Benchmark: lodash-chunk-vs-custom-chunk-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 test = new Array(100000).fill(null).map(() => ({test: Math.random(), otherTest: { test: Math.random(), otherTest: { test: Math.random() } } }));

function chunk(data, size) {
  const chunks = [];
  const numChunks = Math.floor(data / size);
  for (let i = 0; i <= numChunks; i++) {
    const start = i * size;
    chunks.push(data.slice(start, size));
  }
  return chunks;
}

Tests:

Custom Chunk
chunk(test,5000)
lodash chunk
_.chunk(test,5000)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Custom Chunk
lodash chunk

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 definition and test cases to understand what's being tested.

**Benchmark Definition**

The benchmark definition is represented as a JSON object, which contains information about the test case. In this case, there are two test cases: `Custom Chunk` and `lodash chunk`.

The "Script Preparation Code" section defines a JavaScript array of 100,000 objects, each with two properties: `test` and `otherTest`. The purpose of this data structure is not explicitly stated, but it appears to be a collection of random values that will be used for benchmarking purposes.

**Chunk Function**

The "Script Preparation Code" also includes a custom `chunk` function, which takes two arguments: `data` and `size`. This function splits the input `data` array into smaller chunks of size `size`, and returns an array of these chunks. The function uses a simple loop to calculate the start index for each chunk and then uses the `slice()` method to extract the corresponding subset of elements from the original array.

**Options being compared**

The two test cases are comparing the performance of the custom `chunk` function (`Custom Chunk`) versus the official `_chunk` function from Lodash (`lodash chunk`). The main difference between these functions is:

*   Custom Chunk: Uses a simple loop to calculate the start index for each chunk and then uses the `slice()` method to extract the corresponding subset of elements.
*   lodash chunk: Utilizes an optimized implementation that takes advantage of browser optimizations, such as caching and iteration optimization.

**Pros and Cons**

Here are some pros and cons associated with each approach:

*   Custom Chunk:
    *   **Easy to implement**: Requires minimal code and is straightforward to understand.
    *   **Less efficient**: Uses a simple loop and `slice()` method, which can lead to slower performance compared to the optimized implementation of lodash chunk.
*   lodash chunk:
    *   **Optimized for performance**: Takes advantage of browser optimizations, making it potentially faster than the custom implementation.
    *   **Dependent on Lodash**: Requires importing and including the Lodash library, which may add unnecessary overhead.

**Library**

The `lodash` library is a popular JavaScript utility library that provides various functions for tasks such as array manipulation, string processing, and more. In this case, the `_chunk` function from Lodash is being used to split an array into smaller chunks.

**Special JS Feature/Syntax**

There are no special JS features or syntaxes mentioned in the provided code. However, some older browsers may not support modern JavaScript features like `let`, `const`, and arrow functions. The benchmarking setup ensures that these tests should run on most modern browsers with minimal issues.

**Alternatives**

If you were to recreate this benchmark, you could explore alternative chunking algorithms or libraries, such as:

*   `Array.prototype.slice()` with a custom callback function.
*   Using `reduce()` to create chunks instead of `slice()`.
*   Employing a different library like [Chunker.js](https://github.com/kevanshaw/chunker), which provides an optimized chunking algorithm.

Keep in mind that any alternative approach would need to be thoroughly tested for performance and compatibility across various browsers and devices.

Related benchmarks:

lodash-chunk-vs-custom-chunk-2 (version: 0)

Comparing performance of: Custom Chunk vs lodash chunk

Created: 2 years ago by: Guest

Jump to the latest result

Custom Chunk

lodash chunk

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):