Modifying state directly in react -- why is it working? - reactjs

My code works, so I'm not asking for help in that regard, but I want to understand why it's working as it is- react theory 101. I like to study things that I come across so I can get predictable results in the future.
I have two similar objects:
const [formData, setFormData] = useState({})
const formState = {}
Both intended to serve the same purpose. I only need one of them, whichever works.
I'm prop drilling down several layers. I'm running a multiple step modal gathering client input to send to server. I am collecting data but that doesn't have to constitute 'state' insofar as it's not going to change the rendering/User Interface. It's passively collected. Do I need to use 'state'?
It turns out when I clicked the choices to a question, formState captured the values and they got logged to the console.
However when I went to another questions on a new page, the old data got dropped.
I had to go to the drawing board. Actually I figured I would have to use the setFormData hook, and manage state after all. I didn't expect it to trigger any re-renders because I'm not using the data in my view. Nothing would be a DOM 'hit'.
Well it seems like the fact that this is a useState wrapped object made the different because the object persists and compiles or aggregates past data with current data:
However, the interesting thing is I never actually ended up calling setFormData. I simply modified formData directly just as I did with the other. The difference it seems was just the wrapper, and it let me do it without complaint.
const handleClick = (e: React.MouseEvent<HTMLElement>, p: ViewProps, data: string|number) =>
{
let qn = p.question.question // => question-number
console.log(qn, data)
p.formProps.formState[qn] = data // identical ...
p.formProps.formData[qn] = data // ... operations
console.log('form state', p.formProps.formState)
console.log('form data', p.formProps.formData)
}
A few things are surprising to me. Even using const for the object formState (implying a constant reference to a location in memory, that I think would stay in the same blockscope of the parent), it resets or flushes out or overwrites the data somehow [can't log memory address in js], but the useState-wrapped formData does not flush. It must be held by react in a true single memory location, a true singleton in a memory bank somewhere, or?
Lastly, even though I was using a useState wrapped object, I didn't need to change it with setFormData. Is this a 'hack' or is this something they build in for use cases like this or is this something they just can't avoid even if they want to? I can see how modifying state directly would not work if you're making a component that needs to re-render. How else would React know if control doesn't pass to one of React's core functions? But if you don't plan to use it for rendering, and you aren't going to ever call setState, would it make a difference from a theory POV? The same button they click will send them to my next page anyway. I do see from reading the docs that if you do call setState later, it could wipe your data, and these two things are the vast majority of use cases. I was mostly surprised it worked so smoothly when the direct modification of a non-state object didn't.
What are your thoughts? Is my thinking correct? I don't mean to over-state the obvious. I'm actually at the edge of my knowledge on these subjects and this is how I push that edge.

Related

What is the useState alternative for fast parallel, async state updates?

