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object vs array performance123232
(version: 0)
Comparing performance of:
Object vs Array
Created:
3 years ago
by:
Guest
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Script Preparation code:
var obj = new Object(); var keys = new Array(100).fill(0).map((x, i) => { return i + 1; }); keys.forEach((x) => { obj["prop" + x] = { value: x }; }); var array = []; let i = 0; for (i; i < 100; i++) { array[i] = { props: "prop" + i, value: i }; }
Tests:
Object
if (obj.hasOwnProperty('prop98')) { console.log(obj['prop98']) }
Array
array.forEach((value) => { if (value.props === "prop98") { console.log(value.value); } });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Object
Array
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark and explain what's being tested, compared, and its implications. **Benchmark Overview** The provided benchmark consists of two test cases: `Object` and `Array`. The goal is to compare the performance of accessing properties in JavaScript objects versus arrays. **Benchmark Definition JSON** The `Script Preparation Code` section creates: 1. An object (`obj`) with 100 properties, each containing a value. 2. An array (`keys`) with 100 elements, where each element is an index (from 1 to 100). **Test Cases** There are two test cases: ### Object Test Case The `Benchmark Definition` code checks if the property `prop98` exists in the object `obj`. If it does, it logs the value of that property. In other words, this test case measures how fast JavaScript can access a specific property in an object. ### Array Test Case The `Benchmark Definition` code uses `forEach` to iterate over the array (`keys`) and checks if any element's `props` property is equal to `"prop98"`. If it finds such an element, it logs the value of that element's `value` property. This test case measures how fast JavaScript can access a specific property in an array using a loop. **Comparison** The two test cases are designed to compare the performance of accessing properties in objects versus arrays. The idea is to see which approach (object or array) is faster for this specific use case. **Pros and Cons** **Object Approach:** Pros: * Objects are often used when you need to store data with a fixed set of properties. * Accessing an object's property can be faster if the property exists, as it involves a simple lookup. Cons: * Objects have a higher memory overhead compared to arrays for storing a large number of values. * Property access in objects can be slower if the object is very large or has many unnecessary properties. **Array Approach:** Pros: * Arrays are optimized for random access and can be faster when you need to access a specific element by its index. * Arrays use less memory than objects when storing a large number of values. Cons: * Array iteration using `forEach` can be slower than direct property access in objects, especially if the array is very large. * The loop can introduce unnecessary overhead due to function call and iteration. **Library: None** There are no libraries used in this benchmark. However, the use of `forEach` in the array test case suggests that JavaScript's built-in `Array.prototype.forEach` method is being utilized. **Special JS Feature/Syntax: None** There are no special JavaScript features or syntaxes used in this benchmark. **Alternative Approaches** Other approaches to compare these two: * **Direct Property Access:** Instead of using `obj.hasOwnProperty()` and array indexing, you could directly access the property using bracket notation (`obj['prop98']`). * **Iterating over Object Properties:** You could use a `for...in` loop or `Object.keys()` method to iterate over object properties instead of using `hasOwnProperty()`. * **Using a Custom Data Structure:** You could create a custom data structure that combines the benefits of objects and arrays, such as an array-like object with object properties. These alternative approaches would likely have different performance characteristics and might be more suitable depending on the specific use case.
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