Redux architecture for text editor: dealing with coupled state - javascript

I'm building an app with React/Redux that is in some ways similar to a text editor. It's not a text editor exactly, but it's the same general paradigm. There is a cursor for placing new items. Items can be added, selected, deleted, etc.
I'm struggling with the best way to structure my reducers in a way that is in keeping with the spirit of redux. I have separate state slices representing the selection state, the text itself, the cursor state, and other settings. I think the "redux" approach would be to have reducers for each of these state slices, independently mutating state in response to an action.
However, in a text editor these state slices are a lot more coupled than at first glance. When you press a key, sometimes a letter will be added at the location of the cursor, and the cursor will move forward. If text is selected, however, the selected text will be deleted first. If you are in "insert" mode, text to the right will be "consumed". Or maybe a modifier key was down, and text isn't added at all.
In other words, the different state slices are very coupled and what happens in one depends on the current state of the others.
I've read the "Beyond Combine Reducers" section in the Redux manual and know how to share state between slice reducers, but this seems inelegant if the end result is passing the entire state to every slice reducer. The other thing I don't like about his approach is that each reducer would have to look at the overall state and independently come to the same conclusion about what its correct response to a particular action should be. Is that what I should be doing or I should be structuring my state differently somehow?
The alternative of one centralized reducer telling the cursor, the selection state, the content, etc. how to mutate is easier conceptually but doesn't seem to scale well.
I've also read that many times coupled state is a sign that your state isn't minimal and that you should be restructuring and using memoized selectors. However that doesn't seem to be the case here. The position of the cursor is not derivable from the text, nor is the selection state.
Lastly, I've also considered Thunk middleware as this is something that I've seen suggested for handling multiple/more complex actions. I'm hesitant because it seems like it is more meant for asynchronous dispatch and this is not that.
I'd like to understand the correct approach for designing this type of app that is most in keeping with the "redux" design pattern and understand any tradeoffs there might be if there are multiple ways forward.

I wrote that "Structuring Reducers" doc section, so nice to see that people are at least reading it and finding it useful :)
You're right that the idiomatic intended approach for Redux reducer logic is small reducer functions, organized by slice of state, independently responding to the same actions. However, that's not a fixed requirement, and there are definitely times when it makes more sense to consolidate some of the logic into one place.
It's a bit hard to give absolute specific advice without seeing what your state structure is and exactly what problems you're trying to solve, but overall, you should feel free to structure your state and your reducer logic in whatever way makes the most sense for your application. If it works better to have some of that logic in a more centralized reducer function that updates several nested pieces of state at once, go for it!
As a couple other observations:
Per the Redux FAQ question on "sharing state across reducers", one approach is to put more information into the dispatched action. For example, rather than dispatching {type : "KEYSTROKE", key : "A"}, you could dispatch {type : "KEYSTROKE", key : "A", cursorPos : 12345, ctrl : true, alt : false}.
Also, while thunks are a good place for basic async logic, they are also useful for complex synchronous logic as well, including inspecting the current app state. I have a gist that demonstrates some common thunk use cases.
Lemme toss out a couple more resources that may be of general assistance to you:
My React/Redux links list has a section linking to articles on writing reducers
My "Practical Redux" tutorial series demonstrates a few variations on reducer structures, including the post Practical Redux, Part 7: Form Change Handling, Data Editing, and Feature Reducers.
(As a side note, I'm also currently working on a blog post that will discuss what actual technical limitations Redux requires and why, vs how you are "intended" to use Redux, vs how it's possible to use Redux. Will take me a while to finish it, but keep an eye on my blog if you're interested.)
Finally, if you'd like to discuss things further, the Reactiflux chat channels on Discord are a great place to hang out, ask questions, and learn. The invite link is at https://www.reactiflux.com . Please feel free to drop by there and ask questions - I'm usually on there evenings US time, but there's always a bunch of people hanging out happy to discuss things.

Seems you are taking a huge task; probably you already know that, but creating a text editor from scratch is not an easy task.
Did you evaluated using an existing software?
Recently I used with success the super powerful Codemirror and integrated it with a React.js application. Codemirror already manage the concept of state of the document in a great way.
That means:
Codemirror instance fully manage the editor (AKA: the document)
React environment is attached to the document through callbacks and events.
If Codemirror doesn't fit your needs, take a look at it's code and internals description.

Related

Vuejs: distribute code across multiple components or everything into a single component?

