Node.js is a serious thing now… (2023)

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  • Опубликовано: 22 дек 2024

Комментарии • 725

  • @christopher8641
    @christopher8641 Год назад +1290

    i think there is some confusion as to the actual meaning of async. Async does not really have anything to do with threads. They are closely related but fundamentally separate. You can have async execution within a single thread, sometimes this is even more performant than using a thread pool. Async execution just means that the event loop can be passed off to other tasks.

    • @amjedbouhouch7993
      @amjedbouhouch7993 Год назад +10

      I totally agree 👍

    • @hayskapoy
      @hayskapoy Год назад +6

      💯

    • @Vorenus875
      @Vorenus875 Год назад +42

      Your take on async and threads is completely wrong just saying. JavaScript has a asynchronous non-blocking I/O thread, a single thread that does not block execution. It’s more easy to explain in a metaphor.
      If Node was a server at a restaurant it would take that order. Give it to the chef come back out and take another order aka HTTP request. On the other hand PHP would grab the order. Wait for the Cook to complete that order before they ever took another order from another customer.
      Basic synchronous operations verse asynchronous operations. Research the JS event loop.
      What do you think callback hell is? Why did ES6 give us the Promise API? Just a fun fact synchronous languages don’t have a call stack. ✌️

    • @thedelanyo
      @thedelanyo Год назад +29

      ​@@Vorenus875 both explanations are understandable and I think 100% correct 😅

    • @Vorenus875
      @Vorenus875 Год назад +19

      @@thedelanyo Sorry you’re right I read it again. I just caught caught more with “threads” in the video. Maybe someone can explain to me how this is a “game changer” in 2023 being that the JS event loop has always been this way.

  • @buildwithaustin8442
    @buildwithaustin8442 Год назад +2032

    Ah yes, multithreaded mutable data. What could go wrong?

    • @AlfanNurFauzan
      @AlfanNurFauzan Год назад +269

      data race. data race!!

    • @Mtdj2
      @Mtdj2 Год назад +32

      Sure helps that you have to explicitly state what bit of data should cause you headaches, at least it helps me think more clearly about it.

    • @thanhthanhtungnguyen8536
      @thanhthanhtungnguyen8536 Год назад +74

      sounds like a good way to go to hell to me

    • @dollarmatian
      @dollarmatian Год назад +30

      You talk like you can only code by example.

    • @MadaraUchihaSecondRikudo
      @MadaraUchihaSecondRikudo Год назад +87

      This isn't like the multithreaded nightmare that is Java. You explicitly need to define a chunk of memory or data to be shared and be mutable, it's not "anything goes".

  • @Momo-vy4xw
    @Momo-vy4xw Год назад +140

    People often confuse concurrency with parallelism, concurrent tasks run at the same time, but only one is executed at a given time, parallel tasks are executed at the same time, thus requiring synchronization

    • @danielvega646
      @danielvega646 Год назад +1

      And this is concurrency or parallelism? sorry I'm confused.

    • @donkeyy8331
      @donkeyy8331 Год назад +15

      @@danielvega646 here's a easy way to understand.
      concurrent: cpu will spend x time on a task, but once the timer is up it goes to another;
      parallelism: cpu will process all the tasks at the same time.
      in this case, worker_threads execute parallel instead of concurrent.
      this is a big simplification so if you want to know more how concurrency and parallelism work you should look it up and also try to understand how the OS schedule these tasks to multiple cores at the same time.

    • @andrewhopkins3397
      @andrewhopkins3397 Год назад +15

      People get confused by this because they use the phrase "at the same time." You used that phrase to describe both concepts. I feel like the industry chose poorly with the term concurrency, since the meaning of the English word is "at the same time," and more accurately describes parallelism. I'd have offered something like interspersed, interleaved, multitasking, or something like that. If computing concurrency is occuring, then the different tasks are very much not being performed "at the same time." I had been using the computing terms essentially interchangeably because of this misunderstanding, luckily without ever being in a context where it mattered.

    • @bryanlee5522
      @bryanlee5522 Год назад +25

      @@donkeyy8331 concurrent looks like ____-----____---____---___ parallel looks like =========== ? Is that's right?

    • @_DashingAdi_
      @_DashingAdi_ Год назад

      ​@@bryanlee5522yup! That's exactly it

  • @nosebleed777
    @nosebleed777 Год назад +43

    I had to stop watching after around 1:17.
    The Javascript always run on a single thread, but all of the IO, file handling, etc isn't happening in Javascript.
    All of those things are managed in a thread pool. By default, NodeJS maintains a thread pool of 4. This can be overridden by setting the UV_THREADPOOL_SIZE env variable.

  • @colbr6733
    @colbr6733 Год назад +34

    Thanks for sharing this really useful way of using worker threads. I'll have to give this a try.

  • @robkom
    @robkom Год назад +634

    Node isn't always single-threaded, as its core is written in C/C++ and certain modules will run in separate threads. But Node's single-threaded nature means we avoid having to deal with potentially difficult to debug problems related to memory sharing / data synchronization between threads.
    I/O, network, and CRUD operations against a database are usually the bottlenecks, not long-running code blocking the main thread.

