Is context-async-hooks suitable for production use?

[boutell]

• This only affects the JavaScript OpenTelemetry library
• This may affect other libraries, but I would like to get opinions here first

Hello,

I'm wondering if context-async-hooks is considered suitable for production use. I see that it enables the automatic instrumentation of traces for mongodb and other libraries that don't receive the express "req" directly, which is absolutely amazing, but async_hooks is still marked "1 - experimental" in the node.js documentation (after several years, yes).

Thanks!

[boutell]

To be a little more helpful, I got this response on a related question posed on the nodejs repo:

nodejs/diagnostics#194 (comment)

It looks like AsyncLocalStorage is actually mostly declared stable, along with AsyncResource, but Async_Hooks itself is not and there's discussion of long-term removal, maybe, although that can't really be done without breaking at least the way AsyncLocalStorage gets imported.

Does AsyncResource provide everything that OpenTelemetry's family of tracers actually needs? I think it might, but I don't entirely understand what's depending on what.

[Flarna]

AsyncLocalStoreage is built on top of async hooks. From Otel point of view one works as good as the other.

The resons why the one is stable the the other is experimental is that async hooks API "leaks" node internal details. This results in an API surface which may change because of internal changes - so it would break the semver contract if moved to stable.

Also node.js domain module uses async hooks internally.

In short async_hooks are the base for stable Node.js APIs so they can't be removed completly. But they could be made internal to node.js.

AsyncResource is a different story and for a different use case. Otel uses AsyncLocalStore to propage transactional context. User libraries which do stuff that breaks this as of now (e.g. resource reuse/pooling,..) should use AsyncResource to avoid this breakage.

I think every APM tool for node.js - commercial or free - use AsyncHooks and/or AsyncLocalStorage since years. As millions applications in production use such tools the question regarding production readyness is most likely answered :o).

But to be clear: This "magic" functionality doesn't come for free. Using Otel and/or using AsyncHooks comes with CPU/Memory overhead (exact value depends on your app so please don't ask for numbers). Tracing is not for free.

Otel itself can work without AsyncLocalStorage/AsyncHooks. It's the users responsiblitly to pass the current span around in their app. Clearly non of the autoinstrumentations will be useable then but they are not mandatory.

[boutell]

Thanks! I appreciate that you don't have numbers on the overhead. I would be curious if you would consider it a major impact in the context of a web application. I assume if it was really ugly it would somewhat defeat the purpose of OpenTelemetry as it would mostly be measuring its own impact.

…

On Wed, Mar 2, 2022 at 4:59 PM Gerhard Stöbich ***@***.***> wrote: AsyncLocalStoreage is built on top of async hooks. From Otel point of view one works as good as the other. The resons why the one is stable the the other is experimental is that async hooks API "leaks" node internal details. This results in an API surface which may change because of internal changes - so it would break the semver contract if moved to stable. Also node.js domain module uses async hooks internally. In short async_hooks are the base for stable Node.js APIs so they can't be removed completly. But they could be made internal to node.js. AsyncResource is a different story and for a different use case. Otel uses AsyncLocalStore to propage transactional context. User libraries which do stuff that breaks this as of now (e.g. resource reuse/pooling,..) should use AsyncResource to avoid this breakage. I think every APM tool for node.js - commercial or free - use AsyncHooks and/or AsyncLocalStorage since years. As millions applications in production use such tools the question regarding production readyness is most likely answered :o). But to be clear: This "magic" functionality doesn't come for free. Using Otel and/or using AsyncHooks comes with CPU/Memory overhead (exact value depends on your app so please don't ask for numbers). Tracing is not for free. Otel itself can work without AsyncLocalStorage/AsyncHooks. It's the users responsiblitly to pass the current span around in their app. Clearly non of the autoinstrumentations will be useable then but they are not mandatory. — Reply to this email directly, view it on GitHub <#2812 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAAH27OQ6UEPAAZ6WQUGHDDU57QE5ANCNFSM5PYKLRFA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you authored the thread.Message ID: ***@***.***>

-- THOMAS BOUTELL | CHIEF TECHNOLOGY OFFICER APOSTROPHECMS | apostrophecms.com | he/him/his

[Qard]

In a promise-heavy application, it's not uncommon to see 20-30% cpu overhead when turning on async_hooks or AsyncLocalStorage. Possibly more in extreme cases. It's a lot less than the 200%+ it used to be, but still noticeable.

