Benchmark: Update data from Object (Spread vs. Object.assign)

Tests:

Update Object with Object.assign
const imutableObject = { name: 'David Walsh', age: 33, role: "Developer", status: "active" }; const newObject = Object.assign({}, imutableObject, {status: "inactive"});
Update Object with Spread Operator
const imutableObject = { name: 'David Walsh', age: 33, role: "Developer", status: "active" }; const newObject = {...imutableObject, status: "inactive"};

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Update Object with Object.assign
Update Object with Spread Operator

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 benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark definition is a JSON object that describes the test case. In this case, there are two test cases:

1. "Update data from Object (Spread vs. Object.assign)"
2. "Update Object with Object.assign"
3. "Update Object with Spread Operator"

These test cases compare the performance of two approaches to update an immutable object in JavaScript.

**Options Compared**

The options being compared are:

* Using the `Object.assign()` method
* Using the spread operator (`...`)

Both methods aim to update the properties of an existing object while preserving its immutability.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

1. **Object.assign()**
	* Pros:
		+ Well-established and widely supported
		+ Can handle nested objects and arrays
	* Cons:
		+ May not be as efficient as the spread operator, especially for large objects
		+ Can lead to unnecessary re-assignments of variables (e.g., `const newObject = Object.assign({}, imutableObject)` instead of just `{...imutableObject}`)
2. **Spread Operator (`...`)**

* Pros:
	* More concise and readable
	* Can be more efficient, especially for large objects
	* Reduces unnecessary re-assignments
* Cons:
	* May not work with all browsers or older versions of JavaScript (although most modern browsers support it)
	* Can lead to unexpected behavior if not used carefully

**Library/JS Feature**

There is no specific library being tested in this benchmark. However, both `Object.assign()` and the spread operator rely on the JavaScript language itself.

**Test Case Description**

In each test case, an immutable object (`imutableObject`) is defined with some properties (e.g., `name`, `age`, `role`, and `status`). Then, either using `Object.assign()` or the spread operator, a new object (`newObject`) is created by updating one of the existing properties. The updated objects are then compared.

**Benchmark Preparation Code**

The script preparation code for each test case simply defines the `imutableObject` and creates the `newObject` instance using either `Object.assign()` or the spread operator.

**Other Alternatives**

If you were to create your own benchmark, here are some alternative approaches to consider:

* Using `lodash.assign()` or other utility libraries that provide more efficient and flexible object assignment methods.
* Comparing the performance of different object creation strategies (e.g., using `Object.create()`, `Object.new()`, or creating a new object with the `new` keyword).
* Testing the performance impact of various data structures, such as arrays vs. objects or different types of arrays (e.g., dense vs. sparse).

Keep in mind that benchmarking is often about exploring specific use cases and optimizing code for particular scenarios. The approach you choose will depend on your goals and the specific requirements of your project.

Related benchmarks:

Update data from Object (Spread vs. Object.assign) (version: 0)

Comparing performance of: Update Object with Object.assign vs Update Object with Spread Operator

Created: 7 years ago by: Registered User

Jump to the latest result

Update Object with Object.assign

Update Object with Spread Operator

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):