2021-04-14
1135
#vanilla javascript
Paul Cowan
42536
Apr 14, 2021 ⋅ 4 min read

JavaScript generators: The superior async/await

Paul Cowan Contract software developer.

Recent posts:

react toastify

React-Toastify (2025 update): Setup, styling & real-world use cases

Learn how to use React-Toastify in 2025, from setup to styling and advanced use cases like API notifications, async toasts, and React-Toastify 11 updates.

Chimezie Innocent
Apr 18, 2025 ⋅ 18 min read
5 Best Open Source Tools For Cross-Browser CSS Testing

5 best open source tools for cross-browser CSS testing

Discover open source tools for cross-browser CSS testing like Playwright and BrowserStack to catch rendering errors, inconsistent styling, and more.

Peter Aideloje
Apr 18, 2025 ⋅ 11 min read
react suspense data fetching

How to handle data fetching with React Suspense

With the introduction of React Suspense, handling asynchronous operations like data fetching has become more efficient and declarative.

Ovie Okeh
Apr 18, 2025 ⋅ 10 min read
Use TypeScript Instead Of Python For ETL Pipelines

Use TypeScript instead of Python for ETL pipelines

Build a TypeScript ETL pipeline that extracts, transforms, and loads data using Prisma, node-cron, and modern async/await practices.

Muhammed Ali
Apr 17, 2025 ⋅ 6 min read
View all posts

6 Replies to "JavaScript generators: The superior async/await"

  1. I think you are misunderstanding the differences between promises and yield. Just about all of your examples are simpler with async versions and the error handling is far easier than with yield. Especially when nested. You also seem to be confusing asynchronously I/O with yielding during iteration… They are vastly different use cases and the last thing you want to do for asynchronous I/O is yield back to the caller.

  2. I’m not sure if author knows what he is writing about. About sample about stopping websocket is not good idea cause what will happen when we stop execution of generator – > websocket got an issue – > we resumes generator – > error occurs, i think writing this code in async await manner will be much more simple in case of error handling

  3. 1. I think you are misunderstanding the differences between promises and yield. Just about all of your examples are simpler with async versions and the error handling is far easier than with yield.
    2. Especially when nested.
    3. You also seem to be confusing asynchronously I/O with yielding during iteration…
    4. They are vastly different use cases and the last thing you want to do for asynchronous I/O is yield back to the caller.

    This is 1 opinion followed by 3 assertions. Do you have evidence for any of these claims?

  4. That last example doesn’t really show any benefit over the async await experience. Also I’m wary of anything in javascript that uses “process” semantics. Under the hood JS engines handle a single function call at a time so suggesting otherwise seems disingenuous. Unless the idea is that multiprocess patterns are just inherently more readable? That’s even more dubious.

    Here’s an async/await equivalent to your flakeyconnection example. It’s written fairly quickly but it should work. Whether or not one is more confusing than the other is a matter of debate, but a point in favor of the async await example is that it introduces no new libraries or concepts other than the standard:

    const slep = (ms: number) => {
    return new Promise((resolve) => setTimeout(resolve, ms));
    }
    const someApiCall = async () => {
    throw new Error(“oops”);
    }
    const flakey= async () => {
    let tries = 5;
    let result = undefined;
    while (tries > 0) {
    try {
    const r = await someApiCall();
    } catch (e) {
    }
    tries–;
    await slep(1000);
    }

    if(!result) {
    // do something, probably throw error
    }

    return result;
    }

    Another benefit of the async/await example is that it’s exactly the same pattern as if you had a flakey function that was not async.

  5. Ah actually my previous comment was in error. Your example was for a timeout, not for a number of re-tries.

    In that case the promise version would be slightly altered:

    const timeout = (secs:number) => {
    return new Promise((resolve, reject) => {
    setTimeout(() => reject(“timeout exceeded”), secs);
    });
    }

    const sleep = (secs:number) => {
    return new Promise((resolve, reject) => {
    setTimeout(resolve, secs);
    });
    }
    const someApiCall = async () => {
    throw new Error(“oops”);
    }
    const flakey = async () => {
    while (true) {
    try {
    return await someApiCall();
    } catch (e) {
    }
    await sleep(1000);
    }
    }

    const main = () => {
    try {
    const result = Promise.race([flakey(), timeout(500)]);
    } catch(e) {
    // time out exceeded.
    }
    }

    Still more readable than the generator version. Especially the Promise.race(…) makes it immediately obvious that this code is dealing with “timeouts”. Whereas in the generator version, we have to read through the whole setup to understand fully what’s going on. Which, honestly is why I missed the point of your example in the first place. Granted, that is just me being the lowest common denominator 😀

Leave a Reply