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comparing flatMap vs filter and map in little arr length
(version: 0)
Comparing performance of: flatMap() vs filter().map()
Comparing performance of:
filter & map vs flatMap
Created:
2 years ago
by:
Guest
Go to the latest result
Script Preparation code:
var arr = []; let i = 0; while (i <= 100) arr[i] = i++;
Tests:
filter & map
arr.filter(x => x % 3).map(x => x/100)
flatMap
arr.flatMap(x => x % 3 ? x/100 : [])
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
filter & map
flatMap
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36 Edg/147.0.0.0
Browser/OS:
Chrome 147 on Windows
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=628791" width="100%" height="500px"></iframe>
filter & map
3.7M/s
flatMap
958K/s
View exact numbers
Test name
Executions per second
✓
filter & map
3,665,996 Ops/sec
flatMap
957,690 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Explanation** The provided JSON represents a benchmark test on MeasureThat.net, which compares the performance of two JavaScript methods: `filter()` and `map()`, versus their combined alternative in the `flatMap()` method. **Methods Compared** 1. **Filter() + Map()**: This approach involves using `filter()` to filter elements from an array, followed by `map()` to transform each remaining element. 2. **FlatMap()**: The alternative approach uses `flatMap()` to achieve a similar transformation as the combined `filter()` and `map()` approach in a single step. **Pros and Cons of Each Approach** 1. **Filter() + Map()**: * Pros: Easier to understand for developers familiar with `filter()` and `map()`. * Cons: Requires two separate method calls, which can lead to higher overhead due to function call overhead. 2. **FlatMap()**: * Pros: Can be more efficient since it combines the filtering and transformation steps into a single operation. * Cons: Less intuitive for developers unfamiliar with `flatMap()`. **Library** None of the benchmark tests explicitly use any external libraries. **Special JavaScript Feature/ Syntax** The benchmark test does not use any special JavaScript features or syntax, such as async/await, ES6 classes, or other modern language features. **Other Alternatives** If you need to compare performance of array operations in JavaScript, other alternatives include: 1. Using the `forEach()` method instead of `filter()`, `map()`, and `flatMap()`. 2. Using a library like Lodash or Ramda for functional programming operations. 3. Implementing custom iteration logic using loops. Keep in mind that these alternatives may have different performance characteristics depending on the specific use case. **Benchmark Preparation Code Explanation** The provided preparation code generates an array of 100 elements and assigns each element a value from 0 to 99: ```javascript var arr = []; let i = 0; while (i <= 100) arr[i] = i++; ``` This code creates an array with values from 0 to 99, which is used as input for the benchmark tests. **Individual Test Cases Explanation** Each test case compares the performance of a specific pair of methods: 1. **Filter() + Map()**: This test case uses `filter()` to filter elements where `x % 3` returns true, followed by `map()` to transform each remaining element. 2. **FlatMap()**: This test case uses `flatMap()` to achieve a similar transformation as the combined `filter()` and `map()` approach in a single step. The benchmark result shows the raw UA string, browser version, device platform, operating system, executions per second for each test case.
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