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find vs findIndex vs filter with value
(version: 3)
Comparing performance of:
Array.prototype.find vs Array.prototype.findIndex vs Array.prototype.filter
Created:
2 years ago
by:
Registered User
Jump to the latest result
Script Preparation code:
var arr = []; var i = 0; while (i <= 1E3) arr[i] = i++;
Tests:
Array.prototype.find
const item = arr.find(item => item == 1E3);
Array.prototype.findIndex
const index = arr.findIndex(item => item == 1E3); const item = arr[index]
Array.prototype.filter
const item = arr.filter(item => item == 1E3)[0];
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Array.prototype.find
Array.prototype.findIndex
Array.prototype.filter
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Android 14; Mobile; rv:136.0) Gecko/136.0 Firefox/136.0
Browser/OS:
Firefox Mobile 136 on Android
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Test name
Executions per second
Array.prototype.find
220537.6 Ops/sec
Array.prototype.findIndex
221226.3 Ops/sec
Array.prototype.filter
207423.2 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON benchmark definition and individual test cases. **Overview** The website "MeasureThat.net" allows users to create and run JavaScript microbenchmarks, comparing different approaches for searching or filtering an array of values. In this case, we have three test cases: `Array.prototype.find`, `Array.prototype.findIndex`, and `Array.prototype.filter`. **Benchmark Definition** The benchmark definition is a JSON object that contains information about the benchmark: * `Name`: The name of the benchmark, which is "find vs findIndex vs filter with value". * `Description`: A brief description of the benchmark (empty in this case). * `Script Preparation Code`: A JavaScript code snippet that initializes an array (`arr`) and populates it with values from 0 to 1000 using a `while` loop. * `Html Preparation Code`: An empty string, indicating no HTML preparation is needed. **Individual Test Cases** There are three individual test cases: 1. **Array.prototype.find** * Benchmark Definition: `const item = arr.find(item => item == 1E3);` * Purpose: Find the first element in the array that matches the condition. 2. **Array.prototype.findIndex** * Benchmark Definition: `const index = arr.findIndex(item => item == 1E3);\r\nconst item = arr[index]` * Purpose: Find the index of the first element in the array that matches the condition and then retrieve the element at that index. 3. **Array.prototype.filter** * Benchmark Definition: `const item = arr.filter(item => item == 1E3)[0];` * Purpose: Create a new array with only the elements that match the condition, and return the first (and in this case, only) element. **Library and Special JS Features** In none of the test cases are there any explicit library imports or usage. Additionally, there are no special JavaScript features or syntax used in these benchmarks. **Options Compared** The three benchmark test cases compare the performance of: * `Array.prototype.find`: Directly finds the first matching element. * `Array.prototype.findIndex`: Finds the index of the first matching element and then retrieves it. * `Array.prototype.filter`: Creates a new array with only the matching elements, and returns the first (and in this case, only) element. **Pros and Cons** Here's a brief summary of the pros and cons of each approach: 1. **Array.prototype.find**: * Pros: Fastest execution time, as it directly searches for the first match. * Cons: May not be suitable if the array has no matches or is too large. 2. **Array.prototype.findIndex**: * Pros: More flexible than `find`, as it allows finding an index and then retrieving the value at that index. * Cons: Slightly slower execution time compared to `find`. 3. **Array.prototype.filter**: * Pros: Suitable for cases where you want to create a new array with matching elements. * Cons: Creates a new array, which can be memory-intensive if not done carefully. **Other Alternatives** Some alternative approaches to these benchmarks could include: * Using `Array.prototype.forEach` or a similar method to iterate over the array and find/match the desired element. * Using a different data structure, such as a `Set`, to store the elements being searched for. * Utilizing WebAssembly (WASM) or other just-in-time (JIT) compilation techniques to improve performance. Please note that these alternatives are not directly related to the provided benchmark definition and might require additional context to be relevant.
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