Benchmark: Lodash filter - MeasureThat.net

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/3.10.1/lodash.js"></script>

Script Preparation code:

const arr = [];
for(let i=0; i < 100; i++){
  arr.push({ id: _.random(0, 5) });
}
function Arr(){
  return arr;
}

Tests:

Arrow Function Filter
_.filter(Arr(), (i) => i.id === 5);
Prop
_.filter(Arr(), 'id', 5);
Object
_.filter(Arr(), {id: 5});
Filter Prototype
Arr().filter((i) => i.id === 5);
Explicit Filter Prototype
Array.prototype.filter.call(Arr(), (i) => i.id === 5);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Arrow Function Filter
Prop
Object
Filter Prototype
Explicit Filter Prototype

Fastest: N/A

Slowest: N/A

Latest 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 and its test cases to understand what's being tested.

**Benchmark Definition**

The benchmark is based on the Lodash library, which provides functional programming utilities in JavaScript. The benchmark measures the performance of the `_.filter()` function with different approaches for filtering an array of objects.

**Script Preparation Code**

The script preparation code creates a JavaScript array `arr` with 100 elements, each having a random `id` property between 0 and 5. This array will be used as input for the benchmark tests.

**Html Preparation Code**

The HTML preparation code includes a script tag that loads the Lodash library from a CDN.

**Test Cases**

There are five test cases:

1. **Arrow Function Filter**: Uses an arrow function `(i) => i.id === 5` to filter the array.
2. **Prop**: Uses the `_.filter()` method with a string argument `'id'` and a value of 5 to filter the array.
3. **Object**: Uses the `_.filter()` method with an object `{id: 5}` as the filter criterion to filter the array.
4. **Filter Prototype**: Uses the `Arr().filter()` method (i.e., calling `Array.prototype.filter()` on a custom array `Arr()`) to filter the array.
5. **Explicit Filter Prototype**: Uses the `Array.prototype.filter.call(Arr(), ...)` syntax to explicitly call the `Array.prototype.filter()` method on the `Arr()` array.

**What's being tested?**

Each test case measures the performance of the corresponding filtering approach:

* The `_.filter()` method with an arrow function, string, or object as the filter criterion.
* The custom `Arr().filter()` method and its equivalent using `Array.prototype.filter.call()`.
* The built-in `Array.prototype.filter()` method.

**Pros and Cons**

Here's a brief summary of each approach:

1. **Arrow Function Filter**: Pros: concise, easy to read; Cons: may not be as efficient due to the creation of an intermediate scope.
2. **Prop**: Pros: simple, straightforward; Cons: may not work well with more complex filter criteria.
3. **Object**: Pros: flexible, can handle various filter criteria; Cons: may require additional setup or checks for object properties.
4. **Filter Prototype**: Pros: concise, uses a standard method; Cons: requires creating an array instance `Arr()` specifically for filtering.
5. **Explicit Filter Prototype**: Pros: explicit, easy to understand; Cons: verbose and may not be as efficient.

**Library and Purpose**

Lodash is a popular JavaScript library that provides functional programming utilities, including the `_.filter()` method. The purpose of this benchmark is to compare the performance of different filtering approaches and provide insights for developers who need to optimize their code.

**Special JS Features/Syntax (not applicable in this case)**

No special JavaScript features or syntax are used in these test cases.

Related benchmarks:

Lodash filter (version: 2)

Comparing performance of: Arrow Function Filter vs Prop vs Object vs Filter Prototype vs Explicit Filter Prototype

Created: 8 years ago by: Registered User

Jump to the latest result

Arrow Function Filter

Prop

Object

Filter Prototype

Explicit Filter Prototype

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):