    • @DavidsKanal
      @DavidsKanal Год назад +39

      Well, not quite. In Node, both IO operations and long-running code can be bottlenecks. Yes, if you don't have long-running code, then your application will run fine. But as soon as you have long-running code, that'll bottleneck you way faster than in other languagues because it's that much harder to execute that code in another thread. In that sense, long-running code is the Node.js-specific bottleneck and is what should be avoided if you want to have low latency.

    • @josephmariealba8483
      @josephmariealba8483 Год назад +36

      NodeJS is single-threaded (CPU handles tasks sequentially), but the I/O is asynchronous. So, the I/O devices - like networks, storage, and other connected devices, do not have to hold on to the CPU. Other languages are multi-threaded, but their I/O were mostly synchronous. This is why you get HTTP timeouts with Java and Python, but you never get it with Node.

    • @zk4144
      @zk4144 Год назад +12

      @@josephmariealba8483 both Java and Python has asynchronous. HTTP timeouts are caused by many reasons (and Node application can return HTTP timeout too), sometimes its due to bad code implement, sometime it's security mechanism (to avoid some kind of attacking method - which try to hold connection as long as possible).

    • @hl7297
      @hl7297 Год назад

      @@DavidsKanal
      > that'll bottleneck you way faster than in other languagues because it's that much harder to execute that code in another thread
      How easy it is in other langs?

    • @tajkris
      @tajkris Год назад +6

      ​@@hl7297 for c#, more or less:
      new Thread(fib).Start()
      new Thread(fib).Start(singleParamPassedAsObject)
      new Thread(() => fib(param1, param2, param3)).Start()
      to create a completely new thread
      or
      Task.Run(fib)
      Task.Run(async () => { fib(param1, param2, param3); })
      to run your code on one of pooled threads (generally better idea, unless the code is long running or does synchronous io)
      you also have PLINQ where you can for example do ' var x = someArray.AsParallel().Select(i => i*2 + 2).ToArray();' which will distribute the calculations over all cores and merge the result automagically.
      Note that while it's easy to start code on new thread, it's not that easy to make sure the code runs correctly in parallel (think locks, deadlocks, race conditions, compiler and cpu optimizitations causing writes to var on thread 2 not visible to thread , multiple threads accessing same var under coarse-grained lock effectively making your multithreading slower than single thread and many many more)

  • @CharlesMacKay88
    @CharlesMacKay88 Год назад +2

    The way you speak and explain things is perfect and pleasing to listen to. Cheers

  • @sawinjer
    @sawinjer Год назад +120

    Hey, I had some experience with this feature while doing PWA application. And sadly I should say, that Workers aren't "magic stick", that can fix any performance issue by just wrapping a code into it. One big limitation is that data, transferred between worker and main thread should be serialized. Serialization can cost more than performance you potentially got by splitting algorithm into threads.

    • @EuSouAnonimoCara
      @EuSouAnonimoCara Год назад +3

      Shouldnt buffer sharing like in the example solves this issue?

    • @sawinjer
      @sawinjer Год назад +6

      ​@@EuSouAnonimoCara Yes and no :D. Anyway you can only serialized data into shared buffer, so performance issue about serialization doesn't went away. It can be managed in early stage of developing module, but sadly you can't just wrap smth into web-worker to make it faster. My point was about it :D

    • @samhadi7972
      @samhadi7972 Год назад +6

      You can use transfer lists to move memory to the other thread downside is you can’t use it in the thread that sent it but you can have the worker thread re transfer the same buffer back after doing whatever it needed to do. Nice thing is you can still use postMessage but can avoid the overhead of deep cloning

    • @thelegendofzelda187
      @thelegendofzelda187 Год назад

      ​@@sawinjerwhere do you learn all this stuff? I'm taking a node js course and I'm not sure if I'd be able to keep up with the people in the comments when discussing this stuff. I think I've heard a few speakers talk about this, but that was a long time ago and I can't remember who or what they said. (Kyle Simpson maybe)? Did you study CS?

    • @sawinjer
      @sawinjer Год назад

      @@thelegendofzelda187 I have CS major, but this knowledges I gained in a MDN articles. Also in particular this topic I had commercial experience

  • @joaomendoncayt
    @joaomendoncayt Год назад +215

    Glad you discovered it!
    ~3 years ago I failed a junior interview because the interviewer asked me "why javascript was single threaded".
    I explained her I felt that the question was a "gotcha question" because the initial affirmation was false and depending on the enviroment you could make use of multiple processes or threads with workers or clusters to achieve multithreading.
    She laughed at me and told me I was wrong because javascript used the event loop and couldn't run on multiple threads. I don't think she was an engineer but to this day I'm not sure and I think she was following a script, a bad one as you can see...
    Anyways, thanks for the video! Keep pushing!

    • @josedallasta
      @josedallasta Год назад +75

      just a reminder for everyone that js _is_ single threaded

    • @thatsalot3577
      @thatsalot3577 Год назад +54

      @@josedallasta yes the language itself is single threaded,
      But the runtime can run multiple instances of it and share some memory Between them.

