Benchmark: Map get VS Map has get 4

Script Preparation code:

var i = 0, count = 10000, a;
var map = new Map();
var arr = [];

for (i = 0; i < count; i++) {
  if (Math.random() > 0.5) {
    map.set(i, i * i);
    arr.push(i * i);
  }
}

Tests:

Map 1
for (i = 0; i < 6379; i++) { a = map.get(i); }
Map 2
for (i = 0; i < 6379; i++) { a = arr[i] == i; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Map 1
Map 2

Fastest: N/A

Slowest: N/A

Latest run results:

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

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I'll explain the benchmark and its test cases in detail.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmarking test case on MeasureThat.net. The test aims to compare two approaches:

1. `Map.get()`: Using the `get()` method of a Map data structure to retrieve values.
2. `Array indexing` (`arr[i] == i`): Directly accessing elements in an array using numerical indices.

**Options Compared**

The benchmark compares the performance of these two approaches on a large dataset:

* A map with 6379 entries, where each entry is randomly set with a value based on the index.
* An array of the same size, where each element is assigned a value based on its index.

**Pros and Cons of Each Approach**

1. `Map.get()`:
	* Pros:
		+ Efficient for large datasets, as Map entries can be directly accessed using their key (index).
		+ Supports efficient lookups with O(1) average time complexity.
	* Cons:
		+ May require more memory to store the Map instance.
2. `Array indexing` (`arr[i] == i`):
	* Pros:
		+ Lightweight and does not require additional memory for a Map instance.
	* Cons:
		+ O(1) average time complexity, but can be slower due to the overhead of array access.

**Library Used**

In this benchmark, no specific library is explicitly mentioned. However, it's implied that the `Map` data structure and Array are built-in JavaScript objects or wrappers around them (e.g., `Map` is a wrapper around an Object).

**Special JS Feature/Syntax**

There are no explicit mentions of special JavaScript features or syntax in this benchmark.

**Alternative Approaches**

Other alternatives to compare these approaches might include:

* Using other data structures, such as Sets, Linked Lists, or Trees.
* Employing iterative algorithms instead of direct access (e.g., using a loop to iterate over the array or map).
* Adding additional logic or overhead (e.g., encryption, hashing) to simulate real-world scenarios.

**Benchmark Preparation Code**

The provided `Script Preparation Code` initializes:

1. A counter variable (`i`) and an array size (`count = 10000`).
2. Two variables: a Map instance (`map`) and an empty array (`arr`).

The script then loops `count` times, randomly deciding whether to set an entry in the map or push its value onto the array.

**Individual Test Cases**

Each test case consists of a single benchmark definition:

1. One test case uses the `Map.get()` method to retrieve values from the map.
2. The other test case directly accesses elements in the array using numerical indices (`arr[i] == i`).

These test cases aim to measure the performance difference between these two approaches on large datasets.

Related benchmarks:

Map get VS Map has get 4 (version: 0)

Map get VS Map has get

Comparing performance of: Map 1 vs Map 2

Created: 3 years ago by: Guest

Jump to the latest result

Map 1

Map 2

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):