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Join an Array with another Array vs an Object vs a Map
(version: 0)
Performs a join between an Array and another Array, or an Object, or a Map. Similar to a join between two tables in a database.
Comparing performance of:
Join an Array with an Array vs Join an Array with an Object vs Join an Array with a Map
Created:
4 years ago
by:
Registered User
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Script Preparation code:
const entries = Array(50000).fill('').map((_, index) => [`entry ${index}`, 'value']) window.array = [...entries] window.object = Object.fromEntries(entries) window.map = new Map() entries.forEach(([key, value]) => { window.map.set(key, value) }) window.reversedArray = window.array.reverse()
Tests:
Join an Array with an Array
const result = window.reversedArray.filter(([keyA])=> window.array.find(([keyB]) => keyA === keyB) !== undefined) if (result.length !== window.reversedArray.length) { throw new Error('Test case failed') }
Join an Array with an Object
const result = window.reversedArray.filter(([keyA]) => window.object[keyA] !== undefined) if (result.length !== window.reversedArray.length) { throw new Error('Test case failed') }
Join an Array with a Map
const result = window.reversedArray.filter(([keyA]) => window.map.get(keyA) !== undefined) if (result.length !== window.reversedArray.length) { throw new Error('Test case failed') }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
Join an Array with an Array
Join an Array with an Object
Join an Array with a Map
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into explaining the provided JSON benchmark. **Benchmark Overview** The benchmark measures the performance of joining two arrays, objects, and maps in JavaScript. It creates three test cases: 1. Joining an array with another array 2. Joining an array with an object 3. Joining an array with a map **Options Compared** The benchmark compares three different approaches to perform the join: 1. **Array**: Using `find()` and checking for existence in the array. 2. **Object**: Using dot notation (`window.object[keyA]`) to access object properties. 3. **Map**: Using the `get()` method of a map. **Pros and Cons of Each Approach** * **Array**: + Pros: Simple, intuitive, and efficient for small datasets. + Cons: Can be slow for large datasets due to the need to scan the entire array using `find()`. * **Object**: + Pros: Fast and efficient, especially when dealing with objects that have a fixed structure. + Cons: May not work well if the object properties are dynamic or if there are many null values. * **Map**: + Pros: Fast and efficient, even for large datasets. Maps provide O(1) lookups. + Cons: Requires creating a map first, which can add overhead. **Library Usage** None of the test cases use any external libraries. **Special JS Features/Syntax** The benchmark uses some standard JavaScript features: * Array methods (`fill()`, `map()`, `reverse()`) * Object notation (`window.object[keyA]`) * Map data structure (`new Map()`) However, it does not use any advanced JavaScript features like async/await, promises, or modernized array methods (e.g., `findIndex()`). **Other Alternatives** If the benchmark were to be rewritten, alternative approaches could include: * Using a library like Lodash or Ramda for more efficient joins * Implementing a custom join algorithm using techniques like hashing or caching * Using a different data structure, such as a trie or a graph, to optimize the join Keep in mind that these alternatives would likely introduce additional complexity and overhead, so it's essential to consider the trade-offs when choosing an approach.
Related benchmarks:
Array range generating
Array vs Object vs Map find
Map convert
Object.fromEntries vs Map
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