    • @Sammi84
      @Sammi84 Год назад +18

      @@josedallasta JS used to be single threaded. However modern JS has features like SharedArrayBuffers and Atomics, which are definitely multitreading features.

    • @blizzy78
      @blizzy78 Год назад +109

      "She laughed at me" - trust me, you don't want to work for those people.

    • @joaomendoncayt
      @joaomendoncayt Год назад +11

      @@blizzy78 Happily I learned the game pretty early on!

  • @balasuar
    @balasuar Год назад +111

    NodeJS works exceptionally well for I/O Bound Tasks.
    Worker has been part of NodeJS since version 12.
    And Web Workers initially started in 2009.

    • @Scroapy
      @Scroapy Год назад

      Nodejs is outdated BE framework. Why would anybody except for some "fullstack" devs use it nowadays? Libraries are absolute mess with tons of vulnerabilities and close to zero support, let alone half of them dies over 1-2 years. Why would you use it over python, c#, kotlin, go, java and etc... Those languages have frameworks that are way more mature with way more reliable libraries and way less security concerns. People claim that starting with nodejs is simple, while it is not true. It is infinitely easier to build a dotnet7 api for a newcomer. All the tooling works out of the box, no mess, actual code standards, no clickbait content, no confusion with libraries(what orm should I use? MikroORM, Objection, TypeORM, sequelize etc...). You just download SDK and IDE. No need to download nvm. No need to fight over npm, pnpm, yarn. No need for nvm either.
      Node is just a mess. Absolute nightmare to work with 3+ people on the same project. It is also absolute nightmare if you need to maintain the project for 5+ years. If I learned anything in the past decade, staying away from node is the best thing...

    • @nazarm6215
      @nazarm6215 Год назад

      I think the shared memory is new for node

  • @kzakaria91
    @kzakaria91 Год назад +6

    Ryan, this is very helpful, actually you helped me understand Go, and node more as a professional developer who mains Typescript, Thank you!

  • @teelovelock
    @teelovelock Год назад +2

    Glad this video popped up on my feed, love the way your videos are made! Subscribed :)

  • @netd777
    @netd777 Год назад +3

    Came here from Beyond Fireship. Nice video! Subscribed!

  • @edouardcourty4267
    @edouardcourty4267 Год назад +6

    Very good video, straight to the point, no BS, thanks!

  • @zakharkholboiev842
    @zakharkholboiev842 Год назад +2

    2:08 Small tip:
    You may use "console.time" which will log time automatically in ms.
    Like this:
    console.time("Fib");
    const result = fibonacci(iterations);
    console.timeEnd("Fib");

  • @vcothur7
    @vcothur7 Год назад +17

    Thanks for this video!
    I am running a nextjs app, where each request takes around 10-20 seconds to complete (some GPU related stuff).
    The whole app used to freeze when more than 4 users used to connect at a time. It was hard to debug because I thought it should be async, turns out as you said if a blocking operation is performed in an async context, the whole event loop freezes and the users see a 502.
    I created a redis queue and a separate service that does the blocking requests and everything is working fine now.
    Would love to try out worker threads, looks promising.

    • @shantanukulkarni8883
      @shantanukulkarni8883 Год назад +3

      I wish to make a nextjs app too but after watching this video and comments, I think I have not fully understood nodejs yet... I also want to use nodejs but ofcourse, I don't want frozen app with just a few users! Any tips on learning and understanding it in the real world sense?

    • @wiktorkw881
      @wiktorkw881 Год назад +2

      ​@@shantanukulkarni8883 start making this nextjs app and learn what you need on the go

    • @ritik-patel05
      @ritik-patel05 Год назад

      Can you explain redis queue and separate service in detail?

    • @vcothur7
      @vcothur7 Год назад +3

      @@ritik-patel05 nextjs api backend puts json stringified data on redis queue. Node script conitinuously looks for new value in queue.. When it gets a value from it, the value is parsed and gets sent to the GPU server. After, the GPU server is done fulfilling the request the node script gets the data and this data is again stringified and put in Redis . While this was happening, the client polls the nextjs app every few seconds to see the status of the job in queue. After processing of the job, nextjs app gets the output from Redis and sends it back to the client.

  • @mixamega
    @mixamega Год назад +95

    just gonna ignore that each worker took more than 2x the time

    • @KonflictYT
      @KonflictYT Год назад +18

      thats true but it looks like the total running time was 1/5th of the time

    • @thatsalot3577
      @thatsalot3577 Год назад +30

      Context switching !
      If you spawn more threads than the available number, they're going to take much longer,
      That's way you should create a thread pool first and assign tasks to it.

    • @0xpatrakar
      @0xpatrakar Год назад +3

      Initialization of threads also adds up. This is a bad way to benchmark.

    • @anothermouth7077
      @anothermouth7077 Год назад

      These whole techniques seem like going back to regular multi threaded programing languages

    • @PedroPauloAmorim
      @PedroPauloAmorim Год назад +1

      @@anothermouth7077 No one is going back to anything, worker threads are even present in thr rust + actix for example.
      You need to understand what you are trying to do, in this case if you have a long lock it's interesting to invest into a worker thread.

