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map/join vs reduce objects
(version: 0)
Comparing performance of:
map/join vs reduce
Created:
3 years ago
by:
Guest
Go to the latest result
Tests:
map/join
const users = [{name: "Alex", age: 27 }, {name: 'Tom', age: 19}, {name: 'Andrew', age: 33}, {name: 'Steve', age: 13}]; const userNames = users.map(user => user.name).join(', ');
reduce
const users = [{name: "Alex", age: 27 }, {name: 'Tom', age: 19}, {name: 'Andrew', age: 33}, {name: 'Steve', age: 13}]; const userNames = users.reduce((acc, val) => acc + ', ' + val.name, '');
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
map/join
reduce
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
9 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36
Browser/OS:
Chrome 141 on Mac OS X 10.15.7
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=619105" width="100%" height="500px"></iframe>
reduce
30.4M/s
map/join
12.7M/s
View exact numbers
Test name
Executions per second
✓
reduce
30,426,218 Ops/sec
map/join
12,721,737 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and test cases. **Overview** The benchmark compares the performance of two approaches to concatenate arrays of strings in JavaScript: using `map` followed by `join`, and using `reduce`. **What is being tested?** The benchmark tests the execution speed of two different methods: 1. **Map + Join**: This approach uses the `map()` method to extract a property (in this case, `name`) from each object in an array, and then uses the `join()` method to concatenate the resulting strings into a single string. 2. **Reduce**: This approach uses the `reduce()` method to accumulate the concatenation of strings from an array of objects. **Options compared** The benchmark compares two options: 1. **Map + Join**: This is the first test case, where the `map()` method is used to extract `name` properties and then `join()` is used to concatenate them. 2. **Reduce**: This is the second test case, where the `reduce()` method is used to accumulate the concatenation of strings. **Pros and Cons** **Map + Join** Pros: * Easy to read and understand * Flexible, as you can map over any property or value Cons: * May be slower due to function call overhead (e.g., creating a new function for `map()` and another for `join()`) * Requires more memory allocation for intermediate results **Reduce** Pros: * Can be faster due to fewer function calls and less memory allocation * More efficient for accumulating values Cons: * Less readable, especially for those unfamiliar with accumulator functions * Limited flexibility in applying transformations to each element **Other considerations** The benchmark also considers the following factors: * **JavaScript version**: Although not explicitly mentioned, modern JavaScript engines like V8 (used by Chrome) likely optimize these operations for performance. * **Array size**: The benchmark doesn't specify a fixed array size. However, larger arrays might affect performance due to increased memory allocation and garbage collection. **Libraries and special features** There are no libraries or special features used in this benchmark beyond standard JavaScript methods (`map()`, `join()`, `reduce()`).
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