[boutell]

Ah, I see. Very important to know. I will definitely avoid bringing it into production code situations in non-optional ways then. Thanks for the advice. When just using the ***@***.***/api` module for Open Telemetry compatibility that's not an issue, correct? It's only an issue if the SDK is actually in play?

…

On Thu, Mar 3, 2022 at 2:46 AM Stephen Belanger ***@***.***> wrote: In a promise-heavy application, it's not uncommon to see 20-30% cpu overhead when turning on async_hooks or AsyncLocalStorage. Possibly more in extreme cases. It's a lot less than the 200%+ it used to be, but still noticeable. — Reply to this email directly, view it on GitHub <#2812 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAAH27IQ3B6IVPSTT45JVOLU6BU35ANCNFSM5PYKLRFA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you authored the thread.Message ID: ***@***.***>

-- THOMAS BOUTELL | CHIEF TECHNOLOGY OFFICER APOSTROPHECMS | apostrophecms.com | he/him/his

[dyladan]

Ah, I see. Very important to know. I will definitely avoid bringing it into production code situations in non-optional ways then. Thanks for the advice. When just using the @./api` module for Open Telemetry compatibility that's not an issue, correct? It's only an issue if the SDK is actually in play?
…
On Thu, Mar 3, 2022 at 2:46 AM Stephen Belanger @.> wrote: In a promise-heavy application, it's not uncommon to see 20-30% cpu overhead when turning on async_hooks or AsyncLocalStorage. Possibly more in extreme cases. It's a lot less than the 200%+ it used to be, but still noticeable. — Reply to this email directly, view it on GitHub <#2812 (comment)>, or unsubscribe <github.com/notifications/unsubscribe-auth/AAAH27IQ3B6IVPSTT45JVOLU6BU35ANCNFSM5PYKLRFA> . Triage notifications on the go with GitHub Mobile for iOS <apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you authored the thread.Message ID: @.***>
-- THOMAS BOUTELL | CHIEF TECHNOLOGY OFFICER APOSTROPHECMS | apostrophecms.com | he/him/his

The API on its own does not enable a context manager and therefore does not enable async_hooks or AsyncLocalStorage. You can also manually propagate context without enabling a context manager if you never register the SDK as a global instance, but then as @Flarna mentioned you will not be able to use any auto-instrumentations.

[boutell]

Great! I figured but this is helpful to have confirmation on. Appreciate the info.

In ApostropheCMS, which I'm working on adding OpenTelemetry support to, we potentially could do it the other way and still get a decent percentage of the information, but the auto instrumentation is just far too useful and our clients should be fine with enabling OpenTelemetry SDK in environments where they need the data and don't mind the performance hit until they are done gathering it.

I'm closing my ticket because my question has been more than answered. Maybe this deserves a note in documentation?

[gmreads]

User libraries which do stuff that breaks this as of now (e.g. resource reuse/pooling,..) should use AsyncResource to avoid this breakage.

@Flarna Can you please expand a bit more on this ? I've been trying to resolve a related bug for quite some time.

Basically the span created during first request is getting attached even in subsequent requests
span = trace.getSpan(context.active()) // always gives first span

Using sails-mysql adapter with, express and http instrumentation.
I suspect this might be due to connection pooling ?
Working on building a minimal reproducible example, will file an issue after pinpointing.

[Flarna]

@gmreads I hacked a small reproducer which includes the creation of AsyncResource to fix the issue:

import * as http from "http";
import { trace } from "@opentelemetry/api";
import { AsyncResource } from "async_hooks";

const port = 8600;
const tracer = trace.getTracer("sender");

interface Msg {
  msg: string;
  res?: AsyncResource;
}

const msgQueue: Msg[] = [];

function sendMessage(msg: string): void {
  msgQueue.push({
    msg,
    // if this is removed all three doSendMessage are in the same trace instead
    res: new AsyncResource("my.sendMessage")
  });
  if (msgQueue.length === 1) {
    doSendMessage();
  }
}

function doSendMessage(): void {
  if (msgQueue.length === 0) return;

  const doIt = () => {
    const span = tracer.startSpan("doSendMessage");
    // simulate that this takes a while
    setTimeout(() => {
      msgQueue.shift();
      span.end();
      process.nextTick(doSendMessage);
    }, 1000);
  }

  const msg = msgQueue[0];
  if (msg.res != null) {
    msg.res.runInAsyncScope(doIt);
  } else {
    doIt();
  }
}

let cnt = 0;
http.createServer(function onRequest(req, res) {
  sendMessage(`msg ${cnt++}`);
  res.end();
}).listen(port);

http.get({ port });
http.get({ port });
http.get({ port });