So it stringifies the function you give it, splits it into its component bits of execution, then interprets the contents alongside a state machine (with judicious use of bits concatenated together and eval'd). Interesting, for sure. AFAIK there's no preemption mechanism (or resource management), so all it does is make your code execute asynchronously - very asynchronously - the every-line-interwoven-randomly kind of asynchronously.
I do love me some metaprogramming, but is there a real scenario where you'd want something as dangerous as this compared to a generator (or a system of generators)? They have very clear atomicity guarantees (things between yields will happen synchronously), unlike what this ends up decomposing your code into. I suppose that's just the cooperative vs supervised threading debate, though?
Don't do this. The module pattern is pretty well known and you can use it to return a singleton. Global has some built in node.js stuff but I wouldn't mess with it.
>> Example of wrapper to setTimeout, that will be gracefully stopped in case if pseudo-thread is stopped:
This seems overly complex and unintuitive. Also, there are lots of references to `synjs` but the project's name is `nsynjs` which seemed confusing to me.
Honestly, like I mentioned at first, cool project but callback hell is very easy to avoid even without Promises or async / await as long as you follow solid development patterns.
I would be interested if you have benchmarks / comparisons against callbacks, promises and async / await.
"wrapper to setTimeout...This seems overly complex and unintuitive"
Typical web app most likely would have very few wrappers ($.ajax, setTimeout, etc), and they need to be written only once. But then everywhere in nsynjs-executed code you can just use them, connect with any necessary logic that JS can offer (not only by chaining .then...then.), without thinking what function is async/await and when it actually executed. My intention was to be able to write logic on JS in step-by-step manner the same way as if it was Visual Basic.
One way is to delete entries from `require.cache`.
Either way you might get a separate instance if npm decided that your module and another module require different version of a given module. These would both be singletons though. Just singletons of instances of different versions of the same module.
The point is that regardless of where it came from parameterized queries are a staple of programming now, and having an example without it would be like having an example of a login system be
I'd much rather read a straightforward example like that in an intro, then reading the complicated prepared statement when going through what's essentially pseudocode.
There are valid cases where you're sure that the thing you're looking at is a valid id (ie. you already pulled it out of the database or by generating it yourself), not every program is a webapp that's handling user input, and examples like this aren't meant to teach you best security practices.
And yes the login system example would be acceptable if you're discussing something entirely unrelated to actually implementing one.
VMs that offer lightweight, blocking, non-shared memory, threads provide a great developer experience. The Dart team was experimenting with this with the Fletch VM.
While it gives good insight to the problem of sync vs async functions, I've come to find its conclusions problematic (and it rather blatantly ignores Chesterton's fence), especially with "Java did it right, but they have started to do it badly now", and especially "Go has eliminated the distinction between synchronous and asynchronous code".
Ouch. You are going to think that - until your hit first deadlock or race condition.
While implementation quality of the "colored function" concept varies greatly (and JS async/await is not a good example IMO - look at C# for one that doesn't neccesarily suffer the "async all the way up" problem, for example), there are reasons it's so prevalent. Async is fundamentally different, and more importantly: In the end, it's all about the data.
That's why the most important part of goroutines is the channel/send/receive(EDIT: And especially select, of course. :)) implementation. And that's why the simple "go func" syntax itself or whether it's different from normal function is a bit of a red herring, since the implementation and data access/communication inside the function will likely be different.
I don't know why you're getting downvoted, you're right.
I love Go, it's my language of choice. There's a clear difference between calling a function sync or async. It's nice that we can choose to do either at will.
Oh, except that if it's an async call we have to use channels to communicate with it. Which is cool, but it's a different mechanism than if it's a sync call.
It's exactly the same as the red/blue rant about JS. If it's async you have to hand it a channel to talk to you on. If it's sync you can just wait for it to return. Async/Await same same but different.
Yes, the language does some nice stuff under the covers about pausing goroutines, but it only does that if you have multiple goroutines. If you code everything without using goroutines (and channels) then it's not concurrent and won't do the nice stuff. It'll pause for i/o just like any other language.
When calling a function, you know what arguments/parameters to use, right!? Then you also know if it's sync or async. The browsers way of dealing with async seems to be forgotten, for example:
button.onclick = buttonClicked;
I find this pattern easier to deal with then callbacks.
While I don't use async / await right now, mostly because it's not natively available in all of the target browsers I want to use, I'm not the biggest fan of the pattern. It takes previously asynchronous functions and makes them appear as synchronous. The worst part is with some asynchronous methods you can't use async / await so now you have synchronous and asynchronous code that appears identical while also having some other asynchronous code that appears more traditional.
Overall it just ends up being a bit inconsistent for my tastes. But I like that we're trying more things to evolve the language to avoid common pitfalls like callback hell
It's funny watching part of the history of C# replay itself in Js, I heard the same arguments when it was playing out in C# (TPL => Promises, await/async => await/async)
It's a kludge. Syntactic sugar to remove one level of nesting.
Other languages come either with great concurrency support out of the box (Go, Erlang) or enough constructs to implement cooperative schedulers without having to specify async/await (Lua).
Not disagreeing, but as a long time JavaScripter it is remarkable to me that no matter how delightful or expressive or ergonomic the language tries to become, the same old criticisms manage to evolve with it (this may not be unique to JS).
[Edit] JS has long been criticized (fairly or not) for offering clunky "concurrency" strategies. If you must down vote, please have the decency to offer a counter perspective.
As someone who has been around for a long time and manages teams using many different languages (C,C++,C#,Java,Python,JavaScript) my JavaScript/Web teams are the most problematic in terms of cost/performance/gating bugs/upgrades/multi-platform support. The JavaScript critiques that you see are just an expression of the time and resources being wasted.
If you have callbacks, you end up with hard to read and debug code.
If you have transparent async, then:
Then how do you know what blocks and what doesn't ? What's asynchronous and what's going to trigger a switch ? What's a disguised callback and what's the next line ?
Why would you need to know, except in some special cases? If you're using async/await, your next line is not executing anyway until the result comes, blocking or not.
2 main reasons:
1. If some nested function is async/await, all the callers (and whole graph) need to be converted to async/await. I feel that language shouldn't force programmer to do this type of tedious work.
2. It's not compatible with some browsers, only via Babel
I think the claim was: One async function (which of course returns a Promise under the hood) forces all surrounding functions to be also asynchronous (return a promise). Of course you could start an async operation from any function -> Just call the async function and ignore the result. But in order to do something with the result and return a transformed version of it the surrounding function has to be async (return a Promise, accept callbacks, etc) too.
Maybe the confusion was the async here has two meanings:
1. asynchronous in general, which means it doesn't return a result immediately, but returns it through a Promise which is fulfilled later or a callback.
2. Using the async/await syntax. As we all agree this one is just sugar around Promises.
I'm using ES6 async/await and I can't be happier, async programming is almost sane now. The only drawback is that you have to remember that it's all syntax sugar about Promises and they are just a bit more than syntax sugar about callbacks, so you have to understand how each async thing works or you'll be mad. But when you know those things, you can be asynchronously productive.
Me too. For the sake of sanity we should stick with async / await and forget the time we had to choose from dozens of different ways of doing async code (most of time requiring tedious wrappers).
I do love me some metaprogramming, but is there a real scenario where you'd want something as dangerous as this compared to a generator (or a system of generators)? They have very clear atomicity guarantees (things between yields will happen synchronously), unlike what this ends up decomposing your code into. I suppose that's just the cooperative vs supervised threading debate, though?