So I've played a lot with Vue, and now that my app has become large, I am having doubts about how to organize it.
I understand components and that they make sense when you need to re-use them many time on the same page, for example, a "custom select box" component, that will likely be needed in many places.
But what about components that will only have once instance? Example: a administration dashboard interface that has 3 areas: a sidebar with some navigation, a main area with stuff you can edit, based on what is selected in the navigation, another sidebar with stuff related to the main area. Do all these need to be separate components? Because I don't see any benefit of doing that if there is only one instance of each on the page. On the other side, if I stuff all the code in a single "app" component, I could simplify some of the code (less variables)
Summary - typical reasons for using components:
Maintainability.
Rendering performance via component boundaries.
Loading performance via chunking.
If you find that using fewer components improves maintainability then that's fine. It may well be the correct design for your application.
Verbose version below.
The primary reason for using components is to improve maintainability.
Components that are reused in many places such as a select-box are obviously easier to maintain than repeating the same code over and over. However, it is worth considering why that is. It's not just that duplication makes it more difficult to make a change to all of the select-boxes. The other key benefit of using a component is that the extra level of abstraction can reduce mental overhead.
Let's say someone trying to maintain the code sees something like this (pseudo-code):
<select-box :some-prop="blah">
<select-box-option v-for="something" />
</select-box>
Immediately it's clear that this is a select-box. All the gory implementation details of the select-box are hidden away and we don't need to worry about them. By looking at the props, child components and events we can quickly deduce what data goes back-and-forth between the parent component and the select-box. This is just separation of concerns.
This benefit also applies to components that aren't reused. Let's take the sidebar example. We might see this in the template for our main component:
<nav-sidebar #navigate="onNavigate" />
The component's name allows us to quickly identify it as the sidebar. If our current task doesn't involve the sidebar then we can just skip over that bit of the template. As the code has been moved off to a different file we have no difficulty establishing which bits of the code are part of the sidebar and which bits aren't.
In this example the nav-sidebar doesn't have any props and only has a single event. From that we can start to draw some conclusions about how these components interact. It would seem that the nav-sidebar doesn't need anything passed from the main component, it could quite happily live stand-alone. If we need to debug a problem with data flowing the other way we'd almost certainly start with onNavigate.
We couldn't start making deductions like these anything like as quickly if everything was mangled together into one, big component.
Of course it could be that our deductions are wrong. It could be that the nav-sidebar does some horrible things involving $parent to grab data from its parent component. However, that just illustrates why using such techniques is considered bad practice. Maintainable code should allow developers to jump to reasonable conclusions based on the abstractions that appear to be in place.
But it is possible to go too far the other way.
A good abstraction allows you to free up some mental capacity by hiding details behind a label. A poor abstraction adds mental overhead by hiding the code you want to see behind some indirection. Add to that the difficulty of naming things and the burden of extra glue code and you may well be better off just ditching the extra layers and keeping everything inline.
The other thing that can go wrong is splitting components up in the wrong way. Separating concerns requires clean partitions of those concerns. Chop things up slightly differently and you end up with a single concern being spread across multiple components and the resulting mess is typically worse than if you hadn't bothered splitting things up at all.
Vue allows you to split up your JavaScript code in a number of ways, components being just one. Separate .js files, plugins, filters, Vuex, mixins, etc.. There are several options available to you.
Templates, on the other hand, can only really be split up by using components. If you want to break a huge template down into more manageable chunks then components are really the only way to go.
This brings us to another key reason for using components.
A template is compiled down into a render function. When that render function is run it registers reactive dependencies, just like a computed property. If any of those dependencies changes it will trigger a re-render. That runs the whole render function again. Even if that doesn't result in any changes to the DOM it will require the generation of all the relevant VNodes and the diffing algorithm will need to check all of them.
Component boundaries are also rendering boundaries. Each component makes its own decision about whether or not to render based on whether its dependencies have changed.
So, taking the nav-sidebar example, let's say something changes in the nav-sidebar so that it needs a rendering update. If the nav-sidebar is a separate component then it just needs to run the template/render function for that component. If instead we bundle all the nav-sidebar code into the main template then we'll have to re-render everything.
Vue also has support for lazily loaded components as a way to reduce the initial load time of the page. The idea is that many applications have large sections, such as admin interfaces, that aren't relevant to most users. Rather than incurring the overhead of downloading all of those components you can split the components into chunks and download the chunks when they're needed. This is usually implemented via the Vue router configuration.
Chunking aside, the typical way to use the router is to have separate components for the different pages. While in theory it is possible to use the same component for all routes that is unlikely to lead to something more maintainable. I would add that the definition of 'page' is a little fuzzy here but in most applications it's clear what constitutes a different page, resulting in a different component.
No tome on creating code monoliths would be complete without some mention of testing. Unit testing should be thought of as a form of reuse and a particularly extreme form at that. Tests have an unrelenting knack for exposing the mess of spaghetti that hides behind what you thought was a nice, clean design. I'm not going to pontificate on testing but suffice it to say that you won't be able to write unit tests unless you split things into suitable units.
Another key feature of a component is that it has its own set of properties. Its own data and its own computed properties. This sounds obvious but it gains significance when you consider looping via v-for.
<div v-for="item in items">...</div>
The example above uses inline elements instead of components. Any state can only live on the parent. That state needs to be held for each loop item, so we may end up with multiple arrays holding different aspects of the state. Computed properties are similarly difficult to implement when working with loops. We typically end up using methods instead:
<div v-for="item in items" :class="getClassesFor(item)">...</div>
Now consider the component version:
<my-component v-for="item in items" :item="item" />
Each my-component can hold its own state. Let's say, for example, that my-component has expand/collapse functionality. That can now be stored in a local data property within each instance. Likewise each instance will have its own computed properties.
Arguably this is just reuse as the v-for creates multiple instances. However, given we're specifically introducing a new component just to provide a form of property scope, I think it warrants a special mention.
I personally like to have 3 types of components.
Reusable system component. These are used for generic layouts, custom buttons, custom select box ... They are meant to be reused multiple times in the code and be very versatile.
Page/View component. The route usually routes to a specific component. This component is some kind of assembly of multiple components. The distinction allows to quickly identify the "page" of the application.
Logical division. These are the hardest to find. I tend to isolate things that are not related to each other. For instance, a footer may not be reuse but a modification in the footer should concern only the footer. Other examples are the navbar, the menu, each section of an admin. These components should be reusable as much as possible but sometimes they will be specific.
Another example: A comment system. A "comment" would be a component of type 3. A "comment thread" display would be another component of type 3 that use the "comment" component. A page would exist for the subject of a comments thread and would be of type 2.
Note that each component of type 3 and 2 may use other components of other types.
If I want to change the display arrangement of the comment thread I only have to change the "comment thread" component.
Vue components uses not only for re-use. You may split components into logical blocks. SPA for example. You can create grid based on vue components.
Here is the reason why you need to split codes even it is used only once.
With hundreds or thousands of lines of code, it's no question that
splitting code in different files can help make it more manageable.
Although, this can quickly turn into a complicated mess if the
splitting isn't thought out beforehand.
The more you split codes, the clearer it becomes.
It does not only work for Vue JS but also works for almost programming languages.

