Benchmark: regexp vs func - MeasureThat.net

Script Preparation code:

var min = 0;
var MAX_CID_VALUE = 268435455;
var cid = 200000;
var result = null;

Tests:

regexp
result = /^[0-9]{1,9}$/.test(cid) && Number(cid) < MAX_CID_VALUE
func
const val = Number.parseInt(cid); result = isNaN(val) || val > MAX_CID_VALUE || val < 0;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
regexp
func

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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Let's dive into the world of JavaScript benchmarks.

**Overview**

The provided benchmark definition and test cases compare two approaches to validate if a number (represented by `cid`) meets certain conditions: being within a range of 1-9 digits, being a positive integer less than `MAX_CID_VALUE`. We'll break down each approach, their pros and cons, and other considerations.

**Approach 1: Using Regular Expressions (`regexp`)**

The first test case uses the `/^[\d]{1,9}$//.test(cid)` expression to validate if `cid` matches the pattern of a number with exactly 1-9 digits. The regular expression works as follows:

* `^`: Start of the string
* `[\d]`: Match any digit (0-9)
* `{1,9}`: Exactly 1 to 9 occurrences of the preceding element (digits)
* `$`: End of the string

Pros:

* Lightweight and efficient, as regular expressions are optimized for performance.
* Easy to implement and read.

Cons:

* Can be slower than other approaches due to the overhead of creating and compiling regular expressions.
* May not perform well for very large inputs or complex patterns.

**Approach 2: Using `Number.parseInt` and Conditional Statements (`func`)**

The second test case uses `Number.parseInt(cid)` to convert `cid` to an integer, and then checks if it's a valid number using three conditional statements:

* `isNaN(val)`: Check if the result is NaN (Not a Number)
* `val > MAX_CID_VALUE || val < 0`: Check if the value exceeds or drops below the maximum allowed value

Pros:

* Fast and efficient, as it uses native JavaScript functions.
* Easy to read and understand.

Cons:

* Requires two function calls, which can be slower than using regular expressions.
* More complex code can lead to errors if not implemented correctly.

**Other Considerations**

* **Error handling**: Both approaches assume that `cid` is a valid number. If it's not, the functions may throw an error or return incorrect results.
* **Performance**: Regular expressions are generally faster for simple patterns like this one. However, as input sizes increase, other approaches might become more efficient.
* **Security**: The regular expression approach is more secure, as it prevents malicious input from being executed.

**Benchmarking Libraries**

None of the provided test cases explicitly use a dedicated benchmarking library. However, `regexp` uses the `/.../` notation, which is commonly used in JavaScript libraries like Lodash or Ramda for string manipulation and pattern matching.

**Special JS Features/Syntax (none)**

There are no special features or syntax used in this benchmark that would require additional explanation.

**Alternatives**

Some alternatives to regular expressions include:

* **String.prototype.match()**: A more general-purpose method for searching strings with patterns.
* **RegExp.prototype.test()`: An alternative way to test a string against a pattern.
* **JSON.parse() and Number.parseInt()**: While not strictly related, these functions can be used in combination with conditional statements to validate numbers.

In conclusion, the choice between using regular expressions or `Number.parseInt` and conditional statements depends on performance requirements, code readability, and security considerations. Regular expressions are generally a good choice for simple patterns like this one, while `Number.parseInt` and conditional statements might be preferred for more complex use cases.

Related benchmarks:

regexp vs func (version: 0)

Comparing performance of: regexp vs func

Created: 3 years ago by: Guest

Jump to the latest result

regexp

func

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):