I'm trying to build a little calendar, where one can "mark" days by clicking on them.
Each click causes a request to the server to persist the change (set or unset a day).
It seems like useState can only keep up with so many changes at once, and due to the nature of reloading the component, i loose some of the fetch-requests happening as well.
When i understand the useState behavior correctly, each setDays will reload the whole Calendar, even if an instance still has a request running. The system is smart enought, so that a (limited) number of requests still manage to complete in the background and trigger their state update. However i have no control or guarantee over how many "make" it when clicking fast.
My real code has an additional state change, by marking/unmarking each day as "in flight" (via dayClassName) while the request is running, probably increasing the problem even more.
I'm a bit lost in what direction to go from here:
Should i try to limit the effect of a day change to a single day itself, avoiding to update the whole calendar with every click (need the result outside, though).
Or is a different system/strategy to manage the state, e.g. redux, the better choice here. For example to serialize the updates into one stream.
Update:
Here is a codesandbox with example: https://zpvy0.csb.app/
I tried to get as close to the real thing as possible, unfortunately i still can't reproduce the issue. It seems like react/useState is not the issue, as in the codesandbox it works reliable with 30+ requests triggered at once.
Update 2:
I have rewritten my code using the codesandbox version as base (re adding what other functionality/styling, etc was there). Now everything works perfectly.
Currently i have no idea what difference was causing it at the end.
If I'm understanding your issue correctly it sounds like the issue is that addDay and removeDay are called in quick succession and you are losing some state updates. You mention users clicking "to fast" so it may be the case that more than 1 state update is being enqueued. Since you are using plain updates if 2 updates are enqueued within the same render cycle the second update overwrites the first. If more get enqueued then each subsequent processed update overwrites the previous. Hopefully you get the idea here.
The resolution for this is to use functional state updates so each enqueued and processed update updates from the previous state, not the state the update was enqueued in. This means if multiple updates are enqueued in a render cycle each update/change is applied sequentially and the result aggregated state update is available for the next render cycle.
Functional Updates
If the new state is computed using the previous state, you can pass a
function to setState. The function will receive the previous value,
and return an updated value.
The previous state is an array and you are updating from that array when appending new day objects. It's a very minor tweak.
const addDay = async (day) => {
await makeRequest(day);
setDays(days => [...days, day]);
};
const removeDay = async (day) => {
await makeRequest(day);
setDays(days => days.filter((d) => d !== day));
};

Automatically calling action AFTER redux state is loaded

I have a app in which users can build a "Quote". So far I've been adhering to "idiomatic" redux (or something close to it) and it's been working out well.
However, I'm struggling to deal with a fairly simple scenario:
When the page is first opened, I fire an async LOAD event which retrieves info from the server needed to build the quote (products, inventory, previously saved line items, etc).
I need some way to be able to automatically add a specific line item(s) to the quote first it's first opened.
I've added a defaultLineItems property to my LOAD payload, but to fire the addLineItem(product, inventory, options) action, I need data from the productReducer, inventoryReducer, optionsReducer. The lineItemReducer could look at these defaultLineItems and try to set it's state appropriately, but that would require having to rewrite a lot of BL typically handled by the actions using data aggregated from reducer memorized "selectors" (EG: defaulting price, quantity, currency translation, etc)
