Benchmark: _.merge vs _.assign vs JS reduce

HTML Preparation code:

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

Script Preparation code:

var array = Array(1000).fill().map((_, index) => ({
    [(Math.random() + 1).toString(36).substring(2)]: index
}))

Tests:

Lodash merge
_.merge({}, ...array)
Lodash assign
_.assign({}, ...array)
Js reduce
array.reduce((acc, item) => ({...acc, ...item}), {})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash merge
Lodash assign
Js reduce

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36 Edg/133.0.0.0

Browser/OS: Chrome 133 on Mac OS X 10.15.7

View result in a separate tab

Lodash assign

3K/s

Lodash merge

2K/s

Js reduce

26/s

View exact numbers

Test name	Executions per second
✓ Lodash assign	3,344 Ops/sec
Lodash merge	1,719 Ops/sec
Js reduce	26 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into explaining the benchmark.

**Overview**

The provided JSON represents a JavaScript microbenchmarking test created using MeasureThat.net. The test compares the performance of three approaches: Lodash `merge` and `assign` functions, as well as the native `reduce` method in JavaScript.

**Test Cases**

There are three individual test cases:

1. **Lodash merge**: This test case measures the performance of Lodash's `merge` function, which merges multiple objects into a single object.
2. **Lodash assign**: Similar to the previous one, this test case measures the performance of Lodash's `assign` function, but it assigns values from an array of objects to a target object.
3. **Js reduce**: This test case uses the native `reduce` method in JavaScript to merge multiple objects into a single object.

**Approaches Compared**

The three approaches are compared in terms of their execution time on the provided dataset of 1000 objects, each with random properties and values.

**Pros and Cons**

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

* **Lodash `merge` and `assign`**: These functions provide a convenient and readable way to merge objects. However, they might incur additional overhead due to their implementation complexity. The performance difference between these two functions is relatively small.
* **Native `reduce`**: This method provides a lightweight and efficient way to merge objects. It's often used in functional programming and can be more intuitive for developers familiar with it.

**Considerations**

When choosing an approach, consider the following factors:

* Readability: If you prioritize readability, Lodash's `merge` and `assign` functions might be more suitable.
* Performance: If performance is critical, the native `reduce` method or a custom implementation using a loop might be a better choice.
* Complexity: If you're dealing with complex data structures or need to merge objects recursively, Lodash's `merge` function might be more suitable.

**Library and Purpose**

The included Lodash library provides several utility functions for JavaScript, including `merge` and `assign`. These functions can simplify common tasks such as merging objects and arrays.

**Special JS Feature/Syntax (Not Applicable)**

This benchmark does not use any special JavaScript features or syntax that would affect the performance comparison.

**Alternatives**

If you're looking for alternative approaches to merge objects, here are a few options:

* **Using a loop**: You can use a simple loop to iterate over the object properties and assign values. This approach is lightweight but might be less readable than using Lodash's `merge` or native `reduce` methods.
* **Using a custom implementation**: You can write a custom function to merge objects, which might provide better performance if you're dealing with complex data structures.

Keep in mind that the choice of approach ultimately depends on your specific use case and requirements.

_.merge vs _.assign vs JS reduce (version: 0)

Comparing performance of: `Lodash merge vs Lodash assign vs Js reduce`

Created: 2 years ago by: Guest

Go to the latest result

Lodash merge

Lodash assign

Js reduce

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

_.merge vs _.assign vs JS reduce (version: 0)

Comparing performance of: Lodash merge vs Lodash assign vs Js reduce

Created: 2 years ago by: Guest

Go to the latest result

Lodash merge

Lodash assign

Js reduce

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `Lodash merge vs Lodash assign vs Js reduce`