Benchmark: set vs array iteration new new

Script Preparation code:

var a = Array(100000).fill(1);
var b = new Set(a)

Tests:

array
for (const x of a) {}
set
for (const x of b) {}

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
array
set

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one month ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36

Browser/OS: Chrome 128 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
array	8084.8 Ops/sec
set	7753675.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark is designed to compare the performance of two approaches: iterating over an array using a `for...of` loop, and iterating over a Set data structure (created from the array) using a `for...of` loop. The test script prepares an array and a set with 100,000 elements each.

**Options Compared**

The benchmark is comparing two options:

1. **Array iteration**: Iterating over the original array using a `for...of` loop.
2. **Set iteration**: Iterating over the Set data structure created from the array using a `for...of` loop.

**Pros and Cons of Each Approach**

* **Array Iteration**:
	+ Pros: This approach is likely to be more familiar and intuitive for developers, as it's a traditional way of iterating over arrays.
	+ Cons: For large datasets, iterating over an array can lead to slower performance due to the need to access and traverse each element individually.
* **Set Iteration**:
	+ Pros: Sets are optimized for fast lookups and iteration, making this approach potentially faster for large datasets.
	+ Cons: This approach may be less familiar or intuitive for developers who aren't familiar with Set data structures.

**Library and Purpose**

In the provided benchmark script, a library is not explicitly used. However, the `Set` data structure is being used, which is a built-in JavaScript data structure that provides fast lookup, insertion, and deletion operations.

**Special JS Feature or Syntax (None in this case)**

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

**Other Alternatives**

If you were to modify the benchmark or create new benchmarks, you might consider adding other alternatives or variations, such as:

* Using `for` loops instead of `for...of` loops
* Iterating over a linked list (if implementing from scratch)
* Using a custom data structure like a trie or suffix tree

Keep in mind that these alternative approaches would require additional script modifications to accommodate the changes.

**Benchmark Preparation Code Explanation**

The provided Script Preparation Code creates an array with 100,000 elements and fills it with values using `Array(100000).fill(1)`. It then creates a Set from this array using `new Set(a)`, where `a` is the reference to the array. This Set is used as input for both iteration tests.

**Individual Test Cases**

The benchmark has two test cases:

* "array": Iterates over the original array using a `for...of` loop.
* "set": Iterates over the Set data structure created from the array using a `for...of` loop.

These test cases are likely to provide insight into the performance differences between iterating over arrays and sets.

Related benchmarks:

set vs array iteration new new (version: 0)

Comparing performance of: array vs set

Created: 10 months ago by: Guest

Jump to the latest result

array

set

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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