I can think of a couple ways to achieve this, but they all seem somewhat hack-ish (IE storing a flag in the reducer that says I need to fire an action and then running it when my root component props update). It seems like a react component should not be responsible for this type thing.
What is the proper way to do something like this?
Seems there are a couple different ways this can be accomplished but for me the most balanced approach between simplicity and design was to use store.subscribe in conjunction with a reducer to track the last action(s).
At it's simplest, this would look something like this.
store.subscribe(function() {
let state = store.getState();
if(state.lastAction.type === ActionKeys.LOAD){
console.log('load action fired!');
}
})
Please be aware that firing an action from store.subscribe will cause recursion so you need to be selective.

React Redux - state undefined on first render

For my client I'm creating something like quiz web app in react with redux based on websockets (socket.io) with a huge, very unique data. No user interaction, just presentation layer. It works like this: I get websocket event with url to my layout and payload data, and then I render given url and fire redux action with data as argument, which becomes app's state. Simple as that. BUT I noticed that on first render initial state is loading, not given from websocket as argument to action. As I said data I get is huge and unique so I didn't want declare in reducer something like this:
pageData: {
assets: [],
questions: [],
details: []
And so on. It's much more complicated btw it's just an example. Instead of this I made something like this:
pageData: {}
And I was hoping that on view (using connect) I can get this data like this:
this.props.view.pageData.questions
But then it turned out that I can not get this because it's undefined on first render. So my questions are:
Is there a way to access to this data on first render without
declaring whole structure?
If not, should I reconstruct given data in reducer?
Should I then create reducers for each page (there are like over 20 views
with unique data)
Of course I can declare everything in reducers but I feel it's very hard to maintain so much data.
But you know, maybe I'm just too lazy and I should declare initial state for each page and this question does not have sense ;).
I think you may have a few options here:
Define fallback data in your components if undefined
Don't render your page (or components) until you have received the data
Define your initialState explicitly as you already suggested
All or most your components expect or should expect data of a certain kind and in a certain format. For this reason, laying out the structure beforehand (#3) seems to be most appropriate. Ask yourself this: would my app still display correctly if the format of the web socket event data changes?
To answer your questions specifically:
Is there a way to access to this data on first render without
declaring whole structure?
Yes, you could use the || operator in your bindings to fall back (#1) to an empty array or object or value. Example <MyComponent listOfItems={this.props.items || []}. This effectively creates an empty state, however, IMO this should be standardized in the reducer/store with initialState.
Should I then create reducers for each page[?]
Not necessarily a reducer for each page, but a store with all pertinent data to your application. It is hard to say for sure without knowing more about the architecture of your app, but keeping small, well defined chunks of information is generally easier than one big blob.
I strongly advocate defining your data beforehand. It might sound cumbersome at first, but it will pay off greatly and helps others understand what the app might look like with live data.
that's because you haven't added default case in reducer
default:
return state;

