Benchmark: Test1111 - MeasureThat.net

Script Preparation code:

 arr = [];
 obj = {};
 set = new Set();

for (let i = 1; i <= 5000000; i++) {
  arr.push(`${i}`);
  obj[i] = 1;
  set.add(`${i}`);
}

Tests:

Includes
arr.includes('4567942');
Obj keys
obj['4567942']
Set
set.has('4567942')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Includes
Obj keys
Set

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 and explain what's being tested.

**Script Preparation Code**

The script preparation code is used to set up the environment for the benchmarks. It creates an array `arr`, an object `obj`, and a Set `set`. The arrays and sets are populated with a large number of values, specifically strings representing numbers from 1 to 5,000,000.

**Html Preparation Code**

Since there is no Html Preparation Code provided, we can assume that the benchmark script runs in a JavaScript environment without any HTML-related overhead.

**Benchmark Definition**

The Benchmark Definition section contains three individual test cases:

1. `arr.includes('4567942');`
2. `obj['4567942']`
3. `set.has('4567942')`

These tests are measuring the performance of different operations involving arrays, objects, and Sets in JavaScript.

**Options Compared**

In this benchmark, two options are being compared:

1. **Direct property access**: `arr.includes()` versus direct array access using indexing (`arr[0]`, etc.).
2. **Object key lookup**: `obj['4567942']` versus iterating over object keys and checking for existence.
3. **Set membership test**: `set.has('4567942')` versus iterating over the set's values and checking for existence.

**Pros and Cons**

Here's a brief overview of each option:

1. **Direct property access**:
	* Pros: Often faster, as it involves a single operation lookup.
	* Cons: May be slower for large arrays or complex objects, as JavaScript has to traverse the array/object to find the desired index/key.
2. **Object key lookup**:
	* Pros: Can be more readable and maintainable for complex object structures.
	* Cons: Typically slower than direct property access, as it involves iterating over keys and performing a lookup.
3. **Set membership test**:
	* Pros: Fastest option, especially for large sets, as lookups are typically O(1) operations.
	* Cons: May require more memory to store the set, depending on its size.

**Library Usage**

None of the provided benchmark code uses any external libraries.

**Special JS Features or Syntax**

The only notable feature used in this benchmark is the `Set` data structure, which was introduced in ECMAScript 2015 (ES6). The use of the `includes()` method for array lookups is also a relatively modern addition to JavaScript.

**Other Alternatives**

If you were to create an alternative benchmark with similar goals, you might consider using:

1. **Dynamically generated data**: Use a library or framework like Lodash or Moment.js to generate large arrays and sets.
2. **Caching mechanisms**: Implement caching to reduce the number of iterations performed during each test case.
3. **Other data structures**: Explore performance comparisons with other data structures, such as `Map` (similar to objects) or `PriorityQueue`.
4. **Different algorithms**: Test alternative algorithms for performing lookups and membership tests, such as using a binary search tree or a hash table.

Related benchmarks:

Test1111 (version: 0)

test

Comparing performance of: Includes vs Obj keys vs Set

Created: 5 years ago by: Guest

Jump to the latest result

Includes

Obj keys

Set

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):