Benchmark: Some vs Find bool vs findIndex bool 2

Script Preparation code:

var data = []

for (let i = 0; i < 5000; ++i) data.push({ username: 'toto' })
data.push({ username: 'titi' })
for (let i = 0; i < 2500; ++i) data.push({ username: 'toto' })

Tests:

Find
!!data.find(e => e.username === 'titi')
Some
data.some(e => e.username === 'titi')
FindIndex
!!data.findIndex(e => e.username === 'titi')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Find
Some
FindIndex

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/122.0.0.0 Safari/537.36

Browser/OS: Chrome 122 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Find	165785.2 Ops/sec
Some	151501.1 Ops/sec
FindIndex	155972.3 Ops/sec

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

LLMs can make mistakes. Check important info.

**What is being tested?**

MeasureThat.net is testing the performance of three different methods for finding an element in an array:

1. `find`: This method returns the first element that satisfies the provided condition, or `undefined` if no elements satisfy it.
2. `some`: This method returns `true` as soon as an element satisfies the provided condition, and `false` only after checking all elements.
3. `findIndex`: This method returns the index of the first element that satisfies the provided condition, or `-1` if no elements satisfy it.

**Comparison of options**

The three methods are compared in terms of their execution time:

* `some`: It's likely to be faster than `find` because it stops searching as soon as it finds a match. However, it may not always find the desired element.
* `find`: It's more straightforward and consistent than `some`, but its performance may degrade when dealing with large arrays or sparse data.
* `findIndex`: Its performance is generally better than `find` for finding the index of an element, especially in cases where the array is very large.

**Pros and Cons**

Here are some pros and cons for each method:

* `some`:
	+ Pros: Can be faster if it finds a match early on.
	+ Cons: May not find the desired element if no matches are found.
* `find`:
	+ Pros: Consistent and straightforward.
	+ Cons: Performance may degrade for large arrays or sparse data.
* `findIndex`:
	+ Pros: Generally better performance than `find` when finding an index.
	+ Cons: May not be as efficient if the array is very large.

**Library usage**

There is no explicit library usage in the provided benchmark code. However, it's worth noting that `Array.prototype.find` and `Array.prototype.findIndex` are methods on the Array prototype, which means they're built-in to JavaScript.

If you were to write a custom implementation for these methods, you would need to use a data structure like a binary search tree or a hash table to efficiently find elements in large arrays. Alternatively, you could use a library like Lodash, which provides optimized implementations of these methods.

**Special JS feature or syntax**

There are no special JavaScript features or syntax used in this benchmark code. It only uses standard JavaScript language constructs and built-in array methods.

**Other alternatives**

If you wanted to measure the performance of other methods for finding an element in an array, some alternative approaches might include:

* Manual iteration: Using a loop to iterate over the elements of the array.
* Binary search: Using a binary search algorithm to find an element in a sorted array.
* Hashing: Using a hash table data structure to quickly look up elements.

Keep in mind that these alternatives would likely have different performance characteristics and trade-offs compared to the `find`, `some`, and `findIndex` methods used in this benchmark.

Related benchmarks:

Some vs Find bool vs findIndex bool 2 (version: 0)

Comparing performance of: Find vs Some vs FindIndex

Created: 2 years ago by: Guest

Jump to the latest result

Find

Some

FindIndex

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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