what is this difference between this flux action and this function call?

I could a have a flux action like this:
{type: 'KILL', payload: {target: 'ogre'}}
But I am not seeing what the difference is between having a method on a class People (wrapping the store) like this,
People.kill('ogre')
IF People is the only receiver of the action?
I see that the flux dispatcher gives me two advantages (possibly)
The "kill" method can be broadcast to multiple unknown receivers (good!)
The dispatcher gives me a handy place to log all action traffic (also good!)
These might be good things sure, but is there any other reasons that I am missing?
What I don't see is how putting the actions in the form of JSON objects, suddenly enforces or helps with "1-way" communication flow, which is what I read everywhere is the big advantage of having actions, and of flux.
Looks to me like I am still effectively sending a message back to the store, no matter how I perfume the pig. Sure the action is now going through a couple of layers of indirection (action creator, dispatcher) before it gets to the store, but unless I am missing something the component that sends that action for all practical purposes is updating whatever stores are listening for the kill message.
What I am missing here?
Again I know on Stack Overflow we can't ask too general a question, so I want to keep this very specific. The two snippets of code while having different syntax, appear to be semantically (except for the possibility of broadcasting to multiple stores) exactly the same.
And again if the only reason is that it enables broadcasting and enables a single point of flow for debug purposes, I am fine with that, but would like to know if there is some other thing about flux/the dispatcher I am missing?
The major features of the flux-style architecture are roughly the following:
the store is the single source of truth for application state
only actions can trigger mutation of the store's state
store state should not be mutated directly, i.e. via assigning object values, but by creating new objects via cloning/destructuring instead
Like a diet, using this type of architecture really doesn't work if you slip and go back to the old ways intermittently.
Returning to your example. The benefit for using the action here is not broadcasting or logging aspects, but simply the fact that the People class should only be able to either consume data from a store and express its wishes to mutate the state of said store with actions. Imagine for example that Elves want to sing to the the ogre and thus are interested in knowing the said ogre is still alive. At the same time the People want to be polite and do not wish to kill the ogre while it is being serenaded. The benefits of the flux-style architecture are clear:
class People {
kill(creature) {
if (creatureStore.getSerenadedCreature() !== creature)
store.dispatch({ type: 'KILL', payload: { target: creature } })
return `The ${creature} is being serenaded by those damn elves, let's wait until they've finished.`
}
}
class Elves {
singTo(creature) {
if (!creatureStore.getCreatures().includes(creature))
return store.dispatch({ type: 'SING_TO', payload: { target: creature } })
return `Oh no, the ${creature} has been killed... I guess there will be no serenading tonight..`
}
}
If the class People were to wrap the store, you'd need the Elves class to wrap the same store as well, creating two places where the same state would be mutated in one way or the other. Now imagine if there were 10 other classes that need access to that store and want to change it: adding those new features is becoming a pain because all those classes are now at the mercy of the other classes mutating the state from underneath them, forcing you to handle tons of edge cases not possibly even related to the business logic of those classes.
With the flux style architecture, all those classes will only consume data from the creatureStore and dispatch actions based on that state. The store handles reconciling the different actions with the state so that all of its subscribers have the right data at the right times.
The benefits of this pattern may not be evident when you only have a couple of stores that are consumed by one or two entities each. When you have tens (or hundreds) of stores with tens (or hundreds) of components consuming data from several stores each, this architecture saves you time and money by making it easier to develop new features without breaking existing ones.
Hope this wall-o-text helped to clarify!
What I don't see is how putting the actions in the form of JSON objects, suddenly enforces or helps with "1-way" communication flow, which is what I read everywhere is the big advantage of having actions, and of flux.
Looks to me like I am still effectively sending a message back to the store, no matter how I perfume the pig. Sure the action is now going through a couple of layers of indirection (action creator, dispatcher) before it gets to the store, but unless I am missing something the component that sends that action for all practical purposes is updating whatever stores are listening for the kill message.
What I am missing here?
Facebook Flux took the idea from the event driven GUI systems.
In there even if you move your mouse you get messages. This was called message loop then, and now we have actions dispatching.
Also, we have lists of subscribers inside stores.
And it is really the same principle in Redux where you have one store, while in Flux you may have multiple stores.
Now little mathematics. Having 2 components A and B you need to have just a few possible update chains A updates B and B update A, or self-update (non including in here the updates from outside of the app). This is the possible case.
With just three components we have much more possible chains.
And with even more components it gets complicated. So to suppress the exponential complexity of possible components interaction we have this Flux pattern which in nothing more than IDispatch, IObservable if you worked with these interfaces from some other programming languages. One would be for spitting the actions, and the other for entering the listener's chain that exists inside the store.
With this pattern, your React code will be organized in a different way than common React approach. You will not have to use React.Component state anymore. Instead, you will use the Store(s) that will hold the application state.
Your component can only show the desire to mutate the application state by dispatching the action. For instance: onClick may dispatch the action to increment the counter. The actions are objects with the property type: that is usually a string, and usually in upper case, but the action object may have many other props such as ID, value,...
Since the components are responsible for rendering based on the application state we need somehow to deliver them the application state. It may be via the props = store.getState() or we may use the context. But also check this.
Finally, it is even not forbidden that component uses the internal state (this.state) in case this has no impact on the application. You should recognize these cases.

