Benchmark: foreach maConstante de fou

Tests:

foreach
const maConstante = [ { as: [ { bs: [ { ids: ['c0ec299b-1029-4dcf-9cb2-1a2b3c4d5e6f', 'd0d0e0e0-3045-4e5e-8b8b-9a9a8a8a7a7a'] } ] } ] }, { as: [ { bs: [ { ids: ['f0f0e0e0-5060-4e5e-8b8b-9a9a8a8a7a7a'] } ] } ] } ] function createRecordFromIdsForEach(obj) { const record = {}; obj.forEach(({ as }) => { as.forEach(({ bs }) => { bs.forEach(({ ids }) => { ids.forEach((id) => { record[id] = true; }); }); }); }); return record; } createRecordFromIdsForEach(maConstante)
reduce
const maConstante = [ { as: [ { bs: [ { ids: ['c0ec299b-1029-4dcf-9cb2-1a2b3c4d5e6f', 'd0d0e0e0-3045-4e5e-8b8b-9a9a8a8a7a7a'] } ] } ] }, { as: [ { bs: [ { ids: ['f0f0e0e0-5060-4e5e-8b8b-9a9a8a8a7a7a'] } ] } ] } ] function createRecordFromIdsReduce(obj) { return obj.reduce((record, { as }) => { as.forEach(({ bs }) => { bs.forEach(({ ids }) => { ids.forEach((id) => { record[id] = true; }); }); }); return record; }, {}); } createRecordFromIdsReduce(maConstante)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
foreach
reduce

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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**Overview of the Benchmark**

The provided benchmark is designed to test the performance of two different approaches for iterating over arrays: `forEach` and `reduce`. The benchmark uses JavaScript as the programming language.

**Benchmark Definition**

The benchmark definition is represented by a JSON object that contains information about the benchmark. In this case, it's empty except for the "Script Preparation Code" and "Html Preparation Code" fields, which are both null.

**Individual Test Cases**

There are two test cases:

1. **`foreach`**: This test case defines an array `maConstante` with two objects each containing an inner object with a `bs` property that has an `ids` array. The `forEach` loop is used to iterate over the outer array, and then further iterate over the `as` arrays and finally over the `bs` arrays.
2. **`reduce`**: This test case defines the same array `maConstante`, but uses the `reduce` method instead of `forEach`. The `reduce` function iterates over the outer array, and then further iterates over the `as` arrays and finally over the `bs` arrays.

**Comparison**

The two test cases compare the performance of using `forEach` versus `reduce` to iterate over the array. Both approaches are tested on the same input data.

**Pros and Cons of Each Approach**

* **`forEach`**:
	+ Pros: Can be used for simple iteration, is more readable in some cases.
	+ Cons: Requires multiple loop iterations, which can lead to slower performance compared to other approaches.
* **`reduce`**:
	+ Pros: More efficient than `forEach`, as it reduces the number of iterations required.
	+ Cons: May require more complex code for simple iteration tasks.

**Library Used**

There is no explicit library mentioned in the benchmark definition or test cases. However, both `forEach` and `reduce` are built-in JavaScript methods, making this a language-agnostic benchmark.

**Special JS Feature/Syntax**

None of the provided code uses any special JavaScript features or syntax that would affect its performance compared to other approaches.

**Other Alternatives**

Alternative iteration methods could include:

* **`map()`**: Similar to `forEach`, but returns an array instead of modifying the original array.
* **`for...of` loop**: A more modern and concise way to iterate over arrays, introduced in ECMAScript 2015 (ES6).

**Other Considerations**

When writing performance benchmarks like this one, it's essential to consider factors such as:

* Input size: The benchmark is only run with a fixed-size input array. Larger inputs would likely produce different results.
* Environment: The benchmark runs on a specific device (Macintosh with Chrome 113) and operating system (Mac OS X 10.15.7). Other environments might yield different performance characteristics.
* Warm-up phase: The benchmark definition doesn't account for any warm-up phase, which could affect the initial execution times.

Keep in mind that this is just one possible way to approach the problem, and different benchmarks might prioritize different aspects of performance or language features.

Related benchmarks:

foreach maConstante de fou (version: 0)

Comparing performance of: foreach vs reduce

Created: 2 years ago by: Guest

Jump to the latest result

foreach

reduce

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):