Benchmark: uuid benchmark - MeasureThat.net

HTML Preparation code:

<script src=" https://cdn.jsdelivr.net/npm/uuid@11.0.3/dist/cjs-browser/index.min.js "></script>

Tests:

testcase1
const { v4: uuidv4 } = require('uuid'); uuidv4();
testcase2
console.log("hello");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
testcase1
testcase2

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 7 days ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:133.0) Gecko/20100101 Firefox/133.0

Browser/OS: Firefox 133 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
testcase1	0.0 Ops/sec
testcase2	336755.8 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated 7 days ago):

LLMs can make mistakes. Check important info.

The benchmark outlined in the provided JSON focuses on measuring the performance of UUID generation using the `uuid` library compared to a simple console log operation in JavaScript. Here’s a breakdown of the benchmark and the comparisons being made:

### Overview of the Benchmark

**Benchmark Name**: `uuid benchmark`

**Library Used**: `uuid` 
- **Purpose**: The `uuid` library is widely used for generating universally unique identifiers (UUIDs). In this context, specifically, it is using the version 4 (UUIDv4) generation method, which produces random UUIDs based on random numbers. This is particularly useful in applications where uniqueness is essential, such as assigning identifiers to resources.

### Test Cases

1. **Test Case 1**:
   - **Benchmark Definition**: `const { v4: uuidv4 } = require('uuid'); uuidv4();`
   - **Test Name**: `testcase1`
   - **Purpose**: This test is measuring the performance of the UUID generation using the `uuid` library. The benchmark runs the `uuidv4()` method, which generates a UUID.

2. **Test Case 2**:
   - **Benchmark Definition**: `console.log("hello");`
   - **Test Name**: `testcase2`
   - **Purpose**: This test is measuring the performance of a simple console log operation.

### Results Analysis

- **Performance Metrics**:
  - **Test Case 2** (`console.log("hello")`): Achieved an execution rate of approximately **336,755.81 executions per second**. This indicates that the logging operation is extremely quick and efficient.
  - **Test Case 1** (`uuidv4()`): Reported an execution rate of **0.0 executions per second**, which implies that the UUID generation did not complete successfully within the test execution timeframe or there was an error executing the code.

### Pros and Cons of Approaches

#### Generating UUIDs with the `uuid` library:
- **Pros**:
  - Produces unique identifiers that can be used in various applications without the risk of collision.
  - The library is standards-compliant and well-tested across many environments.
- **Cons**:
  - UUID generation is generally more computationally expensive than simple operations like console logging.
  - If the library call encounters an error or is not set up correctly (e.g., not properly imported or issues with environment compatibility), it can fail to execute, as seen in the benchmark results.

#### Simple Console Logging:
- **Pros**:
  - Extremely fast and lightweight, making it suitable for performance-sensitive applications where logging is needed.
  - No external dependencies, which reduces complexity.
- **Cons**:
  - Offers little functional value beyond debugging and does not meet the needs for generating unique identifiers.

### Alternatives

- **For UUID Generation**:
  - There are alternative libraries and methods for generating UUIDs, such as:
    - **Crypto API**: In modern browsers, the built-in `crypto.getRandomValues()` method provides a way to generate random values securely, which can be used to implement UUIDs.
    - **Other Libraries**: Libraries like `nanoid` provide unique ID generation with even smaller sizes for use cases where the UUID standard may not be required.

- **For Logging**:
  - Instead of console logging, developers can use logging frameworks (like Winston or Log4js for Node.js) that offer more features such as log levels, transport options, and formatting.

### Additional Considerations
- The performance of JavaScript operations can vary widely across different browsers and platforms due to differences in JavaScript engines. As seen in this benchmark, the environment can significantly impact execution results.
- Benchmarking results should be treated with care, as a single measurement does not provide a complete picture of performance. It's advisable to run multiple iterations and average the results to account for inconsistencies and workloads.

This benchmark serves as a useful exercise in understanding the trade-offs between performance and functionality when making choices about libraries and operations within an application.

Related benchmarks:

uuid benchmark (version: 1)

Comparing performance of: testcase1 vs testcase2

Created: 7 days ago by: Guest

Jump to the latest result

testcase1

testcase2

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated 7 days ago):