How to avoid React re-renders when using reselect to compute derived state

I'm using the ultimate combination of React + Redux + Reselect + Immutable.js in my application. I like the idea of reselect because it lets me keep my state (maintained by the reducers) as simple as possible. I use a selector to calculate the actual state I need which is then fed to the React components.
The problem here is that a small change in once of the reducers causes the selectors to recalculate the whole derived output and as the result also the whole React UI is updated. My pure components don't work. It's slow.
Typical example: The first part of my data comes from server and is basically immutable. The second part is maintained by the client and is mutated using the redux actions. They are maintained by separate reducers.
I use a selector to merge both parts into a single list of Records which is then passed to the React components. But obviously, when I change a single thing in one of the objects, the whole list is regenerated and new instances of Records is created. And the UI is completely re-rendered.
Obviously running the selector every time is not exactly efficient but is still reasonably fast and I'd be willing to make that trade off (because it does make the code way simpler and cleaner). The problem is the actual rendering which is slow.
What I'd need to do would be to deep merge the new selector output with the old one because Immutable.js library is smart enough not to create new instances when nothing was changed. But as selectors are simple functions that do not have access to previous outputs, I guess it's not possible.
I assume that my current approach is wrong and I'd like to hear other ideas.
Probably the way to go would be to get rid of reselect in this case and move the logic into a hierarchy of reducers that would use incremental updates to maintain the desired state.
I solved my problem but I guess there is no right answer as it really depends on a specific situation. In my case, I decided to go with this approach:
One of the challenges that the original selector handled nicely was that the final information was compiled from many pieces that were delivered in an arbitrary order. If I decided to build up the final information in my reducers incrementally, I'd have to make sure to count with all possible scenarios (all possible orders in which the information pieces could arrive) and define transformations between all possible states. Whereas with reselect, I can simply take what I currently have and make something out of it.
To keep this functionality, I decided to move the selector logic into a wrapping parent reducer.
Okay, let's say that I have three reducers, A, B and C, and corresponding selectors. Each handles one piece of information. The piece could be loaded from server or it could originate from the user on the client side. This would be my original selector:
const makeFinalState(a, b, c) => (new List(a)).map(item =>
new MyRecord({ ...item, ...(b[item.id] || {}), ...(c[item.id] || {}) });
export const finalSelector = createSelector(
[selectorA, selectorB, selectorC],
(a, b, c) => makeFinalState(a, b, c,));
(This is not the actual code but I hope it makes sense. Note that regardless of the order in which the contents of individual reducers become available, the selector will eventually generate the correct output.)
I hope my problem is clear now. In case the content of any of those reducers changes, the selector is recalculated from scratch, generating completely new instances of all records which eventually results in complete re-renders of React components.
My current solution looks lite this:
export default function finalReducer(state = new Map(), action) {
state = state
.update('a', a => aReducer(a, action))
.update('b', b => bReducer(b, action))
.update('c', c => cReducer(c, action));
switch (action.type) {
case HEAVY_ACTION_AFFECTING_A:
case HEAVY_ACTION_AFFECTING_B:
case HEAVY_ACTION_AFFECTING_C:
return state.update('final', final => (final || new List()).mergeDeep(
makeFinalState(state.get('a'), state.get('b'), state.get('c')));
case LIGHT_ACTION_AFFECTING_C:
const update = makeSmallIncrementalUpdate(state, action.payload);
return state.update('final', final => (final || new List()).mergeDeep(update))
}
}
export const finalSelector = state => state.final;
The core idea is this:
If something big happens (i.e. I get a huge chunk of data from the server), I rebuild the whole derived state.
If something small happens (i.e. users selects an item), I just make a quick incremental change, both in the original reducer and in the wrapping parent reducer (there is a certain duplicity, but it's necessary to achieve both consistency and good performance).
The main difference from the selector version is that I always merge the new state with the old one. The Immutable.js library is smart enough not to replace the old Record instances with the new Record instances if their content is completely the same. Therefore the original instances are kept and as a result corresponding pure components are not re-rendered.
Obviously, the deep merge is a costly operation so this won't work for really large data sets. But the truth is that this kind of operations is still fast compared to React re-renders and DOM operations. So this approach can be a nice compromise between performance and code readability/conciseness.
Final note: If it wasn't for those light actions handled separately, this approach would be essentially equivalent to replacing shallowEqual with deepEqual inside shouldComponentUpdate method of pure components.
This kind of scenario can often be solved by refactoring how the UI is connected to the state. Let's say you have a component displaying a list of items: instead of connecting it to the already built list of items, you could connect it to a simple list of ids, and connect each individual item to its record by id. This way, when a record changes, the list of ids itself doesn't change and only the corresponding connected component is re-rendered.
If in your case, if the record is assembled from different parts of the state, the selector yielding individual records could itself be connected to the relevant parts of the state for this particular record.
Now, about the use of immutable.js with reselect: this combination works best if the raw parts of your state are already immutable.js objects. This way you can take advantage of the fact that they use persistent data structures, and the default memoization function from reselect works best. You can always override this memoization function, but feeling that a selector should access its previous return value if often a sign that it is in charge of data that should be hold in the state / or that it is gathering too much data at once, and that maybe more granular selectors could help.
It looks like you are describing a scenario very close to the one why I wrote re-reselect.
re-reselect is a small reselect wrapper, which initializes selectors on the fly using a memoized factory.
(Disclaimer: I'm the author of re-reselect).

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