Benchmark: Push in loop vs Reduce

Script Preparation code:

var object = {
all: [],
  m6: [],
  found: false
};
var strs = Array.from(new Array(10000)).map(() => 'String concat. ');
var found = 6*7586;

Tests:

Push
for (let i = 0; i < strs.length; i++) { object.all.push(strs[i]); if(i%6 === 0) { object.m6.push(strs[i]); if (i === found) object.found = true; } }
Join
result = strs.reduce((accu, s, i) => { accu.all.push(s); if(i%6 === 0) { accu.m6.push(s); if (i === found) accu.found = true; } return accu; }, object);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Push
Join

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 break down the provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark measures the performance of two JavaScript approaches: using `Array.prototype.push()` in a loop (`Push`) versus using `Array.prototype.reduce()` with an accumulator (`Join`). The benchmark creates a large array of strings, iterates over it, and checks for specific conditions.

**Options Compared**

Two options are compared:

1. **Push**: Iterating over the array and pushing each element to a new array using `push()`.
2. **Join**: Using `Array.prototype.reduce()` with an accumulator to iterate over the array and build a new array in a single pass.

**Pros and Cons of Each Approach**

* **Push**:
	+ Pros:
		- Simple and intuitive implementation.
		- Easy to understand and maintain.
	+ Cons:
		- Can lead to performance issues due to frequent array resizing and garbage collection.
		- May not be optimized for large datasets.
* **Join**:
	+ Pros:
		- More efficient than `Push` since it avoids frequent array resizing and garbage collection.
		- Can take advantage of optimizations in the `reduce()` method.
	+ Cons:
		- Requires a better understanding of functional programming concepts (e.g., accumulators, callbacks).
		- May be less intuitive for developers without experience with these techniques.

**Library Usage**

The benchmark uses `Array.prototype.reduce()`, which is a built-in JavaScript method that applies a function to each element in an array and reduces it to a single value. The `reduce()` method is part of the ECMAScript standard, making it widely supported across browsers and environments.

**Special JS Feature or Syntax**

This benchmark does not explicitly use any special JavaScript features or syntax beyond what's required for the `Array.prototype.reduce()` method.

**Other Considerations**

* **Array Resizing**: When using `push()`, the array is resized whenever a new element is added, which can lead to performance issues due to frequent garbage collection and reallocation of memory.
* **Garbage Collection**: The browser's garbage collector may collect arrays that are no longer referenced in memory, leading to performance overhead when using `push()`.

**Alternative Approaches**

Other approaches could be used instead of `Push` or `Join`, such as:

* Using `Array.prototype.forEach()` with a callback function.
* Implementing a custom loop that uses indices and bounds checking.
* Utilizing WebAssembly (WASM) for performance-critical loops.

However, these alternatives may not provide significant improvements over the existing benchmark results.

Related benchmarks:

Push in loop vs Reduce (version: 0)

Comparing performance of: Push vs Join

Created: 2 years ago by: Guest

Jump to the latest result

Push

Join

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):