Benchmark: lodash groupBy vs Array.reduce 100k v3

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 = 1000000;

var data = [];
for (var i = 0; i <= max2; i++) { data.push({ id: i }); }

Tests:

Lodash
_.groupBy(data, ({ id }) => id)
Native
var k = {}; for (var i = 0; i < data.length; i++) { if (k[data[i].id]) { k[data[i].id].push(data[i]); } else { k[data[i].id] = [data[i]]; } }

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):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark compares the performance of two approaches to group data by an ID:

1. **Lodash**: Using the `_.groupBy` function from the Lodash library, which is a utility library that provides functions for functional programming tasks.
2. **Native**: A custom implementation using a simple loop to group the data by ID.

**Options Compared**

The benchmark compares the performance of these two approaches:

* `_.groupBy(data, ({ id }) => id)`: This uses the Lodash library's `groupBy` function to split an array into an object with keys based on the value returned by the provided callback function.
* `var k = {}; ...`: This is a custom implementation that iterates through the data array and groups it by ID using a nested object structure.

**Pros and Cons of Each Approach**

### Lodash (`_.groupBy`)

Pros:

* Concise and readable code
* Reduces boilerplate code for grouping data
* Well-tested and widely used library

Cons:

* Adds an external dependency (the Lodash library)
* May have performance overhead due to the need to load and initialize the library
* May not be as optimized for specific use cases or edge cases

### Native (`var k = {}; ...`)

Pros:

* No external dependencies, which can result in faster loading times and reduced memory usage.
* Can be optimized for specific use cases or edge cases.

Cons:

* More verbose code compared to the Lodash implementation
* Requires manual handling of edge cases (e.g., empty arrays, null/undefined values)
* May require more development time and expertise to optimize correctly.

**Library: Lodash**

Lodash is a popular utility library for JavaScript that provides a wide range of functions for functional programming tasks. The `_.groupBy` function is one of its most useful features, allowing developers to easily split an array into an object with keys based on the value returned by a callback function.

**Special JS Feature/Syntax: None**

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

**Other Alternatives**

If you need to group data by ID in a JavaScript application, other alternatives to Lodash's `_.groupBy` include:

* Using `Array.prototype.reduce()` and an object to accumulate the grouped data
* Utilizing a library like `ramda` (a functional programming library for JavaScript)
* Implementing a custom grouping algorithm using `Array.prototype.forEach()` and a nested object structure

Keep in mind that the choice of alternative will depend on your specific use case, performance requirements, and personal preference.

Related benchmarks:

lodash groupBy vs Array.reduce 100k v3 (version: 0)

Comparing performance of: Lodash vs Native

Created: 5 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):