Benchmark: Object VS new Set

Script Preparation code:

var a = [];
var b = {}

for (var i = 0; i < 5000; i++) {
    a.push(i);
    b[i] = `${i}`;
}

var set = new Set([...a]);

Tests:

new Set
set.has(4500)
Object
b[4500]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
new Set
Object

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):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases.

**Benchmark Definition:**

The benchmark is comparing the performance of two data structures in JavaScript:

1. **Object**: The test case uses an object (`b`) to store key-value pairs, where each value is a string representation of a number (`i`).
2. **new Set**: The test case creates a new Set instance from an array (`a`) and then checks if the set contains a specific value (4500).

**Script Preparation Code:**

The script preparation code initializes two variables:

* `a`: An empty array that will be used to create a Set instance.
* `b`: An empty object that will be used to store key-value pairs.

The code then loops 5000 times, pushing elements onto the `a` array and assigning string values to the corresponding keys in the `b` object. Finally, it creates a new Set instance from the `a` array using the spread operator (`[...a]`) and assigns it to the `set` variable.

**Html Preparation Code:**

There is no HTML preparation code provided for this benchmark.

**Library Used:**

In this benchmark, the `Set` class is used. The Set data structure is a collection of unique values, which can be used to keep track of elements without duplicates. In JavaScript, Sets are implemented as instances of the `Set` class.

**Special JS Feature/Syntax:**

This benchmark does not use any special JavaScript features or syntax.

**Pros and Cons of Different Approaches:**

Here's a brief analysis of the two approaches:

1. **Object (b[4500])**:
	* Pros:
		+ Simple and straightforward implementation.
		+ Easy to understand and maintain.
	* Cons:
		+ Performance might be slower due to the overhead of object lookups.
2. **new Set (set.has(4500))**:
	* Pros:
		+ Fast lookups with an average time complexity of O(1).
		+ Efficient use of memory for large datasets.
	* Cons:
		+ Requires creating a new Set instance, which can be slower than using an object.
		+ May require additional memory allocation.

**Other Considerations:**

When choosing between these two approaches, consider the specific requirements and constraints of your application. If you need fast lookups with minimal overhead, `new Set` might be the better choice. However, if simplicity and ease of maintenance are more important, using an object like `b` might be sufficient.

**Alternatives:**

Other alternatives to these two approaches include:

1. **Using a Map**: Instead of using an object, you could use a Map data structure, which provides fast lookups with an average time complexity of O(1).
2. **Using a WeakMap**: If the keys in your Set or Object are not reference equality-aware, consider using a WeakMap instead.
3. **Using a Data Structure like `WeakSet`**: In some cases, you might need to use a data structure that is similar to a Set but provides additional features, such as the `WeakSet` class.

Keep in mind that these alternatives might require more complex implementations or additional dependencies, so consider the trade-offs when choosing an alternative approach.

Related benchmarks:

Object VS new Set (version: 0)

Comparing performance of: new Set vs Object

Created: 4 years ago by: Guest

Jump to the latest result

new Set

Object

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):