Benchmark: Includes vs Direct access

Script Preparation code:

var arr1 = ['one', 'two', 'three', 'four', 'five', 'six'];
var arr2 = {
    'one': true,
    'two': true,
    'three': true,
    'four': true,
    'five': true,
    'six': true
}

Tests:

Includes
arr1.includes("six")
Direct
arr2["six"]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Includes
Direct

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 and explore what's being tested on MeasureThat.net.

**Benchmark Definition**

The provided JSON represents a benchmark named "Includes vs Direct access". The script preparation code defines two arrays: `arr1` and `arr2`. `arr1` is an array with six string elements, while `arr2` is an object where each key has the same value as in `arr1`.

**Options Compared**

The benchmark compares two approaches to accessing an element:

1. **Direct Access**: Using bracket notation (`arr2['six']`) to access a specific element.
2. **Includes Method**: Using the `includes()` method (`arr1.includes('six')`) to check if a certain element exists in the array.

**Pros and Cons of Each Approach**

**Direct Access (Bracket Notation)**

Pros:

* Can be more efficient when accessing a specific element, as it allows for early return if the index is out of bounds.
* May be faster due to less overhead compared to function calls.

Cons:

* Requires manual indexing, which can lead to errors or off-by-one issues if not handled correctly.
* Less readable and maintainable code, especially in larger projects.

**Includes Method**

Pros:

* More readable and maintainable code, as it clearly expresses the intent of checking for an element's presence.
* Reduces the risk of index-related errors or off-by-one issues.
* Can be more efficient if you're only using `includes()` with arrays (i.e., not with objects).

Cons:

* Slower due to the function call overhead and the iteration process inside `includes()`.
* May not be as efficient when accessing a specific element, especially for large datasets.

**Library: Lodash**

In one of the test cases, the benchmark definition uses Lodash's `includes()` method. Lodash is a popular JavaScript library that provides utility functions to simplify common tasks. The `includes()` function checks if an array includes a specified value and returns a boolean result.

The purpose of using Lodash in this benchmark is likely to demonstrate the performance difference between the two approaches on a specific dataset (in this case, an array with six elements). By using the same library for both tests, MeasureThat.net can isolate the effect of the approach being tested.

**Special JS Feature: Iterators**

In JavaScript, arrays have built-in support for iteration using iterators. The `includes()` method uses this feature to iterate over the array and check if a specific value exists. This is why `includes()` may be slower than direct access in certain cases.

However, it's worth noting that the impact of iterators on performance is relatively small compared to other factors like function call overhead or data size. Nevertheless, understanding how iterators work can help you optimize your code for better performance and readability.

**Other Alternatives**

If you're looking for alternative approaches to accessing elements in JavaScript arrays, consider the following:

* Using `forEach()` with a callback function to iterate over the array.
* Implementing your own custom iteration logic using loops or recursive functions.
* Utilizing modern features like `for...of` loops or `Array.prototype.some()` (not available in older browsers).

Keep in mind that each approach has its trade-offs, and the best choice depends on your specific use case, performance requirements, and personal coding style.

Related benchmarks:

Includes vs Direct access (version: 0)

Comparing performance of: Includes vs Direct

Created: 3 years ago by: Guest

Jump to the latest result

Includes

Direct

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):