React-Redux How to improve performance?

I am using the react-redux for one of my app, The design is quite difficult and performance required is very high. its actually wyswyg builder.
We have been using the react from last 2 months, Then we moved to the react-redux for the separation of code and improve maitainance, code readability and the parent-child approach headache ofc.
So, I have an array which has quite complex structure
This is how my state look a like:
const initialState = {
builder:{},
CurrentElementName:"",
CurrentSlideName:"",
.......
}
As redux recommend to have less data in particular object as possible, I have another 8-9 reducer which are divided from the main state.
My problem: builder object is very complex which has almost 3-4 levels down, objects and arrays, this all are managed runtime.
So, on the componentdidmount my application will call the server get the data and fill the builder:{}
builder:{
slidedata:[{index:0,controName:'button',....},{index:0,controName:'slide',....}],
currentSlideName:'slide1',
currentElementName:'button1'
}
This builder object is quite complex and depends on the user actions like drag and drop, changing the property, changing events, changing position this builder object is being changed by the reducer
let clonedState= JSON.parse(JSON.stringify(state));
//doing other operations
Every time some thing changes this object needs to perform certain complex operations, for ex, adding the new slide will do certain operations and add the slide to the current array called slidedata.
What is the best practice to fast this things up? am I doing something wrong?
I am not sure what is the wrong in this code, and as redux recommend I can not use the flat structure for this particular array as its managed run-time.
I am sure that component has the data which the component wants.
Is there any way to handle the big data? This iterations and changing the state is killing my performance.
Based on my current experience with React-Redux framework, Re-select and ImmutableJS make a perfect combination for your requirement.
Re-Select uses memoization technique on Javascript objects and have list of API's specifically dealing with these kind of large set of Javascript objects thus improving performance. Read the docs.
Note: One should wisely read the documentation before using this setup to churn the best of these tools.
You can either create your own boilerplate code using above libraries or use the one which i am currently using in my project.
https://www.reactboilerplate.com/
This boilerplate is specifically designed for performance. You can customize it based on your needs.
Hope this helps!

Redux - Modeling state of a complex graph and triggering multiple updates and side-effects in response to a single action

Problem
I am trying to design webapp with a fairly complex state, where many single actions should trigger multiple changes and updates across numerous components, including fetching and displaying data asynchronously from external endpoints.
Some context and background:
I am building a hybrid cytoscape.js / redux app for modeling protein interactions using graphs.
My Redux store needs to hold a representation of the graph (a collection of node and edge objects), as well as numerous filtering parameters that can be set by the user (i.e only display nodes that contain a certain value, etc).
The current implementation uses React.js to manage all the state and as the app grew it became quite monolithic, hard to reason about and debug.
Considerations and questions
Having never used Redux before , I'm struggling a bit when trying to conceptually design the new implementation. Specifically, I have the following questions / concerns:
Cytoscape.js is an isolated component since it's directly manipulating the DOM. It expects the state (specifically the node and edge collections) to be of a certain shape, which is nested and a little hard to handle. Since every update to any node or edge object should be reflected graphically in cytoscape, should I mirror the shape it expects in my Redux store, or should I transform it every time I make an update? If so, what would be a good place to do it? mapStateToProps or inside a reducer?
Certain events, such as selecting nodes and/or edges, crate multiple side-effects across the entire app (data is fetched asynchronously from the server, other data is extracted from the selection and is transformed / aggregated, some of it derived and some of it from external api calls). I'm having trouble wrapping my head around how I should handle these changes. More specifically, let's say a SELECTION_CHANGE action is fired. Should it contain the selected objects, or just their IDs? I'm guessing IDs would be less taxing from a performance point. More importantly, how should I handle the cascade of updates the SELECTION_CHANGE actions requires? A single SELECTION_CHANGE action should trigger changes in multiple parts of the UI and state tree. Meaning triggering multiple actions across different reducers. What would be a good way to batch / queue / trigger multiple actions depending on SELECTION_CHANGE?
The user needs to be able to filter and manipulate the graph according to arbitrary predicates. More specifically, he should be able to permanently delete \ add nodes and edges, and also restrict the view to a particular subset of the graph. In other words, some changes are permanent (deleting \ adding or otherwise editing the graph) while others relate only to what is shown (for example, showing only nodes with expression levels above a certain threshold, etc). Should I keep a separate, "filtered" copy of the graph in my state tree, or should I calculate it on the fly for every change in the filtering parameters? And as before, if so, where would be a good place to perform these filtering actions: mapStateToProps, reducers or someplace else I haven't thought of?
I'm hoping these high-level and abstract questions are descriptive enough of what I'm trying to achieve, and if not I'll be happy to elaborate.
The recommended approach to Redux state shape is to keep your state as minimal as possible, and derive data from that as needed (usually in selector functions, which can be called in a component's mapState and in other locations such as thunk action creators or sagas). For nested/relational data, it works best if you store it in a normalized structure, and denormalize it as needed.
While what you put into your actions is up to you, I generally prefer to keep them fairly minimal. That means doing lookups of necessary items and their IDs in an action creator, and then looking up the data and doing necessary work in a reducer. As for the reducer handling, there's several ways to approach it. If you're going with a "combined slice reducers" approach, the combineReducers utility will give each slice reducer a chance to respond to a given action, and update its own slice as needed. You can also write more complex reducers that operate at a higher level in the state tree, and do all the nested update logic yourself as needed (this is more common if you're using a "feature folder"-type project structure). Either way, you should be able to do all your updating for a single logical operation with one dispatched action, although at times you may want to dispatch multiple consecutive actions in a row to perform a higher-level operation (such as UPDATE_ITEM -> APPLY_EDITS -> CLOSE_MODAL to handle clicking the "OK" button on an editing popup window).
I'd encourage you to read through the Redux docs, as they address many of these topics, and point to other relevant information. In particular, you should read the new Structuring Reducers section. Be sure to read through the articles linked in the "Prerequisite Concepts" page. The Redux FAQ also points to a great deal of relevant info, particularly the Reducers, Organizing State, Code Structure, and Performance categories.
Finally, a couple other relevant links. I keep a big list of links to high-quality tutorials and articles on React, Redux, and related topics, at https://github.com/markerikson/react-redux-links . Lots of useful info linked from there. I also am a big fan of the Redux-ORM library, which provides a very nice abstraction layer over managing normalized data in your Redux store without trying to change what makes Redux special.

