Functional with JavaScript Arrays

Part 1

Why?

Is Functional Programming Just Hipster Hype?

Is There Substance Behind Perceived Hype?

Is Software Development "Just Going Through One of Those Phases?"

does functional style programming actually lead to increased productivity, less bugs, reusable code, fun, etc?

one way to find out

From How to What

takes array of numbers
create iterator, `sum` variable & new array
iterate through original array
1. push to new array the value of the current index original array multiplied by itself
iterate through new array
1. add value of current index of new array to the sum variable
return the sum variable

Uh, that's how

not what

function mysteryOperation(nums) {
    var i, sum = 0, squares = [];
 
    for (i = 0; i < nums.length; i++) {
        squares.push(nums[i]*nums[i]);
    }

    for (i = 0; i < squares.length; i++) {
        sum += squares[i];
    }

    return sum;
}

console.log(
    mysteryOperation( getArrayofIntegers() )
);

What does mysteryOperation do?

function mysteryOperation(nums) {
    var i, sum = 0, squares = [];
 
    for (i = 0; i < nums.length; i++) {
        squares.push(nums[i]*nums[i]);
    }

    for (i = 0; i < squares.length; i++) {
        sum += squares[i];
    }

    return sum;
}

console.log(
    mysteryOperation( getArrayofIntegers() )
);

What does mysteryOperation do?

maps from an array of integers to an array of its squares
reduces the array of squares to its sum

const mysteryOp = (nums) => nums
    .map( (x) => x * x )
    .reduce( (acc, c) => acc + c, 0);

in code -- what is how

Abstractly, it:

take array of numbers
filter out odd numbers
map to halves of each value
reduce to average

function mysteryOperation(nums) {
    var i, sum = 0, tally = 0;
    for (i = 0; i < nums.length; i++) {
        if(nums[i]%2===0) {
            sum += nums[i]/2
            tally++;
        }
    }
    return sum/tally;
}

What does this mysteryOperation do?

const isEven = (x) => x%2===0;

const half = (x) => x / 2;

const toAvg = (acc, c, i, arr) => (
    i < arr.length - 1
        ? acc + c
        : (acc + c) / arr.length
    ), 0)

const mysteryOperation = (nums) => nums
    .filter( isEven )
    .map( half )
    .reduce( toAvg )

that is telling app What to do vs How

Does This Idea Scale?

What Does an App Do?

In an App

There are things
Things have names
Things have functionality
Things have data
Things expose ways to interact with other things
(Things have a tendency to be very domain specific)

But that is the a How

What's the What?

you know, from an abstract level

What An App Does

you know, from an abstract level

An app is just a long running process in which an async series of events are transformed into effects

True or False?

Start, Transform, Affect, Repeat

start with an event + state
data + event flows through transformations (1, 2, 3, 4)
end with a state mutation & effect

start

end

an app listens for events, pipes them through transformations, ends them as effects

is that What an app does?

Buying It?

Start

Examples:

App Started
DOM Events (DOMContentLoaded, onClick, onSubmit, etc)
HTTP Request Received
HTTP Response Returned
Database Result
WebSocket Message
Etc

state is data, event is data, it's all data

event + state

End

Examples:

Render / Update the UI
Trigger a DOM Event
Create an HTTP Request
Return an HTTP Response
Save to DB
Send WebSocket Message
Etc

aka: the effect

A Start, an End, and a Bunch of Stuff In Between

Instead of things and their imperative operations, like:

myCat.setAttribute('name', 'felix');
reportCard.addGrade(myGrade);
mapper::getInstance().removeRecord(recordA);
MyRecord::fromAnotherObject( anotherObject );
etc.

How, not What

Stuff in Between

Declarative / Functional Style Programming Strives to Align

How with What

Transformations

so, between start & end, we can think of data streaming through a composition of transformative verbs. These verbs describe what those transformations do

filter
slice
map
reduce
concat
zip
fork
flatten
etc

start

end

Not Always This Simple

start

end

start

end

start

end

start

state

end

event

state

Nonetheless

all the transformations in the middle can be represented with the verbs

DOM Events
App Started
HTTP Request
HTTP Response
Database Result
WebSocket Message

UI Update
DOM Event
HTTP Request
HTTP Response
DB Query
WebSocket Message

And These

to These

are effectively mapped

Bonus

follow some simple rules & best practices

(stateless, pure, no side-effects, etc)

and

These

become extremely reusable, easy to maintain, testable and have a simple mental model

& your app can scale horizontally

Verbs Included

many functional libraries include these verbs

(map, filter, reduce, etc)

rambda
underscore
lodash

Observables / Rx.js turns ALL THE THINGS (that change over time) into things that can be mapped, filtered, reduced, concat, etc

Hey, The Sign Said "JavaScript Arrays!"

bringing it back...

Adoptable Concept

at a smaller scale

typically, the data flowing into our app starts as an array

from endpoints, databases, etc

and we deal often with data in bulk in the form of Arrays

[...document.querySelectorAll('p')]

this array data eventually changes the DOM

or the data in this array may change the shape of the HTTP response

Array: a Wonder Container

arrays in JavaScript have these verbs built in:

filter
slice
concat
map
reduce
forEach

and now you know that these verbs are associated with a bigger paradigm

and we can tap into the great power that comes from composing these verbs together

first, we must understand how to use the parts

Slice

items.slice(0, 5)

Remove Items

from array of n length containing x's
to array of <= n length containing x's

Concat

items.concat([1, 2, 3])

Combine Items

from array of n length
to array of >n length

Concat

accepts anything or an array of anythings
returns new array
- contains previous items
- appends new item or items

items.concat(1)
items.concat([1, 2, 3])

http://jsbin.com/meyojaj/2/edit?js,console

Examples

[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
    .concat(11)


