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SPlICE + UNSHIFT vs SORT (1000 items)
(version: 0)
Comparing performance of:
SPLICE + UNSHIFT: array 1000 items; itemIndex - 1000 vs SORT: array 1000 items; itemIndex - 1000
Created:
3 years ago
by:
Registered User
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Script Preparation code:
var arr = [...Array(1000)].map((_,i) => i)
Tests:
SPLICE + UNSHIFT: array 1000 items; itemIndex - 1000
let newArr = [...arr] const item = 999 const itemIndex = newArr.findIndex((x) => x === item) console.log('SPLICE + UNSHIFT [0] before', newArr[0]) console.log('SPLICE + UNSHIFT length before', newArr.length) newArr.splice(itemIndex, 1) newArr.unshift(item) console.log('SPLICE + UNSHIFT [0] after', newArr[0]) console.log('SPLICE + UNSHIFT length after', newArr.length)
SORT: array 1000 items; itemIndex - 1000
let newArr = [...arr] const item = 999 const itemIndex = newArr.findIndex((x) => x === item) console.log('SORT [0] before', newArr[0]) console.log('SORT length before', newArr.length) newArr = newArr.sort((a, b) => { if (a === item) { return -1 } if (b === item) { return 1 } return 0 }) console.log('SORT [0] after', newArr[0]) console.log('SORT length after', newArr.length)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Test case name
Result
SPLICE + UNSHIFT: array 1000 items; itemIndex - 1000
SORT: array 1000 items; itemIndex - 1000
Fastest:
N/A
Slowest:
N/A
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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. **Benchmark Description** The test compares two approaches for searching an array in JavaScript: 1. **SPLICE + UNSHIFT**: This approach uses the `splice()` method to remove an element at a specific index, and then shifts the remaining elements up to fill the gap. 2. **SORT**: This approach sorts the entire array using the `sort()` method, which has a linear search complexity. **Options Compared** The benchmark compares the performance of these two approaches: * SPLICE + UNSHIFT * SORT **Pros and Cons of Each Approach** 1. **SPLICE + UNSHIFT** * Pros: + More efficient than SORT for small arrays, as it avoids shifting the entire array. + Can be faster for arrays with a single target element. * Cons: + Requires two operations (splice and shift), which can be slower than SORT's single operation. 2. **SORT** * Pros: + Fastest approach for large arrays, as it sorts the entire array once. + Allows for more advanced search algorithms, such as binary search. * Cons: + Slow for small arrays, due to the sorting overhead. + Requires O(n log n) time complexity. **Library and Special JS Features** The benchmark uses the following library: * None explicitly stated, but it's likely that the test is running in a modern JavaScript environment with built-in support for array methods like `sort()` and `splice()`. No special JS features or syntax are used in this benchmark. The code adheres to standard JavaScript practices. **Other Alternatives** Some alternative approaches could be: 1. **Binary Search**: A more efficient approach than SORT, but still requires sorting the entire array. Binary search has a time complexity of O(log n), making it suitable for large arrays. 2. **Linear Search with Cache**: This approach stores the previously searched elements in an index, reducing the number of iterations required to find a specific element. However, this approach is more complex and may not be as efficient as SORT. **Benchmark Result Interpretation** The benchmark result shows the execution time per second for each browser on each platform. The results indicate that: * SPLICE + UNSHIFT is faster than SORT for this specific test case (SPLICE + UNSHIFT: 74741.5859375 executions/second vs SORT: 38921.3828125 executions/second). * However, the difference in performance may not be significant enough to justify using SPLICE + UNSHIFT over SORT for general array searching tasks. Keep in mind that benchmark results can vary depending on the specific test case, hardware, and JavaScript environment used.
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