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Lodash _.first vs native shift()
(version: 0)
Benchmark.js
Comparing performance of:
_lodash vs native
Created:
5 years ago
by:
Guest
Go to the latest result
HTML Preparation code:
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.core.js"></script>
Tests:
_lodash
_.first([1, 2, 3, 4, 5]); _.first([1, 2, 3, 4, 5], 2);
native
[1, 2, 3, 4, 5].shift(); [1, 2, 3, 4, 5].slice(0, 2);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
_lodash
native
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36
Browser/OS:
Chrome 139 on Mac OS X 10.15.7
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=616773" width="100%" height="500px"></iframe>
_lodash
248.8M/s
native
43.7M/s
View exact numbers
Test name
Executions per second
✓
_lodash
248,830,656 Ops/sec
native
43,672,420 Ops/sec
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 the pros and cons of each approach. **Benchmark Overview** The benchmark compares the performance of two approaches: 1. Using Lodash (`_lodash`) to call the `first` method on an array, with and without a second argument. 2. Using native JavaScript methods (`native`) to shift the first element from the array and then create a new slice of the original array. **Lodash `_first` Method** The `_.first` method is part of the Lodash library, which provides a collection of functional programming helpers. The purpose of this method is to return the first element of an array. In the benchmark, the `_.first` method is called on two different arrays: * Without any arguments: `_.first([1, 2, 3, 4, 5])` * With a second argument (start index): `_.first([1, 2, 3, 4, 5], 2)` **Native JavaScript Methods** The native JavaScript methods being tested are: * `shift()`: removes and returns the first element of an array. * `slice()`: creates a shallow copy of a portion of an array. In the benchmark, these methods are called on the same array: * `shift()` is used to remove the first element from the array: `[1, 2, 3, 4, 5].shift();` * Then, `slice()` is used to create a new slice of the original array, starting from index 0 and ending at index 2: `[1, 2, 3, 4, 5].slice(0, 2);` **Pros and Cons of Each Approach** Here are some pros and cons of each approach: **Lodash `_first` Method** Pros: * Less code to write (using a library function) * Potential for better performance since it's optimized for use cases like this Cons: * Requires the Lodash library to be included, which may add overhead * May not provide fine-grained control over the indexing process **Native JavaScript Methods (`shift` and `slice`)** Pros: * No external dependencies or overhead * Provides fine-grained control over the indexing process (indexing is done in a single operation) Cons: * Requires more code to write (separate operations for shifting and slicing) * May have performance overhead due to the creation of an intermediate array with `slice()` **Other Considerations** When choosing between these approaches, consider the following factors: * Performance: If speed is critical, using native JavaScript methods might be a better choice. However, if you're already including Lodash in your project for other reasons, the overhead may not be significant. * Code readability and maintainability: Using native methods can make code more readable if you're clear about what's happening in each step. **Other Alternatives** If you don't want to use Lodash or native JavaScript methods, there are other alternatives: * Use `Array.prototype[Symbol.iterator]()` to create an iterator that returns the first element of the array. * Implement your own indexing function using a loop or recursion. * Explore other libraries or frameworks that provide optimized array manipulation functions.
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