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Lodash Map&Uniq vs Javascript dictionary
(version: 0)
Comparing performance of:
Lodash Uniq vs Javascript Set
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.5/lodash.min.js"></script>
Script Preparation code:
var array = []; for (var i=0; i<=10000; i++) { array.push({ name: 'Mr.' + i, age: i % 100 }) }
Tests:
Lodash Uniq
_.uniq(_.map(array, a => a.age))
Javascript Set
var unique = []; var distinct = []; for( let i = 0; i < array.length; i++ ){ if( !unique[array[i].age]){ distinct.push(array[i].age); unique[array[i].age] = 1; } }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash Uniq
Javascript Set
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 and explain what's being tested, compared, and other considerations. **Benchmark Overview** The benchmark compares two approaches to remove duplicate ages from an array of objects: 1. **Lodash `uniq`**: Uses the Lodash library to create a new array with unique elements based on the `age` property. 2. **JavaScript Dictionary (Object)**: Creates an object and pushes each age as a key, incrementing the value if it already exists. **Options Compared** The two approaches are compared in terms of performance and speed. * Lodash `uniq`: This approach is more concise and leverages the optimized implementation of Lodash. * JavaScript Dictionary: This approach requires manual iteration and checks for duplicate ages, which can be slower. **Pros and Cons** **Lodash `uniq`**: Pros: * Concise and readable code * Optimized implementation by Lodash team * Handles large datasets efficiently Cons: * External dependency on Lodash library (needs to be included in the benchmark) * May not perform well for very small datasets due to overhead of library functions **JavaScript Dictionary**: Pros: * No external dependencies or libraries required * Can be easily adapted to other programming languages * Handles large datasets efficiently Cons: * More verbose and less readable code * Requires manual iteration and checks, which can lead to slower performance for complex scenarios **Library: Lodash** Lodash is a popular JavaScript utility library that provides various functions for array manipulation, object creation, and more. The `uniq` function in particular is optimized for performance and returns a new array with unique elements based on the provided function (in this case, the `age` property). **Special JS Features/ Syntax: None** There are no special JavaScript features or syntax used in these benchmark cases. **Other Considerations** * The benchmark uses a simple array of objects with 10,000 elements for each test case. This may not represent real-world scenarios where datasets can be much larger. * The benchmark measures the execution time per second (ExecutionsPerSecond) for each test case. However, it would be more informative to also measure other metrics such as memory usage or caching effects. **Alternatives** Other alternatives to compare in a similar benchmark: * **ES6 Set**: Similar to JavaScript Dictionary but uses built-in `Set` data structure. * **Immutable Data Structures**: Using immutable data structures like ` Map` or `Queue` can provide performance benefits for certain use cases. * **Native JavaScript Functions**: Implementing the same logic using native JavaScript functions (e.g., `filter()`, `reduce()`) and comparing their performance. Keep in mind that each of these alternatives has its own strengths, weaknesses, and trade-offs. The choice of approach depends on the specific requirements and constraints of the project.
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