At the Rust Developer Retreat, the hosts discuss their projects and experiences with Rust. They also explore structured concurrency, anonymous types in Python and Rust, the benefits of small scopes in programming, and the Tokyo scheduler. They highlight the importance of higher-level APIs for structured concurrency and the advantages of using them in Rust.
Structured concurrency allows for cooperative multitasking and effective error management in concurrent code.
Tokio, a Rust library, provides structured concurrency capabilities for managing concurrent tasks easily.
Deep dives
Structured Concurrency and Cooperative Multitasking
Structured concurrency is a programming paradigm that focuses on managing concurrent tasks in a structured and predictable way. It allows for cooperative multitasking, where tasks are executed based on specific scopes and can be canceled or managed for errors more effectively compared to traditional preemptive multitasking. The paradigm emphasizes the use of scoped objects, often referred to as nurseries or scopes, to manage concurrent tasks. These nurseries provide the ability to race tasks against each other using a select function, which cancels all but the winning task, or join tasks together to collect their results. Cooperative concurrency enables proper resource cleanup and error handling, making it easier to write reliable and maintainable concurrent code. This approach is implemented in various programming languages, including Rust, Python, and Kotlin.
Tokyo's Structured Concurrency and Easy Racer
Tokyo is a Rust library that provides structured concurrency capabilities, allowing developers to manage concurrent tasks easily. It offers features like select and join to handle task coordination and provide proper resource cleanup. Easy Racer, a Rust project exploring structured concurrency, showcases the use of Tokyo for different scenarios. It demonstrates how the select function can be used to race tasks against each other, canceling the losing tasks and returning the result of the winner. Additionally, Easy Racer highlights the ability of Tokyo to handle resource cleanup and cancellation automatically, ensuring reliable and efficient concurrent code execution.
Comparison with Other Languages
When comparing structured concurrency across different languages, such as Rust, Python, and Kotlin, several common patterns emerge. The concept of a scope or nursery is fundamental in managing concurrent tasks. These scopes allow for the composition of tasks, cancellation, and coordinated execution. The usage of select or race functions helps determine the winning task among a group, while join or collect functions aggregate results or errors. Rust's lifetime system and resource safety play a crucial role in implementing structured concurrency correctly. Python's asyncio library provides task groups and exception groups for improved cancellation and error handling. Kotlin uses coroutines for cooperative multitasking and structured concurrency, allowing for cancellation and error propagation. Despite slight variations in syntax and library design, the overall principles of structured concurrency remain consistent across these languages.
Higher-Level APIs and Future Directions
One notable aspect in structured concurrency is the availability of higher-level APIs that simplify concurrent programming. For example, some languages offer functions like collect all successes par, which conveniently collects only the successful results of a group of tasks, simplifying error handling. While exploring structured concurrency, it's beneficial to leverage these higher-level APIs to improve code readability and maintainability. Additionally, future developments may focus on addressing challenges and limitations related to structured concurrency, such as nested scoping and the incorporation of cancellation and error handling mechanisms into language cores. As structured concurrency gains popularity, it is expected to evolve and become more prevalent in future programming languages and frameworks.
At the Rust Developer Retreat we explored Structured Concurrency with Tokio. With the attendees we chat about our projects and things learned, liked, and disliked about Rust. Then dive into Structured Concurrency generally and specific implementations.