Benchmark: Set vs Object vs Map 2

Tests:

Set
const set = new Set(["one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten"]); const hasSeven = set.has('seven');
Object
const set = {"one": true, "two": true, "three": true, "four": true, "five": true, "six": true, "seven": true, "eight": true, "nine": true, "ten": true}; const hasSeven = set['seven'] === true;
Map
const set = new Map([["one", true], ["two", true], ["three", true], ["four", true], ["five", true], ["six", true], ["seven", true], ["eight", true], ["nine", true], ["ten", true]]); const hasSeven = set.has('seven');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Set
Object
Map

Fastest: N/A

Slowest: N/A

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

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

**Benchmark Overview**

The benchmark compares three data structures in JavaScript: Sets, Objects, and Maps. Each test case measures the execution time of searching for an element (in this case, 'seven') within each data structure.

**Options Compared**

1. **Set**: An object that stores unique values. It uses a hash table internally to store elements, which allows for efficient lookups.
2. **Object**: A fundamental JavaScript data type that can hold any value. In the context of this benchmark, we're using it as an alternative to Sets.
3. **Map**: An object that stores key-value pairs. Like Sets, it uses a hash table internally.

**Pros and Cons**

1. **Set**:
	* Pros: Fast lookups (average O(1) time complexity), efficient memory usage, and good performance for unique values.
	* Cons: May not be suitable for non-unique data, requires creating an instance of the Set class.
2. **Object**:
	* Pros: Widely supported, easy to use, and can store any type of value.
	* Cons: Slow lookups (average O(1) time complexity), inefficient memory usage compared to Sets or Maps, may lead to slower performance for large datasets.
3. **Map**:
	* Pros: Similar to Sets but with the added benefit of key-value pairs, fast lookups (average O(1) time complexity), and good performance for large datasets.
	* Cons: May require more memory than Sets, less intuitive API compared to Objects.

**Library Usage**

None of the test cases explicitly use a library. However, it's worth noting that if you were to implement or compare other data structures like Arrays, Linked Lists, or Trees in this benchmark, additional libraries or dependencies might be required.

**Special JavaScript Features or Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark. The focus is on comparing the performance of different data structures within standard JavaScript.

**Alternative Approaches**

To further improve this benchmark or explore other data structures, you could consider:

1. Adding more test cases with varying input sizes (e.g., small, medium, large datasets).
2. Including additional data structures like Arrays, Linked Lists, or Trees.
3. Investigating parallel execution of the tests for better performance measurements.
4. Comparing performance on different devices or operating systems.

Keep in mind that the specific approach and test cases will depend on your research goals and the JavaScript features you want to investigate.

Related benchmarks:

Set vs Object vs Map 2 (version: 0)

Comparing performance of: Set vs Object vs Map

Created: 2 years ago by: Guest

Jump to the latest result

Set

Object

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):