Benchmark: JavaScript spread operator vs Object.assign performance d

Tests:

Using the spread operator
const firstObject = { sampleData: 'Hello world' } const secondObject = { moreData: 'foo bar' } const finalObject = { ...firstObject, ...secondObject };
Using Object.assign
const firstObject = { sampleData: 'Hello world' } const secondObject = { moreData: 'foo bar' } const finalObject = Object.assign({}, firstObject, secondObject);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Using the spread operator
Using 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 dive into the benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark is designed to compare the performance of two different approaches for merging objects in JavaScript: using the spread operator (`...`) and `Object.assign()`.

**Options Being Compared**

1. **Using Spread Operator (`...`):**
	* This approach uses the spread operator to merge two objects into a new object.
	* The syntax is simple and concise, making it easy to read and write.
2. **Using Object.assign():**
	* This approach uses the `Object.assign()` method to merge two objects into a new object.
	* The syntax can be less readable than the spread operator, as it requires calling an extra function.

**Pros and Cons**

1. **Using Spread Operator (`...`):**
	* Pros:
		+ More concise and readable syntax.
		+ Less overhead in terms of function calls.
	* Cons:
		+ Not all browsers support the spread operator (although most modern ones do).
2. **Using Object.assign():**
	* Pros:
		+ Widely supported across different browsers.
		+ Can be useful when working with older browsers that don't support the spread operator.
	* Cons:
		+ More verbose syntax, making it less readable and more prone to errors.

**Library and Special JS Features**

In this benchmark, no libraries are used. However, if you're interested in learning about libraries that can help with object merging, some popular options include:

* Lodash's `_.merge()` function
* Underscore.js's `_merge()` function

As for special JavaScript features, the spread operator is a relatively recent addition to the language (introduced in ECMAScript 2018) and is widely supported across modern browsers. If you're using an older browser that doesn't support the spread operator, this benchmark won't be relevant.

**Other Considerations**

When working with object merging in JavaScript, it's essential to consider the following factors:

* **Performance**: In general, modern JavaScript engines are optimized for fast execution of array and object operations. However, if you're dealing with very large objects or performing many merges, this benchmark might still be relevant.
* **Readability**: When working on codebases where maintainability is crucial, using a more concise syntax like the spread operator can make your code easier to read and understand.

**Alternatives**

Other approaches for merging objects in JavaScript include:

* Using the `Object.assign()` method with an array of arguments (e.g., `Object.assign({}, firstObject, secondObject)`).
* Creating a new object using the `{ ...firstObject, ...secondObject }` syntax (although this is similar to the spread operator approach).

In conclusion, this benchmark provides a concise way to compare the performance of two popular approaches for merging objects in JavaScript: the spread operator and `Object.assign()`. By understanding the pros and cons of each approach, developers can make informed decisions about which method to use depending on their specific requirements.

Related benchmarks:

JavaScript spread operator vs Object.assign performance d (version: 0)

Comparing performance of: Using the spread operator vs Using Object.assign

Created: 4 years ago by: Guest

Jump to the latest result

Using the spread operator

Using 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):