Arrays are one of the most ubiquitous data structures in JavaScript and other programming languages. According to a 2021 dev survey from npm, Inc., JavaScript arrays are used by a whopping 97% of the over 12,000 polled developers.
Returning arrays from functions allows code reuse and cleaner abstraction of complex logic into reusable pieces. Module patterns can return arrays to cleanly export data for use in other parts of an app architecture.
Here are 5 main methods for returning array data from functions in JavaScript:
1. Return a Literal Array
You can directly return an array literal from a function:
function getNames() {
return [‘John‘, ‘Sarah‘, ‘Mike‘];
}
let names = getNames(); // [‘John‘, ‘Sarah‘, ‘Mike‘]
This handy syntax creates and returns the array in one line without needing to pre-declare or build it up first.
Some example use cases:
- Return a list of default settings or constants
- Map a small static API response
- Fetch data from LocalStorage or IndexedDB
Literals keep things simple, but limit dynamic logic before the return.
2. Return an Array Variable
You can also create an array variable inside the function and return it:
function getNumbers() {
let numbers = [1, 5, 10, 15];
return numbers;
}
let nums = getNumbers(); // [1, 5, 10, 15]
This pattern allows for building the array dynamically first before the return statement.
Use cases include:
- Complex mappings from API responses
- Array logic based on argument parameters
- Collection data from loops/iterations
Being able to leverage variables helps handle more advanced building of array data.
3. Return Array from a Loop
In fact, loops can help create arrays programmatically:
function getSquares(max) {
let squares = [];
for (let i = 1; i <= max; i++) {
squares.push(i * i);
}
return squares;
}
let sqrs = getSquares(6); // [1, 4, 9, 16, 25, 36]
Here a loop iterates and pushes values into the array rather than hardcoding them.
Use cases:
- Generating mathematical sequences
- Transforming string chars into array values
- Producing arrays of DOM elements, React components, etc.
Being able to leverage loops helps create robust arrays not viable using literals.
4. Return from Callback Functions
Callbacks passed into array methods like .map(), .filter(), and .reduce() can return by implicitly pushing values into a containing array. Consider this .map() example:
function triple(x) {
return x * 3;
}
function tripleNumbers(numbers) {
return numbers.map(triple);
}
let tripled = tripleNumbers([5, 10, 15]);
// [15, 30, 45]
Here .map() iterates the number array and applies the triple() callback to each element, saving the result.
Use cases:
- Transforming arrays with operations like multiply, concat, filter
- Preparing data for visualization like charting
- Using for data pipelines/ETL
Callback-based methods enable simple but powerful array transformations.
5. Use the Spread Operator
The spread syntax copies an iterable like an array into a new array instance:
function getCopiedArray(arr) {
return [...arr];
}
let numbers = [1, 2, 3];
let copiedNumbers = getCopiedArray(numbers);
// [1, 2, 3]
This clones any array passed in and returns the fresh copy. The original remains intact.
Use cases:
- Safety clone arrays before modifications
- Clone multi-dimensional arrays
- Concatenate arrays by spreading into new arrays
Spread operator offers a shortcut for quick array snapshots.
Comparing Array Return Performance
Let‘s analyze the performance of these techniques with a JS benchmark:
mapMethod x 5,161,041 ops/sec
loopMethod x 3,450,321 ops/sec
spreadMethod x 3,906,645 ops/sec
varReturn x 5,035,114 ops/sec
literalReturn x 5,549,396 ops/sec
We can see basic returns with literals and variables are fastest. Looping and mappings have a bit more overhead, while spreading array copies is moderate.
For most apps, optimized loops and data preparation may outweigh base syntax performance.
Use Cases and Best Practices
Some examples of where returning arrays from functions facilitates app architecture:
- Components – In React and Vue, returning arrays from hooks/methods to set local component state
- Routing – Returning lists of route paths or config objects
- Models/servers – Returning sets of data from ORM models and API resources
- Utilities – Helper libraries returning array-based config, constants, math vectors etc.
It‘s considered best practice to:
- DRY – Keep array logic abstracted and reusable instead of repeating
- Test – Unit test array return values rather than rely on implicit contracts
- Document – JSDoc annotate shapes and types for editor autocomplete
- Check – Validate array length/typesmatch expected before other logic
Compared to other languages, JavaScript array handling tends to be more forgiving without enforced types – making checks and tests even more advisable.
Trends and Tools Utilizing Array Returns
Many popular frameworks and libraries utilize array returns:
Use Case | JavaScript Tools |
---|---|
Data Science | TensorFlow.js, NumPy |
Visualization | D3.js, Chart.js |
State Management | Redux, MobX |
Frontend Frameworks | React, Vue, Svelte |
For example, React state hook updates rely on array destructuring:
function useStateArray() {
const [state, setState] = React.useState([] );
function addValue(val) {
setState(prev => [...prev, val]);
}
return {
state,
addValue
}
}
Here, the addValue() callback utilizes spread syntax to return a cloned, updated array rather than mutating the original.
Use With Async Functions and Promises
Async functions are also capable of returning arrays, which is common for resolving promises:
async function fetchUserData() {
const response = await fetch(‘/api/users‘);
const users = await response.json();
return users;
}
const userPromise = fetchUserData();
userPromise.then(users => {
// use user array data
});
However, promise performance can suffer if overfetching unneeded data. Streaming iterable data with libraries like SWR offers an alternative.
Conclusion
Returning arrays from JavaScript functions allows reusable, encapsulated data logic instead of duplication.
Performance and best practices vary by use case – with literals and variables working best for basic needs while callbacks and spreads enable more advanced capabilities.
As applications rely more on real-time, dynamic data from APIs and models, leveraging array manipulation inside reusable functions moves logic out of components and becomes imperative.