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Object direct vs Array.indexOf vs Array.find vs Map.has
(version: 0)
Comparing performance of:
direct vs Array.indexOf vs Array find vs Map has
Created:
4 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var object = {}, array = [], i, test = 1000; var map = new Map(); for (i = 0; i < 1000; i++) { object['something' + i] = true; array.push({id: 'something' + i}); map.set('something' + i, true); }
Tests:
direct
object['something' + test] === true
Array.indexOf
array.indexOf({id:'something' + test}) !== -1
Array find
array.find(e => e.id === 'something' + test)
Map has
map.get('something' + test)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
direct
Array.indexOf
Array find
Map has
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what each part is testing. **Benchmark Overview** The benchmark compares the performance of four different approaches to retrieve data from an object, array, or map: 1. Direct property access (`object['something' + test] === true`) 2. `Array.indexOf` method (`array.indexOf({id:'something' + test}) !== -1`) 3. `Array.find` method (`array.find(e => e.id === 'something' + test)`) 4. Map lookup using the `get` method (`map.get('something' + test)`) **Script Preparation Code** The script preparation code creates a sample object, array, and map with 1000 elements each. It also defines a variable `test` to be used later. ```javascript var object = {}, array = [], i, test = 1000; var map = new Map(); for (i = 0; i < 1000; i++) { object['something' + i] = true; array.push({id: 'something' + i}); map.set('something' + i, true); } ``` **Individual Test Cases** Each test case has a unique benchmark definition and a test name. These definitions are executed in each browser instance to measure the execution time. | Test Case | Benchmark Definition | Test Name | | --- | --- | --- | | 1 | `object['something' + test] === true` | direct | | 2 | `array.indexOf({id:'something' + test}) !== -1` | Array.indexOf | | 3 | `array.find(e => e.id === 'something' + test)` | Array find | | 4 | `map.get('something' + test)` | Map has | **Pros and Cons of Each Approach** 1. **Direct Property Access (`object['something' + test] === true`)**: * Pros: Fastest possible access, no overhead from function calls or iterations. * Cons: May not be applicable if the object is large or complex, as it relies on a direct memory address. 2. **Array.indexOf**: * Pros: Efficient for arrays with a fixed size, especially when searching for a specific element. * Cons: May be slower than direct property access for small arrays or objects, and has an overhead due to function call. 3. **Array.find**: * Pros: More readable and expressive than Array.indexOf, returns the found element instead of its index. * Cons: May be slower than direct property access and Array.indexOf for large datasets, as it involves a search algorithm. 4. **Map.has**: * Pros: Fast and efficient lookup in maps, suitable for large datasets. * Cons: May have an overhead due to the map's internal data structure. **Library Usage** The benchmark uses the `Array` object, which is a built-in JavaScript library. It does not use any external libraries beyond the `Map` class, which is also part of the JavaScript standard library. **Special JS Features or Syntax** None mentioned in this explanation. However, it's worth noting that some modern browsers may optimize certain operations using newer features like WebAssembly or specialized instructions. If you're interested in exploring these optimizations, I recommend checking out the latest browser documentation or research papers on the topic. **Other Alternatives** If you're looking for alternative approaches to benchmarking JavaScript performance, consider: 1. **Benchmarking frameworks**: Utilize dedicated frameworks like Benchmark.js, JSPerf, or Webdriver's built-in performance testing tools. 2. **ES6+ Microbenchmarks**: Write microbenchmarks using the latest ES6+ features, such as async/await and promises, to compare their performance in different scenarios. 3. **GPU-accelerated benchmarking**: Leverage GPU acceleration using libraries like WebGL or WebAssembly to measure the performance of JavaScript code on modern graphics hardware. Feel free to ask if you have any further questions!
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