Why is immutability so important (or needed) in JavaScript?

I am currently working on React JS and React Native frameworks. On the half way road I came across Immutability or the Immutable-JS library, when I was reading about Facebook's Flux and Redux implementation.
The question is, why is immutability so important? What is wrong in mutating objects? Doesn't it make things simple?
Giving an example, let us consider a simple News reader app with the opening screen being a list view of news headlines.
If I set say an array of objects with a value initially I can't manipulate it. That's what immutability principle says, right? (Correct me if I am wrong.)
But, what if I have a new News object that has to be updated? In usual case, I could have just added the object to the array.
How do I achieve in this case? Delete the store and recreate it?
Isn't adding an object to the array a less expensive operation?
I have recently been researching the same topic. I'll do my best to answer your question(s) and try to share what I have learned so far.
The question is, why is immutability so important? What is wrong in
mutating objects? Doesn't it make things simple?
Basically it comes down to the fact that immutability increases predictability, performance (indirectly) and allows for mutation tracking.
Predictability
Mutation hides change, which create (unexpected) side effects, which can cause nasty bugs. When you enforce immutability you can keep your application architecture and mental model simple, which makes it easier to reason about your application.
Performance
Even though adding values to an immutable Object means that a new instance needs to be created where existing values need to be copied and new values need to be added to the new Object which cost memory, immutable Objects can make use of structural sharing to reduce memory overhead.
All updates return new values, but internally structures are shared to
drastically reduce memory usage (and GC thrashing). This means that if
you append to a vector with 1000 elements, it does not actually create
a new vector 1001-elements long. Most likely, internally only a few
small objects are allocated.
You can read more about this here.
Mutation Tracking
Besides reduced memory usage, immutability allows you to optimize your application by making use of reference- and value equality. This makes it really easy to see if anything has changed. For example a state change in a react component. You can use shouldComponentUpdate to check if the state is identical by comparing state Objects and prevent unnecessary rendering.
You can read more about this here.
Additional resources:
The Dao of Immutability
Immutable Data Structures and JavaScript
Immutability in JavaScript
If I set say an array of objects with a value initially. I can't
manipulate it. That's what immutability principle says, right?(Correct
me if I am wrong). But, what if I have a new News object that has to
be updated? In usual case, I could have just added the object to the
array. How do I achieve in this case? Delete the store & recreate it?
Isn't adding an object to the array a less expensive operation?
Yes this is correct. If you're confused on how to implement this in your application I would recommend you to look at how redux does this to get familiar with the core concepts, it helped me a lot.
I like to use Redux as an example because it embraces immutability. It has a single immutable state tree (referred to as store) where all state changes are explicit by dispatching actions which are processed by a reducer that accepts the previous state together with said actions (one at a time) and returns the next state of your application. You can read more about it's core principles here.
There is an excellent redux course on egghead.io where Dan Abramov, the author of redux, explains these principles as follows (I modified the code a bit to better fit the scenario):
import React from 'react';
import ReactDOM from 'react-dom';
// Reducer.
const news = (state=[], action) => {
switch(action.type) {
case 'ADD_NEWS_ITEM': {
return [ ...state, action.newsItem ];
}
default: {
return state;
}
}
};
// Store.
const createStore = (reducer) => {
let state;
let listeners = [];
const subscribe = (listener) => {
listeners.push(listener);
return () => {
listeners = listeners.filter(cb => cb !== listener);
};
};
const getState = () => state;
const dispatch = (action) => {
state = reducer(state, action);
listeners.forEach( cb => cb() );
};
dispatch({});
return { subscribe, getState, dispatch };
};
// Initialize store with reducer.
const store = createStore(news);
// Component.
const News = React.createClass({
onAddNewsItem() {
const { newsTitle } = this.refs;
store.dispatch({
type: 'ADD_NEWS_ITEM',
newsItem: { title: newsTitle.value }
});
},
render() {
const { news } = this.props;
return (
<div>
<input ref="newsTitle" />
<button onClick={ this.onAddNewsItem }>add</button>
<ul>
{ news.map( ({ title }) => <li>{ title }</li>) }
</ul>
</div>
);
}
});
// Handler that will execute when the store dispatches.
const render = () => {
ReactDOM.render(
<News news={ store.getState() } />,
document.getElementById('news')
);
};
// Entry point.
store.subscribe(render);
render();
Also, these videos demonstrate in further detail how to achieve immutability for:
Arrays
Objects
A Contrarian View of Immutability
TL/DR: Immutability is more a fashion trend than a necessity in JavaScript. If you are using React it does provide a neat work-around to some confusing design choices in state management. However in most other situations it wont add enough value over the complexity it introduces, serving more to pad up a resume than to fulfill an actual client need.
Long answer: read below.
Why is immutability so important(or needed) in javascript?
Well, I'm glad you asked!
Some time ago a very talented guy called Dan Abramov wrote a javascript state management library called Redux which uses pure functions and immutability. He also made some really cool videos that made the idea really easy to understand (and sell).
The timing was perfect. The novelty of Angular was fading, and JavaScript world was ready to fixate on the latest thing that had the right degree of cool, and this library was not only innovative but slotted in perfectly with React which was being peddled by another Silicon Valley powerhouse.
Sad as it may be, fashions rule in the world of JavaScript. Now Abramov is being hailed as a demigod and all us mere mortals have to subject ourselves to the Dao of Immutability... Wether it makes sense or not.
What is wrong in mutating objects?
Nothing!
In fact programmers have been mutating objects for er... as long as there has been objects to mutate. 50+ years of application development in other words.
And why complicate things? When you have object cat and it dies, do you really need a second cat to track the change? Most people would just say cat.isDead = true and be done with it.
Doesn't (mutating objects) make things simple?
YES! .. Of course it does!
Specially in JavaScript, which in practice is most useful used for rendering a view of some state that is maintained elsewhere (like in a database).
What if I have a new News object that has to be updated? ... How do I achieve in this case? Delete the store & recreate it? Isn't adding an object to the array a less expensive operation?
Well, you can go the traditional approach and update the News object, so your in-memory representation of that object changes (and the view displayed to the user, or so one would hope)...
Or alternatively...
You can try the sexy FP/Immutability approach and add your changes to the News object to an array tracking every historical change so you can then iterate through the array and figure out what the correct state representation should be (phew!).
I am trying to learn what's right here. Please do enlighten me :)
Fashions come and go buddy. There are many ways to skin a cat.
