Benchmark: Structification - MeasureThat.net

Script Preparation code:

//0000 0000000000000000 0000
var buffer = new ArrayBuffer(24);
var idView = new Uint32Array(buffer, 0, 1);
var usernameView = new Uint8Array(buffer, 4, 16);
var amountDueView = new Float32Array(buffer, 20, 1);

idView = Math.random()*0xFFFFFFFF;
usernameView = new TextEncoder().encode("johnSmith");
amountDueView = Math.random()*10000000;


var regularObj = {
	idView: Math.random()*0xFFFFFFFF,
    usernameView: new TextEncoder().encode("johnSmith"),
    amountDueView: Math.random()*10000000,
}

Tests:

Un-Structify Read
regularObj.usernameView;
Structed Read
usernameView

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Un-Structify Read
Structed Read

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'll break down the benchmark and explain what's being tested, compared, and discussed.

**Benchmark Definition**

The benchmark definition is a JSON object that describes a test case. In this case, there are two test cases: "Structification" and its sub-cases "Un-Structify Read" and "Structed Read".

The script preparation code defines a JavaScript object `regularObj` with three properties:

* `idView`: an unsigned 32-bit integer
* `usernameView`: a UTF-8 encoded string representing the username "johnSmith"
* `amountDueView`: a floating-point number between 0 and 100,000,000

The script also initializes the `idView`, `usernameView`, and `amountDueView` properties with random values.

**Options Compared**

There are two test cases:

1. **Un-Structify Read**: This test case measures the time it takes to read the value of `usernameView` without deconstructing it into its constituent parts.
2. **Structed Read**: This test case measures the time it takes to read the value of `usernameView` after decomposing it into its constituent parts (i.e., reading each byte of the UTF-8 encoded string separately).

**Pros and Cons**

**Un-Structify Read:**

Pros:

* Simpler to implement, as it only requires reading a single value.
* May be faster, as it avoids the overhead of deconstructing the string.

Cons:

* Does not accurately measure the performance of handling structured data in JavaScript.

**Structed Read:**

Pros:

* More realistic representation of how strings are handled in JavaScript ( UTF-8 encoding).
* Allows for a more accurate measurement of performance when dealing with structured data.

Cons:

* Requires additional processing steps to decompose the string, which may introduce overhead.
* May be slower due to the additional processing required.

**Other Considerations**

The benchmark uses a variety of features and technologies that are common in modern web development, including:

* **`new TextEncoder()`**: A built-in JavaScript function for encoding strings as UTF-8 bytes.
* **`Math.random()`**: A built-in JavaScript function for generating random numbers.
* **`Uint32Array`, `Uint8Array`, and `Float32Array`**: Built-in JavaScript array types for working with unsigned 32-bit integers, unsigned 8-bit integers, and floating-point numbers, respectively.

**Library**

The benchmark does not use any external libraries. However, it relies on the built-in JavaScript features mentioned above to perform its tests.

There are no special JavaScript features or syntaxes being tested in this benchmark that are not already covered by the standard library.

**Alternatives**

Some possible alternatives for measuring performance when handling strings in JavaScript include:

* Using a different encoding scheme (e.g., ISO-8859-1, UTF-16)
* Using a different data structure to represent the string (e.g., `ArrayBuffer` with a typed array view)
* Adding additional processing steps or optimizations to improve performance

However, these alternatives may not provide an accurate representation of real-world use cases and may require significant changes to the benchmarking script.

Related benchmarks:

Structification (version: 1)

Comparing performance of: Un-Structify Read vs Structed Read

Created: 7 years ago by: Registered User

Jump to the latest result

Un-Structify Read

Structed Read

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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