying on this optimization, wondering if changes to the enum's variants could inadvertently increase its size in the future. Others delved into the specifics of how this optimization interacts with features like repr(C) and niche filling optimizations. One user linked to a relevant section of the Rust Reference, further illuminating the compiler's behavior. The discussion also touched upon the potential downsides, such as making the generated assembly more complex, and how using #[repr(u8)] might offer a more predictable and explicit way to control enum size.
mem-isolate is a Rust crate designed to execute potentially unsafe code within isolated memory compartments. It leverages Linux's memfd_create system call to create anonymous memory mappings, allowing developers to run untrusted code within these confined regions, limiting the potential damage from vulnerabilities or exploits. This sandboxing approach helps mitigate security risks by restricting access to the main process's memory, effectively preventing malicious code from affecting the wider system. The crate offers a simple API for setting up and managing these isolated execution environments, providing a more secure way to interact with external or potentially compromised code.
Hacker News users discussed the practicality and security implications of the mem-isolate crate. Several commenters expressed skepticism about its ability to truly isolate unsafe code, particularly in complex scenarios involving system calls and shared resources. Concerns were raised about the performance overhead and the potential for subtle bugs in the isolation mechanism itself. The discussion also touched on the challenges of securely managing memory in Rust and the trade-offs between safety and performance. Some users suggested alternative approaches, such as using WebAssembly or language-level sandboxing. Overall, the comments reflected a cautious optimism about the project but acknowledged the difficulty of achieving complete isolation in a practical and efficient manner.
Zxc is a Rust-based TLS proxy designed as a Burp Suite alternative, featuring a unique terminal-based UI built with tmux and Vim. It aims to provide a streamlined and efficient intercepting proxy experience within a familiar text-based environment, leveraging the power and customizability of Vim for editing HTTP requests and responses. Zxc intercepts and displays TLS traffic, allowing users to inspect and modify it directly within their terminal workflow. This approach prioritizes speed and a minimalist, keyboard-centric workflow for security professionals comfortable with tmux and Vim.
Hacker News users generally expressed interest in zxc, praising its novel approach to TLS interception and debugging. Several commenters appreciated the use of familiar tools like tmux and vim for the UI, finding it a refreshing alternative to more complex, dedicated tools like Burp Suite. Some raised concerns about performance and scalability compared to established solutions, while others questioned the practical benefits over existing, feature-rich alternatives. A few commenters expressed a desire for additional features like WebSocket support. Overall, the project was seen as an intriguing experiment with potential, though some skepticism remained regarding its real-world viability and competitiveness.
Ferron is a new web server built in Rust, designed for speed and memory safety. It leverages tokio and hyper, focusing on efficiency and avoiding unnecessary allocations. The project emphasizes performance and aims to be a robust and reliable foundation for web applications, though it is still in early development. Its core features include request routing, middleware support, and static file serving. Ferron aims to provide a solid alternative to existing web servers by capitalizing on Rust's performance characteristics and safety guarantees.
HN commenters generally express enthusiasm for Ferron, praising its performance and memory safety due to Rust. Several highlight the potential of integrating with existing Rust libraries and the benefits of its modular design. Some discuss the challenges of asynchronous programming in Rust and offer suggestions for improvements like connection pooling and HTTP/2 support. A few express skepticism about the project's maturity and the real-world performance benefits compared to established solutions, but overall, the sentiment is positive and curious about the project's future development. Some insightful comments compare Ferron to other Rust web frameworks like Actix and Axum, noting potential advantages in simplicity and performance.
This blog post explores upcasting in Rust using the Any trait. It demonstrates how to safely cast a trait object back to its original concrete type using Any::downcast_ref, highlighting that this is safe and efficient because it's only a type check, not a conversion. The author explains how this mechanism, combined with trait objects, facilitates runtime polymorphism while maintaining Rust's static type safety. The post concludes by suggesting that upcasting to Any, despite seemingly going against its intended direction, offers a practical solution for storing and retrieving different types within a homogenous collection, effectively simulating inheritance for operations like shared functionality invocation.