I am sorry that you have to bear the confusion of a constantly changing set of programming paradigms. But hey, WELCOME TO THE CLUB!!
Now a couple of important points to remember with regards to Immutability, and you'll get these thrown at you with the feverish intensity that only naivety can muster.
1) Immutability is awesome for avoiding race conditions in multi-threaded environments.
Multi-threaded environments (like C++, Java and C#) are guilty of the practice of locking objects when more than one thread wants to change them. This is bad for performance, but better than the alternative of data corruption. And yet not as good as making everything immutable (Lord praise Haskell!).
BUT ALAS! In JavaScript you always operate on a single thread. Even web workers (each runs inside a separate context). So since you can't have a thread related race condition inside your execution context (all those lovely global variables and closures), the main point in favour of Immutability goes out the window.
(Having said that, there is an advantage to using pure functions in web workers, which is that you'll have no expectations about fiddling with objects on the main thread.)
2) Immutability can (somehow) avoid race conditions in the state of your app.
And here is the real crux of the matter, most (React) developers will tell you that Immutability and FP can somehow work this magic that allows the state of your application to become predictable.
Of course this doesn’t mean that you can avoid race conditions in the database, to pull that one off you’d have to coordinate all users in all browsers, and for that you’d need a back-end push technology like WebSockets (more on this below) that will broadcast changes to everyone running the app.
Nor does it mean that there is some inherent problem in JavaScript where your application state needs immutability in order to become predictable, any developer that has been coding front-end applications before React would tell you this.
This rather confusing claim simply means that if you use React your application is prone to race conditions, but that immutability allows you to take that pain away. Why? Because React is special.. its been designed first and foremost as a highly optimised rendering library with state management subverted to that aim, and thus component state is managed via an asynchronous chain of events (aka "one-way data binding") that optimize rendering but you have no control over and rely on you remembering not to mutate state directly...
Given this context, its easy to see how the need for immutability has little to do with JavaScript and a lot to do with React: if have a bunch of inter-dependent changes in your spanking new application and no easy way to figure out what your state is currently at, you are going to get confused, and thus it makes perfect sense to use immutability to track every historical change.
3) Race conditions are categorically bad.
Well, they might be if you are using React. But they are rare if you pick up a different framework.
Besides, you normally have far bigger problems to deal with… Problems like dependency hell. Like a bloated code-base. Like your CSS not getting loaded. Like a slow build process or being stuck to a monolithic back-end that makes iterating almost impossible. Like inexperienced devs not understanding whats going on and making a mess of things.
You know. Reality. But hey, who cares about that?
4) Immutability makes use of Reference Types to reduce the performance impact of tracking every state change.
Because seriously, if you are going to copy stuff every time your state changes, you better make sure you are smart about it.
5) Immutability allows you to UNDO stuff.
Because er.. this is the number one feature your project manager is going to ask for, right?
6) Immutable state has lots of cool potential in combination with WebSockets
Last but not least, the accumulation of state deltas makes a pretty compelling case in combination with WebSockets, which allows for an easy consumption of state as a flow of immutable events...
Once the penny drops on this concept (state being a flow of events -- rather than a crude set of records representing the latest view), the immutable world becomes a magical place to inhabit. A land of event-sourced wonder and possibility that transcends time itself. And when done right this can definitely make real-time apps easier to accomplish, you just broadcast the flow of events to everyone interested so they can build their own representation of the present and write back their own changes into the communal flow.
But at some point you wake up and realise that all that wonder and magic do not come for free. Unlike your eager colleagues, your stakeholders (yea, the people who pay you) care little about philosophy or fashion and a lot about the money they pay to build a product they can sell. And the bottom line is that its harder to code for immutability and easier to break it, plus there is little point having an immutable front-end if you don't have a back-end to support it. When (and if!) you finally convince your stakeholders that you should publish and consume events via a push techology like WebSockets, you find out what a pain it is to scale in production.
Now for some advice, should you choose to accept it.
A choice to write JavaScript using FP/Immutability is also a choice to make your application code-base larger, more complex and harder to manage. I would strongly argue for limiting this approach to your Redux reducers, unless you know what you are doing... And IF you are going to go ahead and use immutability regardless, then apply immutable state to your whole application stack, and not just the client-side. After all, there is little point having an immutable front-end, and then connect it to a database where all records have a single mutable version... you just go back to the same problems you were trying to get away from!
Now, if you are fortunate enough to be able to make choices in your work, then try and use your wisdom (or not) and do what's right by the person who is paying you. You can base this on your experience, on your gut, or whats going on around you (admittedly if everyone is using React/Redux then there a valid argument that it will be easier to find a resource to continue your work).. Alternatively, you can try either Resume Driven Development or Hype Driven Development approaches. They might be more your sort of thing.
In short, the thing to be said for immutability is that it will make you fashionable with your peers, at least until the next craze comes around, by which point you'll be glad to move on.
Now after this session of self-therapy I'd like to point out that I've added this as an article in my blog => Immutability in JavaScript: A Contrarian View. Feel free to reply in there if you have strong feelings you'd like to get off your chest too ;).
The question is, why is immutability so important? What is wrong in mutating objects? Doesn't it make things simple?
Actually, the opposite is true: mutability makes things more complicated, at least in the long run. Yes, it makes your initial coding easier because you can just change things wherever you want, but when your program goes bigger it becomes a problem – if a value changed, what changed it?
When you make everything immutable, it means data can't be changed by surprise any more. You know for certain that if you pass a value into a function, it can't be changed in that function.
Put simply: if you use immutable values, it makes it very easy to reason about your code: everyone gets a unique* copy of your data, so it can't futz with it and break other parts of your code. Imagine how much easier this makes working in a multi-threaded environment!
Note 1: There is a potential performance cost to immutability depending on what you're doing, but things like Immutable.js optimise as best they can.
Note 2: In the unlikely event you weren't sure, Immutable.js and ES6 const mean very different things.
