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map Vs object vs array2
(version: 0)
Comparing performance of:
1 vs 1.2 vs 2 vs 2.2 vs 3
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:
1
[...map1.values(), ...map2.values(),]
1.2
map1.values();
2
[...Object.values(obj1), ...Object.values(obj2),]
2.2
Object.values(obj1)
3
[...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
1
1.2
2
2.2
3
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 dive into explaining the provided benchmark. **Benchmark Overview** The provided benchmark compares the performance of different methods to retrieve values from data structures: `Map`, `Object`, and arrays (`array`). **Test Cases** There are four individual test cases: 1. **Retrieve all values from a Map**: The test case uses `[...map1.values(), ...map2.values()]` (case 1), `map1.values()`, `[...Object.values(obj1), ...Object.values(obj2)]` (case 2), and `Object.values(obj1)` (case 2.2). These tests aim to measure the performance of different methods to retrieve all values from a Map. 2. **Retrieve a value from a Map**: The test case uses `map1.values()` (case 1.2) and `Object.values(obj1)` (case 2.2). 3. **Retrieve all values from an array**: The test case uses `[...arr1, ...arr2]` (case 3). **Data Structures** The benchmark uses the following data structures: * Two `Map`s (`map1` and `map2`) with four key-value pairs each. * Two objects (`obj1` and `obj2`) with four properties each. * Two arrays (`arr1` and `arr2`) with four elements each. **Library** The benchmark uses the following libraries: * None explicitly mentioned, but it's worth noting that JavaScript doesn't have a native "Map" library, as Maps are built-in objects in modern browsers. However, if you're running this benchmark in a Node.js environment or a different context, it might use the `map` function from the `Array.prototype` or an external library. **Special JS Feature/Syntax** None mentioned explicitly in this benchmark. **Performance Comparison** The performance of these methods can be influenced by various factors: * **Map**: Using `[...map1.values(), ...map2.values()]` might be slower due to the overhead of creating a new array, while `map1.values()` is likely faster as it returns an iterator. * **Object**: Similar to `Map`, using `[...Object.values(obj1), ...Object.values(obj2)]` might be slower than just calling `Object.values(obj1)` because of the extra iteration. **Pros and Cons** Here are some pros and cons for each approach: * **[...map1.values(), ...map2.values()]**: Pros - returns all values from both Maps, Cons - creates a new array and iterates over it. * **map1.values()**: Pros - faster as it returns an iterator, but only returns one Map's values. Cons - might be slower if you need to process the values in both Maps simultaneously. * **[...Object.values(obj1), ...Object.values(obj2)]**: Pros - similar to `Map`, but works with objects, Cons - might be slower due to extra iteration and creating a new array. * **Object.values(obj1)**: Pros - faster as it returns an iterator, Cons - only returns values from one object. **Other Alternatives** If you need to compare performance of these methods in different contexts or languages, consider the following alternatives: * For Node.js environments: Use the `map` function from the `Array.prototype` for arrays and `Object.keys()`/`Object.values()` for objects. * For browser-based development: Use built-in `Map`, `Object`, and array methods. * For other programming languages: Research language-specific equivalents of these methods, such as Python's `dict` or Java's `HashMap`. I hope this explanation helps you understand the provided benchmark!
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