Benchmark: native-splice-vs-chunk

HTML Preparation code:

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

Script Preparation code:

var test = Array.from({
    length: 100000
}, () => Math.random())

Tests:

Native splice
test.splice(0,5000)
lodash chunk
_.chunk(test,5000)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native splice
lodash chunk

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) Gecko/20100101 Firefox/115.0

Browser/OS: Firefox 115 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
Native splice	37600824.0 Ops/sec
lodash chunk	25858514.0 Ops/sec

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 definition and its test cases.

**Benchmark Definition Overview**

The benchmark measures the performance of JavaScript arrays when using two different approaches:

1. `splice`: Native array method to remove elements from an array.
2. `_chunk`: A function from the Lodash library that splits an array into smaller chunks.

These two approaches are compared in terms of their execution time, measured by the number of executions per second (ExecutionsPerSecond).

**Options Compared**

The test cases compare:

1. **Native Array Splice**: The built-in `splice` method in JavaScript arrays to remove elements.
2. **Lodash Chunk**: A function from the Lodash library (`_chunk`) that splits an array into smaller chunks.

**Pros and Cons of Each Approach**

### Native Array Splice

Pros:

* Wide browser support since it's a native method.
* Simple to implement and understand.

Cons:

* Can be slow for large arrays due to its dynamic nature, requiring repeated allocations and deallocations of memory.
* May lead to better performance in some cases, especially when the array is mostly full.

### Lodash Chunk

Pros:

* Optimized for performance by using a fixed-size chunk size.
* Handles edge cases like empty or single-element arrays correctly.
* Often used in production code due to its reliability and maintainability.

Cons:

* May not be supported in older browsers that don't have the Lodash library.
* Can be less efficient than native methods if the array is mostly full, leading to repeated allocations and deallocations of memory.

**Other Considerations**

The benchmark also considers the following factors:

* The JavaScript engine being used by the browser (e.g., SpiderMonkey in Firefox).
* The operating system and device platform (in this case, Mac OS X 10.15 on a desktop).

**Library: Lodash**

Lodash is a popular utility library for JavaScript that provides a wide range of functions for tasks like array manipulation, string processing, and more. `_chunk` is one of the many functions available in Lodash that can be used to split an array into smaller chunks.

**Special JS Features/Syntax**

None mentioned directly, but note that some browsers may have specific features or syntax enabled (e.g., `let` vs. `var`, arrow functions, etc.) that could potentially affect the performance of these tests. However, this is not explicitly mentioned in the provided benchmark definition.

**Alternatives**

Other alternatives for array splitting or chunking include:

* `Array.prototype.slice()`: Similar to `splice`, but returns a new array instead of modifying the original.
* `Array.prototype.subarray()`: Similar to `slice`, but returns an array view into the original array, allowing for more efficient modifications.
* Other libraries like Underscore.js or Ramda may also provide similar functionality.

Keep in mind that these alternatives might have different performance characteristics and use cases compared to Lodash's `_chunk` function.

Related benchmarks:

native-splice-vs-chunk (version: 0)

Comparing performance of: Native splice vs lodash chunk

Created: 2 years ago by: Guest

Jump to the latest result

Native splice

lodash chunk

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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