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filter() then map() vs reduce() + concat() vs reduce() + push() vs forEach()
(version: 0)
Comparing performance of:
filter() then map() vs reduce() + concat() vs reduce() + push() vs forEach
Created:
3 years ago
by:
Guest
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Tests:
filter() then map()
const arr = [{a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}]; const filterMap = arr.filter(x => x.a !== 1).map(x => x.a)
reduce() + concat()
const arr = [{a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}]; const reduceConcat = arr.reduce((acc, val) => val.a === 1 ? acc : acc.concat([val.a]), []);
reduce() + push()
const arr = [{a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}]; const reducePush = arr.reduce((acc, val) => { if (val.a !== 1) acc.push(val.a); return acc; }, []);
forEach
const arr = [{a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}, {a: 1}, {a: 2}, {a: 1}]; let result = [] const forEach = arr.forEach(val => { if (val.a !== 1) result.push(val.a); });
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Suite status:
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Test case name
Result
filter() then map()
reduce() + concat()
reduce() + push()
forEach
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 benchmark and its test cases. **What is being tested?** MeasureThat.net is testing the performance of different JavaScript operations on an array of objects. Specifically, it's comparing the performance of three approaches: 1. **filter() then map()**: Applying a filter function to remove elements with a certain property value (`a !== 1`) and then applying a mapping function to extract a specific property value (`x.a`). 2. **reduce() + concat()**: Reducing an array by applying a callback function that concatenates values when the condition is met, while also removing elements with a certain property value. 3. **reduce() + push()**: Reducing an array by applying a callback function that pushes values to an accumulator array when the condition is met, and also removing elements with a certain property value. 4. **forEach**: Applying an array method (`forEach`) to iterate over the array and push values to an accumulator array when the condition is met. **Options compared** The benchmark compares the performance of these four approaches: * `filter() then map()` (T1) * `reduce() + concat()` (T2) * `reduce() + push()` (T3) * `forEach` (T4) **Pros and Cons of each approach:** 1. **filter() then map()**: * Pros: Easy to understand, concise code. * Cons: May involve additional overhead for the two separate operations. 2. **reduce() + concat()**: * Pros: Reduces array size while accumulating values. * Cons: May be slower due to the concatenation operation, which can be expensive in large arrays. 3. **reduce() + push()**: * Pros: Similar to `filter()` then map() but with a single accumulator update. * Cons: Pushing elements to an array can be slow and may lead to performance issues. 4. **forEach**: * Pros: Simple, easy to understand, no extra overhead for accumulation or concatenation. * Cons: May involve more iterations due to the callback function. **Other considerations:** * The benchmark uses a large array with 16 elements, which can impact performance. * The `filter()` and `reduce()` operations are often used together in real-world scenarios, so this comparison is relevant for those use cases. * The use of `push()` or `concat()` may not be necessary depending on the specific requirements of your code. **Library usage:** None of the test cases explicitly uses any third-party libraries. However, it's worth noting that `reduce()` and `forEach` are built-in methods in JavaScript, while `filter()`, `map()`, and `push()` are also part of the standard library. **Special JS features or syntax:** There are no special JS features or syntaxes mentioned in this benchmark. The focus is on comparing different approaches to achieve a specific result. I hope this explanation helps you understand what's being tested in MeasureThat.net!
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