[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
    .concat([11, 12, 13, typeof window])

Map

items.map(x => x * x)

Transform Each Item

from array of n length containing x's
to array of n length containing y's

Map

[].map((x) => x * x)

Accepts a Lambda Function

1st argument of lamda is a placeholder of each item as language loops through the array (required)
Return value is added to the new array

lambda function accepts optional arguments 2 and 3, but they're less common

a higher-order function

[0, 1, 2, 3, 4, 5, 6, 7]
    .map((x) => 2**x)

// [1, 2, 4, 8, 16, 32, 64, 128]


[
    {w:10, h:20, d:10},
    {w:3, h:2, d:20},
    {w:4, h:1, d:400},
    {w:9000, h:3999, d:9191}
].map( ({w, h, d}) => w * h * d)


// [2000, 120, 1600, 330793281000]

Examples

http://jsbin.com/hoqebocovo/4/edit?js,console

Filter

items.filter((x) => x%2===0)

Remove Items

from array of n length
to array of <= n length

Filter

Accepts a Lambda Function

1st argument of lamda is a placeholder of each item as language loops through the array (required)
Return value determines if item stays: truthy=stays, falsey=removed

lambda function accepts optional arguments 2 and 3, but they're less common

items.filter((x) => x%2===0)

a higher-order function

http://jsbin.com/sacaqu/2/edit?js,console

Examples

[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
    .filter((x) => x%2 ===0 );


["bacon cheeseburger", "chicken sandwich", "hamburger", "bacon salad"]
    .filter((x) => /bacon/i.test(x) );

Reduce

items.reduce((acc, cur) => acc + cur, 0)

Transform From Array to Anything

from array of n length containing x's
to a y of anything

Reduce

[

]

array of blue circles

a red square

Reduce

lambda function accepts optional arguments 3 and 4, but they're less common

Accepts a Lambda Function

1st argument of lambda is the accumulation of values that will eventually be the final results (required)
2nd argument of the lambda is the current item as the array is iterated through
Return value becomes the accumulation in the next iteration and then the final result

Accepts an initial accumulation value

a higher-order function

items.reduce((acc, cur) => acc + cur, 0)

Reduce

parity of "types" through each iteration

[1, 3, 2, 5, 6, 8].reduce(
    (acc, cur) => acc + cur,
    0
);

What Else Besides Sum Can Reduce Do?

Shallow Flatten Arrays

[ [1, 2, 3], [3, 2, 1], [5, 2, 1] ]
    .reduce((acc, cur) => acc.concat(cur), [])

Split Arrays

const splitEvery = (chunkSize, arr) => (
    arr.reduce((acc, curr, i) => {
        const index = Math.floor(i/chunkSize);
            acc[index] = (acc[index]||[]).concat(curr);
            return acc;
    }, [])
);

Compose Functions

const compose = (...fns) => (
    (x) => fns.reduceRight(
        (acc, curr) => curr(acc),
        x
    )
);

Curry Functions

const curry = (fn) => (
    (...args) => (
        fn.length <=1 || args.length >= fn.length
            ? fn(...args)
            : args.reduce( (acc, curr) => (
                curry(acc.bind(null, curr)), fn)
            )
    )
);

Promise Thunk Waterfall

const waterfall = (...promiseThunks) => (
    () => promiseThunks.reduce(
        (acc, curr) => acc.then( () => curr() ),
        Promise.resolve()
    )
)

http://jsbin.com/tomozi/2/edit?js,console

Demos

Exercise

[
    {
        key: "name", value: "jared"
    },
    {
        key: "age", value: "old",
    },
    {
        key: "food", value: "bacon"
    },
    {
        key: "kids", value: "gazillions"
    },
    {
	key: "garbageA", value: "valueA"
    },
    {
        key: "garbageB", value: "valueB"
    }
]

{
    name: "jared",
    age: "old",
    food: "bacon",
    kids: "gazillions"
}

From this Shape

To this Shape

without

"garbage"

http://jsbin.com/mebujol/2/edit?js,console

const endShape = startShape
    .filter(({key}) => key.indexOf("garbage")===-1)
    .map( ({key, value}) => ({[key]: value}) )
    .reduce((acc, curr) => ({...acc, ...curr}), {})

Answer

Exercise

[
    {
        key: "name", value: "jared"
    },
    {
        key: "age", value: "old",
    },
    {
        key: "food", value: "bacon"
    },
    {
        key: "food", value: "pizza"
    },
    {
        key: "food", value: "cubby's"
    },
    {
        key: "food", value: "wings"
    },
    {
        key: "food", value: "shakes"
    }
];

{
    age: "old",
    kids: "gazillions",
    name: "jared",
    food: [
        "bacon",
        "pizza",
        "cubby's",
        "wings",
        "shakes"
    ]
}

From this Shape

To this Shape

http://jsbin.com/qemuya/2/edit?js,console

startShape
    .map(({key, value}) => ({[key]: value}))
    .reduce((acc, curr) => {
        const key = Object.keys(curr)[0];
        return {
            ...acc,
            [key]: acc[key]
                ? [].concat( acc[key] ).concat( curr[key] )
                : curr[key]
        };
    }, {})

Answer

Exercise

Write a function which takes an array of any depth (nested) and returns a completely flattened array

Functional with JavaScript Arrays

Part 2

Covering

Function Composition
Function Currying
Programmatically Creating Lambda Function
Negating True/False Filter Functions
More Examples

To be continued...

Functional with JavaScript Arrays

By Jared Anderson

Functional with JavaScript Arrays

1,586

Jared Anderson PRO

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