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Happy Path Programming

#83 Rust Developer Retreat & Structured Concurrency

Aug 21, 2023
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.
58:12

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Quick takeaways

  • 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.

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