In usual case, I could have just added the object to the array. How do I achieve in this case? Delete the store & recreate it? Isn't adding an object to the array a less expensive operation? PS: If the example is not the right way to explain immutability, please do let me know what's the right practical example.
Yes, your news example is perfectly good, and your reasoning is exactly right: you can't just amend your existing list, so you need to create a new one:
var originalItems = Immutable.List.of(1, 2, 3);
var newItems = originalItems.push(4, 5, 6);
Although the other answers are fine, to address your question about a practical use case (from the comments on the other answers) lets step outside your running code for a minute and look at the ubiquitous answer right under your nose: git. What would happen if every time you pushed a commit you overwrote the data in the repository?
Now we're in to one of the problems that immutable collections face: memory bloat. Git is smart enough to not simply make new copies of files every time you make a change, it simply keeps track of the diffs.
While I don't know much about the inner workings of git, I can only assume it uses a similar strategy to that of libraries you reference: structural sharing. Under the hood the libraries use tries or other trees to only track the nodes that are different.
This strategy is also reasonably performant for in-memory data structures as there are well-known tree-operation algorithms that operate in logarithmic time.
Another use case: say you want an undo button on your webapp. With immutable representations of your data, implementing such is relatively trivial. But if you rely on mutation, that means you have to worry about caching the state of the world and making atomic updates.
In short, there's a price to pay for immutability in runtime performance and the learning curve. But any experienced programmer will tell you that debugging time outweighs code-writing time by an order of magnitude. And the slight hit on runtime performance is likely outweighed by the state-related bugs your users don't have to endure.
The question is, why is immutability so important? What is wrong in mutating objects? Doesn't it make things simple?
About mutability
Nothing is wrong in mutability from technical point of view. It is fast, it is re-using the memory. Developers are use to it from the beginning (as I remember it). Problem exists in the use of mutability and troubles which this use can bring.
If object is not shared with anything, for example exists in the scope of the function and is not exposed to the outside, then it is hard to see benefits in immutability. Really in this case it is no sense to be immutable. The sense of immutability starts when something is shared.
Mutability headache
Mutable shared structure can easily create many pitfalls. Any change in any part of the code with access to the reference has impact to other parts with visibility of this reference. Such impact connects all parts together, even when they should not be aware of different modules. Mutation in one function can crash totally different part of the app. Such thing is a bad side effect.
Next often problem with mutation is corrupted state. Corrupted state can happen when mutation procedure fails in the middle, and some fields were modified and some not.
What’s more, with mutation it is hard to track the change. Simple reference check will not show the difference, to know what changed some deep check needs to be done. Also to monitor the change some observable pattern needs to be introduced.
Finally, mutation is reason of the trust deficit. How you can be sure that some structure has wanted value, if it can be mutated.
const car = { brand: 'Ferrari' };
doSomething(car);
console.log(car); // { brand: 'Fiat' }
As above example shows, passing mutable structure always can finish by having different structure. Function doSomething is mutating the attribute given from outside. No trust for the code, you really don't know what you have and what you will have. All these problems take place because: Mutable structures are representing pointers to the memory.
Immutability is about values
Immutability means that change is not done on the same object,structure, but change is represented in new one. And this is because reference represents value not only memory pointer. Every change creates new value and doesn't touch the old one. Such clear rules gives back the trust and code predictability. Functions are safe to use because instead of mutation, they deal with own versions with own values.
Using values instead of memory containers gives certainty that every object represents specific unchangeable value and it is safe to use it.
Immutable structures are representing values.
I am diving even more into the subject in medium article - https://medium.com/#macsikora/the-state-of-immutability-169d2cd11310
Why is immutability so important(or needed) in JavaScript?
Immutability can be tracked in different contexts, but most important would be to track it against the application state and against the application UI.
I will consider the JavaScript Redux pattern as very trendy and modern approach and because you mentioned that.
For the UI we need to make it predictable.
It will be predictable if UI = f(application state).
Applications (in JavaScript) do change the state via actions implemented using the reducer function.
The reducer function simply takes the action and the old state and returns the new state, keeping the old state intact.
new state = r(current state, action)
The benefit is: you time-travel the states since all the state objects are saved, and you can render the app in any state since UI = f(state)
So you can undo/redo easily.
Happens to be creating all these states can still be memory efficient, an analogy with Git is great, and we have the similar analogy in Linux OS with symbolic links (based on the inodes).
Another benefit of Immutability in Javascript is that it reduces Temporal Coupling, which has substantial benefits for design generally. Consider the interface of an object with two methods:
class Foo {
baz() {
// ....
}
bar() {
// ....
}
}
const f = new Foo();
It may be the case that a call to baz() is required to get the object in a valid state for a call to bar() to work correctly. But how do you know this?
f.baz();
f.bar(); // this is ok
f.bar();
f.baz(); // this blows up
To figure it out you need to scrutinise the class internals because it is not immediately apparent from examining the public interface. This problem can explode in a large codebase with lots of mutable state and classes.
If Foo is immutable then this is no longer a problem. It is safe to assume we can call baz or bar in any order because the inner state of the class cannot change.
Once upon a time, there was a problem with data synchronization between threads. This problem was a great pain, there were 10+ solutions. Some people tried to solve it radically. It was a place where functional programming was born. It is just like Marxism. I couldn't understand how Dan Abramov sold this idea into JS, because it is single threaded. He is a genius.
I can give a small example. There is an attribute __attribute__((pure)) in gcc. Compilers tries to solve whether your function is pure or not if you won't declear it specially. Your function can be pure even your state is mutable. Immutability is just a one of 100+ ways to guarantee that you function will be pure. Actually 95% of your functions will be pure.
You shouldn't use any limitations (like immutability) if you actually don't have a serious reason. If you want to "Undo" some state, you can create transactions. If you want to simplify communications you can send events with immutable data. It is up to you.
I am writing this message from post marxism republic. I am sure that radicalization of any idea is a wrong way.
A Different Take...