  • @twothreeoneoneseventwoonefour5
    @twothreeoneoneseventwoonefour5 Год назад +16

    It is so easier to do in Go though. It is essentially the same amount of code as in the first (not working) example, but it works asynchronously as you would expect. You can create async functions just by adding "go" keyword to a function declaration (or right beside the execution also, if you want). Use a waitgroup instead of Promise.All and it just magically works as you would expect. Crazy, right?

    • @twothreeoneoneseventwoonefour5
      @twothreeoneoneseventwoonefour5 Год назад

      @Name I myself haven't used go that much yet, but what's wrong with it?

    • @marcossidoruk8033
      @marcossidoruk8033 Год назад +10

      ​@Name are you serious? Go a bad language? Compared to.... JavaScript? Bro, you are killing me stop.

    • @marcossidoruk8033
      @marcossidoruk8033 Год назад

      @Name I think you don't know basic English.
      The other guy was talking about go being better than JavaScript and you said that go is a bad language, meaning in context that is no better than JavaScript, V doesn't have absolutely anything to do with this.
      Plus you look like a complete moron if you go around shoving your favourite language down everyones throats when its not asked for.

    • @pieterirsanpi
      @pieterirsanpi Год назад

      ​@Name try v?

    • @hailuong9295
      @hailuong9295 Год назад

      @@twothreeoneoneseventwoonefour5 it all good until that GC cycle kick in and grab your ball and you have nothing to do to even reduce it a bit. Go is as good as simple but when you start adding more memory related to it, then GC will happily blow all your work. i/e: personally i prefer Jai more, but since god know when it got release, Zig is fine

  • @Ch0rr1s
    @Ch0rr1s Год назад +104

    heads up.
    Code in the Promise constructor runs SYNC and is blocking!
    There is no such thing as an async constructor. not even for a promise.
    Regarding to 3:18 at Line 7.
    To make this happen in a JS async nature you should use Promise.resolve().then(...your code...)
    in calling Promise.all([doFib()]) is executing the function doFib() - however, the code runs sync because its calculated in the constructor of the promise which is immediately solving and resolving the task - doing the work immediately, rather than creating a promise that should return once the task is solved.
    all the functions in Promise.all() are executed one after another before the constructed array is handed to the Promis.all() function - so Promise.all() is receiving an array where all the promises are already resolved and there's nothing to wait for.
    what you would want to see in the Promise.all() test is not everything being calculated in sync - but printed kinda simultaneous as all of them are actually processed in "fake" async - time-slice parallelism.
    this is probably affecting the test - i didnt try it myself though because i'm too lazy to type all that code.
    And one more thing - if you're using workers, you can ease your life with the "comlink" npm packaged. written by former google dev advocate Surma and its reaaaally taking the pain out of worker thread communication.

    • @jc-depre
      @jc-depre Год назад

      > the code runs sync because its calculated in the constructor of the promise
      the constructor does not run immediately the callback function, it will be executed (synchronously) only when there is no more to compute in main thread, try something like this:
      const a = 'first';
      const p = new Promise(resolve => resolve(1)).then(res => console.log(res))
      console.log(a)
      // first
      // 1
      I do agree that a better way to explain this could have been using setTimeouts

    • @kaos092
      @kaos092 Год назад

      That's not how it works. The computation doesn't run on a function while it's in the queue. You would waste more time pushing them in the queue because you can only one the computation one at a time as each one is resolved immediately.

    •  Год назад

      ​@@jc-depre to replicate the OP's point, change your example to:
      const p = new Promise(r => {
      console.log(1);
      r();
      });
      You will see the result as:
      // 1
      // First
      Also, glad the OP mentioned comlink. I love it!

    • @stephenbelanger
      @stephenbelanger Год назад +1

      The continuations of all those promises will run as microtasks on that same thread though so it will still run each in order and block the thread, it will just not do it until the next tick of the event loop. To be properly parallel they need to happen on different threads which requires using worker_threads.

    • @pumpedupbro4200
      @pumpedupbro4200 Год назад

      I don't know what is true anymore. Everyone's just speaking their own theory 😢

  • @ibrahimhalouane8130
    @ibrahimhalouane8130 Год назад +16

    It is also possible to use the cluster built-in module is well-suited for scaling network applications, the cluster module is more suitable for scaling network applications, while the worker_threads module is more suitable for parallelizing CPU-bound tasks within a single process.

  • @killjaqular
    @killjaqular Год назад +1

    i hit the subscribe button HAAARD
    im going to explore the rest of your videos and hope they are just as well done!
    thank you for the information and high quality production!

  • @orenders
    @orenders Год назад +1

    What is spinning up more processes for you? Server Workers/Childs waiting for job forever in HOT, Apache/Nginx/Lightppd for example - workers already in ram ready and waiting. If you did server config well of course. Yours first example wont use web server or what ?

