Benchmark: Map vs for vs lodash Map

HTML Preparation code:

<script src="lodash.js"></script>

Script Preparation code:

var originalArray = [...Array(10000)].map((_, i) => ({
    a: i,
    b: i + 1
}));

Tests:

Array.prototype.Map
const transformedArrayMap = originalArray.map(obj => ({ ...obj, c: obj.a + obj.b, d: obj.a * obj.b }));
For
for (let i = 0; i < originalArray.length; i++) { originalArray[i].c = originalArray[i].a + originalArray[i].b; originalArray[i].d = originalArray[i].a * originalArray[i].b; }
Lodash Map
const transformedArrayMap = _.map(originalArray, obj => ({ ...obj, c: obj.a + obj.b, d: obj.a * obj.b }));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.prototype.Map
For
Lodash Map

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's dive into the provided benchmarking scenario.

**Overview**

The test compares three approaches to perform transformations on an array:

1. `Array.prototype.Map`
2. For loop
3. Lodash Map (`_.map`)

Each approach is tested with a dataset of 10,000 objects, where each object has two properties: `a` and `b`. The goal is to add a new property `c` to each object by combining `a` and `b`, and another property `d` by multiplying `a` and `b`.

**Approaches**

### Array.prototype.Map

* This method uses the `map()` function, which calls a provided callback function for every element in the array.
* The callback function takes an element from the array and returns a new value, which is then added to the resulting array.

Pros:

* Concise and expressive syntax
* Built-in to JavaScript, so no additional libraries are required

Cons:

* Can be slower than other methods due to overhead of creating a new array

### For Loop

* This approach uses a traditional for loop to iterate over the elements of the array.
* Inside the loop, each element is processed and modified.

Pros:

* Often faster than `map()` due to control over iteration and data access
* Can be more readable for complex transformations

Cons:

* More verbose syntax compared to `map()`
* Requires manual indexing and bounds checking

### Lodash Map (`_.map`)

* This method uses the `_` library (Lodash) to provide a higher-order function that can perform multiple operations on an array.
* The callback function is similar to the one used in `Array.prototype.Map`, but with added functionality from Lodash.

Pros:

* Can perform additional operations beyond simple transformations
* Built-in utility functions within Lodash

Cons:

* Requires adding another library (Lodash) to the project
* Some users might find the syntax unfamiliar or less readable than native JavaScript methods

**Library: Lodash**

* Lodash is a popular JavaScript library that provides various utility functions for functional programming, data manipulation, and more.
* In this case, `_map` is used as a higher-order function to perform multiple operations on an array.

**Special JS Feature/Syntax**

None mentioned in the provided benchmarking scenario. However, if you're interested in exploring advanced JavaScript features or syntax, there are many topics available, such as:

* Generators and iterators
* Async/await and promises
* Closures and scope management
* Arrow functions and shorthand methods

**Alternatives**

If you'd like to explore alternative approaches or libraries for this benchmarking scenario, here are some options:

* Using `forEach()` instead of `map()`
* Implementing a custom iteration function using `requestAnimationFrame` or Web Workers
* Utilizing other utility libraries like jQuery or Underscore.js
* Exploring alternative programming paradigms, such as functional programming with Ramda or fp.js

Keep in mind that the best approach depends on your specific use case, performance requirements, and personal preference.

Related benchmarks:

Map vs for vs lodash Map (version: 0)

Comparing performance of: Array.prototype.Map vs For vs Lodash Map

Created: 3 years ago by: Registered User

Jump to the latest result

Array.prototype.Map

For

Lodash Map

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):