Benchmark: Object.assign vs deconstruct v2

Tests:

deconstruct
"use strict"; class Box { constructor(params = {}) { var { x = 0, y = [1,2,3], height = 1, width = 1 } = params; this.x = x; this.y = y; this.height = height; this.width = width; } } const b = new Box({ x:3, y: [4,5,6], height: 23, width: 1}); console.assert(b.x === 3)
Object.assign
class Box { constructor(params = {}){ this.x = 0; this.y = [1,2,3]; this.height = 1; this.width = 1; Object.assign(this, params); } } const a = new Box({ x:3, y: [4,5,6], height: 23, width: 1}); console.assert(a.x === 3)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
deconstruct
Object.assign

Fastest: N/A

Slowest: N/A

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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 JSON benchmark and its test cases.

**Benchmark Overview**

The benchmark is designed to compare the performance of two approaches: using destructuring assignment (`deconstruct`) versus `Object.assign()` in JavaScript.

**Test Cases**

There are only two test cases:

1. **"deconstruct"`**: This test case creates a new instance of a `Box` class with default values for its properties (x, y, height, and width). The constructor uses destructuring assignment to set the initial values. The test then verifies that the x property is equal to 3.
2. **"Object.assign"`**: This test case creates a new instance of the same `Box` class, but this time, it uses `Object.assign()` to merge an object with default values into the constructor.

**Options Compared**

The two options being compared are:

* Deconstructing assignment (`deconstruct`)
* Using `Object.assign()` for property merging

**Pros and Cons**

**Deconstructing Assignment (deconstruct)**

Pros:

* Readability: Deconstructing assignment can make the code more concise and readable.
* Expressiveness: It allows for a clear separation of concerns between object creation and property setting.

Cons:

* Performance: In this specific benchmark, deconstructing assignment might be slower due to the additional overhead of parsing and evaluating the destructured object.

**Object.assign()**

Pros:

* Performance: `Object.assign()` is generally faster than deconstructing assignment because it uses a more efficient allocation mechanism.
* Flexibility: It allows for arbitrary objects to be merged, not just properties with default values.

Cons:

* Readability: The code can become less readable if the object being assigned has many properties.
* Expressiveness: It requires additional effort to ensure that the object being assigned matches the expected properties and types.

**Library and Purpose**

In this benchmark, there is no explicitly mentioned library. However, it's worth noting that `Object.assign()` was introduced in ECMAScript 2015 (ES6) as a standard method for merging objects.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntaxes used in these test cases beyond the use of destructuring assignment and `Object.assign()`. However, it's worth noting that deconstructing assignment is not supported in older versions of Internet Explorer (IE) prior to version 11.

**Other Alternatives**

For property merging, other alternatives could be:

* Using a library like Lodash or Immutable.js
* Implementing your own custom merge function
* Using the spread operator (`{ ...defaultValues, ...otherProps }`)

Keep in mind that each approach has its trade-offs in terms of performance, readability, and expressiveness. The choice ultimately depends on the specific requirements and constraints of the project.

As for deconstructing assignment, if you're targeting older browsers like IE 11 or earlier, you might need to use a polyfill or an alternative implementation.

Related benchmarks:

Object.assign vs deconstruct v2 (version: 0)

Comparing performance of: deconstruct vs Object.assign

Created: 4 years ago by: Guest

Jump to the latest result

deconstruct

Object.assign

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):