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map Vs object vs array3
(version: 0)
Comparing performance of:
map test for merge vs map.values() vs object merge vs object values vs array merge
Created:
3 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var map1 = new Map(); map1.set('a1', 1); map1.set('b1', 2); map1.set('c1', 3); map1.set('d1', 4); map1.set('a', 5); var map2 = new Map(); map2.set('a2', 1); map2.set('b2', 2); map2.set('c2', 3); map2.set('d2', 4); map2.set('a', 5); var obj1 = { 'a1': 1, 'b1': 2, 'c1': 3, 'd1': 4 }; var obj2 = { 'a2': 1, 'b2': 2, 'c2': 3, 'd2': 4 }; var arr1 = [1, 2, 3, 4]; var arr2 = [5, 6, 7, 8];
Tests:
map test for merge
const items =[...map1.values(), ...map2.values(),]
map.values()
const items = map1.values();
object merge
const items = [...Object.values(obj1), ...Object.values(obj2),]
object values
const items =Object.values(obj1)
array merge
const items =[...arr1, ...arr2,]
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (5)
Previous results
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Test case name
Result
map test for merge
map.values()
object merge
object values
array merge
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and its test cases. **Benchmark Overview** The benchmark measures the performance of different JavaScript data structures: Maps, Arrays, and Objects. Specifically, it tests how these data structures can be merged or iterated over. **Data Structures Comparison** The benchmark provides three types of data structures: 1. **Maps**: A Map is a collection of key-value pairs where each key is unique. 2. **Arrays**: An Array is a collection of values that are stored in contiguous memory locations. 3. **Objects**: An Object is an unordered collection of key-value pairs, similar to a Map. **Options Compared** The benchmark compares the following options: 1. **Map Values**: Iterating over the values of a Map using the `values()` method. 2. **Array Merge**: Merging two Arrays into one using the spread operator (`...`). 3. **Object Values**: Iterating over the values of an Object using the `values()` method. 4. **Object Merge**: Merging two Objects into one. **Pros and Cons** Here's a brief summary of the pros and cons of each approach: 1. **Map Values**: * Pros: Efficient for large datasets, as it avoids iterating over keys. * Cons: May require additional memory to store the Map, and iteration can be slower than other methods. 2. **Array Merge**: * Pros: Fast and memory-efficient, as it uses contiguous memory locations. * Cons: May not perform well for very large datasets, and requires careful handling of edge cases (e.g., duplicate values). 3. **Object Values**: * Pros: Similar to Map Values, but may be faster due to the simplicity of iteration. * Cons: Requires additional memory to store the Object, and iteration can be slower than other methods for very large datasets. 4. **Object Merge**: * Pros: Can handle complex merging scenarios, such as nested objects. * Cons: May be slower and more memory-intensive than Array Merge. **Library Usage** The benchmark uses the `Map` data structure from the JavaScript standard library, which is built-in to most modern browsers and Node.js implementations. The `Array` data structure is also part of the standard library, while the `Object` data structure is implemented using the same syntax as a Map. **Special JS Features/Syntax** None of the test cases use any special JavaScript features or syntax beyond what's required for basic iteration and merging. **Alternatives** Other alternatives to these approaches include: 1. **Destructuring**: Using destructuring assignment (e.g., `const [a, b] = arr`) to extract values from an Array. 2. **Spread Operators with Rest Parameters**: Using the spread operator (`...`) with rest parameters (e.g., `function merge(a, b) { return [...a, ...b]; }`) to merge Arrays. 3. **Object Comprehensions**: Using object comprehensions (e.g., `const obj = Object.fromEntries([['a', 1], ['b', 2]])`) to create new Objects. Keep in mind that these alternatives may have different performance characteristics or require additional setup, so they might not be suitable for all use cases.
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