Benchmark: ~ Hashmap vs Array.Filter 10

Script Preparation code:

const counter = 10
const map = new Map()
const array = new Array(counter)

window.counter = counter
window.map = map
window.array = array
for (let i = 10000; i < 10000+counter; i++) {
    map.set(i)
    array[counter] = i
}

Tests:

Hashmap
for (let i = 0; i < 20000; i++) { window.map.has(10009) }
Array.filter
for (let i = 0; i < 20000; i++) { window.array.filter((value) => value === 10009) }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Hashmap
Array.filter

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.

I'd be happy to help explain the provided benchmark and its options.

**Overview**

The provided JSON represents a JavaScript microbenchmark that compares the performance of two different approaches: using a `Map` (hashmap) and using an array's built-in filtering method (`Array.filter`). The test case is designed to measure which approach is faster for a specific scenario.

**Script Preparation Code**

The script preparation code creates the following variables:

* `counter`: an integer variable set to 10
* `map`: a new instance of the `Map` object
* `array`: a new instance of the `Array` object with a length of `counter`
* Three window variables (`window.counter`, `window.map`, and `window.array`) that are exposed in the benchmark environment.

The script then populates the `array` with values from 0 to `counter-1` using a loop, and sets each value in the `map` using another loop. The total number of iterations is set to `10000 + counter`.

**Benchmark Test Cases**

There are two test cases:

1. **Hashmap**: This test case uses the `Map` object to check if a specific value (`10009`) exists in the map.
2. **Array.filter**: This test case uses the array's filtering method (`Array.filter`) to filter out values that are not equal to a specific value (`10009`).

**Options Compared**

The two options being compared are:

* Using a `Map` object to check for existence
* Using an array's built-in filtering method (`Array.filter`) to filter out values

**Pros and Cons of Each Approach**

1. **Hashmap (Map)**:
	* Pros: Fast lookup and existence checks.
	* Cons: May require additional memory allocation if the map grows too large, and may not be suitable for very large datasets due to memory constraints.
2. **Array.filter**:
	* Pros: Efficient for filtering and iterating over arrays, with a relatively low memory footprint.
	* Cons: Can be slower than direct lookup methods like `Map` or array indices when dealing with small datasets.

**Library and Purpose**

In the provided code snippet, no libraries are explicitly used. However, it's worth noting that the built-in `Map` object in JavaScript is a Map data structure, which provides fast lookups, insertion, and removal of elements.

**Special JS Features or Syntax**

There doesn't appear to be any special JavaScript features or syntax being tested in this benchmark.

**Other Alternatives**

If you're interested in exploring alternative approaches, some other options could include:

* Using `Set` objects for existence checks (similar to `Map`, but with a different data structure)
* Using `indexOf()` or `includes()` methods on arrays for filtering and existence checks
* Implementing custom iteration algorithms using loops or recursion

Keep in mind that the choice of algorithm often depends on the specific requirements and constraints of your project.

Related benchmarks:

~ Hashmap vs Array.Filter 10 (version: 0)

Comparing performance of: Hashmap vs Array.filter

Created: 3 years ago by: Guest

Jump to the latest result

Hashmap

Array.filter

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):