Benchmark: Array.from vs ForEach for Maps

Tests:

Foreach
const map1 = new Map(); map1.set("abc", { "count": 10, "componentInfo": { "manufacturerName": "", "name": "def", "ratingStc": 123 } }) map1.set("def", { "count": 10, "componentInfo": { "manufacturerName": "", "name": "ghi", "ratingStc": 123 } }) map1.set("ghi", { "count": 10, "componentInfo": { "manufacturerName": "", "name": "jkl", "ratingStc": 123 } }) map1.set("jkl", { "count": 10, "componentInfo": { "manufacturerName": "", "name": "mno", "ratingStc": 123 } }) const modules = [] map1.forEach(({ count, componentInfo }) => { modules.push({ count, name: `${componentInfo.manufacturerName} ${componentInfo.name} (${componentInfo.ratingStc}W) modules`.trim(), }); });
Array.from
const map1 = new Map(); map1.set("abc", { "count": 10, "componentInfo": { "manufacturerName": "", "name": "def", "ratingStc": 123 } }) map1.set("def", { "count": 10, "componentInfo": { "manufacturerName": "", "name": "ghi", "ratingStc": 123 } }) map1.set("ghi", { "count": 10, "componentInfo": { "manufacturerName": "", "name": "jkl", "ratingStc": 123 } }) map1.set("jkl", { "count": 10, "componentInfo": { "manufacturerName": "", "name": "mno", "ratingStc": 123 } }) const panels = Array.from(map1.values()).map(({ count, componentInfo }) => { return { count, name: `${componentInfo.manufacturerName} ${componentInfo.name} (${componentInfo.ratingStc}W) modules`.trim(), }; })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Foreach
Array.from

Fastest: N/A

Slowest: N/A

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

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Let's break down what's being tested in the provided JSON benchmark.

**Benchmark Definition:**
The test is comparing two approaches to extract values from a Map data structure in JavaScript:

1. `forEach` loop
2. `Array.from()` method

**Options Compared:**

* **Using `forEach` loop**: The code uses a traditional `forEach` loop to iterate over the Map's entries and extract values.
* **Using `Array.from()` method**: The code uses `Array.from()` to convert the Map's values into an array, which is then iterated over.

**Pros and Cons of Each Approach:**

* **Using `forEach` loop**:
	+ Pros: Can be more efficient for small datasets, as it avoids creating a new array.
	+ Cons: May lead to slower performance for large datasets due to the overhead of iterating over each entry individually.
* **Using `Array.from()` method**:
	+ Pros: Can be faster for large datasets, as it creates an array that can be iterated over in bulk.
	+ Cons: Requires creating a new array, which may consume more memory.

**Library and Purpose:**
No libraries are explicitly mentioned in the benchmark. However, `Array.from()` is a built-in JavaScript method that converts an iterable object into an array.

**Special JS Feature or Syntax:**
There is no special JS feature or syntax used in this benchmark.

Now, let's talk about other alternatives:

* **Using `for...of` loop**: Another way to iterate over the Map's entries, which might be faster than using `forEach`.
* **Using a custom function**: Creating a custom function to extract values from the Map could potentially offer better performance.
* **Using parallel processing**: If the dataset is very large, using parallel processing techniques (e.g., Web Workers) could significantly improve performance.

Keep in mind that these alternatives might require additional setup and testing to ensure they're suitable for your specific use case.

Related benchmarks:

Array.from vs ForEach for Maps (version: 0)

Comparing performance of: Foreach vs Array.from

Created: 2 years ago by: Guest

Jump to the latest result

Foreach

Array.from

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):