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Object.fromEntries x reduce (correctly using fromEntries - addtl work)
(version: 0)
Comparing performance of:
Object.fromEntries vs Reduce (reuse object) vs Reduce (creating temporary objects)
Created:
3 years ago
by:
Guest
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Script Preparation code:
var data = { ...Array.from(Array(10000).keys()) };
Tests:
Object.fromEntries
Object.fromEntries(Object.entries(data).map(([k,v]) => [k+'a',v]));
Reduce (reuse object)
Object.entries(data).reduce((acc, [k, v]) => { acc[k+'a'] = v; return acc; }, {});
Reduce (creating temporary objects)
Object.entries(data).reduce((acc, [k, v]) => ({ ...acc, [k+'a']: v }), {});
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Object.fromEntries
Reduce (reuse object)
Reduce (creating temporary objects)
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 provided benchmark and explain what is being tested, compared, and their pros and cons. **Benchmark Overview** The benchmark measures the performance of two approaches to create an object from entries: 1. Using `Object.fromEntries` with correct usage (adding extra work) 2. Using `reduce` with an existing object 3. Using `reduce` without creating temporary objects **Library Usage: None** There is no explicit library mentioned in the benchmark definition or test cases. However, it's worth noting that `Object.entries()` and `Array.from()` are built-in JavaScript methods. **Special JS Feature/Syntax: None** There are no special JavaScript features or syntax used in this benchmark. The code snippets are straightforward and follow standard JavaScript conventions. **Comparison of Approaches** 1. **`Object.fromEntries` with correct usage**: This approach creates a new object from the provided entries using `Object.fromEntries()`. However, according to the benchmark definition, the test case expects to see additional work being done (not explicitly specified). This might imply that the benchmark is testing whether the implementation correctly handles this scenario. * Pros: Easy to understand and implement, no need for manual indexing or iteration. * Cons: May not be optimized for performance in all cases. 2. **`reduce` with an existing object**: In this approach, the `reduce()` method is used to create a new object by iterating over the entries and assigning values to the resulting object. * Pros: Can be more efficient than creating a new object using `Object.fromEntries()`, especially if the resulting object can be reused. * Cons: Requires manual indexing or iteration, which might lead to performance issues if not optimized correctly. 3. **`reduce` without creating temporary objects**: This approach uses `reduce()` to create a new object by iterating over the entries and assigning values directly to the resulting object. * Pros: Reduces memory allocation overhead compared to using `Object.fromEntries()`. * Cons: Requires manual indexing or iteration, which might lead to performance issues if not optimized correctly. **Benchmark Result** The latest benchmark result shows that: 1. **`Reduce (reuse object)`**: This approach performs the best with 434 executions per second. 2. **`Object.fromEntries`**: This approach performs relatively well with 377 executions per second, indicating that it might be optimized for this specific use case. 3. **`Reduce (creating temporary objects)`**: This approach performs poorly with only 0.245 executions per second, likely due to the overhead of creating temporary objects. **Other Alternatives** If `Object.fromEntries()` is not available or not suitable for this use case, other alternatives could include: 1. Using `Array.prototype.reduce()` on a new object. 2. Implementing a custom loop to create the object from entries. 3. Utilizing a library like Lodash's `fromPairs()` function. Keep in mind that these alternatives might have different performance characteristics and may require additional considerations for optimization.
Related benchmarks:
reduce (immutable) vs map + fromEntries
Map & Object.fromEntries vs reduce
Data normalization
Object.fromEntries on array vs reduce on array
Object.fromEntries vs reduce round 2
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