| Async iterables aren't necessarily a great solution either because of the exact same promise and stack switching overhead - it can be huge compared to sync iterables. If you're dealing with small objects at the production side, like individual tag names, attributes, bindings, etc. during SSR., the natural thing to do is to just write() each string. But then you see that performance is terrible compared to sync iterables, and you face a choice: 1. Buffer to produce larger chunks and less stack switching. This is the exact same thing you need to do with Streams. or
2. Use sync iterables and forgo being able to support async components.
The article proposes sync streams to get around this some, but the problem is that in any traversal of data where some of the data might trigger an async operation, you don't necessarily know ahead of time if you need a sync or async stream or not. It's when you hit an async component that you need it. What you really want is a way for only the data that needs it to be async.We faced this problem in Lit-SSR and our solution was to move to sync iterables that can contain thunks. If the producer needs to do something async it sends a thunk, and if the consumer receives a thunk it must call and await the thunk before getting the next value. If the consumer doesn't even support async values (like in a sync renderToString() context) then it can throw if it receives one. This produced a 12-18x speedup in SSR benchmarks over components extracted from a real-world website. I don't think a Streams API could adopt such a fragile contract (ie, you call next() too soon it will break), but having some kind of way where a consumer can pull as many values as possible in one microtask and then await only if an async value is encountered would be really valuable, IMO. Something like `write()` and `writeAsync()`. The sad thing here is that generators are really the right shape for a lot of these streaming APIs that work over tree-like data, but generators are far too slow. |
Also I'm curious why you say that generators are far too slow. Were you using async generators perhaps? Here's what I cooked up using sync generators: https://github.com/bablr-lang/stream-iterator/blob/trunk/lib...
This is the magic bit: