Benchmark: repository - MeasureThat.net

Script Preparation code:

const createItem = (value, index) => ({ id: index, label: "Label" });
const payload = new Array(3).map(createItem);
var action = { payload };

var emptyValues = (source) => {
    const copy = {};
    // create an object with the same properties but empty values
    Object.keys(source).forEach((key) => copy[key] = typeof source[key] === "string" ? "" : null);
    return copy;
};

var extractAttributes = (payload) => payload.attributes;

Tests:

using extra data constant
const repository = (payload) => { const data = payload.map(extractAttributes); return [ ...data.slice(0, 1).map(emptyValues), ...data ]; } repository(action.payload);
without extra constant
const repository2 = (payload) => { return [ ...payload.slice(0, 1).map(extractAttributes).map(emptyValues), ...payload.map(extractAttributes) ]; } repository2(action.payload);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
using extra data constant
without extra constant

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 8 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36

Browser/OS: Chrome 53 on Windows

View result in a separate tab

Test name	Executions per second
using extra data constant	506654.8 Ops/sec
without extra constant	446609.3 Ops/sec

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

LLMs can make mistakes. Check important info.

Measuring that.net is a website where users can create and run JavaScript microbenchmarks to compare the performance of different approaches.

**Benchmark Definition**

The benchmark definition in JSON format represents two test cases:

1. "using extra data constant"
2. "without extra constant"

Both test cases use the same JavaScript function `repository` with slightly different implementations.

**Script Preparation Code**

The script preparation code defines two functions:

* `createItem`: creates an object with a fixed structure (id and label) for each item in the payload array.
* `payload`: creates an array of three items using the `createItem` function.
* `action`: creates an object with the payload as its property.
* `emptyValues`: creates a copy of an object with empty values for non-string properties.
* `extractAttributes`: extracts attributes from an object.

**Html Preparation Code**

There is no HTML preparation code provided, which means that this benchmark does not rely on any specific HTML structure or rendering.

**Test Cases**

The two test cases differ in the implementation of the `repository` function:

1. "using extra data constant":
	* The function takes the payload as an argument.
	* It extracts attributes from each item using `extractAttributes`.
	* It creates a copy of the first item with empty values using `emptyValues`.
	* It concatenates the result with the remaining items in the payload.
2. "without extra constant":
	* The function does not take any arguments.
	* It extracts attributes from each item using `extractAttributes` directly on the payload.
	* It concatenates the result without creating a copy of the first item.

**Pros and Cons**

1. "using extra data constant":
	+ Pros: This implementation can be more efficient if the first item needs to be processed separately, but still benefits from caching the extracted attributes.
	+ Cons: This approach may lead to unnecessary computations if the first item is not significant.
2. "without extra constant":
	+ Pros: This implementation avoids unnecessary computations for the first item and leverages caching.
	+ Cons: If the first item needs special processing, this approach will incur additional overhead.

**Library**

There is no explicit library mentioned in the benchmark definition or test cases.

**Special JS Feature**

The benchmark uses the `...` operator (spread operator) to concatenate arrays. This feature was introduced in ECMAScript 2015 (ES6).

**Alternatives**

Other alternatives for benchmarking similar scenarios might include:

* Using a different data structure, such as a linked list or a tree, instead of an array.
* Implementing the `repository` function using a different programming paradigm, such as imperative vs. functional programming.
* Adding additional computations or transformations to the payload before passing it to the `repository` function.

In general, benchmarking involves identifying and optimizing performance-critical sections of code that can have a significant impact on system performance. Measuring that.net provides a simple and accessible platform for developers to test their ideas and compare different approaches.

Related benchmarks:

repository (version: 0)

Comparing performance of: using extra data constant vs without extra constant

Created: 8 years ago by: Guest

Jump to the latest result

using extra data constant

without extra constant

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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