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arr unshift vs push + reverse (large array)
(version: 0)
Comparing performance of:
unshift vs push + reverse
Created:
5 years ago
by:
Guest
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Script Preparation code:
var arr = [];
Tests:
unshift
for (let i = 0; i < 100000; i++){ arr.unshift(i); }
push + reverse
for (let i = 0; i < 100000; i++){ arr.push(i); } arr.reverse();
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
unshift
push + reverse
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36
Browser/OS:
Chrome 135 on Mac OS X 10.15.7
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Test name
Executions per second
unshift
0.2 Ops/sec
push + reverse
69.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested, compared options, pros and cons, and other considerations. **Benchmark Definition** The provided JSON represents a JavaScript microbenchmark named "arr unshift vs push + reverse (large array)". This benchmark compares the performance of two approaches: 1. Using `unshift()` to add elements to the beginning of an array. 2. Using `push()` followed by reversing the array using `reverse()`. **Script Preparation Code** The script preparation code is `var arr = [];`, which initializes an empty array `arr`. **Html Preparation Code** There is no HTML preparation code provided, so we'll assume it's not being used or is already handled elsewhere. **Individual Test Cases** We have two test cases: 1. **"unshift"`**: This test case uses a single line of code: `for (let i = 0; i < 100000; i++){\r\n arr.unshift(i);\r\n}`. The loop iterates 100,000 times and adds the current value of `i` to the beginning of `arr` using `unshift()`. 2. **"push + reverse"`**: This test case consists of two lines: `for (let i = 0; i < 100000; i++){\r\n arr.push(i);\r\n}` and `\r\narr.reverse();`. The loop iterates 100,000 times and adds the current value of `i` to the end of `arr` using `push()`, followed by reversing the array using `reverse()`. **Library Used** In both test cases, no libraries are explicitly mentioned. However, it's likely that the benchmark is running in a browser environment, where built-in JavaScript functionality is used. **Special JS Feature or Syntax** There are no special JavaScript features or syntaxes being tested in these benchmarks. **Pros and Cons of Different Approaches** 1. **`unshift()`**: * Pros: Can be more efficient for adding elements to the beginning of an array, as it doesn't require creating a new array and copying elements. * Cons: Can lead to slower performance due to the increased memory allocation required for the new element, especially in large arrays. 2. **`push()` + `reverse()`**: * Pros: Can be faster when dealing with large arrays, as it avoids the overhead of allocating a new array and copying elements using `unshift()`. * Cons: Requires an additional reverse operation, which can introduce additional overhead. **Other Considerations** When deciding between these approaches, consider the following: * **Memory allocation**: If you're working with very large arrays, `unshift()` might be less efficient due to increased memory allocation. * **Array reversal**: Reversing a large array using `reverse()` can be an expensive operation. If possible, try to avoid reversing the array altogether or use more efficient algorithms like `slice()` and `reverse()`. * **Browser implementation**: Different browsers may implement these methods differently, affecting performance. **Alternative Approaches** Other approaches you might consider for adding elements to an array include: * Using a data structure like a linked list or a doubly linked list. * Utilizing a library or framework optimized for array manipulation (e.g., React's `useState()` and `useReducer()` hooks). * Implementing your own optimized algorithm, such as using a single pass through the array and updating the elements accordingly. Keep in mind that these alternatives might not be relevant to this specific benchmark, but they demonstrate other ways to approach similar problems.
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