HN commenters largely discuss the complexity of Rust's Any trait and its upcasting mechanism. Several express that while powerful, it introduces significant cognitive overhead and can be difficult to grasp initially. The concept of fat pointers and vtables is mentioned as crucial to understanding Any's behavior. Some question the necessity of such complexity, suggesting simpler alternatives or improvements to the learning resources. One commenter contrasts Rust's approach with Go's interfaces, highlighting the trade-offs between performance and ease of use. The overall sentiment seems to be a mix of appreciation for the power of Any and a desire for more accessible explanations and potentially simpler solutions where applicable. A suggestion is made that improvements to the compiler's error messages could significantly enhance the developer experience when working with these features.
Tauri is experimenting with integrating Verso, a new build system designed for speed and reproducibility. This integration aims to significantly reduce build times and improve the developer experience by leveraging Verso's efficient caching and parallel processing capabilities. The initial results are promising, showing substantial improvements over existing build tools, particularly for larger projects. While still experimental, this integration represents a potential major advancement for Tauri development, streamlining the build process and allowing developers to iterate more quickly.
Hacker News users generally expressed excitement about the potential of Tauri's Verso integration, praising its memory safety and performance improvements. Several commenters discussed the trade-offs between native performance and web development ease, with some suggesting Verso could offer a sweet spot. Concerns were raised about the experimental nature of the integration and the potential for instability. Some users questioned the value proposition of Verso compared to existing solutions or simply using Webview directly. Others requested clarification on specific aspects of the integration, such as sandboxed WASM modules and the communication bridge. A few comments highlighted the challenges of JavaScript's tooling ecosystem, while others anticipated Verso streamlining Tauri development.
Xee is a new XPath and XSLT engine written in Rust, focusing on performance, security, and WebAssembly compatibility. It aims to be a modern alternative to existing engines, offering a safe and efficient way to process XML and HTML in various environments, including browsers and servers. Leveraging Rust's ownership model and memory safety features, Xee minimizes vulnerabilities like use-after-free errors and buffer overflows. Its WebAssembly support enables client-side XML processing without relying on JavaScript, potentially improving performance and security for web applications. While still under active development, Xee already supports a substantial portion of the XPath 3.1 and XSLT 3.0 specifications, with plans to implement streaming transformations and other advanced features in the future.
HN commenters generally praise Xee's speed and the author's approach to error handling. Several highlight the impressive performance benchmarks compared to libxml2, with some noting the potential for Xee to become a valuable tool in performance-sensitive XML processing scenarios. Others appreciate the clean API design and Rust's memory safety advantages. A few discuss the niche nature of XPath/XSLT in modern development, while some express interest in using Xee for specific tasks like web scraping and configuration parsing. The Rust implementation also sparked discussions about language choices for performance-critical applications. Several users inquire about WASM support, indicating potential interest in browser-based applications.
The Arroyo blog post details a significant performance improvement in decoding columnar JSON data using the Rust-based arrow-rs library. By leveraging lazy decoding and SIMD intrinsics, they achieved a substantial speedup, particularly for nested data and lists, compared to existing methods like serde_json and even Python's pyarrow. This optimization focuses on performance-critical scenarios where large JSON datasets are processed, like data engineering and analytics. The improvement stems from strategically decoding only necessary data elements and employing efficient vectorized operations, minimizing overhead and maximizing CPU utilization. This approach promises faster data loading and processing for applications built on the Apache Arrow ecosystem.
Hacker News users discussed the performance benefits and trade-offs of using Apache Arrow for JSON decoding, as presented in the linked blog post. Several commenters pointed out that the benchmarks lacked real-world complexity and that deserialization often isn't the bottleneck in data processing pipelines. Some questioned the focus on columnar format for single JSON objects, suggesting its advantages are better realized with arrays of objects. Others highlighted the importance of SIMD and memory access patterns in achieving performance gains, while some suggested alternative libraries like simd-json for simpler use cases. A few commenters appreciated the detailed explanation and clear benchmarks provided in the blog post, while acknowledging the specific niche this optimization targets.
