Benchmark: Math.max() vs Array.reduce()4

Script Preparation code:

var values = new Array(10000);

for (let i = 0; i < values.length/2; i+=2) {
    values[i] = {
      type: "A"
    };
  	values[i+1] = {
      type: "B"
    };
}

Tests:

Reduce
return values.reduce(function(obj, value) { const key = value.type; if (obj[key] == null) obj[key] = []; obj[key].push(value); return obj; }, {});
For Each
const obj = {} return values.forEach(function(value) { const key = value.type; if (obj[key] == null) obj[key] = []; obj[key].push(value); });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Reduce
For Each

Fastest: N/A

Slowest: N/A

Latest 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 dive into the world of JavaScript microbenchmarks.

**Benchmark Overview**

The provided benchmark compares the speed of two approaches to achieve similar results:

1. `Math.max()` vs Array.reduce()
2. For Each loop with object creation and push operation

**Test Cases**

We have two test cases:

1. **Reduce**: This test case uses the `Array.reduce()` method to accumulate values into an object.
	* The script preparation code creates a large array of objects (`values`) with alternating `type` properties (A and B).
	* The benchmark definition is a JavaScript function that reduces the `values` array using `Array.prototype.reduce()`.
2. **For Each**: This test case uses a traditional For Each loop to iterate over the `values` array and accumulate values into an object.
	* The script preparation code creates the same large array of objects (`values`) as in the Reduce test case.
	* The benchmark definition is a JavaScript function that iterates over the `values` array using a For Each loop.

**Options Compared**

The two approaches are compared in terms of:

* Speed: Which approach is faster?
* Code complexity: How complex is the code for each approach?

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

1. **Math.max() vs Array.reduce()**
	* Pros:
		+ Often more concise and expressive.
		+ Can be easier to read and understand, especially for simple accumulation tasks.
	* Cons:
		+ May not perform well with large datasets or complex operations.
		+ Can lead to unexpected behavior if not used carefully (e.g., `Math.max()` returns the first element if no elements are provided).
2. **For Each loop**
	* Pros:
		+ Often more flexible and adaptable to different use cases.
		+ Can be easier to optimize for large datasets or complex operations.
	* Cons:
		+ Typically more verbose and complex than `Array.reduce()`.
		+ Requires manual object creation and push operation, which can lead to errors.

**Library/ Framework Considerations**

Neither of the test cases uses a library or framework that impacts the comparison. The benchmark focuses solely on the JavaScript code itself.

**Special JS Features/Syntax**

There are no special JS features or syntax used in these benchmarks. Both approaches rely on standard JavaScript language features.

**Alternative Approaches**

Other alternatives to consider for similar accumulation tasks might include:

* `Array.prototype.forEach()` with a callback function
* `Array.prototype.map()` followed by `Object.assign()`
* A custom loop using indices and array slicing

These alternative approaches may have their own trade-offs in terms of performance, code complexity, and readability.

I hope this explanation helps software engineers understand the benchmark and its comparisons!

Related benchmarks:

Math.max() vs Array.reduce()4 (version: 0)

Compare speed of Math.max() vs Array.reduce().

Comparing performance of: Reduce vs For Each

Created: 2 years ago by: Guest

Jump to the latest result

Reduce

For Each

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):