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flatMap vs reduce with spread vs reduce with push
(version: 0)
Comparing performance of:
reduce with spread vs flatMap vs reduce with push
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var arr = Array(10_000).fill(0)
Tests:
reduce with spread
arr.reduce((acc, x) => [...acc, x], [])
flatMap
arr.flatMap(x => [x])
reduce with push
arr.reduce((acc, x) => { acc.push(x); return acc; }, [])
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
reduce with spread
flatMap
reduce with push
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
8 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36 Edg/139.0.0.0
Browser/OS:
Chrome 139 on Windows
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Embed Benchmark Result
Test name
Executions per second
reduce with spread
12.0 Ops/sec
flatMap
2243.7 Ops/sec
reduce with push
14786.2 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
The provided JSON represents a JavaScript benchmark test case on the MeasureThat.net website. Let's break it down and analyze each part. **Benchmark Definition** The benchmark definition is a code snippet that defines a JavaScript function. There are three different functions being tested: 1. `arr.reduce((acc, x) => [...acc, x], [])`: This is the "reduce with spread" option. The `reduce` method applies a function to each element in an array and reduces it to a single value. In this case, it's using the spread operator (`...`) to create a new array. 2. `arr.flatMap(x => [x])`: This is the "flatMap" option. The `flatMap` method returns a new array with the results of applying a function on every element in an array. 3. `arr.reduce((acc, x) => {\r\n\tacc.push(x);\r\n \treturn acc;\r\n}, [])`: This is the "reduce with push" option. It's similar to the first option but uses the `push` method to add elements to an array instead of using the spread operator. **Options Compared** The three options being compared are: * Reduce with spread: Uses the spread operator (`...`) to create a new array. * Flatten (flatMap): Returns a new array with the results of applying a function on every element in an array. * Reduce with push: Uses the `push` method to add elements to an array. **Pros and Cons** Here's a brief summary of the pros and cons of each approach: 1. **Reduce with spread**: Pros: * Efficient use of memory, as it creates a new array instead of modifying the original. * Easy to implement and understand. Cons: * May have performance overhead due to the creation of a new array. 2. **flatMap**: Pros: * Can be more efficient than `reduce` in some cases, as it avoids creating an intermediate array. * Simple to implement. Cons: * May not work well with arrays that need to be modified (e.g., adding elements), as it returns a new array instead of modifying the original. 3. **Reduce with push**: Pros: * Suitable for arrays that need to be modified, as it uses the `push` method. Cons: * More complex implementation than the first two options, as it requires manually managing the array's length and elements. **Other Considerations** When choosing between these options, consider the following: * Memory usage: If memory efficiency is crucial, reduce with spread might be a better choice. However, if performance is more important, flatMap or reduce with push might be more suitable. * Array modification: If you need to modify an array in-place, reduce with push is likely the best option. **Library Usage** There is no explicit library usage in this benchmark. The `reduce` and `flatMap` methods are built-in JavaScript methods, and the `push` method is part of the Array prototype. **Special JS Features or Syntax** No special JavaScript features or syntax are being tested in this benchmark.
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flatMap vs Reduce with push - test
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