Benchmark: for vs reduce (find max value)

Script Preparation code:

var list = [];
for (var i = 0; i < 1000; i++) {
  list.push([0, 0, Math.floor(Math.random() * 10000).toString()]);
}

Tests:

reduce
const result = list.reduce((acc, [, , value]) => { const valueNum = Number(value); if (valueNum > acc) { return valueNum; } return acc; }, 0);
for
let result = 0; for (const [, , value] of list) { const valueNum = Number(value); if (valueNum > result) { result = valueNum; } }

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:

No previous run results

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark definition and test cases to explain what's being tested, compared, and discussed.

**Benchmark Definition**

The provided JSON defines two microbenchmarks:

1. `for vs reduce (find max value)`
2. The script preparation code generates an array of 1000 random numbers in the format `[number, number, string]`.
3. There are no HTML preparation codes specified.
4. The test cases use JavaScript.

**Options Compared**

The two test cases compare the performance of:

1. **`for` loop**: Iterates over the array using a traditional `for` loop, accessing each element by its index (`[0, 0, value]`).
2. **`reduce` function**: Uses the `Array.prototype.reduce()` method to iterate over the array and find the maximum value.

**Pros and Cons**

**For Loop:**

Pros:

* Easy to read and understand
* Less memory-intensive since it only accesses a single element at a time

Cons:

* Can be slower due to the overhead of incrementing the loop counter (`i`)
* More verbose code compared to `reduce`

**Reduce Function:**

Pros:

* More concise and expressive code
* Efficiently handles large arrays by processing elements in a single pass

Cons:

* Requires understanding of the `reduce()` method and its callback function
* Can be slower due to the overhead of creating a new accumulator value (`acc`)

**Library Used (if applicable)**

None are mentioned in this specific benchmark definition.

**Special JS Features/Syntax**

There is no mention of any special JavaScript features or syntax. Both test cases use standard JavaScript syntax.

**Other Alternatives**

For finding the maximum value, other alternatives to `for` and `reduce` could include:

1. **`Math.max()` function**: A built-in function that takes multiple arguments and returns the largest value.
2. **`Array.prototype.forEach()` with a callback function**: Iterates over the array and calls a callback function for each element, allowing you to find the maximum value.
3. **`lodash` library (e.g., `_.max()`)**: A popular utility library that provides a `max()` function.

The choice of alternative depends on the specific use case and performance requirements.

**Benchmark Preparation Code**

The script preparation code generates an array of 1000 random numbers in the format `[number, number, string]`. This is likely done to ensure consistent input data for both test cases.

**Latest Benchmark Result**

The provided benchmark results show the execution frequency per second (`ExecutionsPerSecond`) for each test case on a Chrome 112 browser running on a Windows desktop. The results indicate that:

* `for` loop outperforms `reduce` function by about 377 executions per second (13542.6298828125 vs 13065.4306640625).

Keep in mind that these results are specific to the provided benchmark configuration and may vary depending on other factors, such as system resources, browser versions, or input data characteristics.

Related benchmarks:

for vs reduce (find max value) (version: 0)

Comparing performance of: reduce vs for

Created: 3 years ago by: Guest

Jump to the latest result

reduce

for

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):