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large string size comparison
(version: 0)
Worst case large string comparison.
Comparing performance of:
string comparison vs string length comparison
Created:
one year ago
by:
Guest
Go to the latest result
Script Preparation code:
let s1MB = "0123456789".repeat(1000*100); var strings1MB = Array.from(Array(20)).map(o=>s1MB + String.fromCharCode(32+~~(Math.random()*96)))
Tests:
string comparison
const s1 = strings1MB[~~(strings1MB.length*Math.random())]; const s2 = strings1MB[~~(strings1MB.length*Math.random())]+"a"; const b = s1 === s2;
string length comparison
const s1 = strings1MB[~~(strings1MB.length*Math.random())]; const s2 = strings1MB[~~(strings1MB.length*Math.random())]+"a"; const b = s1.length === s2.length;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
string comparison
string length comparison
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:129.0) Gecko/20100101 Firefox/129.0
Browser/OS:
Firefox 129 on Windows
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=537931" width="100%" height="500px"></iframe>
string comparison
326.5M/s
string length comparison
322.2M/s
View exact numbers
Test name
Executions per second
✓
string comparison
326,450,336 Ops/sec
string length comparison
322,187,232 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided JSON and explain what's being tested, compared, and their pros and cons. **Benchmark Definition** The benchmark definition is a set of rules that defines the test to be performed. In this case, it has three parts: 1. **Script Preparation Code**: This code sets up the data used in the benchmark. It creates an array `strings1MB` containing 20 large strings with random characters appended (space to z). 2. **Html Preparation Code**: This field is empty, which means no HTML setup is required. 3. **Description**: A brief description of the benchmark, which explains that it tests worst-case large string comparison. **Individual Test Cases** There are two test cases: 1. **String Comparison**: The script creates two random strings from `strings1MB`, checks if they are equal (`s1 === s2`), and records the result. 2. **String Length Comparison**: Similar to the previous test case, but instead of checking for equality, it compares the lengths of the two strings (`s1.length === s2.length`). **What is being tested?** The benchmark tests two different approaches: * String comparison using the `===` operator * String length comparison These tests aim to measure how JavaScript handles large string comparisons and length checks. **Pros and Cons of Different Approaches** 1. **String Comparison (`===`)**: * Pros: Simple, efficient, and widely supported by browsers. * Cons: May be slower for very large strings due to the overhead of string comparison algorithms. 2. **String Length Comparison**: * Pros: More accurate for checking if two strings have the same length, which can be important in certain applications (e.g., data validation). * Cons: May not be as efficient or performant as string comparison using `===`. **Library and Special JS Features** There is no explicit library mentioned in the benchmark definition. However, the use of `Array.from` and `String.fromCharCode` suggests that JavaScript 2015 features are being used. No special JavaScript features (e.g., async/await, Promises) are explicitly mentioned, but the benchmark's focus on measuring performance might imply a need for optimization techniques, which could involve using such features to improve code readability and maintainability. **Other Alternatives** If you wanted to create a similar benchmark with different test cases or variations, you might consider: * Using different data types (e.g., numbers, booleans) instead of strings. * Adding more complex data structures (e.g., arrays, objects) to the script preparation code. * Introducing noise or stressors into the benchmark (e.g., concurrent executions, external network requests) to simulate real-world scenarios. * Using different browsers or versions to test compatibility and optimization.
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