My other answer addresses the question from a very practical standpoint, and I still like it. I've decided to add this as another answer rather than an addendum to that one because it is a boring philosophical rant which hopefully also answers the question, but doesn't really fit with my existing answer.
TL;DR
Even in small projects immutability can be useful, but don't assume that because it exists it's meant for you.
Much, much longer answer
NOTE: for the purpose of this answer I'm using the word 'discipline' to mean self-denial for some benefit.
This is similar in form to another question: "Should I use Typescript? Why are types so important in JavaScript?". It has a similar answer too. Consider the following scenario:
You are the sole author and maintainer of a JavaScript/CSS/HTML codebase of some 5000 lines. Your semi-technical boss reads something about Typescript-as-the-new-hotness and suggests that we may want to move to it but leaves the decision to you. So you read about it, play with it, etc.
So now you have a choice to make, do you move to Typescript?
Typescript has some compelling advantages: intellisense, catching errors early, specifying your APIs upfront, ease of fixing things when refactoring breaks them, fewer tests. Typescript also has some costs: certain very natural and correct JavaScript idioms can be tricky to model in it's not-especially-powerful type system, annotations grow the LoC, time and effort of rewriting existing codebase, extra step in the build pipeline, etc. More fundamentally, it carves out a subset of possible correct JavaScript programs in exchange for the promise that your code is more likely to be correct. It's arbitrarily restrictive. That's the whole point: you impose some discipline that limits you (hopefully from shooting yourself in the foot).
Back to the question, rephrased in the context of the above paragraph: is it worth it?
In the scenario described, I would contend that if you are very familiar with a small-to-middling JS codebase, that the choice to use Typescript is more aesthetic than practical. And that's fine, there's nothing wrong with aesthetics, they just aren't necessarily compelling.
Scenario B:
You change jobs and are now a line-of-business programmer at Foo Corp. You're working with a team of 10 on a 90000 LoC (and counting) JavaScript/HTML/CSS codebase with a fairly complicated build pipeline involving babel, webpack, a suite of polyfills, react with various plugins, a state management system, ~20 third-party libraries, ~10 internal libraries, editor plugins like a linter with rules for in-house style guide, etc. etc.
Back when you were 5k LoC guy/girl, it just didn't matter that much. Even documentation wasn't that big a deal, even coming back to a particular portion of the code after 6 months you could figure it out easily enough. But now discipline isn't just nice but necessary. That discipline may not involve Typescript, but will likely involve some form of static analysis as well as all the other forms of coding discipline (documentation, style guide, build scripts, regression testing, CI). Discipline is no longer a luxury, it is a necessity.
All of this applied to GOTO in 1978: your dinky little blackjack game in C could use GOTOs and spaghetti logic and it just wasn't that big a deal to choose-your-own-adventure your way through it, but as programs got bigger and more ambitious, well, undisciplined use of GOTO could not be sustained. And all of this applies to immutability today.
Just like static types, if you are not working on a large codebase with a team of engineers maintaining/extending it, the choice to use immutability is more aesthetic than practical: it's benefits are still there but may not outweigh the costs yet.
But as with all useful disciplines, there comes a point at which it is no longer optional. If I want to maintain a healthy weight, then discipline involving ice cream may be optional. But if I want to be a competitive athlete, my choice of whether or not to eat ice cream is subsumed by my choice of goals. If you want to change the world with software, immutability might be part of what you need to avoid it collapsing under it's own weight.
Take for example:
const userMessage = {
user: "userId",
topic: "topicId"
content: {}
}
validateMessage(userMessage)
saveMessage(userMessage)
sendMessageViaEmail(userMessage)
**sendMessageViaMobilePush(userMessage)**
console.log(userMessage) // => ?
and now answer some questions:
what is under userMessage on line sendMessageViaMobilePush(userMessage)) in mutable code?
{
id: "xxx-xxx-xxx-xxx", //set by ..(Answer for question 3)
user:"John Tribe", //set by sendMessageViaEmail
topic: "Email title", //set by sendMessageViaEmail
status: FINAL, //set by saveMessage or could be set by sendMessageViaEmail
from: "..", //set by sendMessageViaEmail
to:"...", //set by sendMessageViaEmail
valid:true, //set by validateMessage
state: SENT //set by sendMessageViaEmail
}
Surprised?? Me too :d. But this is normal with mutability in javascript.
(in Java too but a bit in different way. When You expect null but get some object).
What is under userMessage on same line in immutable code?
const userMessage = {
user: "userId",
topic: "topicId",
content: {}
}
Easy right ?
Can You guess by which method "id" is updated in mutable code in Snippet 1 ??
By sendMessageViaEmail.
Why?
Why not?
Well it was at first updated by saveMessage,
but then overridden by sendMessageViaEmail.
In mutable code people didn't received push messages (sendMessageViaMobilePush). Can You guess why ??
because I am amazing developer :D and I put safety check in method sendMessageViaMobilePush(userMessage)
function sendMessageViaMobilePush(userMessage) {
if (userMessage.state != SENT) { //was set to SENT by sendMessageViaEmail
send(userMessage)
}
}
Even if You saw this method before,
was this possible for You to predict this behavior in mutable code ?
For me it wasn't.
Hope this helped You to understand what is major issue using mutable objects in javascript.
Note that when complexity rise it is too difficult to check what was set and where especially when You work with other people.
I've created a framework agnostic open source (MIT) lib for mutable (or immutable) state which can replace all those immutable storage like libs (redux, vuex etc...).
Immutable states was ugly for me because there was too much work to do (a lot of actions for simple read/write operations), code was less readable and performance for big datasets was not acceptable (whole component re-render :/ ).
With deep-state-observer I can update only one node with dot notation and use wildcards. I can also create history of the state (undo/redo/time travel) keeping just those concrete values that have been changed {path:value} = less memory usage.
With deep-state-observer I can fine-tune things and I have grain control over component behavior so performance can be drastically improved. Code is more readable and refactoring is a lot easier - just search and replace path strings (no need to change code/logic).
The main advantage of immutability is its simplicity.
Replacing an object is simpler than modifying an existing one.
It allows you to focus on correctness in one place. Rather than every possible place where your object might change.
If your object is in an invalid state, its easier to fix because the fault must have occurred when you created it (since its immutable)
I think the main reason pro immutable objects, is keeping the state of the object valid.
Suppose we have an object called arr. This object is valid when all the items are the same letter.
// this function will change the letter in all the array
function fillWithZ(arr) {
for (var i = 0; i < arr.length; ++i) {
if (i === 4) // rare condition
return arr; // some error here
arr[i] = "Z";
}
return arr;
}
console.log(fillWithZ(["A","A","A"])) // ok, valid state
console.log(fillWithZ(["A","A","A","A","A","A"])) // bad, invalid state
if arr become an immutable object, then we will be sure arr is always in a valid state.

