Task<T> is also marked with #[must_use], so if you accidentally drop it without ever using it, the compiler warns you. That aligns closely with how futures typically work - dropping a future implies its cancellation. 13/29pic.twitter.com/dqAI9mWFUY
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In tokio, the executor is the tokio Runtime instance, so instead of ignoring errors it'd make sense for Runtime::block_on() to propagate panics from tasks. 24/29pic.twitter.com/EF6m8hvgWK
For now, suppose we had a very simple single-threaded runtime invoked by a function called run(), which propagates panics upwards. Don't think too much about it because I will tweet more about runtimes later... 25/29pic.twitter.com/qJaXb9eKbc
In unit tests, panic propagation does the right thing by default, and it doesn't crash the whole test suite so we get a nice report at the end. 26/29pic.twitter.com/cQoG6uwvyo
When run() propagates panics, it's up to the user to handle them however they wish. Panics can be ignored, logged, or simply left to continue unwinding. 27/29
In summary: 28/29 1. Tasks are cancelled when dropped. 2. Tasks can't get accidentally dropped because we get compiler warnings. 3. Errors in tasks cannot get silently lost because we get compiler errors. 4. Unwrapping errors is easy. 5. Panics are propagated into the executor.
That's all! This design isn't the "holy grail" of structured concurrency by any means, but it gets us very far with little effort and eliminates a lot of common pitfalls in async Rust. 29/29
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