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Map vs Array vs Set vs Object set uint32 key speed fork
(version: 2)
Comparing performance of:
Map vs Array vs Object vs Set
Created:
3 years ago
by:
Registered User
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Script Preparation code:
var map = new Map(); var arr = []; var obj = {}; var set = new Set() function randomU32() { return Math.random() * (1 << 31) >>> 0; }
Tests:
Map
map.set(randomU32(), true); let y = map.has(randomU32()); map.delete(randomU32());
Array
arr[randomU32()] = true; let y = randomU32() in arr; delete arr[randomU32()];
Object
obj[randomU32()] = true; let y = randomU32() in obj; delete obj[randomU32()];
Set
set.add(randomU32()); let y = set.has(randomU32()); set.delete(randomU32());
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
Fork
Test case name
Result
Map
Array
Object
Set
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided JSON represents a benchmark with four test cases: Map, Array, Object, and Set. The benchmark tests the performance of each data structure (Map, Array, Object, and Set) by performing a series of operations: 1. Insertion (adding an element) 2. Search (checking if an element exists) 3. Deletion (removing an element) **Options Compared** The benchmark compares the following options: * **Map**: A JavaScript object that stores key-value pairs. Maps are implemented as hash tables, which provide fast lookup and insertion times. * **Array**: An ordered collection of values. Arrays are implemented as contiguous blocks of memory, which can be slow for random access operations. * **Object**: A generic container that can hold any type of value. Objects are essentially maps with string keys, but they can also be used as arrays or sets in certain contexts. * **Set**: A collection of unique values. Sets are implemented as hash tables, similar to maps, but they only store unique elements. **Pros and Cons** Here's a brief summary of the pros and cons of each data structure: * **Map**: + Pros: Fast lookup and insertion times (average O(1) time complexity), efficient use of memory. + Cons: Can be slower for deletion operations (average O(1) time complexity). * **Array**: + Pros: Fast random access, can be used as a stack or queue. + Cons: Slower lookup and insertion times (average O(n) time complexity), less efficient use of memory compared to maps and sets. * **Object**: + Pros: Generic container that can hold any type of value, can be used as an array or set in certain contexts. + Cons: Can be slower than maps and sets for lookup and insertion operations (average O(1) time complexity), less efficient use of memory compared to maps and sets. * **Set**: + Pros: Fast membership testing (average O(1) time complexity), efficient use of memory. + Cons: Slower deletion times (average O(1) time complexity). **Library Used** None of the test cases use any external libraries. The data structures are implemented natively by JavaScript. **Special JS Features or Syntax** None of the test cases use any special JavaScript features or syntax beyond standard ECMAScript 2022 syntax. **Other Considerations** When choosing a data structure for your specific use case, consider factors such as: * **Frequency of insertion and deletion**: If you need to frequently add or remove elements, a set or map might be a better choice. * **Frequent membership testing**: If you often need to check if an element exists in the collection, a set is likely a better option. * **Random access**: If you need to access elements at arbitrary positions within the collection, an array might be a better choice. **Alternatives** Other data structures that could have been included in this benchmark are: * **Hash Table**: A more general term for a map or set implementation. * **Tree-based data structure**: Such as a binary search tree or a balanced tree. * **Linked List**: An ordered collection of nodes with pointers to each other. However, these alternatives were not considered in the original benchmark.
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