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forEach vs reduce vs map vs filter
(version: 0)
Comparing performance of:
forEach vs reduce vs map vs filter
Created:
8 years ago
by:
Guest
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Script Preparation code:
var arr = []; for (var i = 0; i < 12345; i++) { arr[i] = i; } function someFn(i) { return (i * 3 * 8 / 1200 * 0.002 / 40 * 0.2); } var sumForEach = 0, sumReduce = 0, sumMap = 0, sumFilter = 0;
Tests:
forEach
arr.forEach(item => sumForEach += someFn(item));
reduce
sumReduce = arr.reduce((lastValue, item) => { return sumReduce += someFn(item); });
map
arr.map(item => (sumMap += someFn(item)));
filter
arr.filter(item => (sumFilter += someFn(item)));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
forEach
reduce
map
filter
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Overview** The provided JSON represents a JavaScript microbenchmarking test case, specifically designed to compare the performance of four different array operations: `forEach`, `reduce`, `map`, and `filter`. The benchmark measures how many executions per second each operation can handle on a given input. **Array Operations Comparison** 1. **`forEach`**: Iterates over an array using a callback function, executing it for each element. 2. **`reduce`**: Reduces an array to a single value by applying a callback function to each element in order. 3. **`map`**: Creates a new array with the results of applying a callback function to each element in the original array. 4. **`filter`**: Creates a new array with all elements that pass a provided test. **Options Comparison and Pros/Cons** * **`forEach`**: * **Pros**: Simple, easy to understand, and suitable for simple operations like iterating over an array and performing a single action per element. * **Cons**: Not optimized for performance; can be slower than other methods due to the overhead of callback functions and iteration checks. * **`reduce`**: * **Pros**: Efficient and optimized for performance, suitable for reducing arrays to a single value. Can handle complex operations by chaining multiple reductions. * **Cons**: More complex and less intuitive than `forEach`, requires careful handling of initial values, identity values, and error handling. * **`map`**: * **Pros**: Creates a new array with transformed elements, suitable for simple transformations. Can be faster than `forEach` due to the elimination of unnecessary overhead. * **Cons**: Requires creating a new array, which can lead to memory allocation issues and higher performance costs if the resulting array is large. * **`filter`**: * **Pros**: Efficiently filters out unwanted elements from an array, suitable for simple filtering operations. Can be faster than `forEach` due to the elimination of unnecessary overhead. * **Cons**: Less flexible than `reduce`, requires careful handling of edge cases and performance. **Library Usage (None in this case)** This benchmark does not use any external libraries, focusing solely on native JavaScript operations for comparison. **Special JS Features/ Syntax** The test makes use of modern JavaScript features such as arrow functions (`item => sumForEach += someFn(item)`), template literals (`var arr = [];`), and block scope (using `var` instead of `let` or `const`). These features are commonly used in modern JavaScript development but may not be supported by older browsers. **Other Alternatives** Alternative array operations that could have been compared include: * **`every`**: Tests whether all elements in an array pass a test. * **`some`**: Returns true if at least one element in an array passes a test. * **`indexOf`, `lastIndexOf`, and `findIndex`**: Searches for specific elements or indices within arrays. However, these methods are not as commonly used for general array operations and were not included in this benchmarking test.
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