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map vs object d23d32d32d123d32d23d332d23d32
(version: 0)
Comparing performance of:
using object vs using map
Created:
5 years ago
by:
Guest
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Script Preparation code:
function usingObject() { let pingsData = {}; for ( let i = 0; i < 1000; i++ ) { pingsData[ i ] = 'aaaaaaaaaaa'; Object.keys( pingsData ).length; console.log( pingsData ); if ( i % 10 === 0 ) { pingsData = {}; } } } function usingMap() { const pingsData = new Map(); for ( let i = 0; i < 1000; i++ ) { pingsData.set( i, 'aaaaaaaaaaa' ); pingsData.size; console.log( Object.fromEntries( pingsData ) ); if ( i % 10 === 0 ) { pingsData.clear(); } } }
Tests:
using object
usingObject();
using map
usingMap()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
using object
using map
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 benchmark and its options. **Benchmark Definition** The provided JSON represents two benchmark definitions: 1. `usingObject()`: This function creates an object called `pingsData` and populates it with 1000 properties, each containing the string "aaaaaaaaaaa". The function then repeatedly logs the length of the object's keys, logs the entire object to the console, and resets the object every 10th iteration. The purpose of this benchmark is likely to test the performance of accessing an object by its keys. 2. `usingMap()`: This function creates a Map object called `pingsData` and populates it with 1000 key-value pairs, each containing the string "aaaaaaaaaaa". The function then repeatedly logs the size of the map, converts it back to an object using `Object.fromEntries()`, and clears the map every 10th iteration. The purpose of this benchmark is likely to test the performance of working with a Map data structure. **Options Compared** The two benchmarks compare the following options: * **Object vs Map**: Both functions create a collection to store data, but they use different data structures: objects (in `usingObject()`) and Maps (in `usingMap()`). * **Accessing by Keys**: In `usingObject()`, the function repeatedly accesses the object by its keys using `Object.keys()` and logs the length of the resulting array. In `usingMap()`, the function repeatedly accesses the map by its keys using `Map.prototype.size` and converts it back to an object using `Object.fromEntries()`. **Pros and Cons** * **Objects**: + Pros: Easy to use, widely supported, and well-established. + Cons: Accessing objects by their keys can be slower than using Maps. * **Maps**: + Pros: Fast lookups and access times, especially for large datasets. + Cons: Less intuitive and less widely supported than objects. In general, if you need to store data with fast lookups and access times, a Map might be a better choice. However, if you're working with smaller datasets or don't require the speed of Maps, an object might be sufficient. **Library Usage** There is no explicit library usage in these benchmarks, but `Object.fromEntries()` is used to convert the Map back to an object. This is a built-in JavaScript method that was introduced in ECMAScript 2017 (ES7). **Special JS Features/Syntax** None of the provided code uses special JavaScript features or syntax. **Alternatives** If you're interested in exploring alternative approaches, here are some options: * **Arrays**: Instead of objects or Maps, you could test using arrays to store and access data. * **Set**: You could also use Sets to store unique values and test their performance compared to Maps or objects. * **WeakMaps**: WeakMaps are a type of Map that don't prevent garbage collection. They might be useful in certain scenarios where memory management is critical. Keep in mind that these alternatives would likely change the focus of your benchmark, so it's essential to choose an approach that aligns with your testing goals.
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