Retro Boy is a simple Game Boy emulator written in Rust and compiled to WebAssembly, allowing it to run directly in a web browser. It features a basic but functional graphical user interface and supports sound, offering a playable experience for a selection of ROMs. While not aiming for perfect accuracy or advanced features, it focuses on clean code and serves as a learning project showcasing Rust and WebAssembly for emulation.
Hacker News users generally praised the Retro Boy emulator for its clean Rust implementation and WebAssembly deployment. Several commenters appreciated the project's simplicity and educational value, seeing it as a good starting point for learning emulator development or Rust. Some discussed performance aspects of WebAssembly and the challenges of accurate emulation. A few users compared it favorably to other Game Boy emulators and highlighted the benefits of Rust's safety features for this type of project. Others pointed out the clever use of a single match statement in the CPU emulation code. The developer's engagement in the comments, answering questions and acknowledging feedback, was also positively received.
Crabtime brings Zig's comptime functionality to Rust, enabling evaluation of functions and expressions at compile time. It utilizes a procedural macro to transform annotated Rust code into a syntax tree that can be executed during compilation. This allows for computations, including string manipulation, type construction, and resource embedding, to be performed at compile time, leading to improved runtime performance and reduced binary size. Crabtime is still early in its development but aims to provide a powerful mechanism for compile-time metaprogramming in Rust.
HN commenters discuss crabtime, a library bringing Zig's comptime functionality to Rust. Several express excitement about the potential for metaprogramming and compile-time code generation, viewing it as a way to achieve greater performance and flexibility. Some raise concerns about the complexity and potential misuse of such powerful features, comparing it to template metaprogramming in C++. Others question the practical benefits and wonder if the added complexity is justified. The potential for compile times to increase significantly is also mentioned as a drawback. A few commenters suggest alternative approaches, like using build scripts or procedural macros, though the author clarifies that crabtime aims to offer something distinct. The overall sentiment seems to be cautious optimism, with many intrigued by the possibilities but also aware of the potential pitfalls.
The blog post "Zlib-rs is faster than C" demonstrates how the Rust zlib-rs crate, a wrapper around the C zlib library, can achieve significantly faster decompression speeds than directly using the C library. This surprising performance gain comes from leveraging Rust's zero-cost abstractions and more efficient memory management. Specifically, zlib-rs uses a custom allocator optimized for the specific memory usage patterns of zlib, minimizing allocations and deallocations, which constitute a significant performance bottleneck in the C version. This specialized allocator, combined with Rust's ownership system, leads to measurable speed improvements in various decompression scenarios. The post concludes that careful Rust wrappers can outperform even highly optimized C code by intelligently managing resources and eliminating overhead.
Hacker News commenters discuss potential reasons for the Rust zlib implementation's speed advantage, including compiler optimizations, different default settings (particularly compression level), and potential benchmark inaccuracies. Some express skepticism about the blog post's claims, emphasizing the maturity and optimization of the C zlib implementation. Others suggest potential areas of improvement in the benchmark itself, like exploring different compression levels and datasets. A few commenters also highlight the impressive nature of Rust's performance relative to C, even if the benchmark isn't perfect, and commend the blog post author for their work. Several commenters point to the use of miniz, a single-file C implementation of zlib, suggesting this may not be a truly representative comparison to zlib itself. Finally, some users provided updates with their own benchmark results attempting to reconcile the discrepancies.
The blog post details the author's experience porting Rust to the RockPro64 (RP2350) single-board computer. They successfully brought up a minimal Rust environment, including core libraries, allowing basic "Hello, world!" functionality and interaction with GPIO pins. The process involved building a custom cross-compilation toolchain based on a pre-built Debian image, navigating architectural differences like the lack of an MMU, and implementing necessary drivers. While challenging, this achievement lays the groundwork for more complex Rust development on the RP2350, potentially opening doors for embedded systems applications.
HN commenters generally express enthusiasm for Rust's increasing viability on embedded platforms, particularly the RP2040. Several users discuss the benefits of Rust's memory safety and performance in this context, comparing it favorably to C/C++. Some point out the challenges of working with Rust on resource-constrained devices, like managing memory allocation and dealing with abstractions that can add overhead. A few commenters also mention specific crates like rp-pico and embassy, highlighting their usefulness for embedded Rust development on the RP2040. There's also discussion around build times, tooling, and the learning curve associated with Rust, with some suggesting that the ecosystem is still maturing but rapidly improving. Finally, some users share their own experiences and projects using Rust on embedded systems.
