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* Preface
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* Introduction
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It was the late 90's and I was just a kid visiting my Aunt and Uncle
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and their family in Denver. The days were packed with endless playing
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and goofing around. I didn't get to see my cousins much and we were
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having a good time. But it was the late 90's and the Internet was
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booming. And my cousin was in on it.
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A "startup", that's what he called it. I didn't understand any of what
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he was saying about it. Grown-up stuff. Then he showed us the webpage
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for the startup and I thought that was impressive.
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"How did you make that"? I asked him. I think he was a little confused
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at first about what I was even talking about but he quickly brought me
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over to the computer and showed me a screen full of text.
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"You just type HTML, that's how you make the webpage." I thought this
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was the coolest.
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"What do you type that into? What program is it? Can I do that?" He
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told me it was easy: just use Notepad. I wasn't going to let him go
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without some hook I could grab into this alien world. He told me it's
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really easy to learn: do an AOL search for "HTML tutorial".
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So began my journey with web development. I AOL searched my way
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through as many blinking text tutorials as I could find. It wasn't
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long until I was building AJAX. We had IE 5.5 and 6 and Mozilla
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Pheonix. And GMail came out. That changed things, now web apps were
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"legitimate."
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A lot of the technologies and libraries came and went over the years
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but one thing remained constant in large web apps: poor
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performance. From the very early days I was timing things with my stop
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watch. Sometimes things were slow and I had to understand why and how
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to fix them. Over the years I learned all about the browser's DOM and
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its APIs and how they work. I learned how jQuery worked and
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backbone.js and all the rest. I made apps that didn't lag or have
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jank.
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I was able to do this because I understood the performance
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implications of the tools and libraries I was using and I learned how
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to measure performance. I had discovered the recipe for
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high-performance code.
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And that is what this book is: a recipe for producing high-performance
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React applications. First, we learn how React works. Then we learn how
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to measure performance. And last we learn how to address the
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bottlenecks we find. Parts of any technical book will go stale as
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technology changes and that is no less true for this book. But what I
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hope you learn is not just the technical details but more importantly
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the method for writing high-performance code. The API might change but
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the method will remain the same.
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* Mini React
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Baking bread. When I first began to learn how to bake bread the recipe
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told me what to do. It listed some ingredients and told me how to
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combine them and prescribed times of rest. It gave me an oven
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temperature and a period of wait. It gave me mediocre bread of wildly
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varying quality. I tried different recipes but the result was always
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the same.
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Understanding: that's what I was missing. The bread I make is now
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consistently good. The recipes I use are simpler and only give ratios
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and general recommendations for rests and waits. So why does the bread
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turn out better?
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Before baking is finished bread is a living organism. The way it grows
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and develops and flavors depend on what you feed it and how you feed
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it and massage it, care for it. If you have it grow and ferment at a
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higher temperature and more yeast it overdevelops producing too much
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alcohol. If you give it too much time acidity will take over the
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flavor. The recipes I used initially were missing a critical
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ingredient: the rising temperature.
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But unlike a lot of ingredients: temperature is hard to control for
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the home cook. So the recipe can't just tell you exactly what
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temperature to grow the bread at. My initial recipes just silently
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made assumptions for the temperature, which rarely turn out to be
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true. This means that the only way to consistently make good bread is
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to have an understanding of how bread develops so that you can adjust
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the other ingredients to complement the temperature. Now the bread can
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tell me what to do.
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While React isn't technically a living organism that can tell us what
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to do it is, in its whole, a complex, abstract entity. We could learn basic
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recipes for how to write high-performance React code but they wouldn't
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apply in all cases and as React and things under it change our recipes
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would fall out-of-date. So like the bread, to produce consistently
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good results we need to understand how React does what it does.
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** Basic React
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Conceptually React is very simple. It starts by walking a tree of
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components and building up a tree of their output. Then it compares
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that tree to the tree currently in the browser's DOM to find any
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differences between them. When it finds differences it updates the
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browser's DOM to match its tree.
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But what does that actually look like? If your app is janky does that
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explanation point you towards what is wrong? No. It might make you
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wonder if maybe it is too expensive to re-render the tree or if maybe
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the diffing React does is slow but you won't really know. When I was
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initially testing out different bread recipes I had guesses at why it
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wasn't working but I didn't really figure it out until I had a deeper
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understanding of how making bread worked. It's time we build up our
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understand of how React works so that we can start to answer our
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questions with solid answers.
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React is made up of a few pieces: ~createElement~, ~render~, and
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reconciliation. The first building block is ~createElement~. While
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~createElement~ is itself unlikely to be a bottleneck it's a good to
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understand how it works so that we can have a complete picture of the
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entire process. The more black-boxes we have in our mental model the
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harder it will be for us to diagnose performance problems.
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*** ~JSX~
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But before we get to ~createElement~ we should talk about JSX. While
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not strictly a part of React it is almost universally used with
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it. And if we understand it then ~createElement~ will be less of a
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mystery since we will be able to connect all the dots.
