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Map convert
(version: 0)
Comparing performance of:
Object.fromEntries vs Spread array
Created:
3 years ago
by:
Guest
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Script Preparation code:
var data = Object.entries({ ...Array.from(Array(100000).keys()) }).map((key, value) => [key, value]);
Tests:
Object.fromEntries
Object.entries(data)
Spread array
[...data]
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Object.fromEntries
Spread array
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark and explain what's being tested, compared, and the pros/cons of different approaches. **Benchmark Overview** The benchmark measures the performance of two JavaScript array manipulation operations: `Object.fromEntries` and spreading an array using square brackets (`[...]`). These operations are related to converting between different data structures in JavaScript. **Script Preparation Code** The script preparation code creates a large dataset by iterating over an array of 100,000 keys and creating objects with key-value pairs: ```javascript var data = Object.entries({ ...Array.from(Array(100000).keys()) }).map((key, value) => [key, value]); ``` This code converts the key-value pairs into an object using `Object.entries`, which returns an array of key-value pairs. **Html Preparation Code** There is no HTML preparation code provided for this benchmark. The test cases only involve JavaScript operations. **Test Cases** The two test cases are: 1. **`Object.fromEntries`**: This test case measures the performance of converting the `data` object into a new object using `Object.fromEntries`. 2. **`Spread array`**: This test case measures the performance of spreading the `data` array using square brackets (`[...]`). **Performance Comparison** The benchmark compares the performance of these two operations: * `Object.fromEntries`: Converts an array of key-value pairs into a new object. * Spread array (`[...]`): Creates a new array by copying elements from another array. **Pros and Cons** Here are some pros and cons of each approach: **`Object.fromEntries`** Pros: * More explicit and readable way to convert data structures * Less chance of unexpected side effects Cons: * May incur overhead due to object creation and iteration * Can be slower for large datasets **Spread array (`[...]`)** Pros: * Creates a shallow copy of the original array, which can be faster for large datasets * Avoids creating an intermediate object Cons: * Less explicit and less readable than `Object.fromEntries` * May lead to unexpected side effects if not used carefully **Device and Browser Variability** The benchmark results show that both Chrome 110 on Desktop (Windows) achieved a similar number of executions per second, but the spread array test was faster. **Other Considerations** When working with large datasets or performance-critical code, it's essential to consider the following factors: * Memory allocation and garbage collection overhead * Cache locality and spatial memory access patterns * Branch prediction and pipeline execution In this benchmark, the spread array approach might be preferred for its simplicity and potential performance benefits. However, the `Object.fromEntries` approach is more explicit and readable, making it a better choice when code readability and maintainability are prioritized. **Alternative Approaches** If you're looking for alternative approaches to convert data structures in JavaScript, consider: * Using libraries like Lodash or Ramda for functional programming utilities * Utilizing built-in methods like `Array.prototype.reduce()` or `Array.prototype.slice()` * Employing array manipulation techniques using indexing and slicing
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