This blog post details the author's process of creating a Checkers game using Rust and compiling it to WebAssembly (WASM) for play in a web browser. The author highlights the benefits of using Rust, such as performance and memory safety, and the relative ease of targeting WASM. They describe key implementation aspects, including game logic, board representation, and user interface interaction using the Yew framework. The post also covers setting up the Rust and WASM build environment, and optimizing the WASM module size for faster loading. The final result is a playable checkers game embedded directly in the webpage, demonstrating the practicality of Rust and WASM for web development.
HN commenters generally praised the clean and performant implementation of Checkers in Rust and WASM. Several lauded the clear code and the educational value of the project, finding it a good example of Rust and WASM usage. Some discussed performance considerations, including the choice of using a 1D array for the board representation, suggesting a 2D array might offer better readability despite potentially slightly reduced performance. A few comments touched on potential enhancements, like adding an AI opponent or allowing undo/redo functionality. There was also minor discussion around alternative approaches to game development with Rust/WASM and other languages.
ArkFlow is a high-performance stream processing engine written in Rust, designed for building and deploying real-time data pipelines. It emphasizes low latency and high throughput, utilizing asynchronous processing and a custom memory management system to minimize overhead. ArkFlow offers a flexible programming model with support for both stateless and stateful operations, allowing users to define complex processing logic using familiar Rust syntax. The framework also integrates seamlessly with popular data sources and sinks, simplifying integration with existing data infrastructure.
Hacker News users discussed ArkFlow's performance claims, questioning the benchmarks and the lack of comparison to existing Rust streaming engines like tokio-stream. Some expressed interest in the project but desired more context on its specific use cases and advantages. Concerns were raised about the crate's maturity and potential maintenance burden due to its complexity. Several commenters noted the apparent inspiration from Apache Flink, suggesting a comparison would be beneficial. Finally, the choice of using async for stream processing within ArkFlow generated some debate, with users pointing out potential performance implications.
AudioNimbus is a Rust implementation of Steam Audio, Valve's high-quality spatial audio SDK, offering a performant and easy-to-integrate solution for immersive 3D sound in games and other applications. It leverages Rust's safety and speed while providing bindings for various platforms and audio engines, including Unity and C/C++. This open-source project aims to make advanced spatial audio features like HRTF-based binaural rendering, sound occlusion, and reverberation more accessible to developers.
HN users generally praised AudioNimbus for its Rust implementation of Steam Audio, citing potential performance benefits and improved safety. Several expressed excitement about the prospect of easily integrating high-quality spatial audio into their projects, particularly for games. Some questioned the licensing implications compared to the original Steam Audio, and others raised concerns about potential performance bottlenecks and the current state of documentation. A few users also suggested integrating with other game engines like Bevy. The project's author actively engaged with commenters, addressing questions about licensing and future development plans.
Wokwi now offers a web-based simulator for developing and debugging embedded Rust programs. This online tool allows users to write, build, and run Rust code targeted for various microcontrollers, including the AVR ATmega328P (like the Arduino Uno) and RP2040 (Raspberry Pi Pico), directly in the browser. The simulator features peripherals like LEDs, buttons, serial output, and an integrated logic analyzer, enabling interactive hardware simulation without requiring physical hardware. Code can be compiled and flashed to the virtual microcontroller, and the simulator provides a debugging environment for stepping through code and inspecting variables. This simplifies the embedded Rust development process, making it more accessible for learning and experimentation.
HN commenters generally expressed enthusiasm for Wokwi's online embedded Rust simulator. Several praised its ease of use and accessibility, noting it lowers the barrier to entry for embedded development. Some highlighted the educational benefits, particularly for those new to Rust or embedded systems. A few pointed out the limitations of simulation compared to real hardware, but acknowledged the simulator's value for initial development and testing. The discussion also touched on potential improvements, including support for more microcontrollers and peripherals, as well as integration with other tools. Some users shared their positive experiences using Wokwi for specific projects, further reinforcing its practical usefulness.
