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map vs forEach Chris
(version: 0)
performance test map vs forEach
Comparing performance of:
map vs forEach
Created:
5 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var largeArray = Array(1000000).fill('x');
Tests:
map
largeArray.map( (value) => { return value+'y';});
forEach
largeArray.forEach((value) => { return value +'y';});
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
map
forEach
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the explanation into sections to make it easier to understand. **Benchmark Definition and Preparation Code** The benchmark definition json represents a simple performance test that compares the execution time of two JavaScript methods: `map()` and `forEach()`. The preparation code is provided to create a large array with 1,000,000 elements, all initialized with the string 'x'. This array will be used as input for both tests. The html preparation code is empty, which means that this benchmark doesn't test any web-specific functionality. It's focused solely on measuring the performance difference between `map()` and `forEach()` in a JavaScript context. **Options Compared** The two options being compared are: 1. **`map()`**: This method creates a new array by iterating over each element of the original array, applying a transformation function to each element, and returning the resulting array. 2. **`forEach()`**: This method executes a callback function once for each element in an array, without creating a new array or returning any value. **Pros and Cons** * `map()`: Pros: * Creates a new array with transformed values. * Does not modify the original array. * Can be more efficient when dealing with large datasets because it avoids mutating the original array. * `forEach()`: Pros: * Does not create a new array, which can be beneficial for large datasets or memory-constrained environments. * Allows for side effects (e.g., updating the DOM) without affecting the original array. Cons of each: * `map()`: Can result in a larger memory footprint due to the creation of a new array. May not be suitable for very large datasets. * `forEach()`: Does not create a new array, but it also does not return any value or modify the original array. This can make it less useful for certain use cases. **Library and Special JS Features** Neither of the options uses any libraries or special JavaScript features beyond standard JavaScript syntax. The focus is solely on comparing the performance characteristics of `map()` and `forEach()`. **Other Alternatives** Some other methods that could be used to transform arrays include: * `reduce()`: Used to reduce an array into a single value. * `filter()`: Used to create a new array with only elements from the original array that pass a test. * `slice()`: Used to create a shallow copy of a portion of an array. However, these alternatives are not being tested in this benchmark. The focus is on comparing `map()` and `forEach()`, which are the most commonly used methods for array transformations. **Benchmark Result Interpretation** The provided benchmark result shows two test runs: one using `forEach()` and another using `map()`. Both tests were executed 48,274 times per second (for `forEach()`) and 7,458 times per second (for `map()`). This suggests that the results of these benchmarks may not be conclusive, as they might have been affected by various factors such as caching or system overhead.
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