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UUID meth2odss1
(version: 0)
Comparing performance of:
uuidv4 vs generateUUID
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
function generateUUID() { // Public Domain/MIT var d = new Date().getTime(); //Timestamp var d2 = (performance && performance.now && (performance.now() * 1000)) || 0; //Time in microseconds since page-load or 0 if unsupported return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) { var r = Math.random() * 16; //random number between 0 and 16 if (d > 0) { //Use timestamp until depleted r = (d + r) % 16 | 0; d = Math.floor(d / 16); } else { //Use microseconds since page-load if supported r = (d2 + r) % 16 | 0; d2 = Math.floor(d2 / 16); } return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16); }); } function generateUUID2() { const hexDigits = '0123456789abcdef'; let uuid = ''; for (let i = 0; i < 36; i++) { if (i === 8 || i === 13 || i === 18 || i === 23) { uuid += '-'; } else if (i === 14) { uuid += '4'; } else if (i === 19) { uuid += hexDigits.substr((Math.random() * 4) | 0, 1); } else { uuid += hexDigits.substr((Math.random() * 16) | 0, 1); } } return uuid; }
Tests:
uuidv4
for (var i=0; i<10000; i++){ generateUUID2(); }
generateUUID
for (var i=0; i<10000; i++){ generateUUID(); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
uuidv4
generateUUID
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36
Browser/OS:
Chrome 123 on Mac OS X 10.15.7
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Test name
Executions per second
uuidv4
44.6 Ops/sec
generateUUID
16.0 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. **Benchmark Definition JSON** The provided benchmark definition JSON represents two individual test cases: `uuidv4` and `generateUUID`. Both tests aim to measure the performance of generating unique identifiers using different approaches. **Options Compared** The two options being compared are: 1. **generateUUID**: This function generates UUIDs using a proprietary algorithm that combines timestamp and random values. The implementation is shown in the provided JSON. 2. **uuidv4**: This function uses the v4 variant of the UUID library (not explicitly mentioned in the JSON, but implied by its name). The v4 variant generates UUIDs based on the date, time, and a random value. **Pros and Cons** Here's a brief summary of each approach: * **generateUUID**: * Pros: Generates UUIDs that are cryptographically secure and can be used for authentication or other security purposes. * Cons: The implementation is not widely recognized or standardized, making it harder to compare with other libraries. Additionally, the use of timestamp and random values might lead to slower performance compared to v4 variant. * **uuidv4**: * Pros: Uses a widely recognized and standardized algorithm for generating UUIDs, ensuring consistency and comparability across different systems. The v4 variant is also considered more secure than older variants like v1 or v3. * Cons: May not be suitable for applications requiring cryptographically secure UUIDs. **Library Usage** The `uuidv4` test case uses the v4 variant of the UUID library, which is a widely used and well-maintained implementation. The `generateUUID` function appears to be a custom implementation, but its performance and security characteristics are not immediately comparable to the v4 variant. **Special JS Features or Syntax** The `performance.now()` function is used in the `generateUUID` implementation to retrieve the timestamp since page-load. This function is a standard part of JavaScript's built-in API for measuring time. The use of `Math.random()` and its application in generating UUIDs also leverages JavaScript's random number generation capabilities. **Other Considerations** When creating benchmarks like this, consider factors such as: * Test size: A larger test size can provide more accurate results but may be slower. * Repeat counts: Increasing the repeat count can help average out variations and improve accuracy. * Platform and browser support: Ensure that the benchmark is run on a representative range of platforms and browsers to account for potential performance differences. **Alternatives** If you're interested in exploring alternative approaches, consider: * Using existing UUID libraries like `uuid` or `uuid-js`, which provide standardized implementations and can be easily compared against. * Implementing your own UUID generation algorithm using cryptographic primitives like SHA-256 or BLAKE2. Keep in mind that each approach has its strengths and weaknesses. The choice of implementation depends on your specific use case, performance requirements, and the level of security needed.
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