Benchmark: array every vs some vs for loop fork

Tests:

every
const a = [1, 2, 3, 4, 5]; const b = [1, 2, 4, 5, 3, 5]; a.every(x => b.some(y => x === y));
for of loop
const a = [1, 2, 3, 4, 5]; const b = [1, 2, 4, 5, 3, 5]; for (let x of a) { if (!b.some(y => x === y)) { break; } }
for loop
const a = [1, 2, 3, 4, 5]; const b = [1, 2, 4, 5, 3, 5]; for (let i = 0; i < a.length; i++) { if (!b.some(y => a[i] === y)) { break; } }
reduce
const a = [1, 2, 3, 4, 5]; const b = [1, 2, 4, 5, 3, 5]; a.reduce((x, y, i) => i === 0 ? b.some(p => p === x) : b.some(p => p === y))
reduce 2
const a = [1, 2, 3, 4, 5]; const b = [1, 2, 4, 5, 3, 5]; a.reduce(function (x, y, i) { return i === 0 ? b.some(p => p === x) : b.some(p => p === y) })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
every
for of loop
for loop
reduce
reduce 2

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_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36

Browser/OS: Chrome 99 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
every	85181024.0 Ops/sec
for of loop	54940000.0 Ops/sec
for loop	32854398.0 Ops/sec
reduce	97258496.0 Ops/sec
reduce 2	97750032.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the JavaScript microbenchmarks on MeasureThat.net and explain what's being tested.

The benchmark definition is provided in JSON format, which includes four different test cases:

1. `array every vs some vs for loop fork`
	* This test case compares the performance of using `every()`, `some()`, and a traditional `for` loop to find if an element exists in another array.
2. Three individual test cases:
	* `reduce`
	* `reduce 2` (a variant of the previous one)
	* `every`
	* `for of loop`
	* `for loop`

Let's analyze each test case:

**Test Case 1: `array every vs some vs for loop fork`**

This test case compares four approaches to find if an element exists in another array:

1. **`every()`**: The `every()` method returns `true` if all elements of the given array pass the test implemented by the provided function.
2. **`some()`**: The `some()` method returns `true` if at least one element of the given array passes the test implemented by the provided function.
3. **Traditional `for` loop**: A manual loop that iterates over each element in the first array and checks if it exists in the second array using the `in` operator or a conditional statement.

Pros and Cons:

* `every()`:
	+ Pros: concise, expressive, and efficient for large arrays.
	+ Cons: may be slower due to the all-or-nothing nature of the method.
* `some()`:
	+ Pros: more flexible than `every()`, as it only requires one match.
	+ Cons: may be slower for large arrays, as it needs to stop iterating as soon as a match is found.
* Traditional `for` loop:
	+ Pros: controlled iteration, easy to understand and optimize.
	+ Cons: verbose, error-prone, and less readable than the other two options.

**Individual Test Cases**

1. **`reduce()`**
	* The `reduce()` method applies a function against an accumulator and each element in the array (from left to right) to reduce it to a single value.
2. **`reduce 2`**
	* A variant of the previous one, with a different initial value for the accumulator.
3. **`every`** (already analyzed above)
4. **`for of loop`**
	* A modern `for...of` loop that iterates over each element in the array and checks if it exists in another array using the same logic as the traditional `for` loop.

Pros and Cons:

* `reduce()`:
	+ Pros: concise, efficient, and easy to use.
	+ Cons: may be less readable for those unfamiliar with this method.
* `for of loop`:
	+ Pros: modern, expressive, and easy to understand.
	+ Cons: requires support for the `for...of` loop syntax.

**Other Considerations**

When choosing between these approaches, consider the following:

* **Performance**: If you need to iterate over large arrays, `reduce()` or traditional `for` loops might be faster due to their optimized iteration logic. However, if you only need to check for a single element, `every()` or `some()` might be more efficient.
* **Readability and maintainability**: `every()` and `some()` provide concise, expressive solutions that are easier to understand and write than traditional loops. `reduce()` can also be readable, but it may require some familiarity with this method.

**Alternative Approaches**

Other approaches you could consider using in JavaScript include:

1. **Using the `includes()` method**: Instead of checking for an element's existence using the `in` operator or a conditional statement, you can use the `includes()` method to check if an array contains a specific value.
2. **Using a more complex iteration logic**: Depending on your specific requirements, you might need to iterate over arrays in a more complex way than just checking for an element's existence. In these cases, traditional loops or more advanced methods like `filter()`, `map()`, or `forEach()` might be more suitable.
3. **Using a library or framework**: If you're working with large datasets or performance-critical code, consider using libraries or frameworks that provide optimized iteration logic and data structures, such as NumJS or Lodash.

I hope this helps! Do you have any specific questions about these approaches?

Related benchmarks:

array every vs some vs for loop fork (version: 0)

Comparing performance of: every vs for of loop vs for loop vs reduce vs reduce 2

Created: 4 years ago by: Guest

Jump to the latest result

every

for of loop

for loop

reduce

reduce 2

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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