Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
filter-innerJoin vs filter-some
(version: 2)
Comparing performance of:
filter-innerJoin vs filter-some
Created:
5 years ago
by:
Registered User
Jump to the latest result
HTML Preparation code:
<script src="//cdn.jsdelivr.net/npm/ramda@latest/dist/ramda.min.js"></script>
Script Preparation code:
var teamMembers = [{ id: 1 }, { id: 2 }, { id: 3 }, { id: 10 }] var enrolledPlayers = [{ id: 1, leagueId: 1, teamId: undefined, }, { id: 2, leagueId: 1, teamId: 1, }, { id: 3, leagueId: 1, teamId: 2, }, { id: 4, leagueId: 1, teamId: undefined, }, { id: 5, leagueId: 1, teamId: 1, }, { id: 6, leagueId: 1, teamId: 2, }, { id: 7, leagueId: 2, teamId: undefined, }, { id: 8, leagueId: 2, teamId: 1, }, { id: 9, leagueId: 2, teamId: 2, }, { id: 11, leagueId: 1, teamId: undefined, }, { id: 12, leagueId: 1, teamId: 1, }, { id: 13, leagueId: 1, teamId: 2, }, { id: 14, leagueId: 1, teamId: undefined, }, { id: 15, leagueId: 1, teamId: 1, }, { id: 16, leagueId: 1, teamId: 2, }, { id: 17, leagueId: 2, teamId: undefined, }, { id: 18, leagueId: 2, teamId: 1, }, { id: 19, leagueId: 2, teamId: 2, }]
Tests:
filter-innerJoin
R.innerJoin( (teamMember, enrolledPlayer) => teamMember.id === enrolledPlayer.id, teamMembers, enrolledPlayers.filter(({ leagueId, teamId }) => leagueId === 1 && teamId && teamId !== 1) )
filter-some
teamMembers.filter(({ id }) => enrolledPlayers.some(({ leagueId, userId, teamId }) => id === userId && leagueId === 1 && teamId && teamId !== 1 ) )
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
filter-innerJoin
filter-some
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided JSON and explain what's being tested, compared options, pros/cons, and other considerations. **Benchmark Overview** The benchmark measures the performance of two approaches for filtering teams based on league ID and team ID in an array of team members and enrolled players. The benchmark compares the performance of using `ramda`'s `innerJoin` function versus a plain JavaScript implementation using `filter()` with `some()`. **Options Compared** 1. **Filter-INNER JOIN (`R.innerJoin`)**: This approach uses the `innerJoin` function from the `ramda` library to filter the teams based on league ID and team ID. 2. **Plain Filter-SOME**: This approach uses a plain JavaScript implementation with `filter()` and `some()` methods to achieve the same filtering. **Pros/Cons** 1. **Filter-INNER JOIN (R.innerJoin)**: * Pros: Can be more efficient for large datasets, as it uses an optimized algorithm that takes advantage of the data structure. * Cons: Requires a library (`ramda`) and may introduce additional overhead due to function calls and object lookups. 2. **Plain Filter-SOME**: * Pros: Lightweight, no additional libraries required, and easy to understand for developers familiar with JavaScript `filter()` and `some()`. * Cons: May be less efficient for large datasets due to the need to iterate over each element in the array. **Other Considerations** * **Data Distribution**: The benchmark uses a fixed dataset with 20 team members and enrolled players. The performance difference between the two approaches may vary depending on the size and distribution of the data. * **Hardware and Browser Variability**: The benchmark results are specific to Chrome 114 on Mac OS X 10.15.7, which may not generalize well to other browsers or hardware configurations. **Library: ramda** The `ramda` library is a functional programming library for JavaScript that provides a set of reusable functions for common data processing tasks, including filtering, mapping, and reducing. In this benchmark, the `innerJoin` function is used to filter the teams based on league ID and team ID. **Special JS Feature/Syntax** None mentioned in the provided JSON.
Related benchmarks:
lodash_array_objects
lodash_array_objects_2
kjnzjv
native find vs lodash _.find with null values and object
filter + map vs flatMap
Comments
Confirm delete:
Do you really want to delete benchmark?