Benchmark: lodash groupBy vs Array.forEach 100k

HTML Preparation code:

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

Script Preparation code:

var max2 = 100000;

var data = [];
for (var i = 0; i <= max2; i++) { data.push({ id: i }); }

Tests:

Lodash
_.groupBy(data, ({ id }) => id)
Native
acc = {}; data.forEach(item => { acc[item.id] = item; })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Native

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 provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark is designed to compare two approaches for grouping data: using the `lodash` library (specifically, its `groupBy()` function) versus implementing it manually with native JavaScript. The benchmark measures the execution speed of both approaches on a dataset of 100,000 objects.

**Benchmark Definition JSON**

The benchmark definition contains two sections:

1. **Script Preparation Code**: This code sets up the test environment by creating an array `data` with 100,000 objects, each with an `id` property.
2. **Html Preparation Code**: This code includes a reference to the `lodash` library (version 4.17.5) in the HTML file.

**Individual Test Cases**

The benchmark consists of two test cases:

1. **Lodash**: The first test case uses the `groupBy()` function from the `lodash` library, passing the `data` array as an argument and a callback function that extracts the `id` property from each object.
2. **Native**: The second test case implements the grouping logic manually using a simple accumulator-based approach.

**Pros and Cons of Each Approach**

1. **Lodash**:
	* Pros:
		+ Convenient and concise implementation
		+ Built-in functionality with no additional setup required
	* Cons:
		+ May introduce overhead due to library dependencies
		+ Less control over the grouping process compared to native implementation
2. **Native**:
	* Pros:
		+ More control over the grouping process
		+ No dependency on external libraries
	* Cons:
		+ Requires more code and setup effort
		+ May be less efficient due to manual iteration

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for data manipulation, object creation, and functional programming. The `groupBy()` function is used to group elements in an array based on a property value. In this benchmark, the `groupBy()` function is used to group the `data` array by the `id` property.

**Special JavaScript Feature/Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark.

**Other Alternatives**

Other alternatives for grouping data could include:

* Using other libraries like Underscore.js or Moment.js
* Implementing the grouping logic using a different data structure, such as a Map or a Set
* Using async/await or Promises to handle asynchronous operations

However, it's worth noting that Lodash is a widely-used and well-maintained library, and its `groupBy()` function is likely to be an efficient and convenient choice for many use cases.

Related benchmarks:

lodash groupBy vs Array.forEach 100k (version: 0)

Comparing performance of: Lodash vs Native

Created: 3 years ago by: Guest

Jump to the latest result

Lodash

Native

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):