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Map vs Object set value
(version: 0)
Comparing performance of:
Map vs Object
Created:
3 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var map = new Map(); var obj = {}; var randomU32 = function() { return Math.random() * (1 << 31) >>> 0; }
Tests:
Map
map.set(randomU32(), true);
Object
obj[randomU32()] = true;
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):
Let's dive into the explanation of the provided benchmark. **What is being tested?** The benchmark measures the performance difference between using a `Map` data structure and an object (`{}`) to store boolean values, specifically when setting a value on a randomly generated key. The test case checks how fast each approach can set a value on its respective data structure. **Options compared:** Two main options are being compared: 1. **`Map.set()`**: This method sets the value of the specified key in the map to the given value. In this benchmark, it's used to set a boolean value `true` for a random key generated by the `randomU32()` function. 2. **`obj[key] = true`**: This is using an object literal (`{}`) and setting the value of a property on the object with a randomly generated key. **Pros and Cons:** **Map.set():** Pros: * Efficient use of memory, as only the necessary data is stored * Fast lookups and insertions Cons: * May have slower startup times due to map initialization * Can be slower for very large datasets due to the overhead of internal data structures **obj[key] = true**: Pros: * Simple and straightforward syntax * Faster startup times, as no additional data structure is required Cons: * Inefficient use of memory, as all keys must be stored in an object literal * Slow lookups and insertions due to the need to access every property on the object **Other considerations:** Both approaches have their trade-offs. `Map.set()` offers faster performance for large datasets but requires more overhead during initialization. On the other hand, `obj[key] = true` is simpler to understand and implement but uses more memory. **Library/Dependency:** There is no explicit library or dependency mentioned in the benchmark definition. However, it's worth noting that if the benchmark were using a custom library for either of these approaches, it would impact the results. **Special JS feature/syntax:** The `>>> 0` syntax used in the `randomU32()` function is a bitwise right shift operation to ensure the result is a non-negative integer. This syntax relies on the ECMAScript specification and is not specific to any particular browser or version. I hope this explanation helps software engineers understand the benchmark and its underlying mechanics!
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