Isn't Redux just glorified global state?

So I started learning React a week ago and I inevitably got to the problem of state and how components are supposed to communicate with the rest of the app. I searched around and Redux seems to be the flavor of the month. I read through all the documentation and I think it's actually a pretty revolutionary idea. Here are my thoughts on it:
State is generally agreed to be pretty evil and a large source of bugs in programming. Instead of scattering it all throughout your app Redux says why not just have it all concentrated in a global state tree that you have to emit actions to change? Sounds interesting. All programs need state so let's stick it in one impure space and only modify it from within there so bugs are easy to track down. Then we can also declaratively bind individual state pieces to React components and have them auto-redraw and everything is beautiful.
However, I have two questions about this whole design. For one, why does the state tree need to be immutable? Say I don't care about time travel debugging, hot reload, and have already implemented undo/redo in my app. It just seems so cumbersome to have to do this:
case COMPLETE_TODO:
return [
...state.slice(0, action.index),
Object.assign({}, state[action.index], {
completed: true
}),
...state.slice(action.index + 1)
];
Instead of this:
case COMPLETE_TODO:
state[action.index].completed = true;
Not to mention I am making an online whiteboard just to learn and every state change might be as simple as adding a brush stroke to the command list. After a while (hundreds of brush strokes) duplicating this entire array might start becoming extremely expensive and time-consuming.
I'm ok with a global state tree that is independent from the UI that is mutated via actions, but does it really need to be immutable? What's wrong with a simple implementation like this (very rough draft. wrote in 1 minute)?
var store = { items: [] };
export function getState() {
return store;
}
export function addTodo(text) {
store.items.push({ "text": text, "completed", false});
}
export function completeTodo(index) {
store.items[index].completed = true;
}
It's still a global state tree mutated via actions emitted but extremely simple and efficient.
Isn't Redux just glorified global state?
Of course it is. But the same holds for every database you have ever used. It is better to treat Redux as an in-memory database - which your components can reactively depend upon.
Immutability enables checking if any sub-tree has been altered very efficient because it simplifies down to an identity check.
Yes, your implementation is efficient, but the entire virtual dom will have to be re-rendered each time the tree is manipulated somehow.
If you are using React, it will eventually do a diff against the actual dom and perform minimal batch-optimized manipulations, but the full top-down re-rendering is still inefficient.
For an immutable tree, stateless components just have to check if the subtree(s) it depends on, differ in identities compared to previous value(s), and if so - the rendering can be avoided entirely.
Yes it is!!!
Since there is no governance of who is allowed to write a specific property/variable/entry to the store and practically you can dispatch any action from anywhere, the code tends to be harder to maintain and even spaghetti when your code base grows and/or managed by more than one person.
I had the same questions and issues with Redux when I started use it so I have created a library that fix these issue:
It is called Yassi:
Yassi solves the problems you mentioned by define a globally readable and privately writable store. It means that anyone can read a property from the store (such as in Redux but simpler).
However only the owner of the property, meaning the object that declare the property can write/update that property in the store
In addition, Yassi has other perks in it such as zero boilerplate to declare entry in the store by using annotations (use #yassit('someName'))
Update the value of that entry does not require actions/reducers or other such cumbersome code snippets, instead just update the variable like in regular object.

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