  • @John.Whitson
    @John.Whitson Год назад +41

    Hey Ryan, while I understand this video is to demonstrate multicore execution I think it's important to point out that you can achieve asynchronous execution inside the event loop without workers. It would have been good to see you include the following async version of the code in your demonstration so that users understand there is a middle ground that allows asynchronous execution without requiring worker management.
    async function fibonacci(n) {
    return n < 1 ? 0
    : n

    • @terrencemoore8739
      @terrencemoore8739 Год назад +16

      Async and promises do the same thing. They are just syntactically different. The video is highlighting that you need multiple cores in order to execute things in parallel. You are not able to execute things in parallel in JS because it only has access to one CPU which can only handle one process at a time. JS Async is not handling tasks at the same time, it is scheduling tasks to be handled at a later time. This is concurrency. This video is about parallelism not concurrency.

    • @terrencemoore8739
      @terrencemoore8739 Год назад

      if you've ever used assembly language before, Its like putting a jump statement at the end of a block of code to go to a previous (or future)spot in the code, the asynchronous portion of the code, then have another jump statement to jump to the next part of the code the dev wishes to execute when the asynchronous code finishes.

    • @John.Whitson
      @John.Whitson Год назад +9

      @@terrencemoore8739 If you read my comment you should see that I said that async/await is not multi core execution and my main point was that his example used promises in a way that didn't really make sense, he could have just put the calls to the functions as direct calls as he wasn't really making use of promises in a meaningful way. If the code is going to use promises it should demonstrate how they can execute code asynchronously.

    • @terrencemoore8739
      @terrencemoore8739 Год назад +1

      I've never tried writing asynchronous Assembly language code though, so this part may be a bit inaccurate

    • @terrencemoore8739
      @terrencemoore8739 Год назад +2

      @@John.Whitson The video is not about asynchronous code, its about parallelism. He acknowledges that JS is async but if you want to do two things at the same time, its impossible. CPUs handle one process at a time. If you want two things to run at once , you need two CPUs

  • @fernandojsantos09
    @fernandojsantos09 Год назад +1

    Man, congrats! Awesome video quality and content.

  • @sergio_saad
    @sergio_saad 9 месяцев назад

    wow. just impressive how direct and well executed this video is. And it takes time and work. and you make it looks like simple. Just top of the line Job. Congratulations. The sad part is that I can only give a like once.

  • @aslkdjfzxcv9779
    @aslkdjfzxcv9779 Год назад +17

    you also do commercials or radio announcements, by chance?
    (if not, you should) 😁

  • @sanjay261982
    @sanjay261982 Год назад +2

    Cluster module is better suited for distributing load horizontally on a node server, while worker threads module is better suited for parallely performing cpu bound tasks.
    You started this video with the problem of load distribution (whose solution is cluster module) and then suggested worker threads with an example of cpu intensive job.

  • @cyrusmobini1321
    @cyrusmobini1321 Год назад +6

    NodeJS (or JS) doesn't have a lock for volatile variables, so how can we ensure that two (or more) processes are not changing the same buffer in the memory at the same time?

  • @andreujuanc
    @andreujuanc 6 месяцев назад

    I like the format of this video. Subscribed.

  • @yogeshdharya3857
    @yogeshdharya3857 Год назад

    Got insights about load balancing , orchestration and cloud computing . Thanx great for a start !

  • @RohitKumar-xs3wh
    @RohitKumar-xs3wh 10 месяцев назад

    Nicely crafted video ryan, really good

  • @aileenchan3741
    @aileenchan3741 Год назад

    Thanks for introducing me to worker threads in Node! :D

  • @notJustNumbersWhoSpeak
    @notJustNumbersWhoSpeak Год назад +47

    i know you try to convince me to back to Nodejs, but don't try, i decided to stick to GO xD

    • @lovelytingy
      @lovelytingy Год назад +3

      go is ❤

    • @PenguinCrayon269
      @PenguinCrayon269 Год назад

      if err != nil
      if err != nil
      if err != nil
      if err != nil
      if err != nil
      if err != nil
      if err != nil
      if err != nil
      if err != nil
      if err != nil

    • @afxcode
      @afxcode Год назад +1

      yeah, let alone js on the browser

  • @sofiaknyazeva
    @sofiaknyazeva Год назад +66

    isn't worker_threads already a thing since NodeJS 10?
    Still, in most cases, a compiled language will outperform in performance than interpreted language.

    • @fullstack_journey
      @fullstack_journey Год назад +16

      Your point is valid it'll outperform it but javascript is not entirely interpreted, it's JIT compiled, which does a lot of under the hood optimisations that brings in some performance gains in some use cases.

    • @FalB27
      @FalB27 Год назад +2

      @@fullstack_journey A compiler is nothing more than an interpreter that translates the code into machine code before execution.
      Being JIT Compiled really only saves time when you call multiple times the same bit of code.

    • @void_p
      @void_p Год назад +1

      @@fullstack_journey it is not entirely JIT compiled either, as the code needs to be run and the runtime needs to gather usage patterns such as which types are used...

    • @4.0.4
      @4.0.4 Год назад

      ​@@FalB27in a server, most of the code will be called multiple times.

