<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
const data = [
[{ id: 1 }, { id: 2 }], [{ id: 3 }, { id: 4 }], [{ id: 5 }, { id: 6 }],
[{ id: 7 }, { id: 8 }], [{ id: 9 }, { id: 10 }], [{ id: 11 }, { id: 12 }],
[{ id: 13 }, { id: 14 }], [{ id: 15 }, { id: 16 }], [{ id: 17 }, { id: 18 }],
[{ id: 19 }, { id: 20 }], [{ id: 21 }, { id: 22 }], [{ id: 23 }, { id: 24 }],
[{ id: 25 }, { id: 26 }], [{ id: 27 }, { id: 28 }], [{ id: 29 }, { id: 30 }],
[{ id: 31 }, { id: 32 }], [{ id: 33 }, { id: 34 }], [{ id: 35 }, { id: 36 }],
[{ id: 37 }, { id: 38 }], [{ id: 39 }, { id: 40 }]
];
// Transformation function
const transform = obj => ({ id: obj.id + 10 });
// Using JavaScript native flatMap
const transformedAndFlattened = data.flatMap(transform);
console.log(transformedAndFlattened);
const data = [
[{ id: 1 }, { id: 2 }], [{ id: 3 }, { id: 4 }], [{ id: 5 }, { id: 6 }],
[{ id: 7 }, { id: 8 }], [{ id: 9 }, { id: 10 }], [{ id: 11 }, { id: 12 }],
[{ id: 13 }, { id: 14 }], [{ id: 15 }, { id: 16 }], [{ id: 17 }, { id: 18 }],
[{ id: 19 }, { id: 20 }], [{ id: 21 }, { id: 22 }], [{ id: 23 }, { id: 24 }],
[{ id: 25 }, { id: 26 }], [{ id: 27 }, { id: 28 }], [{ id: 29 }, { id: 30 }],
[{ id: 31 }, { id: 32 }], [{ id: 33 }, { id: 34 }], [{ id: 35 }, { id: 36 }],
[{ id: 37 }, { id: 38 }], [{ id: 39 }, { id: 40 }]
];
// Transformation function
const transform = obj => ({ id: obj.id + 10 });
// Using lodash map and flatten
const transformedAndFlattened = _.flatten(data).map(transform);
console.log(transformedAndFlattened);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
flatMap | |
lodash flatten |
Test name | Executions per second |
---|---|
flatMap | 118888.7 Ops/sec |
lodash flatten | 76160.8 Ops/sec |
Let's break down the provided benchmark and explain what's being tested, compared, and their pros and cons.
Benchmark Definition
The benchmark is defined by two test cases: flatMap
and lodash flatten
. Both tests aim to transform an array of objects by applying a transformation function to each object. The difference lies in the implementation used:
flatMap
: This method is used on native arrays. It returns a new array with the results of applying the provided function on every element.flatten
and map
: Lodash provides a flatten
function that flattens an array (in this case, an array of objects) into a one-dimensional array, followed by a map
function that applies a transformation to each element.Comparison
The benchmark compares the performance of:
flatMap
flatten
and map
Pros and Cons
flatMap
Pros:
Cons:
flatMap
function in JavaScript can be complex and prone to errors.flatten
and map
Pros:
Cons:
Library: Lodash
Lodash is a popular JavaScript utility library that provides various functions for tasks like array manipulation, string manipulation, and more. In this context, the flatten
function takes an array as input and returns a flattened version of it, while the map
function applies a transformation to each element.
Special JS feature: None
There are no special JavaScript features or syntax used in these benchmark tests. Both implementations rely on standard JavaScript concepts like functions, arrays, and object manipulation.
Other Alternatives
If you need to perform array transformations without using Lodash, alternative approaches include:
forEach
and concatenating results: This approach can be slower than the native flatMap
method but is more widely supported.flat()
and map()
: Some browsers support these methods natively, which could provide faster execution times.Keep in mind that the performance difference between these alternatives might be negligible unless you're working with very large datasets or need to optimize for extreme performance.