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Set vs Object vs Map Retrieval
(version: 0)
Comparing performance of:
Set vs Object vs Map
Created:
3 years ago
by:
Guest
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Tests:
Set
var set = new Set(["one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten"]); set.has('five')
Object
var set = {"one": true, "two": true, "three": true, "four": true, "five": true, "six": true, "seven": true, "eight": true, "nine": true, "ten": true}; set['five']
Map
var set = new Map([["one", true], ["two", true], ["three", true], ["four", true], ["five", true], ["six", true], ["seven", true], ["eight", true], ["nine", true], ["ten", true]]); set.has('five')
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Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
Set
Object
Map
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and explain what's being tested, compared, and their pros and cons. **Benchmark Overview** The test measures the performance of three data structures in JavaScript: Sets, Objects, and Maps. The focus is on retrieving a specific value from each data structure using various methods (e.g., `has()`, property access (`[]` or dot notation)). **Data Structures Being Tested** 1. **Sets**: A Set is an unordered collection of unique values. It's designed for efficient membership testing and fast lookups. 2. **Objects**: An Object is a key-value data structure that allows you to store and retrieve specific values using keys (also known as property names). 3. **Maps**: A Map is an object that stores key-value pairs, allowing for fast lookups by key. **Comparing Approaches** The benchmark compares the performance of three approaches: 1. **Object Property Access**: Using dot notation or bracket notation (`[]`) to access a specific value in an Object. 2. **Set Membership Testing**: Using `has()` method to check if a value exists in a Set. 3. **Map Key Lookup**: Using `has()` method to look up a key in a Map. **Pros and Cons of Each Approach** 1. **Object Property Access**: * Pros: Fast performance, widely supported. * Cons: May require additional type checking, can be slower for large datasets. 2. **Set Membership Testing**: * Pros: Fast performance, designed for membership testing. * Cons: Can be slower for non-membership operations (e.g., adding, removing). 3. **Map Key Lookup**: * Pros: Designed for key-value pairs, fast lookups. * Cons: May require additional type checking, can be slower for large datasets. **Library Used** None of the test cases use any libraries explicitly mentioned in the JSON data. However, it's worth noting that JavaScript engines like Firefox may have internal optimizations or caching mechanisms that could affect performance. **Special JS Features/Syntax (Not Mentioned)** No special JavaScript features or syntax are used in this benchmark. The code is straightforward and focuses on demonstrating the performance differences between Sets, Objects, and Maps. **Other Alternatives** If you're interested in exploring alternative data structures or approaches, consider: 1. **Arrays**: While not specifically optimized for membership testing, arrays can be used as a fallback or for other operations. 2. **Hash Tables**: Similar to Maps, hash tables provide fast lookups but may have different implementation details. 3. **Custom Data Structures**: Depending on the specific use case, you might consider creating custom data structures tailored to your performance requirements. Keep in mind that this benchmark is specifically designed to compare the performance of Sets, Objects, and Maps in JavaScript, so exploring alternative approaches would require additional experimentation or context.
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