Benchmark: Unique vs set - MeasureThat.net

HTML Preparation code:

<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>

Tests:

Set
var l = new Set([1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]); return l;
Unique Sorted
var l = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq(l);
Unique Unsorted
var l = [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 6, 5, 4, 3, 2, 1]; return _.uniq(l);
map
var l = {}; l[1] = true; l[2] = true; l[3] = true; l[4] = true; l[5] = true; l[6] = true; return _.keys(l);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Set
Unique Sorted
Unique Unsorted
map

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what is tested, compared, and some considerations for each approach.

**Benchmark Definition**

The benchmark definition provides an overview of the test case. In this case, we have four different test cases:

1. `Unique vs set`: This test case compares the performance of a JavaScript set (`Set` object) with a standard JavaScript array.
2. `Unique Sorted`: This test case measures the performance of the `_.uniq()` function from the Lodash library on a sorted array.
3. `Unique Unsorted`: This test case measures the performance of the `_.uniq()` function on an unsorted array.
4. `map`: This test case tests the performance of getting keys from an object using the `_.keys()` function from Lodash.

**Options compared**

The options being compared are:

* A standard JavaScript array (`[]`)
* A JavaScript set (`Set` object)
* The `_.uniq()` function from Lodash library on a sorted and unsorted array
* Getting keys from an object using the `_.keys()` function from Lodash

**Pros and Cons of each approach**

1. **Standard JavaScript array**:
	* Pros: Native performance, no dependencies.
	* Cons: May have duplicate elements, which can lead to slower performance in some cases.
2. **JavaScript set**:
	* Pros: Efficient data structure for fast membership testing and insertion/deletion.
	* Cons: Not designed for random access or indexing, may be slower than arrays for certain operations.
3. **_.uniq() function from Lodash library** (on sorted array):
	* Pros: Provides a standardized way to remove duplicates, handles edge cases, and is optimized for performance.
	* Cons: Requires the Lodash library, which adds dependencies and may impact performance in some cases.
4. **_.keys()` function from Lodash library**:
	* Pros: Efficiently retrieves keys from an object, handles edge cases.
	* Cons: Requires the Lodash library, which adds dependencies.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for common tasks such as array manipulation, object iteration, and more. The `_.uniq()` function is used to remove duplicate elements from an array, while the `_.keys()` function is used to retrieve keys from an object.

**Special JS feature: None**

There are no special JavaScript features or syntax used in this benchmark.

**Other alternatives**

If you don't want to use the Lodash library, you can implement the same functionality using native JavaScript functions:

* For removing duplicates from an array: `Array.prototype.filter()`, `Array.prototype.indexOf()`, and conditional statements.
* For getting keys from an object: `Object.keys()`, `for...in` loop, or `for...of` loop.

Keep in mind that these alternatives may not be as efficient or convenient to use as the Lodash library functions.

Related benchmarks:

Unique vs set (version: 0)

Comparing performance of: Set vs Unique Sorted vs Unique Unsorted vs map

Created: 5 years ago by: Guest

Jump to the latest result

Set

Unique Sorted

Unique Unsorted

map

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):