Benchmark: Lodash pick vs object assign value

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Tests:

Lodash
const obj = { a:1, b:1, c:1, d:1, e:1, f:1, g:1, h:1, i:1, } const n = _.pick(obj, ['a','d','i']);
Object desctruct
const obj = { a:1, b:1, c:1, d:1, e:1, f:1, g:1, h:1, i:1, } const n = {a: obj.a, d: obj.b, i: obj.i};

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Object desctruct

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark is comparing two approaches to pick specific properties from an object in JavaScript:

1. Using Lodash's `pick` function
2. Using object destructuring (a feature introduced in ECMAScript 2015)

**Lodash's Pick Function**

The `pick` function takes an object and an array of property names as arguments, returning a new object containing only the properties specified by the array.

In the benchmark, Lodash is used to pick specific properties from the `obj` object, which has multiple properties with the same value (1). The `pick` function is called with an array of property names, and its performance is measured.

**Object Destructuring**

The second approach uses object destructuring to extract specific properties from the `obj` object. This involves creating a new object with only the desired properties by using the syntax `${property: value}` in the destructured object literal.

In the benchmark, this approach is used to create a new object with only the `a`, `d`, and `i` properties.

**Pros and Cons of Each Approach**

1. **Lodash's Pick Function**
	* Pros:
		+ Concise and readable code
		+ Easy to maintain and update if property names change
	* Cons:
		+ Additional library dependency (Lodash)
		+ Potential performance overhead due to the extra function call
2. **Object Destructuring**
	* Pros:
		+ No additional library dependency
		+ High-performance, as it's a native JavaScript feature
	* Cons:
		+ Code can become verbose and harder to read for complex objects
		+ Requires support for ECMAScript 2015 or later

**Library and Feature**

In this benchmark, Lodash is used, which is a popular utility library that provides various helper functions. The `pick` function is one of the most commonly used helpers.

As for special JavaScript features, object destructuring is a built-in feature introduced in ECMAScript 2015 (ES6). It allows developers to extract properties from objects using syntax like `${property: value}`.

**Other Alternatives**

If you prefer not to use Lodash or object destructuring, other alternatives can be explored:

1. **Using `Object.assign()`**: You can create a new object and assign the desired properties manually using `Object.assign()`. This approach is more verbose but doesn't require any libraries.
2. **Using `for...in` loops**: Another alternative is to use `for...in` loops to iterate over the object's properties and assign them to new variables. However, this approach can be slower than object destructuring due to the overhead of the loop.

Keep in mind that these alternatives may not be as concise or readable as Lodash's pick function or object destructuring.

**Benchmark Results**

The benchmark results show the performance differences between using Lodash's `pick` function and object destructuring. The results indicate that object destructuring is generally faster than using the `pick` function, likely due to its native JavaScript implementation and lower overhead.

Overall, the choice between these two approaches depends on your specific use case, personal preference, and the requirements of your project.

Related benchmarks:

Lodash pick vs object assign value (version: 0)

Comparing performance of: Lodash vs Object desctruct

Created: 5 years ago by: Guest

Jump to the latest result

Lodash

Object desctruct

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):