Benchmark: lodash groupBy vs Array.reduce 2

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 = 10000000; // 10,000,000 (100 Million)

var data = [];
for (var i = 0; i <= max2; i++) { data.push({ id: i }); }

Tests:

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

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 dive into the explanation of what is being tested in this benchmark.

**Benchmark Overview**

This benchmark compares two approaches to group data by an identifier: Lodash's `groupBy` function and JavaScript's built-in `Array.prototype.reduce` method.

**Options Compared**

The two options being compared are:

1. **Lodash's `groupBy` function**: This is a utility function from the popular JavaScript library Lodash. It groups an array of objects by a specified key.
2. **JavaScript's built-in `Array.prototype.reduce` method**: This is a standard JavaScript method that applies a reduction function to each element in an array.

**Pros and Cons**

**Lodash's `groupBy` function:**

Pros:

* Convenient and readable syntax
* Optimized for performance and memory usage
* Robust error handling

Cons:

* Adds dependency on Lodash library
* May have additional overhead due to the library's execution context

**JavaScript's built-in `Array.prototype.reduce` method:**

Pros:

* Native JavaScript implementation, no external dependencies
* Lightweight and efficient
* Familiar syntax for experienced developers

Cons:

* Requires manual handling of edge cases and error management
* Less readable syntax compared to Lodash's `groupBy`

**Other Considerations**

When choosing between these two approaches, consider the following factors:

* Performance: If speed is critical, JavaScript's built-in `Array.prototype.reduce` method might be a better choice.
* Readability: Lodash's `groupBy` function provides a more readable and concise syntax.
* Dependency on external libraries: If you want to avoid adding an external dependency, choose JavaScript's native implementation.

**Library and Syntax**

The library being used in this benchmark is Lodash, which is a popular JavaScript utility library. Its `groupBy` function is designed to simplify data grouping and aggregation tasks.

There are no special JavaScript features or syntaxes being tested in this benchmark. The focus is on comparing the performance of two established approaches.

**Alternatives**

If you're looking for alternatives to these approaches, consider:

* Other group-by libraries like Moment.js or Underscore.js
* Custom implementation using a different algorithm or data structure (e.g., using a hash table or trie)
* Using other JavaScript methods, such as `Array.prototype.forEach` or `Array.prototype.map`, in combination with additional logic to achieve grouping

Related benchmarks:

lodash groupBy vs Array.reduce 2 (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):