Benchmark: Lodash filter length vs sumby

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/lodash/4.16.2/lodash.min.js"></script>

Script Preparation code:

window.array = [1, 4, 3, 4, 2, 2, 1, 5, 3, 5, 1, 4, 3, 4, 2, 2, 1, 5, 3, 5, 1, 4, 3, 4, 2, 2, 1, 5, 3, 5, 1, 4, 3, 4, 2, 2, 1, 5, 3, 5, 1, 4, 3, 4, 2, 2, 1, 5, 3, 5];

Tests:

Filter length
const x = _.filter(window.array, i => i === 3).length
Sum
const x = _.sumBy(window.array, i => i === 3 ? 1 : 0)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Filter length
Sum

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 explain what's being tested, compared, and their pros and cons.

**Benchmark Definition**

The benchmark is testing two different approaches to filter an array in JavaScript: using `_.filter()` with a callback function to get the length of the filtered array, and using `_.sumBy()` that sums up values where a condition is met (in this case, `i === 3`) and then converts the result to length.

**Options Compared**

The two options are:

1. **_.filter() + Length**: This approach uses `_.filter()` to create a new array with elements that match the condition (`i === 3`), and then gets the length of the resulting array using `.length`.
2. **_.sumBy() + Condition**: This approach uses `_.sumBy()` that sums up values where a condition is met (`i === 3 ? 1 : 0`). The result is then converted to length using the `length` property.

**Pros and Cons of Each Approach**

1. **_.filter() + Length**
	* Pros:
		+ Easy to understand and implement.
		+ No unnecessary computations (summing up values).
	* Cons:
		+ Creates a new array, which can be inefficient for large datasets.
		+ Might not be the most concise or readable way to achieve the goal.
2. **_.sumBy() + Condition**
	* Pros:
		+ More concise and potentially more efficient (since it's summing up values directly).
		+ Can avoid creating a new array.
	* Cons:
		+ Might require additional understanding of `_.sumBy()`'s behavior.
		+ The condition is applied after the sum, which might lead to unnecessary computations if not optimized.

**Library: Lodash**

Lodash (pronounced "lodash") is a popular JavaScript utility library that provides a wide range of functions for tasks like array manipulation, string manipulation, and more. In this benchmark, `_.filter()` and `_.sumBy()` are used from the `lodash` library to perform the filtering and summing operations.

**Special JS Feature/Syntax**

There isn't any special JavaScript feature or syntax being tested in this benchmark. The focus is on comparing two different approaches to achieve a specific goal (filtering an array).

**Other Alternatives**

If you were to implement these benchmarks yourself, you could also consider using other libraries like:

* `Array.prototype.filter()` and `Math.length` for the `_.filter() + Length` approach.
* `Array.prototype.reduce()` with a custom callback function for the `_.sumBy() + Condition` approach.

However, it's worth noting that Lodash provides these functions with optimized implementations and may be more efficient than implementing them yourself.

Related benchmarks:

Lodash filter length vs sumby (version: 0)

Comparing performance of: Filter length vs Sum

Created: 9 years ago by: Guest

Jump to the latest result

Filter length

Sum

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):