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Array loop vs foreach vs map vs while new array
(version: 0)
Comparing performance of:
foreach vs for vs map vs while
Created:
4 years ago
by:
Guest
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Script Preparation code:
var arr = []; for (var i = 0; i < 1000000; i++) { arr[i] = i; } function someFn(i) { return i * 3 * 8; }
Tests:
foreach
var newArr = [] arr.forEach(function (item){ newArr.push(someFn(item)); })
for
var newArr = [] for (var i = 0, len = arr.length; i < len; i++) { newArr.push(someFn(arr[i])); }
map
var newArr = arr.map(item => someFn(item))
while
let i = 0, len = arr.length; var newArr = [] while (i<len) { newArr.push(someFn(arr[i])); i++; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
foreach
for
map
while
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 benchmark and its test cases. **Benchmark Definition** The benchmark is designed to compare the performance of different JavaScript loops for creating a new array: `Array` loop, `for` loop, `forEach` loop, and `while` loop with a new array creation. The script preparation code creates an array of 1 million elements, each with a simple function that multiplies its value by 3 and 8. **Test Cases** There are four test cases: 1. **`foreach` loop**: This test case uses the `forEach` method to iterate over the array and create a new array with the same number of elements. 2. **`for` loop**: This test case uses a traditional `for` loop to iterate over the array and create a new array with the same number of elements. 3. **`map` method**: This test case uses the `map` method to create a new array by applying the multiplication function to each element in the original array. 4. **`while` loop**: This test case uses a `while` loop to iterate over the array and create a new array with the same number of elements. **Library and Special JavaScript Features** None of the test cases use any external libraries or special JavaScript features beyond what's included in the benchmark definition. The only notable aspect is that the `map` method is used, which is a built-in JavaScript method for creating a new array by applying a transformation function to each element. **Performance Considerations** When it comes to performance, the order of operations and loop structure can significantly impact execution time. Here's a brief overview of the pros and cons of each approach: 1. **`foreach` loop**: This loop is generally slower than others because it involves more overhead due to the iteration and callback function invocation. 2. **`for` loop**: A traditional `for` loop is usually faster than the other loops because it avoids the overhead of callback functions and has direct access to array elements. 3. **`map` method**: The `map` method can be slower than a simple loop, especially for large datasets, due to its creation of an intermediate array and additional function calls. **Other Alternatives** If you're looking for alternatives or variations on this benchmark, consider the following: * Using other data structures like `Set`, `Queue`, or `Deque`. * Incorporating parallel processing using Web Workers or async/await. * Introducing more complex transformation functions or conditional statements within the loops. * Adding noise to the input data (e.g., random values, NaNs) to simulate real-world scenarios. **Benchmarking Insights** The provided benchmark results show that the `while` loop is currently the fastest, followed by the `for` loop. The `map` method and `foreach` loop are slower due to their additional overhead. Keep in mind that these results may vary depending on the specific browser, version, and system configuration. In conclusion, this benchmark provides a comprehensive comparison of different JavaScript loops for creating a new array, highlighting the importance of loop structure, callback functions, and data access patterns when optimizing performance.
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