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test arr
(version: 0)
Benchmark.js
Comparing performance of:
slice vs destructure
Created:
2 years ago
by:
Guest
Go to the latest result
Tests:
slice
const nums = [1, 2, 3, 4, 5] const [one, two, three] = nums.slice(0, 3)
destructure
const nums = [1, 2, 3, 4, 5] const [one, two, three] = nums
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
slice
destructure
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36
Browser/OS:
Chrome 119 on Mac OS X 10.15.7
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=487605" width="100%" height="500px"></iframe>
destructure
626.9M/s
slice
53.3M/s
View exact numbers
Test name
Executions per second
✓
destructure
626,911,680 Ops/sec
slice
53,328,264 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks and explore what's tested on MeasureThat.net. **Benchmark Definition** The benchmark definition is represented by two JSON objects: `Benchmark Definition` and `Test Case`. The former specifies the overall characteristics of the test, while the latter provides details about the individual test cases. In this case, we have a simple benchmark definition with no description or script preparation code. This indicates that the focus is on measuring the performance of JavaScript syntax variations for array destructuring. **Options Compared** There are two main options being compared: 1. **`slice()`**: This method creates a new array by slicing the original array from its beginning up to, but not including, the specified index. 2. **Deconstruction (`[ ... ]`)**: This is an operator-based approach that allows you to extract values directly into variables without creating intermediate arrays. **Pros and Cons** **`slice()`**: Pros: * Portable across all browsers * Easy to implement * Works well with large datasets Cons: * Creates a new array, which can lead to memory allocation overhead * May have slower performance due to the creation of an additional array **Deconstruction (`[ ... ]`)**: Pros: * More efficient, as it avoids creating intermediate arrays * Can be faster for small-to-medium-sized datasets Cons: * Not supported in older browsers (e.g., Internet Explorer) * May not work as expected with very large datasets or complex data structures **Other Considerations** When deciding between `slice()` and deconstruction, consider the size of your dataset, the target browser support, and performance-critical code paths. **Library Usage** There is no explicit library mentioned in the provided benchmark definition. However, some test cases may use libraries like Lodash or Array.prototype methods (e.g., `map()`, `reduce()`) that are not explicitly defined in the benchmark definition. **Special JavaScript Features/Syntax** The deconstruction syntax (`[ ... ]`) is a modern JavaScript feature introduced in ECMAScript 2015 (ES6). It allows you to extract values from arrays into variables using destructuring assignment. This syntax is supported by most modern browsers and JavaScript engines, but older versions might not recognize it. In summary, MeasureThat.net provides a platform for comparing the performance of `slice()` and deconstruction syntax variations in JavaScript microbenchmarks. When choosing between these approaches, consider factors like dataset size, target browser support, and performance-critical code paths. **Other Alternatives** If you're looking for alternative benchmarking tools or platforms, some popular options include: * jsPerf (now retired) * Benchmark.js * jsBench * Micro- benchmarks (e.g., tiny-benchmark) Keep in mind that these alternatives might have different features, focus areas, or requirements compared to MeasureThat.net.
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arr.slice(-1)[0] vs arr[arr.length - 1]
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