Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
set vs array find if exists v2
(version: 0)
Comparing performance of:
array vs set
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var a = [100,90,80,70,60,50,40,30,20,1,2,3,4,5,6,7,8,9,10]; var b = new Set(a)
Tests:
array
a.indexOf(30);
set
b.has(30);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
array
set
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark JSON and explain what's being tested. **Benchmark Definition** The website provides a JavaScript microbenchmarking platform, where users can create and run benchmarks. The provided JSON represents a single benchmark definition: ```json { "Name": "set vs array find if exists v2", "Description": null, "Script Preparation Code": "var a = [100,90,80,70,60,50,40,30,20,1,2,3,4,5,6,7,8,9,10];\r\nvar b = new Set(a)", "Html Preparation Code": null } ``` Here's what's being tested: * A JavaScript variable `a` is initialized as an array of 20 integers. * Another variable `b` is created from the same array using a `Set` object. **Options Compared** Two different approaches are compared in this benchmark: 1. **Array indexing**: The first test case uses the `indexOf()` method to search for a specific element (30) in the array `a`. This approach has a time complexity of O(n), where n is the length of the array. 2. **Set lookup**: The second test case uses the `has()` method to check if an element exists in the set `b`. This approach has an average time complexity of O(1) for most modern JavaScript engines, as sets use a hash table internally. **Pros and Cons** Here are some pros and cons of each approach: * **Array indexing (indexOf())**: + Pros: widely supported across different browsers and environments. + Cons: can be slow for large datasets due to the O(n) time complexity. * **Set lookup (has())**: + Pros: generally faster than array indexing, especially for large datasets. + Cons: may not work as expected in older browsers or environments that don't support sets. **Library and Purpose** The `Set` object is a built-in JavaScript library that provides an efficient way to store and look up unique values. The purpose of using a set in this benchmark is to take advantage of the hash table implementation, which allows for fast lookup times. **Special JS Feature or Syntax** None mentioned in this benchmark. **Other Alternatives** While `Set` objects are widely supported, there are alternative data structures that can be used for fast lookups: * **Maps**: Like sets, maps provide key-value pairs and have an average time complexity of O(1) for lookup operations. * **Object literals**: You can also use object literals with the `in` operator or the `hasOwnProperty()` method to check if a property exists in an object. Keep in mind that these alternatives may not be as widely supported or performant as sets, especially in older browsers or environments.
Related benchmarks:
convert to set + set.has vs. array.includes
set vs array iteration
Includes (array) vs Has (Set)
set vs array find if exists
Comments
Confirm delete:
Do you really want to delete benchmark?