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array find test 1
(version: 0)
Benchmark.js
Compare the new ES6 spread operator with the traditional concat() method
Comparing performance of:
array find vs array some
Created:
2 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/4.17.5/lodash.core.js"></script>
Tests:
array find
var a = [...Array(10000)].map((_, index) => `element${index + 1}`); var b = a.find(item => item === 'element2000');
array some
var a = [...Array(10000)].map((_, index) => `element${index + 1}`); var b = a.find(item => item === 'element111800');
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
array find
array some
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
Browser/OS:
Chrome 120 on Windows
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=495407" width="100%" height="500px"></iframe>
array find
11K/s
array some
10K/s
View exact numbers
Test name
Executions per second
✓
array find
10,952 Ops/sec
array some
10,101 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net. The provided JSON represents two benchmark definitions, each comparing different approaches for searching an array in a specific way. **Benchmark 1: Array Find with Spread Operator** The first benchmark definition compares the new ES6 spread operator (`...`) with the traditional `concat()` method. The script preparation code is not provided, but the HTML preparation code includes a reference to Lodash, which is a utility library for functional programming. Here's what's being tested: * The test creates an array of 10,000 elements using the spread operator and maps each element to a string. * It then searches for a specific element ('element2000') in the array using the `find()` method with a callback function. * Another test case is run, which searches for another element ('element111800') in the same array. **Benchmark 2: Array Some** The second benchmark definition compares two different approaches for checking if at least one element in an array matches a certain condition. The script preparation code is not provided, but the HTML preparation code includes a reference to Lodash, which is used in the test case. Here's what's being tested: * The test creates an array of 10,000 elements using the spread operator and maps each element to a string. * It then checks if at least one element in the array matches the condition `item === 'element111800'` using the `some()` method with a callback function. Now, let's discuss the pros and cons of these different approaches: **Spread Operator (Array Find)** Pros: * More concise and expressive syntax compared to traditional methods. * Can be more efficient for large datasets since it avoids creating intermediate arrays. Cons: * May not be supported in older browsers or environments that don't support ES6 features. * Can be slower than traditional methods due to the overhead of the spread operator. **Traditional concat() Method (Array Find)** Pros: * Widely supported across browsers and environments, including older ones. * Typically faster than the spread operator since it avoids the overhead of creating intermediate arrays. Cons: * More verbose syntax compared to the spread operator. * Can be less efficient for large datasets due to the creation of intermediate arrays. **Some() Method** Pros: * More concise syntax compared to traditional methods like `some()` with a callback function. * Can be more efficient since it only iterates over the array once, even if no elements match the condition. Cons: * May not be supported in older browsers or environments that don't support modern JavaScript features. * Can be slower than traditional methods due to the overhead of the `some()` method. **Other Considerations** * The use of Lodash in both benchmark definitions suggests that the author is using a utility library to simplify the implementation and reduce code duplication. * The test cases are designed to compare different approaches for searching arrays, but it's worth noting that the spread operator is generally more efficient than traditional methods for large datasets. **Alternatives** If you're interested in exploring alternative approaches, here are some options: * For array search operations, consider using modern JavaScript features like `find()` or `some()`, which provide concise and expressive syntax. * For general-purpose utility functions, Lodash is a popular choice, but you can also explore other libraries like Moment.js for date-related tasks or Ramda for functional programming.
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