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Before JSX the normal way of injecting HTML into the DOM was via
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directly utilizing the browser's DOM APIs. This was very cumbersome.
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The code's structure did not match the structure of the HTML that it
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output which made it hard to quickly understand what the output of
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a piece of code would be. So naturally programmers have been endlessly
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searching for better ways to mix HTML with Javascript.
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And this brings us to JSX. It is nothing new; nothing
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complicated. Forms of it have been made and used long before React
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adopted it. Now let's see if we can discover JSX for ourselves.
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To start with we need to create a data structure that both represents
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a DOM tree and can also be used to insert one into the browser's
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DOM. And to do that we need to understand what a tree of DOM nodes is
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constructed of. What parts do you see here?
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TODO include text element (Hello)
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TODO change to using objects instead of arrays?
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probably do after what we've already done
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{
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type: 'h1',
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props: { x: y },
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children: []
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}
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#+BEGIN_SRC html
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<div class="header">
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<h1>Hello</h1>
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<input type="submit" disabled />
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</div>
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#+END_SRC
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I see three parts: the name of the tag, the tag's properties, and its
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children. Now how could we recreate that in Javascript?
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In Javascript we store lists of things in arrays and key/value
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properties in objects. Luckily for us Javascript even gives us literal
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syntax for both so we can easily make a compact DOM tree with our own
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notation.
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This is what I'm thinking:
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#+BEGIN_SRC javascript
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['div', { 'class': 'header' },
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[['h1', {}, ['Hello']],
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['input', { 'type': 'submit', 'disabled': 'disabled' }, []]
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]
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]
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#+END_SRC
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As you can see we have a clear mapping from our notation to the
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original HTML. Our tree is made up of three element arrays. The first
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item in the array is the tag, the second is an object containing the
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tag's properties, and the third is an array of its children; which are
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all made up of the same three element arrays.
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The truth is though, if you stare at it long enough, although the
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mapping is clear, how much fun would it be to read and write that on a
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consistent basis? I can assure you, it is rather not fun. But it has
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the advantage of being easy to insert into the DOM. All you need to do
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is write a simple recursive function that ingests our data structure
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and updates the DOM accordingly. We will get back to this.
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So now we have a way to represent a tree of nodes and we
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(theoretically) have a way to get those nodes into the DOM. But if we
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are being honest with ourselves, while functional, it isn't a pretty
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notation nor easy to work with.
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And this is where our object of study enters the scene. JSX is just a
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notation that a compiler takes as input and outputs in its place a
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tree of nodes nearly identical to the notation we came up with! And if
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you look back to our notation you can see that you can easily embed
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arbitrary Javascript expression wherever you want in a node. As you
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may have realized, that's exactly what the JSX compiler does when it
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sees curly braces!
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There are three main differences between our data structure and the
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real one that JSX compiler outputs: it uses objects instead of arrays,
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it inserts calls to React.createElement on children, and spreads the
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children instead of containing them in an array. Here is what "real"
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JSX compiler output looks like:
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#+BEGIN_SRC javascript
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React.createElement(
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'div',
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{ className: 'header' },
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React.createElement('h1', {}, 'Hello'),
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React.createElement(
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'input',
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{ type: 'submit', 'disabled': 'disabled' })
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);
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#+END_SRC
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As you can see it is very similar to our data-structure and for the
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purposes of this book we will use our own simplified data-structure as
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it's a bit easier to work with. In practice they would behave the same
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in the ways that matter to us now.
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So now that we've worked through JSX we're ready to tackle
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~createElement~, the item on our way to building our own React.
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TODO JSX also does validation and escapes input to prevent XXS
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*** ~createElement~
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A tale of two trees.
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#+BEGIN_SRC javascript
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function createElement(node) {
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if (typeof node === 'string') {
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return {
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type: 'TEXT_ELEMENT'
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}
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const [ tag, props, children ] = node;
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const element = document.createDOMElement(tag);
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for ([key, val] in props) {
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element[key] = val;
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}
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children.forEach(createElement);
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}
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#+END_SRC
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* Rendering Model
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React calls shouldComponentUpdate to know if it should re-render the
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component. by default it returns true.
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generally use PureComponent/React.memo
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* Diagnosing Bottlenecks
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* Reducing Renders
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* Improving DOM Merge Performance
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* Reducing Number of Components
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higher-order components
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* Windowing
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* Performance Tools
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trace from scheduler/tracing/profiler component
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* JS Performance Tools
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* Code Splitting
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React.lazy, suspense
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use on routes
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* Server Side Rendering
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* Concurrent Rendering
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* UX
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* JS Service Workers
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* Reconciliation
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- diffing algorithm based on heuristics. generic algorithm is O(n^3)
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- "Fiber" algorithm notes
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- lists reordering without key means full list output/update
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- type changes cause full re-render
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- keys should be stable, predictable, unique
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Reference in New Issue