Benchmark: test vs match v2

Script Preparation code:

var text = `
Flow exporter exporter-ipf:
Exporter  ddb node id: 0x5400100
    Description: LAB
    Destination: 10.0.10.20
    VRF: default (1)
    Destination UDP Port 9995
    Source Interface loopback0 (10.241.255.6)
    Export Version 5
    Exporter Statistics
        Number of Flow Records Exported 0
        Number of Export Packets Sent 0
        Number of Export Bytes Sent 0
        Number of Destination Unreachable Events 0
        Number of No Buffer Events 0
        Number of Packets Dropped (No Route to Host) 0
        Number of Packets Dropped (other) 0
        Number of Packets Dropped (LC to RP Error) 0
        Number of Packets Dropped (Output Drops) 0
        Time statistics were last cleared: Never
`;
var regex =  /^\s*Destination\s(UDP|SCTP)\sPort\s(\d+)/;

var rows = text.split(/\n/);

Tests:

test
var out = rows.reduce((acc, row) => { if (regex.test(row)) { acc.push(row.match(regex)); } else { return acc } }, []);
match
var out = rows.reduce((acc, row) => { var result = row.match(regex) if (result) { acc.push(result); } else { return acc } }, []);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
test
match

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0

Browser/OS: Firefox 115 on Windows

View result in a separate tab

test

1.9M/s

match

1.5M/s

View exact numbers

Test name	Executions per second
✓ test	1,917,496 Ops/sec
match	1,491,512 Ops/sec

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

LLMs can make mistakes. Check important info.

**Benchmark Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The benchmark in question tests the performance of two approaches: `test` and `match`, which are used to extract specific data from a string.

**What is tested?**

The benchmark measures the execution time of two functions:

1. `test`: This function uses the `reduce()` method with an arrow function to iterate over the rows in the `text` string. It checks if each row matches the regular expression `regex`, and if it does, extracts the matched data using the `match()` method. If not, the function returns without adding anything to the accumulator.
2. `match`: This function is similar to `test`, but it uses a traditional `if-else` statement instead of an arrow function.

**Options compared**

The two functions are compared in terms of their performance, with `ExecutionsPerSecond` being the primary metric measured.

**Pros and Cons**

* **Arrow functions (test)**:
	+ Pros: More concise and readable code, as it eliminates the need for a separate return statement.
	+ Cons: Some older JavaScript engines might not support arrow functions, which could lead to compatibility issues.
* **Traditional `if-else` statements (match)**:
	+ Pros: Wider support across different JavaScript engines and browsers, as it's a more traditional syntax.
	+ Cons: Longer and less concise code, making it potentially harder to read and maintain.

**Library usage**

In this benchmark, the `regex` object is used from the JavaScript standard library. The regular expression itself (`/^\\s*Destination\\s(UDP|SCTP)\\sPort\\s(\\d+)/`) is also part of the standard library.

**Special JS feature or syntax**

There are no special features or syntaxes being tested in this benchmark, as both functions use standard JavaScript constructs.

**Other considerations**

One potential consideration is the impact of the `regex` object on performance. If the regular expression is complex or large, it could potentially lead to slower execution times due to the overhead of compiling and matching the pattern. However, in this simple case, the impact is likely minimal.

**Alternatives**

If you were to rewrite this benchmark using a different approach, some alternatives might include:

* Using a library like `regex-test` or `fast-regex` for more efficient regular expression testing.
* Employing other string manipulation techniques, such as using `String.prototype.split()` instead of manual row-by-row iteration.
* Utilizing JavaScript engines with advanced optimization features, such as V8's `Nanosecond timer` API, to measure execution times more accurately.

However, given the simplicity and readability of the existing code, it's unlikely that rewriting the benchmark would significantly improve performance or alter its results.

test vs match v2 (version: 2) Benchmark.js

Comparing performance of: `test vs match`

Created: 3 years ago by: Registered User

Go to the latest result

test

match

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

test vs match v2 (version: 2) Benchmark.js

Comparing performance of: test vs match

Created: 3 years ago by: Registered User

Go to the latest result

test

match

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Comparing performance of: `test vs match`