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oject vs array
(version: 0)
Comparing performance of:
object vs array
Created:
5 years ago
by:
Guest
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Script Preparation code:
var o = {x: 1, y: 2, z: 3}; var a = [1,2,3];
Tests:
object
for (var i=0; i<1000;i++){ var t = o.x * o.y * o.z; }
array
for (var i=0; i<1000;i++){ var t = a[0] * a[1] * a[2]; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
object
array
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 the benchmark and its options. **Benchmark Overview** The benchmark, named "object vs array", is designed to compare the performance of two data structures: objects and arrays. The script preparation code initializes an object `o` with three properties (`x`, `y`, and `z`) and an array `a` with three elements (1, 2, and 3). The benchmark then runs a loop that performs a calculation on these data structures. **Options Compared** The two options being compared are: 1. **Object-based calculation**: In the "object" test case, the calculation is performed using the object's properties (`o.x * o.y * o.z`). 2. **Array-based calculation**: In the "array" test case, the calculation is performed using the array elements (`a[0] * a[1] * a[2>`). **Pros and Cons** Here are some pros and cons of each approach: * **Object-based calculation**: + Pros: May be more readable and maintainable for developers familiar with objects. + Cons: Can lead to slower performance due to the overhead of accessing object properties through dot notation (e.g., `o.x`) compared to accessing array elements by index (e.g., `a[0]`). * **Array-based calculation**: + Pros: Typically faster and more efficient, as it avoids the overhead of accessing object properties. + Cons: May be less readable for developers unfamiliar with arrays. **Library and Special JS Features** There are no libraries or special JavaScript features used in this benchmark. The script only uses basic JavaScript syntax and data structures. **Other Considerations** * **Memory allocation**: Both options allocate memory on the heap, but the object-based approach may lead to more memory fragmentation due to the creation of multiple objects with different sizes. * **Cache locality**: The array-based calculation may exhibit better cache locality, as the elements are stored contiguously in memory. **Alternative Benchmarks** Other benchmarks that compare performance of data structures like objects and arrays might include: * A benchmark that compares the performance of object-based vs. array-based lookups * A benchmark that tests the performance of different data structure implementations (e.g., a custom object vs. a built-in JavaScript object) * A benchmark that evaluates the performance of data-driven programming using arrays or objects Keep in mind that the choice of benchmark options depends on the specific use case and requirements.
Related benchmarks:
array[0] vs array.at(0)
array[1] vs array.at(1)
array[1] vs array.at(1) 2
array[2] vs array.at(2)
array[index] vs array.at(index)
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