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Reduce vs map/join
(version: 0)
Comparing performance of:
for vs reduce vs map
Created:
8 years ago
by:
Guest
Go to the latest result
Script Preparation code:
var strings = []; for (var i=0; i<1000; i++) { strings[i] = ""+i+i; }
Tests:
for
var result = ""; for (var i=0; i<strings.length; i++) { result = result+' x-'+strings[i]; }
reduce
var result = strings.reduce(function(string, i) { return string+' x-'+i; }, "");
map
var result = strings.map(function(string, i) { return "x-"+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:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:140.0) Gecko/20100101 Firefox/140.0
Browser/OS:
Firefox 140 on Windows
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=611591" width="100%" height="500px"></iframe>
for
178K/s
reduce
123K/s
map
43K/s
View exact numbers
Test name
Executions per second
✓
for
178,214 Ops/sec
reduce
122,581 Ops/sec
map
43,262 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON benchmark and explain what's being tested. **Benchmark Definition** The benchmark is comparing three approaches to concatenate strings: 1. **For loop**: A traditional for loop that iterates over an array of strings, concatenating each string with `x-` prefix using string multiplication (`+` operator). 2. **Array.prototype.reduce()**: The reduce method reduces an array of strings into a single string by applying a callback function to each element in the array. 3. **Array.prototype.map() + Array.prototype.join()**: A two-step approach where map is used to transform an array of strings into an array of strings with `x-` prefix, and then join is used to concatenate these strings. **Options Compared** * For loop: + Pros: Easy to understand, flexible, and can be used in many contexts. + Cons: May have performance issues due to string concatenation in a loop. * Array.prototype.reduce(): + Pros: More concise, efficient, and often preferred for data transformations. + Cons: Can be less intuitive for those not familiar with the reduce method. * Array.prototype.map() + Array.prototype.join(): + Pros: Efficient, scalable, and suitable for large datasets. + Cons: Requires two methods (map and join), which can lead to more overhead. **Library** The benchmark uses `strings` as an array of strings. There is no specific library mentioned in the JSON data. **Special JS Features/Syntax** None are explicitly used in this benchmark, but keep in mind that some libraries or implementations might use advanced JavaScript features like async/await, Promises, or modern language features for performance optimizations. **Other Considerations** * The benchmark runs on Safari 11 on a Mac with Intel Mac OS X 10.13.4. * Each test case executes at different frequencies (43523.25, 3233.9296875, and 2668.519287109375 executions per second). * The results are likely to be influenced by the specific browser and platform used. **Alternative Approaches** Other approaches could include: * Using a string buffer or StringBuilder class to concatenate strings in a loop. * Leveraging `join()` with an empty string (`''`) as the separator for each element in the array. * Utilizing a library like Lodash, which provides a `reduceRight()` method for array reductions. These alternatives might offer varying trade-offs between readability, performance, and conciseness.
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