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lodash unionWith vs Set for merging without duplicates test2
(version: 0)
Comparing performance of:
Set&map vs unionWith2
Created:
3 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>
Tests:
Set&map
var first = [ {'ID': 2, 'FirstName': 'Jim'}, {'ID': 4, 'FirstName': 'Tom'}, {'ID': 5, 'FirstName': 'George'} ]; var second = [ {'ID': 2, 'FirstName': 'Jim'}, {'ID': 7, 'FirstName': 'Tom'}, {'ID': 8, 'FirstName': 'George'} ]; const ids = new Set( first.map((identifiedFile) => identifiedFile.id) ); second.forEach((identifiedFile) => { if (!ids.has(identifiedFile.id)) first.push(identifiedFile); }); return first
unionWith2
var first = [ {'ID': 2, 'FirstName': 'Jim'}, {'ID': 4, 'FirstName': 'Tom'}, {'ID': 5, 'FirstName': 'George'} ]; var second = [ {'ID': 2, 'FirstName': 'Jim'}, {'ID': 7, 'FirstName': 'Tom'}, {'ID': 8, 'FirstName': 'George'} ]; return _.unionWith(first, second, _.isEqual);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Set&map
unionWith2
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and explanation. **Benchmark Overview** The test is designed to compare two approaches for merging arrays without duplicates: 1. Using JavaScript's built-in `Set` data structure with the `map()` method. 2. Using Lodash's `unionWith()` function, which takes a callback function to check for equality. **Options Compared** We have two options being compared: **Option 1: Set&map (using JavaScript's Set)** * This approach uses the `Set` data structure to create a set of unique IDs from the first array (`first.map((identifiedFile) => identifiedFile.id)`). * It then iterates over the second array (`second`) and checks if each ID is in the set using `!ids.has(identifiedFile.id)`. If not, it adds the element to the original array (`first.push(identifiedFile)`). **Pros:** * Efficient use of memory for storing unique IDs. * Fast lookup times using the `Set` data structure. **Cons:** * Requires additional code to create and maintain the set. * May have performance overhead due to the iteration over the second array. **Option 2: unionWith (using Lodash)** * This approach uses Lodash's `unionWith()` function, which takes a callback function to check for equality (`_.isEqual`). * The `unionWith()` function iterates over both arrays and checks for each element if it matches the callback function. If not, it adds the element to the resulting array. **Pros:** * Simplifies code and reduces boilerplate. * Lodash's implementation might be optimized for performance. **Cons:** * May have performance overhead due to the iteration over both arrays. * Requires additional dependencies (Lodash). **Library Used: Lodash** Lodash is a popular JavaScript utility library that provides various functions for tasks such as array manipulation, string manipulation, and more. In this case, `unionWith()` is used to perform an array union without duplicates. **Special JS Features/Syntax: None** There are no special JavaScript features or syntax being tested in this benchmark. **Alternative Approaches** Other alternatives for merging arrays without duplicates could include: * Using the `filter()` method with a callback function. * Using a library like Underscore.js's `union()` function. * Implementing a custom solution using a data structure such as a trie or a hash table. However, these alternatives might not be tested on MeasureThat.net, and their performance would depend on various factors such as the specific implementation and the JavaScript engine used.
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