The author benchmarks Rust's performance in text compression, specifically comparing it to C++ using the LZ4 and Zstd algorithms. They find that Rust, while generally performant, struggles to match C++'s speed in these specific scenarios, particularly when dealing with smaller input sizes. This performance gap is attributed to Rust's stricter memory safety checks and its difficulty in replicating certain C++ optimization techniques, such as pointer aliasing and specialized allocators. The author concludes that while Rust is a strong choice for many domains, its current limitations make it less suitable for high-performance text compression codecs where matching C++'s speed remains a challenge. They also highlight that improvements in Rust's tooling and compiler may narrow this gap in the future.
HN users generally disagreed with the premise that Rust is inadequate for text compression. Several pointed out that the performance issues highlighted in the article are likely due to implementation details and algorithmic choices rather than limitations of the language itself. One commenter suggested that the author's focus on matching C++ performance exactly might be misplaced, and optimizing for Rust's idioms could yield better results. Others highlighted successful compression projects written in Rust, like zstd, as evidence against the author's claim. The most compelling comments centered on the idea that while Rust's abstractions might add overhead, they also bring safety and maintainability benefits that can outweigh performance concerns in many contexts. Some commenters suggested specific areas for optimization, such as using SIMD instructions or more efficient data structures.
ParadeDB, a YC S23 startup building a distributed, relational, NewSQL database in Rust, is hiring a Rust Database Engineer. This role involves designing and implementing core database components like query processing, transaction management, and distributed consensus. Ideal candidates have experience building database systems, are proficient in Rust, and possess a strong understanding of distributed systems concepts. They will contribute significantly to the database's architecture and development, working closely with the founding team. The position is remote and offers competitive salary and equity.
HN commenters discuss ParadeDB's hiring post, expressing skepticism about the wisdom of choosing Rust for a database due to its complexity and potential performance overhead compared to C++. Some question the value proposition of yet another database, wondering what niche ParadeDB fills that isn't already addressed by existing solutions. Others suggest focusing on a specific problem domain rather than building a general-purpose database. There's also discussion about the startup's name and logo, with some finding them unmemorable or confusing. Finally, a few commenters offer practical advice on hiring, suggesting reaching out to university research groups or specialized job boards.
Polars, known for its fast DataFrame library, is developing Polars Cloud, a platform designed to seamlessly run Polars code anywhere. It aims to abstract away infrastructure complexities, enabling users to execute Polars workloads on various backends like their local machine, a cluster, or serverless environments without code changes. Polars Cloud will feature a unified API, intelligent query planning and optimization, and efficient data transfer. This will allow users to scale their data processing effortlessly, from laptops to massive datasets, all while leveraging Polars' performance advantages. The platform will also incorporate advanced features like data versioning and collaboration tools, fostering better teamwork and reproducibility.
Hacker News users generally expressed excitement about Polars Cloud, praising the project's ambition and the potential of combining Polars' performance with distributed computing. Several commenters highlighted the cleverness of leveraging existing cloud infrastructure like DuckDB and Apache Arrow. Some questioned the business model's viability, particularly regarding competition with established cloud providers and the potential for vendor lock-in. Others raised technical concerns about query planning across distributed systems and the challenges of handling large datasets efficiently. A few users discussed alternative approaches, such as using Dask or Spark with Polars. Overall, the sentiment was positive, with many eager to see how Polars Cloud evolves.
This project introduces lin-alg, a Rust library providing fundamental linear algebra structures and operations with a focus on performance. It offers core types like vectors and quaternions (with 2D, 3D, and 4D variants), alongside common operations such as addition, subtraction, scalar multiplication, dot and cross products, normalization, and quaternion-specific functionalities like rotations and spherical linear interpolation (slerp). The library aims to be simple, efficient, and dependency-free, suitable for graphics, game development, and other domains requiring linear algebra computations.
