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Reduce vs map/join 100
(version: 0)
Comparing performance of:
for vs reduce vs map
Created:
3 years ago
by:
Guest
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Script Preparation code:
var strings = {}; for (var i=0; i<100; i++) { strings[i] = ""+i+i; }
Tests:
for
var result = ""; var keys = Object.keys(strings); for (var i in keys) { result += ' '+i+strings[i]; }
reduce
var result = Object.keys(strings).reduce(function(string, i) { return string+' '+i+strings[i]; }, "");
map
var result = Object.keys(strings).map(function(i) { return i+strings[i]; }).join(' ');
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
for
reduce
map
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down what's being tested in the provided JSON benchmark. **Script Preparation Code** The script preparation code creates an object `strings` with 100 properties, where each property is a string representation of a number. The purpose of this step is to create a data structure that will be used by the test cases. **Test Cases** There are three test cases: 1. **"for"`**: This test case uses a traditional `for` loop to concatenate all the strings together. 2. **"reduce"`**: This test case uses the `Array.prototype.reduce()` method to concatenate all the strings together. The callback function takes two arguments: `string` (the accumulated result so far) and `i` (the current iteration). It returns a new string by concatenating `string` with `i` and `strings[i]`. 3. **"map"`**: This test case uses the `Array.prototype.map()` method to concatenate all the strings together. The callback function takes one argument: `i` (the current iteration) and returns a new string by concatenating `i` and `strings[i]`. **Library/Functions Used** None of the test cases use any external libraries or built-in JavaScript functions beyond what's specified in the benchmark definition. **Special JS Features/Syntax** There are no special JavaScript features or syntax used in this benchmark. The focus is on comparing the performance of different string concatenation approaches. **Pros and Cons of Each Approach** 1. **"for"`**: * Pros: Simple, easy to understand, and doesn't require any external libraries. * Cons: Can be slower due to the overhead of incrementing the loop counter and checking the `in` operator for each iteration. 2. **"reduce"`**: * Pros: More concise and expressive than a traditional `for` loop, and can take advantage of parallel processing if implemented correctly. * Cons: Requires understanding of the `reduce()` method and its callback function, which may be unfamiliar to some developers. 3. **"map"`**: * Pros: Similar to `reduce()`, but provides more flexibility in terms of transforming the input data before concatenation. * Cons: Can still be slower than a traditional `for` loop due to the overhead of creating an array and iterating over it. **Other Alternatives** Some alternative approaches that could be used for string concatenation include: 1. **Using template literals**: Introduced in ECMAScript 2015, template literals provide a more concise way to concatenate strings using placeholders (`${expression}`). 2. **Using the `String.prototype.concat()` method**: This method can be used to concatenate multiple strings together, but it may not be as efficient as a single string concatenation operation. However, these alternatives are not typically considered in performance-critical codepaths like this benchmark, where simplicity and readability are often more important than raw speed.
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