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Map vs Object - in loop + data retrieval
(version: 0)
Comparing performance of:
Map.set in loop + Map.get retrieval vs Object key:value assignment in loop + retrieval with key
Created:
4 years ago
by:
Guest
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Tests:
Map.set in loop + Map.get retrieval
const mapA = new Map() const mapB = new Map() const n = Array(1000000).fill(0) n.forEach((value, index) => { mapA.set(index, index); mapB.set(index, index); }) mapA.get(2)
Object key:value assignment in loop + retrieval with key
const objA = {} const objB = {} const n = Array(1000000).fill(0) const targetIndex = 100 let id = null n.forEach((value, index) => { if(targetIndex === index) { id = index } objA[index]= index objB[index]= index }) objA[id]
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Suite status:
<idle, ready to run>
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Test case name
Result
Map.set in loop + Map.get retrieval
Object key:value assignment in loop + retrieval with key
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 provided benchmark and explain what is being tested. **Benchmark Overview** The test measures the performance difference between using `Object` and `Map` data structures in JavaScript, specifically when assigning key-value pairs in a loop and retrieving values with specific keys. **Options Compared** There are two options compared: 1. **Object**: Using an object literal (`{}`) to store key-value pairs. 2. **Map**: Using a `Map` object to store key-value pairs. **Pros and Cons of Each Approach** ### Object Pros: * Easier to understand and work with for simple use cases. * Can be more intuitive when working with keys that are not numerical or string-based. Cons: * May have slower performance compared to Map, especially when dealing with large datasets. * Key-value pairs are stored in a single array, which can lead to slower lookup times. ### Map Pros: * Faster performance compared to Object for large datasets. * Allows for fast and efficient key-value pair lookups using the `get()` method. Cons: * Can be more challenging to understand and work with for beginners or those without experience with Maps. * Key-value pairs are stored in a separate data structure, which can lead to additional memory overhead. **Library/Utility Used** None mentioned. However, it's worth noting that the benchmark uses native JavaScript data structures (`Object` and `Map`) rather than any external libraries or frameworks. **Special JS Features/Syntax** None explicitly used in this benchmark, but if we consider ES6+ syntax, the use of arrow functions (`=>`) is a notable feature. However, since it's not specific to this test case, I won't delve deeper into it. **Other Alternatives** If you wanted to compare other data structures or approaches, here are some alternatives: 1. **Array**: Using an array with indexed values (e.g., `arr[index] = index`) compared to Object/Map. 2. **Set**: Using a `Set` object to store unique key-value pairs compared to Object/Map. 3. **WeakMap**: Using a `WeakMap` object to store weak references and avoid memory leaks compared to Object/Map. These alternatives would require modifications to the benchmark code, but they could provide interesting insights into different performance scenarios. Keep in mind that this is just one possible interpretation of the benchmark. Depending on specific requirements or use cases, other approaches might be more suitable.
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