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Some vs Find bool vs findIndex bool
(version: 0)
Benchmark.js
Comparing performance of:
Find vs Some vs FindIndex
Created:
2 years ago
by:
Guest
Go to the latest result
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>
Run tests (3)
Previous results
Fork
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; rv:124.0) Gecko/20100101 Firefox/124.0
Browser/OS:
Firefox 124 on Mac OS X 10.15
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=512677" width="100%" height="500px"></iframe>
FindIndex
57K/s
Find
57K/s
Some
54K/s
View exact numbers
Test name
Executions per second
✓
FindIndex
57,000 Ops/sec
Find
56,699 Ops/sec
Some
54,324 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and its test cases. **Benchmark Definition JSON** The provided benchmark definition defines three microbenchmarks: 1. `!!data.find(e => e.username === 'titi')` 2. `data.some(e => e.username === 'titi')` 3. `data.findIndex(e => e.username === 'titi')` These benchmarks measure the performance of different methods for finding an element with a specific property in an array. **Options Compared** The three test cases compare the following options: 1. **`!!data.find(e => e.username === 'titi')`**: This option uses the `find()` method, which returns the first element that satisfies the provided condition. The double-bang (`!!`) operator is used to force a re-evaluation of the expression, even if the result is cached. 2. **`data.some(e => e.username === 'titi')`**: This option uses the `some()` method, which returns `true` as soon as the first element that satisfies the provided condition is found. 3. **`data.findIndex(e => e.username === 'titi')`**: This option uses the `findIndex()` method, which returns the index of the first element that satisfies the provided condition. **Pros and Cons** Here's a brief summary of the pros and cons for each option: 1. **`!!data.find(e => e.username === 'titi')`**: * Pros: Can be more accurate if the cached result is incorrect, but may incur additional overhead due to the re-evaluation. * Cons: May not be as efficient as other options due to the extra computation. 2. **`data.some(e => e.username === 'titi')`**: * Pros: Generally faster and more efficient than `find()` or `findIndex()`, but may return incorrect results if not used carefully (e.g., when using a large array). * Cons: May not work correctly if the condition is not met, and can be misleading if not handled properly. 3. **`data.findIndex(e => e.username === 'titi')`**: * Pros: Efficient and accurate, with no additional overhead compared to `some()`. * Cons: May return -1 if no element satisfies the condition. **Library: Lodash** The `find()` method is typically implemented in libraries like Lodash, which provides a more convenient way to perform array operations. In this benchmark, Lodash is used implicitly through the `!!` operator and the `data.find()` method call. **Special JS Feature/Syntax: None** There are no special JavaScript features or syntaxes mentioned in the provided benchmark definition. **Other Alternatives** If you're looking for alternative methods to measure array performance, consider the following: 1. **Using `forEach()`**: Instead of `find()`, `some()`, and `findIndex()`, you could use a simple `forEach()` loop to iterate through the array. 2. **Benchmarking with `perf_hooks`**: The `perf_hooks` library provides high-resolution timing functions that can be used to benchmark performance. 3. **Using WebAssembly (WASM)**: If you're targeting a specific architecture or need extreme performance, consider using WASM, which allows for compilation of JavaScript code into binary format. Keep in mind that each alternative method may have its own pros and cons, and the best approach depends on your specific use case and requirements.
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