Hacker News users generally praised the Rust vector and quaternion library for its clear documentation, beginner-friendly approach, and focus on 2D and 3D graphics. Some questioned the practical application of quaternions in 2D, while others appreciated the inclusion for completeness and potential future use. The discussion touched on SIMD support (or lack thereof), with some users highlighting its importance for performance in graphical applications. There were also suggestions for additional features like dual quaternions and geometric algebra support, reflecting a desire for expanded functionality. Some compared the library favorably to existing solutions like glam and nalgebra, praising its simplicity and ease of understanding, particularly for learning purposes.
Shelgon is a Rust framework designed for creating interactive REPL (Read-Eval-Print Loop) shells. It offers a structured approach to building REPLs by providing features like command parsing, history management, autocompletion, and help text generation. Developers can define commands with associated functions, arguments, and descriptions, allowing for easy extensibility and a user-friendly experience. Shelgon aims to simplify the process of building robust and interactive command-line interfaces within Rust applications.
HN users generally praised Shelgon for its clean design and the potential usefulness of a framework for building REPLs in Rust. Several commenters expressed interest in using it for their own projects, highlighting the need for such a tool. One user specifically appreciated the use of async/await for asynchronous operations. Some discussion revolved around alternative approaches and existing REPL libraries in Rust, such as rustyline and repl_rs, with comparisons to Python's prompt_toolkit. The project's relative simplicity and focus were seen as positive attributes. A few users suggested minor improvements, like adding command history and tab completion, features the author confirmed were planned or already partially implemented. Overall, the reception was positive, with commenters recognizing the value Shelgon brings to the Rust ecosystem.
Summary of Comments ( 7 )
https://news.ycombinator.com/item?id=43789142
HN commenters largely praised the visual approach to explaining async Rust, finding it much more accessible than text-based explanations. Several appreciated the clear depiction of how futures are polled and the visualization of the state machine behind async operations. Some pointed out minor corrections or areas for improvement, such as clarifying the role of the executor or adding more detail on waking up tasks. A few users suggested alternative visualizations or frameworks for understanding async, including comparisons to JavaScript's Promises and generators. Overall, the comments reflect a positive reception to the resource as a valuable tool for learning a complex topic.
The Hacker News post titled "A Visual Journey Through Async Rust" (linking to a GitHub readme explaining async Rust concepts) generated several comments, which can be broadly categorized into praise for the visual approach, discussions on the complexity of async Rust, and comparisons with other languages/paradigms.
Several commenters praised the visual nature of the explanation, finding it helpful for understanding the concepts of async Rust, which are often considered challenging. One user stated that the visualizations made the concepts "click" for them in a way that textual explanations hadn't. Another appreciated how the visuals helped them understand the different states of futures and the role of the executor. The clear and concise nature of the diagrams was also a recurring point of positive feedback.
The inherent complexity of async Rust was also a topic of discussion. Some commenters acknowledged the difficulty of learning async Rust, even with helpful resources like the linked article. They pointed out that understanding the underlying mechanics, such as the interplay between futures, the runtime, and the
awaitkeyword, requires significant effort. Some also touched on the challenges of debugging async code.Comparisons with other languages and programming paradigms were also present. One commenter compared Rust's async model to JavaScript's Promises and async/await, noting the similarities and differences. Another mentioned the actor model and how it relates to async programming in Rust. Go's goroutines and channels were also brought up as a point of comparison, with commenters discussing the relative strengths and weaknesses of each approach. There was some discussion about how the choice of executor can impact performance and the trade-offs involved.
A few comments also focused on specific aspects of the article, such as the explanation of
Futurecombinators and the visualization of the state machine transitions. One commenter asked a clarifying question about a specific diagram, prompting a response from another user. This illustrates the interactive nature of the Hacker News discussion and how it can facilitate further learning and understanding. There's also a comment linking to a related blog post about "structured concurrency," providing further reading material for those interested in exploring the topic in more depth.Overall, the comments section reflected a positive reception of the visual approach taken by the article to explain async Rust. The discussions highlighted both the complexities involved in understanding this programming paradigm and the value of clear visual aids in making these concepts more accessible. The comments also provide a glimpse into the wider ecosystem of concurrent programming, comparing and contrasting Rust's approach with other languages and models.