Don’t Try This at Home: Synchronous I/O in Node.js

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Node.js is famously a JavaScript runtime that encourages using asynchronous operations wherever possible – but what happens when you really, really need to do synchronous I/O? Anna gives an overview over the – surprisingly many – different ways to achieve this, and what we can learn about how the language and Node.js internals work from them.

This talk has been presented at Node Congress 2021, check out the latest edition of this Tech Conference.

FAQ

The main reason to avoid synchronous IO in Node.js is due to performance issues. Synchronous IO can block other operations from executing, causing delays and inefficiency in processing.

The synchronous version of an IO operation might initially seem faster because it directly performs the read operation without scheduling other tasks in between. However, this can be misleading as it blocks other operations, affecting overall performance.

Acceptable scenarios for using synchronous IO in Node.js include loading code required during the synchronous file system IO, writing CLI applications with limited concurrent operations, and situations where synchronous code is necessary due to API constraints.

Anna is currently working on a project called Mongosh, a Node.js application aimed at rewriting the MongoDB shell to improve maintainability and incorporate modern JavaScript practices.

Implementing synchronous IO for network operations in Node.js is challenging because the underlying library (libuv) does not support synchronous network IO, requiring complex workarounds or reimplementation of the networking stack.

The approach using workers with atomics achieves synchronous IO by blocking the main thread using atomics.wait, while a worker thread performs the IO operation asynchronously. Once completed, the worker notifies the main thread to proceed, mimicking synchronous behavior.

The purpose of the project where Node.js is embedded into itself is to create a synchronous worker by starting a new Node.js instance on the same thread. This allows for synchronous execution without multi-threading, providing a unique way to handle certain synchronous operations.

The use of atomics.wait in browsers is limited because it blocks the main thread, which would prevent rendering and other operations, potentially degrading user experience and browser functionality.

Anna Henningsen
Anna Henningsen
32 min
24 Jun, 2021

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Video Summary and Transcription

This Talk explores synchronous IO in Node.js and the advantages of asynchronous IO. It discusses exceptions to synchronous IO and approaches to achieving synchronous IO in Node.js, including using WASI and native add-ons. The Talk also covers mixing workers with atomics for synchronous IO and embedding Node.js to create a synchronous worker. Additionally, it touches on TypeScript migration, optimizations in Node.js, and experiences and advice on contributing to Node.js.

1. Introduction to Synchronous IO in Node.js

Short description:

Hi, everyone. I'm Anna and I'll be talking about synchronous IO in Node.js. I have a background in the Node.js Technical Steering Committee and now I'm part of the MongoDB DevTools team.

Hi, everyone. So I'm Anna and I'm going to be talking a bit about synchronous IO in Node.js. Before we get started on this, who am I? So I'm Anna, pronouns are she, her. I was previously on the Node.js Technical Steering Committee, so I was getting paid full-time to work on Node.js Core. So in September, I joined the MongoDB team, the DevTools team. And my handle, if you have any questions I want to reach out in some other way, is addalex on Twitter and GitHub, at least. And I'm also the mom of these two little cuties.

2. Synchronous vs Asynchronous IO in Node.js

Short description:

The synchronous and asynchronous ways of loading files in Node.js give the same result, but the synchronous way has performance issues. Initially, I expected the synchronous version to be slightly faster for a single call, but I discovered a bug in the async version that affected performance. However, the async version is now faster. The advantage of asynchronous IO is that multiple things can happen at the same time, allowing for concurrent operations.

But, yeah, so let's try to remember, like, the subtitle of this talk is don't try this at home. And, like, why don't we want to do synchronous I-O in Node.js? I'm pretty sure you've heard that you shouldn't, but why? So here's side-by-side. On the left-hand side you have the classical synchronous way of loading, of doing I-O, of loading a file from disc. On the right-hand side, you have an asynchronous way, and in this case, you could also say it's more modern because it's asynchronous. In the end these two give the same result. And, well, why don't we want the left-hand side? Why don't we want people to do what's on the left? The reason is performance. And before I get into details on that, so, like, if you benchmark a single fs.refi call, I tried to do that for this talk. What I would have expected to happen is that the synchronous version is slightly faster than the async version if you just do a single call because the synchronous version only has to go and read the file and return the results. And the async version, it actually has to schedule doing that and then waiting for the result to come back. So, I would have expected the async version to be a bit faster than the synchronous version. First of all, in the beginning that was true, but that was, like, it was so much faster that I actually discovered a bug in the fs.promises.refi that affected performance. And after fixing that, I don't know, the async version is faster for some reason. If you want, feel free to dig into this and tell me what's going on. But, yeah, generally, that is what I would have expected. But anyway, so the big advantage is multiple things can happen at the same time. That's the general idea of Node.js. You can do something, do something else, and wait for these two things to happen before you go on. And other things can happen also while those operations are ongoing. With synchronous, everything happens after one another. And while your process does this file loading, nothing else can happen. No JavaScript, no other IO, nothing.

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