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findIndex primitive vs findIndex object
(version: 0)
Difference within findIndex itself in performance between comparing primitive and non-primitive values.
Comparing performance of:
findIndex non-primitive vs findIndex primitive
Created:
5 years ago
by:
Registered User
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Script Preparation code:
var arrN = new Array(15000); for (var i = 0; i < 15000; i++) { arrN[i] = { id: i }; } var randN = Math.floor(Math.random() * 15000); var arrP = new Array(15000); for (var i = 0; i < 15000; i++) { arrP[i] = i; } var randP = Math.floor(Math.random() * 15000);
Tests:
findIndex non-primitive
var indexN = arrN.findIndex((num) => num['id'] === randN);
findIndex primitive
var indexP = arrP.findIndex((num) => num === randP);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
findIndex non-primitive
findIndex primitive
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and test cases to understand what is being tested. **Benchmark Definition** The website "MeasureThat.net" provides a platform for creating and running JavaScript microbenchmarks. The current benchmark is designed to compare the performance of two approaches within the `findIndex` method: one that compares primitive values (numbers) and another that compares non-primitive values (objects). **Test Cases** There are two individual test cases: 1. **"findIndex non-primitive"`**: This test case uses the `findIndex` method to search for an object in the `arrN` array, where each element is an object with an `id` property. The comparison is done using the condition `num['id'] === randN`, where `randN` is a random index between 0 and 14999. 2. **"findIndex primitive"`**: This test case uses the `findIndex` method to search for a number in the `arrP` array, where each element is a simple number. The comparison is done using the condition `num === randP`, where `randP` is a random index between 0 and 14999. **Library Usage** In both test cases, the `findIndex` method is used from the built-in JavaScript Array prototype. No additional libraries are required for these tests. **Special JS Features or Syntax** There are no special JavaScript features or syntax used in these test cases beyond what's inherent to the language itself (e.g., array literals, object properties). **Pros and Cons of Different Approaches** The two approaches being compared have different performance characteristics: * **"findIndex non-primitive"`**: When searching for an object with a specific property value, `findIndex` needs to iterate through the entire array to check each element's property. This can be slower than the alternative approach. + Pros: Easy to implement and understand. + Cons: May be slower due to unnecessary iterations. * **"findIndex primitive"`**: When searching for a simple number, `findIndex` only needs to iterate through the array until it finds the matching value. This is generally faster than the first approach. + Pros: Can be faster due to reduced iterations. + Cons: Requires a specific data structure (a plain array of numbers) and can be less flexible. **Other Considerations** * **Cache performance**: The `findIndex` method uses caching to store previously computed results. This can impact performance if the benchmark is run multiple times with different input values. * **Type coercion**: When comparing objects using the `===` operator, JavaScript performs type coercion, which may lead to additional overhead. **Alternative Approaches** If you want to explore alternative approaches for finding an element in a large array: 1. **Linear search**: Iterate through the entire array until the matching value is found. 2. **Binary search**: Sort the array and use a binary search algorithm to find the matching value. 3. **Hash table-based search**: Use a hash table (e.g., `Map` or `Set`) to store the elements and quickly look up the matching value. Keep in mind that these alternative approaches may have different performance characteristics, pros, and cons compared to the built-in `findIndex` method.
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