Benchmark: Regex Compare - MeasureThat.net

Script Preparation code:

const precompiled = /^(IModelReadRpcInterface-(.+)-getDefaultViewId)$/;

Tests:

Pre-compiled
precompiled.test('IModelReadRpcInterface-2.0.0-getDefaultViewId');
Runtime
/^(IModelReadRpcInterface-(.+)-getDefaultViewId)$/.test('IModelReadRpcInterface-2.0.0-getDefaultViewId');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Pre-compiled
Runtime

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36

Browser/OS: Chrome 133 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Pre-compiled	22439452.0 Ops/sec
Runtime	21429812.0 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark definition and test cases to explain what's being tested, the options compared, their pros and cons, and other considerations.

**Benchmark Definition**

The benchmark is testing the comparison of two regular expression (regex) patterns: `precompiled` and a raw string `/^(IModelReadRpcInterface-(.+)-getDefaultViewId)$/`. The goal is to measure the performance difference between using a pre-compiled regex pattern versus compiling one at runtime.

**Pre-compiled Regex Pattern**

The `precompiled` variable is assigned a regex pattern that has been compiled ahead of time. This approach takes advantage of caching, which can improve performance in some cases.

Pros:

1. **Caching**: The regex pattern is already compiled, so subsequent executions with the same pattern can reuse this cached version.
2. **Efficient string matching**: Compiled regex patterns are often faster than raw strings because they're optimized for string matching.

Cons:

1. **Initial compilation overhead**: Compiling the regex pattern at startup can incur some overhead.
2. **Less flexible**: The pre-compiled pattern is fixed and cannot be easily modified or updated without recompiling the entire regex engine.

**Raw Regex String**

The raw regex string `/^(IModelReadRpcInterface-(.+)-getDefaultViewId)$/` is used in a separate test case. This approach compiles the regex pattern on demand, which can offer flexibility but may incur additional overhead.

Pros:

1. **Flexibility**: The regex pattern can be easily modified or updated without recompiling the entire regex engine.
2. **No initial compilation overhead**: The regex pattern is compiled only when needed.

Cons:

1. **Less efficient string matching**: Raw strings are generally slower than pre-compiled regex patterns due to the overhead of compiling and executing the regex engine on demand.
2. **Potential performance impact**: Compilation of the regex engine can introduce additional latency, especially in cases where the same pattern is reused multiple times.

**Library Used**

The `precompiled` variable uses a regex library (not explicitly mentioned) to compile and store the regex pattern. The exact library used is not specified, but common options include:

1. `RegExp`: A built-in JavaScript function for creating and compiling regex patterns.
2. `regex-escape`: A popular library for escaping and normalizing regex patterns.

**Special JS Feature or Syntax**

None of the test cases use any special JavaScript features or syntax that would affect their behavior significantly.

**Other Alternatives**

If you were to consider alternative approaches, some options could be:

1. **Using a different regex engine**: Depending on your specific requirements, using a different regex engine like ` RegExp` from `Node.js` or `regex-escape` might offer performance benefits.
2. **Parallelizing compilation and execution**: Compiling the regex pattern in parallel with its execution could potentially improve performance by reducing overhead.
3. **Using caching mechanisms other than regex engines**: Caching mechanisms like memoization or caching libraries (e.g., LRU Cache) might provide better performance benefits than using regex engines alone.

Keep in mind that these alternatives may require significant changes to your codebase and should be evaluated based on their specific use cases and requirements.

Related benchmarks:

Regex Compare (version: 0)

Comparing performance of: Pre-compiled vs Runtime

Created: 5 years ago by: Guest

Jump to the latest result

Pre-compiled

Runtime

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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