    • @SETHthegodofchaos
      @SETHthegodofchaos Год назад +1

      @@FalB27 its more complicated than that. the JIT compiler does more than just compile it can also analyse and optimize code paths better than a program that is "normal" compiled. Besides being able to compact heap memory in a VM, making it more accessible to the CPU and its cache.

  • @gerryramosftw
    @gerryramosftw Год назад

    Very glad I saw this video! Makes me excited to do some more NodeJS development

  • @yuryyukhananov8516
    @yuryyukhananov8516 Год назад +12

    This example seems to be about parallelization rather than concurrency. The first time the calculations ran on a single core and it wouldn't matter if they ran asynchronously or blocking, because the rest of the cores were idle. The second time the job finished faster because of mutithreading, but the result would be the same even it would run in a blocking fashion.

  • @elijahlair
    @elijahlair Год назад

    Really enjoyed it, duuno if it's the voice, but I was glued till the end...Very informative video also

  • @KaetramOfficial
    @KaetramOfficial Год назад +25

    I think you have concurrency and parallelism mixed up. As well as the definition for asynchronous function. When you ran the worker threads they were running in parallel, that is, multiple threads running the same program on the same tick. When you ran asynchronous, those are concurrent.

    • @codingispower1816
      @codingispower1816 11 месяцев назад

      I think you're right:
      "Concurrency is the task of running and managing the multiple computations at the same time. While parallelism is the task of running multiple computations simultaneously."

  • @GreyDeathVaccine
    @GreyDeathVaccine Год назад +1

    First time on this channel. Dude! You have excellent voice.
    Great content. Sub & like.

  • @wahoobeans
    @wahoobeans Год назад

    Nice video. I finally understand the shared buffer data type.

  • @usuarioaleatorio336
    @usuarioaleatorio336 Месяц назад

    Congratulations, explained with mastery and it resulted to be an historicall meaniungful video to understand JS

  • @XxDarkCinisterxX
    @XxDarkCinisterxX Год назад +1

    Thanks Ryan!

  • @romanvandersar2134
    @romanvandersar2134 Год назад

    Saw this video and subscribed.
    Liking the vibe.

  • @brianbutton6346
    @brianbutton6346 6 месяцев назад

    Well done. Clean. Something I will use.
    Thanks.

  • @papa_ethan
    @papa_ethan Год назад +1

    @3:02 That is why you don't do CPU intensive execution in Node.JS. But for input-output operation it is very optimum. It is still faster than other non-async language backend runtime.

  • @TioPew
    @TioPew Год назад +1

    Friend, this is the first time I join your channel, I'm happy that RUclips brought me here, your voice is a gift from God. Keep up the excellent work.

  • @john9francis
    @john9francis Год назад +3

    This is the best video ever. First of all it finally explained to me what nodejs is, and secondly such a clear explanation of worker threads and multi threading. 🔥🔥🔥

  • @shivankchopra8552
    @shivankchopra8552 4 месяца назад

    One of the issues while using worker threads in node js is the memory requirement per thread, every thread has it's own node runtime. So the amount of ram usage is way more, compared to threads in languages such as C# or C++.

  • @oPatrickVico
    @oPatrickVico Год назад

    That was pretty cool. Thanks for the video!

  • @CuriousSpy
    @CuriousSpy Год назад +6

    Worker threads are not a new thing in nodejs. It even works in browsers lol. JS ecosystem is still slow and no one writing fast apps in it. Nodejs designed for IO, not cpu-bound tasks

  • @UjjwalSidhu
    @UjjwalSidhu Год назад

    YOOOOO, your intro was amazinggg I thought whole video was like that for a sec hahaha tho if it was ngl it would be hella fun and exciting to watch it sure will take ton of time tho-;''

  • @modusartsgroup
    @modusartsgroup 6 месяцев назад

    Ryan, you have a next level narrative voice. Get a talent agent and audition for the documentary producers at BBC and PBS and Netflix. Dude!

  • @origanami
    @origanami Год назад

    The fastest way for two threads to communicate is via a fixed size shared mutable buffer that is allocated once.

  • @veritasliberabitvos454
    @veritasliberabitvos454 Год назад

    Thanks for this appreciate the podclass.

  • @anthillca3665
    @anthillca3665 Год назад +6

    use pm2 instead of workers. pm2 counts your cores and will add threads on the fly.

    • @jf3518
      @jf3518 Год назад +2

      pm2 creates multiple processes instead of threads.

    • @viky2002
      @viky2002 Год назад

      This

  • @햄버거맨-g8c
    @햄버거맨-g8c Год назад

    Good bass voice! I don't understand what you're talking about but I will watch this video when I go to bed.

  • @omarderkaoui842
    @omarderkaoui842 Год назад

    that is a golden voice for tutorials ❤ i am big fan right now

  • @nagy-nabil
    @nagy-nabil Год назад +2

    I don't know the performance difference between fork and worker thread, but i wanted to point to the fact that worker thread create v8 instance which have the overheard of allocating memory and all that stuff because it's fundamentally creating new process

  • @irakli.asatiani
    @irakli.asatiani Год назад +2

    actually, everything that's being called with async is in fact separate thread but it's doing some OS stuff in a background, what you also shown us is concurrency not the parallel execution so in fact it's not fast, it's just handling executions frequently between them, but it's not increasing speed, concurrency only increases speed when it comes to IO bound operations, but this is true for different techs like in Python or Ruby, Java can tho truly run in parallel and utilise all cores, so there are many misconceptions in net about this.

