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Map vs Object (white)
(version: 0)
White of map vs object
Comparing performance of:
Map vs Object
Created:
5 years ago
by:
Registered User
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Script Preparation code:
var map = new Map(); var obj = {}; var i = 0, count = 1000;
Tests:
Map
for (i = 0; i < count; i++) { map.set(i, i); }
Object
for (i = 0; i < count; i++) { obj[i] = i; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Map
Object
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to explain what's being tested in this benchmark and compare different approaches. **Benchmark Overview** The benchmark compares the performance of two data structures: `Map` and `Object`. Both data structures are used to store key-value pairs, but they have different underlying implementations. **Script Preparation Code** Before running the test cases, the script prepares two data structures: * `map`: An instance of a JavaScript `Map` object. * `obj`: An empty JavaScript `Object`. The code also initializes two variables: `i`, which will be used as the key in both data structures, and `count`, which represents the number of iterations for each test case (set to 1000). **Html Preparation Code** There is no HTML preparation code provided, which means that this benchmark does not involve rendering or parsing any HTML content. **Test Cases** The benchmark consists of two test cases: * **Map**: Iterates over a range from 0 to `count-1` and sets each value in the `map` data structure to its corresponding key. * **Object**: Iterates over the same range and assigns each value in the `obj` object to its corresponding key. **Comparison of Approaches** The two approaches differ mainly in how they store and access their data: * **Map**: In JavaScript, a `Map` object is implemented as an ordered collection of key-value pairs. When you iterate over a `Map`, it performs a linear search for each iteration to find the corresponding value associated with a given key. On the other hand, when you directly index into a `Map` using its key (like `map.get(i)`), it returns the associated value immediately. * **Object**: In contrast, an object is implemented as a collection of properties stored in a single block of memory. Iterating over an object involves accessing each property by name, which can be slower than directly indexing into an array or `Map` since there are more lookups involved. **Pros and Cons** Here's a brief summary of the pros and cons for each approach: * **Map:** * Pros: * Faster lookups since keys are hashed. * More memory-efficient than objects, as it stores keys and values separately. * Ordered iteration is guaranteed, which can be useful in certain scenarios. * Cons: * Less intuitive for beginners who are familiar with object-oriented programming. * **Object:** * Pros: * More intuitive and easier to understand for developers familiar with object-oriented programming. * Easier to create and manipulate objects using dot notation (e.g., `obj.property = value;`). * Cons: * Slower lookups due to additional overhead from property lookup. **Special JS Feature/ Syntax** There is no special JavaScript feature or syntax being tested here. The benchmark focuses solely on the performance comparison between two basic data structures: `Map` and `Object`. **Alternatives** If you're interested in exploring alternatives, some other data structures that might be of interest include: * **Set**: Similar to a `Map`, but without the key-value pairs. * **Array**: A contiguous collection of values, which can be used for various operations like searching and insertion. * **WeakMap**: A `Map` variant that allows for weak references, making it suitable for use with garbage-collected objects. Keep in mind that each data structure has its strengths and weaknesses, depending on the specific requirements of your project.
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