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reduce vs map fieldMap
(version: 0)
Comparing performance of:
reduce vs map
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src="//raw.githubusercontent.com/lodash/lodash/4.17.15-npm/lodash.min.js"></script>
Script Preparation code:
var fieldsMap = { 'array[0].sarray[0]': 'array[1].sarray[1]', 'array[0].sarray[1].ssarray[0].sssarray[0]': 'array[1].sarray[3].ssarray[0].sssarray[1]', 'array[0].sarray[1].ssarray[1].sssarray[0]': 'array[1].sarray[3].ssarray[1].sssarray[1]', 'array[0].sarray[1].ssarray[2].sssarray[0]': 'array[1].sarray[3].ssarray[2].sssarray[1]', 'array[0].sarray[1].ssarray[3].sssarray[0]': 'array[1].sarray[3].ssarray[3].sssarray[1]', 'array[0].sarray[1].ssarray[4].sssarray[0]': 'array[1].sarray[3].ssarray[4].sssarray[1]', 'array[0].sarray[1].ssarray[5].sssarray[0]': 'array[1].sarray[3].ssarray[5].sssarray[1]', 'array[0].sarray[1].ssarray[6].sssarray[0]': 'array[1].sarray[3].ssarray[6].sssarray[1]', 'array[0].sarray[1].ssarray[7].sssarray[0]': 'array[1].sarray[3].ssarray[7].sssarray[1]', 'array[0].sarray[1].ssarray[8].sssarray[0]': 'array[1].sarray[3].ssarray[8].sssarray[1]', 'array[0].sarray[1].ssarray[9].sssarray[0]': 'array[1].sarray[3].ssarray[9].sssarray[1]', 'array[0].sarray[1].ssarray[10].sssarray[0]': 'array[1].sarray[3].ssarray[10].sssarray[1]', 'array[0].sarray[1].ssarray[11].sssarray[0]': 'array[1].sarray[3].ssarray[12].sssarray[1]', 'array[0].sarray[1].ssarray[12].sssarray[0]': 'array[1].sarray[3].ssarray[13].sssarray[1]', 'array[0].sarray[1].ssarray[13].sssarray[0]': 'array[1].sarray[3].ssarray[14].sssarray[1]', 'array[0].sarray[1].ssarray[14].sssarray[0]': 'array[1].sarray[3].ssarray[15].sssarray[1]', 'array[0].sarray[1].ssarray[15].sssarray[0]': 'array[1].sarray[3].ssarray[16].sssarray[1]' }
Tests:
reduce
let prepareMap = _.reduce( fieldsMap, (result, value, key) => { result.push({ from: key, to: value }); return result; }, [] );
map
let prepareMap = _.map(fieldsMap, (to, from) => ({ from, to }));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
reduce
map
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The benchmark you provided tests two approaches: using the `_.map()` method from the Lodash library versus using the built-in `Array.prototype.map()` method. **Test Case 1: `reduce` (Lodash)** * The test case uses the Lodash `_.reduce()` function to create a map data structure from the `fieldsMap` object. * The `prepareMap` variable is assigned an array of objects, where each object has two properties: `from` and `to`, which are derived from the original key-value pairs in the `fieldsMap` object. * The test case measures the execution time of this code. **Test Case 2: `map` (Built-in)** * The test case uses the built-in `Array.prototype.map()` method to create a map data structure from the `fieldsMap` object. * Similar to Test Case 1, but without using Lodash. * The test case measures the execution time of this code. **Options Compared** The two approaches compared are: 1. **Lodash `_`.map()**: uses the `_.map()` function from Lodash to create a map data structure from the `fieldsMap` object. 2. **Built-in `Array.prototype.map()`**: uses the built-in `Array.prototype.map()` method to create a map data structure from the `fieldsMap` object. **Pros and Cons** * **Lodash `_`.map()**: + Pros: provides a convenient and efficient way to create a map data structure, with benefits of lazy evaluation and caching. + Cons: requires an additional library (Lodash) to be included, which may add overhead. * **Built-in `Array.prototype.map()`**: + Pros: does not require any external libraries, is implemented in native code, and can be optimized for performance by the browser's JavaScript engine. + Cons: may have slower performance due to the need to iterate over the entire array, and may not provide the same level of lazy evaluation or caching as Lodash. **Other Considerations** * **Performance**: The built-in `Array.prototype.map()` method is likely to be faster than the Lodash `_`.map()` function, since it is implemented in native code and optimized for performance. * **Code Readability**: Using the Lodash `_`.map()` function may make the code more readable, as it clearly expresses the intention of creating a map data structure from an object. **Alternative Approaches** Other approaches to create a map data structure could include: 1. Using `Object.keys()` and `reduce()`: iterate over the keys of the `fieldsMap` object using `Object.keys()`, and then use `reduce()` to create the map data structure. 2. Using `Array.prototype.forEach()` and an array: iterate over the key-value pairs in the `fieldsMap` object using `Array.prototype.forEach()`, and store the resulting data in an array that can be used to create a map data structure. 3. Using a library like Immutable.js or Ramda: use a functional programming library like Immutable.js or Ramda, which provides optimized implementations of common data structures and operations. However, these alternative approaches may not provide the same level of performance or readability as using Lodash `_`.map()` or built-in `Array.prototype.map()`, depending on the specific requirements of the benchmark.
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