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equals vs includes (one value)
(version: 0)
check if use of equal is better than includes when using one value
Comparing performance of:
Array.includes vs Or chain
Created:
2 years ago
by:
Guest
Go to the latest result
Script Preparation code:
var stringToMatch = 'hello';
Tests:
Array.includes
['hello'].includes(stringToMatch)
Or chain
stringToMatch === 'hello'
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Array.includes
Or chain
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Mobile Safari/537.36
Browser/OS:
Chrome Mobile 124 on Android
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=532707" width="100%" height="500px"></iframe>
Or chain
4.9M/s
Array.includes
4.1M/s
View exact numbers
Test name
Executions per second
✓
Or chain
4,871,734 Ops/sec
Array.includes
4,081,901 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, the pros and cons of different approaches, and other considerations. **Benchmark Definition** The benchmark is designed to compare two approaches: using `includes()` on an array containing a single string value (`"hello"`), and using the triple equals operator (`===`) with a chained comparison (`stringToMatch === 'hello'`). **Options Compared** 1. **Array.includes**: This method checks if a specified element exists in the array, returning `true` if it does, and `false` otherwise. 2. **Or chain (Triple equals)**: This approach uses the triple equals operator to compare the value of `stringToMatch` with `'hello'`. If they are equal, the expression evaluates to `true`, and if not, it short-circuits and returns `false`. **Pros and Cons** 1. **Array.includes**: * Pros: + Efficient, as it only checks if the value exists in the array. + May be faster for large arrays or complex comparisons. * Cons: + Requires an additional method call (`includes()`), which may incur overhead. + Returns `true` if the value is found in any position within the array, not just at index 0 (which might be the intended behavior). 2. **Or chain (Triple equals)**: * Pros: + Simple and concise syntax. + Only requires a single comparison operation. * Cons: + May be slower due to the overhead of the triple equals operator. + Returns `true` only if the values are exactly equal, which might not cover all possible use cases. **Library and Special JS Features** There is no explicit library mentioned in the benchmark definition. However, it's worth noting that both approaches rely on standard JavaScript features: * `includes()`: Introduced in ECMAScript 2015 (ES6). * Triple equals (`===`): A standard operator in JavaScript since its inception. **Other Considerations** When deciding between these two approaches, consider the following factors: * Performance: If you need to check if a value exists in an array frequently, `Array.includes()` might be faster. * Readability and maintainability: The triple equals approach is often considered more readable, as it conveys the intent of the comparison directly. However, some developers may find it less intuitive or harder to understand for complex comparisons. **Alternatives** If you're not satisfied with these two approaches, consider the following alternatives: 1. **String.indexOf()**: This method returns the index of the first occurrence of a specified value in a string. If the value is not found, it returns -1. 2. **Regular expressions (RegExp)**: You can use `RegExp.test()` to check if a string matches a regular expression pattern. In summary, the provided benchmark compares two approaches for checking if a single value exists within an array or comparing two values using the triple equals operator. While both methods have their pros and cons, `Array.includes()` is generally more efficient but may incur additional overhead due to method calls. The triple equals approach is simpler and more concise but might be slower and less flexible.
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