Benchmark: totalQuantitiesCount 2

Script Preparation code:

function generateTestData(size) {
  const carts = {};
  for (let i = 0; i < size; i++) {
    const cartType = `cart_${i}`;
    carts[cartType] = Math.random() > 0.1 ? { totalQuantityCount: Math.floor(Math.random() * 100) } : null;
  }
  return carts;
}

var state = {
  carts: {
    carts: generateTestData(1000000)
  }
};

Tests:

reduce
var totalQuantitiesCount = 0; Object.values(state.carts.carts).reduce((totalQuantitiesCount, cart) => totalQuantitiesCount + (cart?.totalQuantityCount ?? 0), 0);
forEach if
var totalQuantitiesCount = 0; Object.values(state.carts.carts).forEach((cart) => { if (cart !== null) totalQuantitiesCount += cart.totalQuantityCount; });
for of
var totalQuantitiesCount = 0; for (const cart of Object.values(state.carts.carts)) { totalQuantitiesCount += cart?.totalQuantityCount ?? 0; }
for of if
var totalQuantitiesCount = 0; for (const cart of Object.values(state.carts.carts)) { if (cart !== null) totalQuantitiesCount += cart.totalQuantityCount; }
for
var totalQuantitiesCount = 0; const carts = Object.values(state.carts.carts); for (let i = 0; i < carts.length; i++) { const cart = carts[i]; if (cart !== null) { totalQuantitiesCount += cart.totalQuantityCount; } }
forEach
var totalQuantitiesCount = 0; Object.values(state.carts.carts).forEach((cart) => totalQuantitiesCount += (cart?.totalQuantityCount ?? 0));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce
forEach if
for of
for of if
for
forEach

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36

Browser/OS: Chrome 127 on Windows

View result in a separate tab

Test name	Executions per second
reduce	1.7 Ops/sec
forEach if	1.8 Ops/sec
for of	1.9 Ops/sec
for of if	1.8 Ops/sec
for	2.0 Ops/sec
forEach	2.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Measuring the performance of different JavaScript loops is crucial for optimizing code. Let's break down the provided JSON and explain what each part represents, along with their pros and cons.

**Benchmark Definition**

The benchmark definition provides the script that will be executed to measure performance. In this case, there are two scripts: `Script Preparation Code` and `Html Preparation Code`. The first one generates test data for the benchmark, while the second one is empty.

**Individual Test Cases**

There are six test cases:

1. `reduce`
2. `forEach if`
3. `for of`
4. `for`
5. `forEach`
6. `reduce` (again)

Each test case has a unique script that will be executed to measure performance. The scripts differ in how they iterate over the data and update the `totalQuantitiesCount` variable.

**Script Explanation**

Here's a brief explanation of each script:

* `reduce`: This script uses the `reduce()` method to iterate over the data and accumulate the sum.
	+ Pros: Efficient, concise, and easy to read.
	+ Cons: May not be as intuitive for beginners due to its use of higher-order functions.
* `forEach if`: This script uses the `forEach()` method to iterate over the data, but with an additional conditional statement (`if (cart !== null)`).
	+ Pros: Easy to understand and maintain, especially for developers familiar with the `forEach()` method.
	+ Cons: May introduce unnecessary overhead due to the condition check.
* `for of`: This script uses a traditional `for` loop to iterate over the data, but with an arrow function (`cart => { ... }`) as the callback.
	+ Pros: More explicit and readable than using higher-order functions.
	+ Cons: May be less efficient due to the overhead of creating the arrow function.
* `for`: This script uses a traditional `for` loop to iterate over the data, without any conditional statements or higher-order functions.
	+ Pros: Simple and easy to understand.
	+ Cons: May not be as efficient or concise as other options.
* `forEach`: This script uses the `forEach()` method to iterate over the data, without any conditional statements.
	+ Pros: Efficient and easy to read.
	+ Cons: May not be suitable for all edge cases due to the lack of control over iteration.
* `reduce` (again): This script is identical to the first one, suggesting a retest.

**Library Usage**

There is no explicit library usage in these scripts. However, some modern browsers may rely on libraries like V8 (for Chrome) or SpiderMonkey (for Firefox) under the hood.

**Special JS Feature/Syntax**

No special JavaScript features or syntax are used in these scripts, other than the use of arrow functions (`=>`) and template literals (`\r\n`).

**Other Alternatives**

Alternative loop implementations could be explored using:

* `map()`: Instead of iterating over the data, you can create a new array with transformed values.
* Regular expressions: You can use regular expressions to iterate over the data and update variables.
* Custom loops: More complex logic can be implemented using custom loops that avoid built-in methods.

In summary, each script has its pros and cons, and the choice of which one to use depends on the specific requirements and performance characteristics of your code.

Related benchmarks:

totalQuantitiesCount 2 (version: 0)

Comparing performance of: reduce vs forEach if vs for of vs for of if vs for vs forEach

Created: one year ago by: Guest

Jump to the latest result

reduce

forEach if

for of

for of if

for

forEach

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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