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filter vs for loop vs forEach
(version: 0)
Comparing performance of:
filter vs for loop vs forEach
Created:
2 years ago
by:
Guest
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Tests:
filter
const words = ["spray", "limit", "elite", "exuberant", "destruction", "present"]; const result = words.filter(function(word) { return word.length > 6 });
for loop
const words = ["spray", "limit", "elite", "exuberant", "destruction", "present"]; const result = [] for (let i = 0; i < words.length; i += 1) { const word = words[i]; if (word.length > 6) { result.push(word); } }
forEach
const words = ["spray", "limit", "elite", "exuberant", "destruction", "present"]; const result = [] words.forEach(function(word) { if (word.length > 6) { result.push(word); } });
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Suite status:
<idle, ready to run>
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Test case name
Result
filter
for loop
forEach
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview** The provided JSON represents a benchmark test case created using MeasureThat.net, which compares the performance of three different approaches to filter an array in JavaScript: `filter()`, `for loop`, and `forEach()`. **Benchmark Definition** The benchmark definition is not explicitly stated in the provided JSON, but based on the individual test cases, it can be inferred that the benchmark aims to measure the performance difference between these three approaches when filtering an array of strings. The filter condition checks if the word length is greater than 6. **Options Compared** Three options are compared: 1. `filter()`: A built-in JavaScript method for creating a new array with all elements that pass the test implemented by the provided function. 2. `for loop`: A traditional JavaScript loop structure used to iterate over an array and perform actions on each element. 3. `forEach()`: Another built-in JavaScript method that executes a callback function once for each element in an array. **Pros and Cons of Each Approach** 1. `filter()`: * Pros: Efficient, concise, and readable. It is optimized for performance and can be easily parallelized using Web Workers or other parallelization techniques. * Cons: May not be suitable for complex filtering scenarios where the callback function needs to access properties that are not available in the loop variables. 2. `for loop`: * Pros: Flexible, allowing for complex conditions and iterations beyond simple filtering. It is also easy to understand and implement. * Cons: Can be slower than `filter()` due to the overhead of manually managing array indices and loop variables. 3. `forEach()`: * Pros: Similar to `for loop` in terms of flexibility but more concise. It also provides a clear, readable way to perform common filtering operations. * Cons: May not be as efficient as `filter()` for large datasets due to the overhead of calling the callback function for each element. **Library and Special JS Features** None of the provided test cases use any external libraries or special JavaScript features beyond the built-in methods and syntax. However, it's worth noting that the benchmark might benefit from additional optimizations if it were to be run in a real-world scenario where other factors like memory allocation, garbage collection, or parallelization are considered. **Other Alternatives** In addition to the provided options, other approaches could be explored for filtering arrays: * `map()`: While primarily used for transforming data, `map()` can also be used with a callback function to filter elements. * `reduce()`: Similar to `filter()`, but applies a reduction operation to each element in the array instead of creating a new one. * Native WebAssembly (WASM) arrays: If running in a WASM environment, native arrays might offer better performance compared to JavaScript arrays. However, these alternatives are not part of the provided benchmark and may require additional configuration or modifications to MeasureThat.net.
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