Benchmark: forEach vs for..loop dynamic length2

Script Preparation code:

var gsmCells = [
        {
            "countrycode": 250,
            "operatorid": 2,
            "lac": 9703,
            "cellid": 23446,
            "signal_strength": -75
        },
        {
            "countrycode": 250,
            "operatorid": 2,
            "lac": 9703,
            "cellid": 59141,
            "signal_strength": -76
        },
        {
            "countrycode": 250,
            "operatorid": 2,
            "lac": 9703,
            "cellid": 6924,
            "signal_strength": -80
        },
        {
            "countrycode": 250,
            "operatorid": 2,
            "lac": 9703,
            "cellid": 23449,
            "signal_strength": -81
        }
    ];

Tests:

reduce
let max = gsmCells[0]; gsmCells.forEach( (element, index) => { if(element.signal_strength > max.signal_strength) max = element; } )
for
let max = gsmCells[0]; const a = gsmCells.length; for(let i = 0; i < a; i++){ if(gsmCells[i].signal_strength > max.signal_strength) max = gsmCells[i]; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce
for

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:123.0) Gecko/20100101 Firefox/123.0

Browser/OS: Firefox 123 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
reduce	119558752.0 Ops/sec
for	168582576.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the details of the provided benchmark.

**Benchmark Definition**

The benchmark is designed to compare the performance of two approaches: `forEach` and `for` loops with dynamic length, specifically when used to find the maximum element in an array. The test cases are:

1. Using `forEach`: The code uses the `forEach` method to iterate over the array, updating a variable `max` if it finds an element with a stronger signal strength.
2. Using `for`: The code uses a traditional `for` loop to iterate over the array, also updating a variable `max` if it finds an element with a stronger signal strength.

**Options Compared**

The benchmark compares two approaches:

1. **`forEach`**: This method is part of the Array prototype and provides a more concise way to iterate over arrays, especially when using arrow functions.
2. **`for` loop with dynamic length**: This traditional approach uses a loop counter to iterate over the array, but requires manual management of the loop's end condition.

**Pros and Cons**

**`forEach`**:

Pros:

* More concise code
* Easier to read and maintain, especially for more complex iterations

Cons:

* May have performance overhead due to function calls and object lookups
* Can be slower than traditional loops in certain cases (e.g., when using a `for` loop with a static length)

**`For` loop with dynamic length**:

Pros:

* Typically faster than `forEach` due to reduced function call overhead
* More control over the iteration process

Cons:

* Requires more code and manual management of the loop's end condition
* Can be less readable and maintainable, especially for complex iterations

**Other Considerations**

The benchmark does not consider other factors that might affect performance, such as:

* Array size and distribution
* Data type and structure (e.g., object properties vs. primitive values)
* Other JavaScript features or syntax that might impact performance

**Library Usage**

There is no explicit library usage in the provided code snippets.

**Special JS Features/Syntax**

None of the provided code snippets use special JavaScript features or syntax, such as async/await, generators, or modern language features like `let` and `const`.

In summary, this benchmark compares two common approaches to iterating over arrays: `forEach` and traditional `for` loops with dynamic length. The results will likely depend on the specific use case, array size, and data distribution.

Related benchmarks:

forEach vs for..loop dynamic length2 (version: 0)

Comparing performance of: reduce vs for

Created: 2 years ago by: Registered User

Jump to the latest result

reduce

for

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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