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Could you please elaborate on the last part? In a typical web API you don't want each request to spawn a thread, at most a green thread. (at least if you have

Could you please elaborate on the last part? In a typical web API you don't want each request to spawn a thread, at most a green thread. (at least if you have traffic that requires you to have more than one machine) As I understand the term "green threads", they are scheduled on standard "worker" threads. Synchronous functions will block green threads and this way block the underlying worker thread. If you have green threads, then you need asynchronous functions. (which in Go are just the default, so you spawn a goroutine - or more - per request, without thinking much about it) And I do actually disagree about the general purpose language part. I think that only really performance oriented languages (like Rust) should go the way of sync/async distinction. Because there's hardly any loss in async-everything otherwise.

hopia 7y ago
By threads I meant the corresponding runtime thread (not OS thread) on each platform. In Elixir they're called processes, in Haskell (green) threads. Both Haskell and Elixir web frameworks spawn a new thread for each web request they receive. Those threads on both platforms are very lightweight. You end up writing mostly synchronous code on both platforms for handlers that perform the work for those web requests. In some typical smaller API I may not have even a single piece of async code (async statement/expression) on either of those platforms, it's all synchronous in terms of code. It's all thanks to the execution running in its own thread. I don't understand what possible gain there would be to make everything implicitly asynchronous in this kind of scenario. Haskell already evaluates lazily, and on Elixir you can always just pass messages to other processes. In a typical web request you still need to fetch something from the DB, manipulate the data a bit and then return it. Synchronous code serving a single web request makes perfect sense to me, having everything asynchronous sounds like it'd just make everything more complicated for no reason at all. Addition: The point of lightweight runtime threads is exactly to allow concurrency without having to write asynchronous code.

hopia 7y ago

By threads I meant the corresponding runtime thread (not OS thread) on each platform. In Elixir they're called processes, in Haskell (green) threads. Both Haskell and Elixir web frameworks spawn a new thread for each web request they receive. Those threads on both platforms are very lightweight. You end up writing mostly synchronous code on both platforms for handlers that perform the work for those web requests. In some typical smaller API I may not have even a single piece of async code (async statement/expression) on either of those platforms, it's all synchronous in terms of code. It's all thanks to the execution running in its own thread. I don't understand what possible gain there would be to make everything implicitly asynchronous in this kind of scenario. Haskell already evaluates lazily, and on Elixir you can always just pass messages to other processes. In a typical web request you still need to fetch something from the DB, manipulate the data a bit and then return it. Synchronous code serving a single web request makes perfect sense to me, having everything asynchronous sounds like it'd just make everything more complicated for no reason at all. Addition: The point of lightweight runtime threads is exactly to allow concurrency without having to write asynchronous code.