    • @irakli.asatiani
      @irakli.asatiani Год назад +1

      so in short if it comes utilising all cores it's parallelism, when it's just concurrency it's just once core which quickly swaps context executions.

  • @r-i-ch
    @r-i-ch Год назад

    Great Demo! Thanks.

  • @응애의일기
    @응애의일기 Год назад

    I'm a Korean junior developer. Your pronunciation is so good that I didn't have a problem understanding your explanation.

  • @Denverplantguy89
    @Denverplantguy89 Год назад

    I would love to see more posts / videos like this

  • @karlostj4683
    @karlostj4683 Год назад

    Very informative. Thank you!

  • @sonluuh
    @sonluuh Год назад

    Same. Just found out the power of Worker Thread in Nodejs recently.

  • @koenlippe8510
    @koenlippe8510 Год назад

    Ryan, you popped up a few times now -> i subbed

  • @Luxcium
    @Luxcium Год назад

    worker threads are using new processes to accomplish theirs task on separate threads (one thread by process in a single thread fashion) you can get the PID of each worker_threads I guess the only multi-thread capabilities is with IO via LibUv using callbacks, promisses and async await on those...

  • @BitYoungjae
    @BitYoungjae Год назад +2

    Node는 System call로 던질 수 있는 I/O 작업은 이를 통해 os로 던지고. Crypto나 기타 os로 못 던지는 작업들은 node의 스레드풀을 이용한다고 알고 있습니다.
    결국 worker thread를 사용하지 않는다 하더라도 node는 멀티 스레딩을 활용하는 것이지요.

    • @풍월상신
      @풍월상신 Год назад

      저도 그렇게 알고 있습니다만, 그 멀티 스레드 활용이 제한적이라는 게 여기서의 논쟁거리인 것 같습니다.
      Ryan 의 피보나치 테스트에서 수치가 나왔으니까요...
      만약, Ryan 의 코드에서 피보나치 연산을 외부의 C 스크립트로 처리했고, Node 는 그 연산결과를 받아오는 방식이었다면,
      Node 의 멀티스레딩을 신뢰하는 사람들의 기대에 부합하는 결과가 나왔을 수도 있겠죠.
      적어도, C/Python 으로 처리해야 할 작업과, Node 가 직접 연산해야하는 작업의 판단은 있어야 하고,
      worker 로 스레드를 분산해 준다면, 그에 따르는 위험도 관리할 수 있어야 한다는 정도로 저는 정리해봅니다.

  • @DiegoBM
    @DiegoBM Год назад

    If you can read between lines then this is definitely a fantastic video. Thanks

  • @gcasanas1
    @gcasanas1 Год назад

    Very well done Ryan.

  • @ankusarmah6795
    @ankusarmah6795 Год назад

    great video man! internet needs more guys like you. thank you

  • @DoubleFaceReal
    @DoubleFaceReal Год назад +1

    I learned a lot from this video , thank you so much

  • @herbertpimentel
    @herbertpimentel 7 месяцев назад

    Thank you very much, I did lost an amazing job opportunity because I could not explain exactly it. You did it sou clearly that next time I will no fail 😅

  • @Gadrawingz
    @Gadrawingz 3 месяца назад

    Expressively understandable!

  • @hamedtahmasbi2791
    @hamedtahmasbi2791 Год назад

    Dude you have an amazing voice. thanks for the video.

  • @cariyaputta
    @cariyaputta Год назад

    Could you please do a follow up video on how to incorporate shared buffer into this implementation?

  • @hanro50
    @hanro50 Год назад

    Huh, node js can run on multiple threads using clusters as well. On server apps it will actually share threads and it can allow for failover.

  • @RepositorioSop
    @RepositorioSop Год назад

    the intro is awesome!

  • @rumisbadforyou9670
    @rumisbadforyou9670 Год назад +39

    The guy just discovered a technology from 2015! Now I understand why people dislike working with JS codebases.

    • @Originalimoc
      @Originalimoc Год назад +7

      Async runtimes/green threads are like from around 2010, and finally things like Go and Rust Tokio and Kotlin Coroutine makes it popular.

    • @chlorobyte_projects
      @chlorobyte_projects Год назад +2

      Wait until you discover Python.

  • @matth23e2
    @matth23e2 Год назад

    That worker thread API is incredible. I had SO MUCH trouble making an efficient web crawler in NodeJS that I switched to Java and then Python. No joke, I ended up as a Python dev because I didn't understand NodeJS haha.

