Benchmark: Lodash vs. Native (filter)

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>

Script Preparation code:

const limit = 10000000;
var array = [];

for (let i = 0; i < limit; i++) {
  array.push(i);
}

function getRandomIndex() {
  return Math.floor(Math.random() * array.length)
}

var element = array[getRandomIndex()];

Tests:

Native
array.filter(x => x !== element);
Lodash
_.remove(array, x => x === element);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Lodash

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.

I'd be happy to help explain the benchmark and its various components.

**Benchmark Definition and Script Preparation Code**

The provided JSON represents a JavaScript microbenchmark that compares two approaches for filtering an array: a native JavaScript implementation and a Lodash function. The script preparation code is:

```javascript
const limit = 10000000;
var array = [];
for (let i = 0; i < limit; i++) {
  array.push(i);
}

function getRandomIndex() {
  return Math.floor(Math.random() * array.length)
}
var element = array[getRandomIndex()];
```

This code creates a large array with 10 million elements, generates a random index to access an element in the array, and stores this value in the `element` variable. This is done to provide a consistent input for both benchmarking approaches.

**Html Preparation Code**

The HTML preparation code includes a script tag that loads the Lodash library:

```html
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>
```

This library provides various utility functions, including those used in the benchmark.

**Individual Test Cases**

There are two test cases defined in the JSON:

1. **Native**: The native JavaScript implementation uses the `filter()` method to remove elements from the array that do not match the `element` value.
```javascript
array.filter(x => x !== element);
```

2. **Lodash**: The Lodash function uses the `_remove()` function to remove elements from the array that match the `element` value:
```javascript
_.remove(array, x => x === element);
```

**Options Compared**

The two test cases compare the performance of:

* Native JavaScript implementation (using `filter()`)
* Lodash library implementation (`_remove()`)

**Pros and Cons of Different Approaches**

1. **Native Implementation**
	* Pros:
		+ Uses standard JavaScript APIs, making it more easily understandable and maintainable.
		+ Can be optimized for specific use cases or environments.
	* Cons:
		+ May require manual optimization to achieve optimal performance.
2. **Lodash Implementation**
	* Pros:
		+ Provides a pre-optimized implementation of the `remove()` function, reducing the need for manual optimization.
		+ Often includes additional features and error handling.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a collection of functions for various tasks, such as array manipulation (`filter()`, `_remove()`), string manipulation (`str.toUpperCase()`), etc. The library aims to provide a convenient and efficient way to perform common tasks without having to write custom code.

**Special JS Feature or Syntax**

There is no specific JavaScript feature or syntax used in this benchmark that requires special explanation.

**Other Considerations**

When running benchmarks, it's essential to consider factors such as:

* **Cache locality**: The order of elements in the array can affect performance. In this case, the random index generation ensures a consistent input.
* **Memory allocation**: The size of the array and its impact on memory allocation and garbage collection.

**Other Alternatives**

If you were to rewrite this benchmark using alternative approaches, consider:

* Using other library functions or implementations (e.g., `Array.prototype.filter()` from ES6)
* Implementing a custom, optimized algorithm for filtering the array
* Utilizing web worker or parallel processing techniques to improve performance

Keep in mind that each alternative may have its own trade-offs and considerations.

Related benchmarks:

Lodash vs. Native (filter) (version: 0)

Comparing performance of: Native vs Lodash

Created: 3 years ago by: Guest

Jump to the latest result

Native

Lodash

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):