Benchmark: Object.assign vs spread -- No jQuery

Tests:

Object.assign
var params = { b:"hello", c: true, d:7 }; var other = Object.assign({ a: 2 }, params);
spread operator
var params = { b:"hello", c: true, d:7 }; var other = { a: 2, ...params };

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Object.assign
spread operator

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 benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark is defined by a JSON object that contains information about the test case. The key aspects of this definition are:

* `Name`: A human-readable name for the benchmark, which in this case is "Object.assign vs spread -- No jQuery".
* `Description`: An optional description of the benchmark, but it's empty in this case.
* `Script Preparation Code` and `Html Preparation Code`: These fields are left blank, suggesting that the test requires no specific setup or preparation code.

**Individual Test Cases**

The benchmark consists of two individual test cases:

1. **Object.assign**
This test case uses the `Object.assign()` method to merge an object with another object. The benchmark definition is:
```javascript
var params = { b: "hello", c: true, d: 7 };
var other = Object.assign({ a: 2 }, params);
```
The idea behind this test case is likely to measure the performance of `Object.assign()` when used as an assignment operator.

2. **Spread Operator**
This test case uses the spread operator (`...`) to merge objects. The benchmark definition is:
```javascript
var params = { b: "hello", c: true, d: 7 };
var other = { a: 2, ...params };
```
The idea behind this test case is likely to measure the performance of the spread operator when used as an assignment operator.

**Library and Special Features**

In both test cases, no libraries are explicitly mentioned. However, it's worth noting that `Object.assign()` has been part of the ECMAScript standard since 2015 (ES6), while the spread operator (`...`) was introduced in ES2018.

**Options Compared**

The two options being compared are:

* **`Object.assign()`**: A built-in method for merging objects.
* **Spread Operator (`...`)**: A syntax feature introduced in ES2018, allowing objects to be merged using the spread operator.

**Pros and Cons of Each Approach**

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

* **`Object.assign()`**: Pros:
	+ Widespread adoption and implementation
	+ Simple and intuitive API
	+ Supports deep merging (i.e., merging objects with nested properties)
* Cons:
	+ Can be slower due to its method call overhead
	+ May have limitations in certain browsers or environments
* **Spread Operator (`...`)**: Pros:
	+ More concise and expressive syntax
	+ Faster performance compared to `Object.assign()`
	+ Supports shallow merging by default (i.e., only merging top-level properties)
* Cons:
	+ Requires modern JavaScript engines that support ES2018+
	+ May not work in older browsers or environments

**Other Considerations**

When comparing the performance of these two approaches, consider factors such as:

* Browser and environment support
* Object size and complexity (e.g., deeply nested objects)
* Data type and format (e.g., JSON vs. native JavaScript objects)

In terms of alternative approaches, other methods for merging objects could include:

* Using libraries like Lodash or Underscore.js
* Implementing custom merge functions using JavaScript's array or object methods
* Using string concatenation with `+`

Keep in mind that the choice of approach often depends on specific use cases, personal preference, and the requirements of your project.

Related benchmarks:

Object.assign vs spread -- No jQuery (version: 0)

Comparing performance of: Object.assign vs spread operator

Created: 7 years ago by: Guest

Jump to the latest result

Object.assign

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):