    • @ginkcode
      @ginkcode Год назад

      If you do understand NodeJS, you will eventually end up as Python and that's a good choice.
      NodeJS worker thread is not that great. Performance is bad and it takes a lot of time to transfer messages between the main thread to workers and vice versa.
      In this video example, you can see that each doFib() in the main thread is done in 480ms but when using worker thread, it needs around 970ms to finish.
      Let's choose a real multi-thread language when we need it for CPU intensive tasks. NodeJS event-loop is good for IO tasks only.

  • @gnatinator
    @gnatinator Год назад +4

    I already have a difficult enough time keeping node workers alive for more than a few months without PM2. Can't imagine how bad the reliability would be with that responsibility also being pushed directly into 1 node process, lol.

  • @kenamreemas3295
    @kenamreemas3295 Год назад

    Hey Ryan, thats a cool video, can you please make a video around JS buffers and how to use them please?

  • @eswarprasad9773
    @eswarprasad9773 Год назад

    Is this a right approach ? Correct me
    1. Assign cpu intensive sync tasks to worker threads
    2. Let node event loop/thread pool handle async ops
    3. Spawn multiple processes with 1&2 to balance the traffic load
    I always thought this is the way, as I said open to corrections

  • @IhsanMujdeci
    @IhsanMujdeci Год назад +4

    I swear cpu is barely a bottleneck for most applications. Performance is overrated and the language is rarely the issue. If you want extra performance write a module in rust or something.

  • @botondvasvari5758
    @botondvasvari5758 Год назад +2

    and why would I use this cryptic mess when I can write go func() and done in GO or new Task in c#

    • @tomwilliam7299
      @tomwilliam7299 Год назад

      because nowadays the world run on JS 🤣🤣🤣🤣🤣😁😁😁😁

    • @diamondkingdiamond6289
      @diamondkingdiamond6289 Год назад

      Because people are too easily swept away by hype trains😂

  • @SwapnilSoni
    @SwapnilSoni Год назад

    Absolutely amazing
    Can you make video on Worker threads crash course demonstrating with express as well please

  • @djcaesar9114
    @djcaesar9114 Год назад

    That is a very useful video. Thanks a lot!

  • @mhcbon4606
    @mhcbon4606 Год назад

    does it share the loaded lib at runtime ? What if a package has a singleton and it is imported by both workers and master ?? Do they share a ref ? What s the overhead using it ? Besides the sharedbuffer interface, it looks likes a neat improvement of past ipc systems. looks good overall.

  • @darealmexury
    @darealmexury Год назад

    Really interesting, great video.

  • @PeterBernardin
    @PeterBernardin Год назад +6

    Workers are really cool if you understand them. I use them for some front-end applications, happy to see they are in node now. They are expensive to create though. They're not equivalent to doing like a goroutine or something.

    • @matth23e2
      @matth23e2 Год назад

      I'm curious, what would you use them for on the front end? Is it some kind of cpu intensive task that runs on the client?

    • @PeterBernardin
      @PeterBernardin Год назад

      @@matth23e2 Yeah pretty much. I run a reasonably cpu intensive search algorithm in a worker, and it just returns the array of references. Keeps the main thread unblocked. If you give workers some thought you can use them for a lot of things though.

  • @rahmounioussama1624
    @rahmounioussama1624 5 месяцев назад

    thanks bro , that was helpful !!

  • @LeinMarley
    @LeinMarley Месяц назад

    Thanks for sharing such valuable information! Could you help me with something unrelated: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?

  • @Ea_Nasir_The_Akkadian
    @Ea_Nasir_The_Akkadian 6 месяцев назад

    Using the SharedArrayBuffered requires some particular HTTP header?

  • @paulogodinho3275
    @paulogodinho3275 Год назад

    Yep, this is the last straw, I am learning Go, good video.

  • @pooyannajafi
    @pooyannajafi Год назад

    nice and sharp explanation. Thank you. For a turn-based strategy what should one use?

  • @yobson
    @yobson Год назад +1

    0:20 was that flashbang really necessary?

  • @itsandyagain
    @itsandyagain Год назад +2

    Now you got me thinking about a framework for semantic thread-management 🤔Would love to see more about this

  • @themarksmith
    @themarksmith Год назад +9

    Excellent vid as always... (and you should probably do voice-over work too, lol) - Have you had any experience with Caddyserver which is written in Go? - I am thinking of using it primarily for its reverse proxy features and it would be interesting to get your take on it...

    • @simonf3919
      @simonf3919 Год назад +1

      Caddy is nice! But nginx and apache are pretty good too though. If you're not familiar with any of them and you don't care about battle testedness then caddy for sure

  • @andrewandrosow4797
    @andrewandrosow4797 Год назад

    I tried to use workers - but I have not seen any improvements. After this I tried clusters - there was improvement. I tested with the Apache ab tool - and there was improvement in performance.

  • @betterstack
    @betterstack 9 месяцев назад

    Great job with the explanation Ryan 👏If anyone’s looking for more Node js videos, we’ve released agenda scheduling and app logging to help the community too 💪

  • @brianevans4
    @brianevans4 Год назад

    I was asked in a technical interview if Nodejs can do multithreading or multiprocessing, and the interviewer said it can’t do either. Unfortunately at the time I didn’t know any better, but that’s wrong.