Benchmark: chunk or splice - MeasureThat.net

HTML Preparation code:

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

Script Preparation code:

var data = [{
  type: 'aaa',
  data: [1, 2, 3, 4, 5, 6, 7],
}, {
  type: 'bbb',
  data: ['a', 'b', 'c', 'd', 'e', 'f', 'g'],
}];

Tests:

lodash
var chunkTableConfig = (conf, grade) => { const chunkLength = Math.ceil(conf[0].data.length / grade); return conf.reduce((acc, cur, curI) => { const chunkedData = _.chunk(cur.data, grade); acc.forEach((_el, elI) => { acc[elI][curI] = {...cur, data: chunkedData[elI]}; }); return acc; }, new Array(grade).fill(null).map(_ => [])); }; chunkTableConfig(data, 2);
splice
var chunkTableConfig = (conf, grade) => { const chunkLength = Math.ceil(conf[0].data.length / grade); return conf.reduce((acc, cur, curI) => { const shallowCopy = [...cur.data]; acc.forEach((_el, elI) => { acc[elI][curI] = {...cur, data: shallowCopy.splice(0, chunkLength)}; }); return acc; }, new Array(grade).fill(null).map(_ => [])); }; chunkTableConfig(data, 2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
splice

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 world of JavaScript microbenchmarks.

**Benchmark Overview**

The provided benchmark compares two approaches for chunking data: using Lodash's `chunk` function (`lodash`) versus a custom implementation that uses the `splice` method (`splice`). The benchmark tests how efficient these two approaches are in chunking an array of 7 elements into smaller chunks of size 2, 3, and 4.

**Lodash's `chunk` function**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as data manipulation, string manipulation, and more. The `chunk` function is used to split an array into fixed-size chunks. In this benchmark, Lodash's `chunk` function is used to create chunks of size 2.

Pros:

* Efficient implementation using a single loop
* Handles edge cases (e.g., arrays with less than the specified chunk size) well

Cons:

* Requires an external library (Lodash)
* Can be slower for very large arrays due to the overhead of creating multiple function calls

**Custom Implementation with `splice`**

The custom implementation uses the `splice` method to remove elements from the array and create chunks. This approach is simpler than Lodash's `chunk` function but can be less efficient.

Pros:

* No external dependencies (no need for Lodash)
* Can be faster for very large arrays since it avoids the overhead of creating multiple function calls

Cons:

* Less efficient implementation using two loops
* May not handle edge cases as well as Lodash's `chunk` function

**Other Considerations**

When choosing between these approaches, consider the following factors:

* Performance: If you're working with very large arrays or need extreme performance, the custom implementation with `splice` might be a better choice. However, for most use cases, Lodash's `chunk` function should provide sufficient performance.
* Code readability and maintainability: The custom implementation is simpler but may require more manual loop management. Lodash's `chunk` function provides a concise and readable way to chunk data.

**Alternatives**

If you're not using Lodash or prefer a different approach, other chunking algorithms available in JavaScript include:

1. `Array.prototype.slice()`: Similar to the custom implementation with `splice`, but uses a more explicit loop.
2. `Buffer.prototype.chunk()`: A method from the Node.js Buffer class that can be used for chunking large arrays of buffers.
3. Custom implementations using other libraries or techniques, such as using Web Workers or parallel processing.

In summary, Lodash's `chunk` function provides an efficient and readable way to chunk data, while the custom implementation with `splice` offers a simpler alternative without external dependencies. The choice between these approaches depends on your specific use case and performance requirements.

Related benchmarks:

chunk or splice (version: 0)

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Comparing performance of: lodash vs splice

Created: 3 years ago by: Guest

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lodash

splice

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):