Benchmark: unique elements in array comparing 10000 item arrays

HTML Preparation code:

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.js"></script>

Script Preparation code:

var firstEqual = [];
var secondEqual = [];

for (var i=0; i<=10000; i++) {
  firstEqual.push(i);
  secondEqual.push(i);
}

var elements = [...firstEqual, ...secondEqual];

Tests:

_.uniq
_.uniq(elements)
set with spread
[...new Set(elements)]
uniq by filter
elements.filter((v, i, a) => a.indexOf(v) === i)
set with array.from
Array.from(new Set(elements))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.uniq
set with spread
uniq by filter
set with array.from

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):

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Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Overview**

The provided benchmark measures the performance of different methods to find unique elements in an array of 10,000 items. The script preparation code creates two arrays, `firstEqual` and `secondEqual`, each populated with 10,000 consecutive integers from 0 to 9,999. These arrays are then merged into a single array called `elements`.

**Comparison of Methods**

The benchmark compares four methods:

1. **Lodash's `_.uniq`**: This method uses the Lodash library to find unique elements in the array.
2. **Set with spread (`[...new Set(elements)]`)**: This method converts the array into a set and then spreads its elements back into an array, effectively removing duplicates.
3. **Filtering by index (`elements.filter((v, i, a) => a.indexOf(v) === i)`)**: This method iterates over the array, filtering out elements that have already been encountered (i.e., those with duplicate indices).
4. **Array.from(new Set(elements))**: Similar to the previous method, but uses `Array.from()` to create an array from a set.

**Pros and Cons of Each Method**

1. **Lodash's `_._uniq`**:
	* Pros: Highly optimized, efficient, and tested by Lodash maintainers.
	* Cons: Requires an external library dependency, which may impact performance for smaller codebases.
2. **Set with spread (`[...new Set(elements)]`)**:
	* Pros: Fast, concise, and does not require additional dependencies.
	* Cons: Creates a new set, which can be memory-intensive, and might incur higher overhead due to the creation of an intermediate data structure.
3. **Filtering by index (`elements.filter((v, i, a) => a.indexOf(v) === i)`)**:
	* Pros: No additional dependencies required, and can take advantage of browser optimizations for array indexing.
	* Cons: May have higher performance overhead due to the filtering process and potential issues with duplicate indices.
4. **Array.from(new Set(elements))**:
	* Pros: Similar to the previous method, but avoids using `filter()` which might incur additional overhead.
	* Cons: Same memory-intensive concerns as the set-based approach.

**Other Considerations**

When choosing a method for finding unique elements in an array, consider factors such as:

* Code readability and maintainability
* Performance requirements (e.g., real-time applications, large datasets)
* Memory constraints (especially when working with sparse or large data sets)

In general, methods like Lodash's `_._uniq` and Set-based approaches are well-suited for most use cases due to their performance and conciseness. However, filtering by index might be a better choice if memory is a concern, while Array.from(new Set(elements)) provides a middle ground between the two.

**Library: Lodash**

Lodash is a popular JavaScript library that provides a wide range of utility functions for data manipulation, string manipulation, and more. The `_._uniq` method is one of its many optimizations for finding unique elements in an array.

**JavaScript Feature/ Syntax: None**

There are no special JavaScript features or syntax used in this benchmark, making it accessible to developers with varying levels of expertise in the language.

I hope this explanation helps you understand the provided benchmark and the methods being compared!

Related benchmarks:

unique elements in array comparing 10000 item arrays (version: 0)

Comparing performance of: _.uniq vs set with spread vs uniq by filter vs set with array.from

Created: 5 years ago by: Guest

Jump to the latest result

_.uniq

set with spread

uniq by filter

set with array.from

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):