Benchmark: lodash intersect vs filter2

HTML Preparation code:

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

Tests:

Lodash
var params = [ "hello", true, 7 ]; var params2 = [ "hello", true, 8 ]; var intersection = _.intersection(params, params2);
spread operator
var params = [ "hello", true, 7 ]; var params2 = [ "hello", true, 8 ]; var intersection = params.filter(param => params2.includes(param));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
spread operator

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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I'll break down the provided benchmark and explain what's being tested, compared, and their pros/cons.

**Benchmark Overview**

MeasureThat.net is testing two approaches for finding common elements between two arrays: Lodash's `intersection` function and the spread operator (`...`) with `includes()` method. The test case uses JavaScript, specifically ECMAScript 2015 (ES6) syntax.

**Lodash's `intersection` Function**

The `intersection` function is a part of the Lodash library, which provides utility functions for various tasks. In this case, it's used to find common elements between two arrays.

**Spread Operator (`...`) with `includes()` Method**

The spread operator (`...`) is a feature introduced in ES6 that allows creating new arrays from existing ones by spreading elements into an array literal. The `includes()` method is also part of the ECMAScript standard, and it's used to check if an element is present in an array.

**Comparison**

MeasureThat.net is comparing the performance of these two approaches:

1. **Lodash's `intersection` function**: This approach uses a dedicated library function specifically designed for this task.
2. **Spread operator (`...`) with `includes()` method**: This approach relies on built-in JavaScript features and doesn't require any external libraries.

**Pros and Cons**

**Lodash's `intersection` Function:**

Pros:

* Faster execution time, likely due to the optimized implementation in the Lodash library.
* Easier to read and maintain code, as it's a well-tested and widely used function.

Cons:

* Requires including an external library (Lodash) in the test environment.
* May not be suitable for projects where dependencies are restricted or unwanted.

**Spread Operator (`...`) with `includes()` Method:**

Pros:

* No additional library dependencies required.
* Easy to understand and implement, as it's a built-in JavaScript feature.

Cons:

* May have slower execution time compared to the Lodash implementation.
* Code readability might be affected if not written carefully (e.g., nesting nested includes).

**Other Considerations**

* The use of `includes()` method introduces an additional operation that can slow down the overall performance of the spread operator approach.
* If the input arrays are very large, the spread operator approach might be less efficient due to memory allocation and iteration costs.

**Alternatives**

If you're looking for alternative approaches to find common elements between two arrays, consider:

1. **Manual Loop**: Implement a manual loop using `for` loops or `forEach()` methods.
2. **Set Intersection**: Use the `Set` data structure to find common elements by converting both arrays to sets and finding their intersection.

In summary, MeasureThat.net is testing the performance of two approaches for finding common elements between two arrays: Lodash's optimized `intersection` function and the spread operator with `includes()` method. The choice of approach depends on project requirements, dependencies, and desired trade-offs between execution speed and code readability.

Related benchmarks:

lodash intersect vs filter2 (version: 0)

Comparing performance of: Lodash vs spread operator

Created: 3 years ago by: Guest

Jump to the latest result

Lodash

spread operator

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):