Benchmark: indexOf vs findIndex vs for vs while vs indexed - 100 items

Script Preparation code:

var exampleItem1 = 'You will never find me!';
var exampleItem2 = 'I am invisible!';
var exampleArray = Array(100).fill('').map((x, i) => x + (i + 1));
var compare1 = x => x === exampleItem1;
var compare2 = x => x === exampleItem2;

Tests:

findIndex
exampleArray.findIndex(compare1); exampleArray.findIndex(compare2);
indexOf
exampleArray.indexOf(exampleItem1); exampleArray.indexOf(exampleItem2);
for
let index1 = null; let index2 = null; for (let i = 0, l = exampleArray.length; i < l; i += 1) { if (index1 === null && compare1(exampleArray[i])) { index1 = i; continue; } if (index2 === null && compare2(exampleArray[i])) { index2 = i; continue; } if (index1 !== null && index2 !== null) break; }
while
let index1 = null; let index2 = null; let i = -1, l = exampleArray.length; while (++i < l) { if (index1 === null && compare1(exampleArray[i])) { index1 = i; continue; } if (index2 === null && compare2(exampleArray[i])) { index2 = i; continue; } if (index1 !== null && index2 !== null) break; }
indexed
const indexes = {}; for (let i = 0, l = exampleArray.length; i < l; i += 1) { indexes[exampleArray[i]] = i; } let index1 = indexes[exampleItem1]; let index2 = indexes[exampleItem2];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
findIndex
indexOf
for
while
indexed

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/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Windows

View result in a separate tab

indexOf

5.8M/s

while

2.1M/s

for

2.1M/s

indexed

1.2M/s

findIndex

899K/s

View exact numbers

Test name	Executions per second
✓ indexOf	5,753,934 Ops/sec
while	2,143,603 Ops/sec
for	2,088,736 Ops/sec
indexed	1,220,226 Ops/sec
findIndex	899,142 Ops/sec

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 and its options.

**Overview**

The benchmark measures the performance of four different methods to find an element in an array:

1. `findIndex`: returns the index of the first occurrence of the specified value, or -1 if not found.
2. `indexOf`: returns the index of the first occurrence of the specified value, or -1 if not found.
3. `for` loop with indices: uses a traditional `for` loop to iterate over the array and find the index of the element.
4. `while` loop with indices: uses a `while` loop to iterate over the array and find the index of the element.
5. `indexed`: uses an object to store the indices of all elements in the array, then looks up the index of the specified value.

**Options Compared**

The options compared are:

* `findIndex` vs `indexOf`: both return the index of the first occurrence of the specified value, but `findIndex` is generally considered faster and more efficient because it stops iterating as soon as it finds a match.
* `for` loop with indices vs `while` loop with indices: both methods iterate over the array and find the index of the element, but `for` loops are often preferred because they are easier to read and maintain. However, `while` loops can be more flexible in certain situations.
* `indexed`: uses an object to store indices, which allows for faster lookups compared to the other methods.

**Pros and Cons**

* `findIndex`:
	+ Pros: generally faster, more efficient, and easier to use than `indexOf`.
	+ Cons: may not work as expected in certain situations (e.g., when dealing with sparse arrays).
* `indexOf`:
	+ Pros: widely supported, easy to use.
	+ Cons: slower and less efficient than `findIndex`, especially for large arrays.
* `for` loop with indices:
	+ Pros: easy to read and maintain, can be more flexible than `while` loops.
	+ Cons: may not be as performant as other methods, especially for large arrays.
* `while` loop with indices:
	+ Pros: flexible, can be used in situations where a `for` loop would not work.
	+ Cons: less readable and maintainable than `for` loops, can lead to performance issues if not implemented correctly.
* `indexed`:
	+ Pros: fastest lookup time, especially for large arrays.
	+ Cons: requires more memory and computation resources than the other methods.

**Other Considerations**

* `findIndex` is generally preferred over `indexOf` because it is faster and more efficient. However, if you need to support older browsers that only support `indexOf`, you may need to use a fallback implementation.
* The choice between `for` loops and `while` loops depends on the specific requirements of your project. If readability and maintainability are important, a `for` loop may be a better choice. However, if flexibility is more important, a `while` loop may be preferred.

**Alternative Methods**

Other methods that could be used to find an element in an array include:

* Using a `Map` or `Set` data structure to store the elements and their indices.
* Using a recursive function to search for the element.
* Using a parallel processing algorithm (e.g., multi-threading or parallel computing) to speed up the search.

However, these methods may not be as performant or efficient as the ones mentioned above, and may require more memory and computation resources.

indexOf vs findIndex vs for vs while vs indexed - 100 items (version: 4) Benchmark.js

Comparing performance of: `findIndex vs indexOf vs for vs while vs indexed`

Created: 5 years ago by: Registered User

Go to the latest result

findIndex

indexOf

for

while

indexed

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

indexOf vs findIndex vs for vs while vs indexed - 100 items (version: 4) Benchmark.js

Comparing performance of: findIndex vs indexOf vs for vs while vs indexed

Created: 5 years ago by: Registered User

Go to the latest result

findIndex

indexOf

for

while

indexed

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

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