Benchmark: imperative-prop-selector

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.26.1/ramda.min.js"></script>

Script Preparation code:

var mock = {
  name: 'José Manuel',
  surname: 'Lucas',
  organization: {
    id: 11,
    selfcare: {
      id: 12355,
      customization: {
        colors: {
          foreground: '#fff',
          background: {
            primary: '#ff0000',
          }
        }
      }
    }
  },
};

const getName = ({ name }) => name;

const isObject = x => typeof x === 'Object';

const getOrganization = obj => isObject(obj) && obj.organization;

const getSelfcare = obj => isObject(getOrganization(obj)) && getOrganization(obj).selfcare;

const getCustomization = obj => isObject(getSelfcare(obj)) &&  getSelfcare(obj).customization;

const getColors = obj => isObject(getCustomization(obj)) && getCustomization(obj).colors;

var getForegroundColor = obj => isObject(getColors(obj)) && getColors(obj).foreground;

Tests:

Imperative path
getForegroundColor(mock);
Ramda path
R.path(['organization', 'selfcare', 'customization', 'colors', 'foreground'], mock);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Imperative path
Ramda path

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):

LLMs can make mistakes. Check important info.

**What is being tested on the provided JSON?**

The provided JSON represents a JavaScript benchmark test case for measuring the performance of two different approaches to accessing nested properties in an object.

In this specific test case, we have a mock object `mock` that contains several nested objects and arrays. The test cases aim to measure how fast each approach can access specific values within this complex data structure.

**Options compared:**

The two options being compared are:

1. **Imperative path**: This approach uses a series of explicit function calls to navigate through the object hierarchy, starting from the `mock` object and using local variables to store intermediate results.
2. **Ramda path**: This approach uses the Ramda library's `R.path()` function, which provides a more concise and functional way to access nested properties in an object.

**Pros and Cons of each approach:**

* **Imperative path:**
	+ Pros:
		- Easy to understand and maintain for developers familiar with traditional JavaScript syntax.
		- Can be optimized for specific use cases by rearranging the sequence of function calls or using caching mechanisms.
	+ Cons:
		- Typically less efficient than functional approaches due to the overhead of creating local variables and executing explicit function calls.
		- May require more boilerplate code, which can increase development time.
* **Ramda path:**
	+ Pros:
		- More concise and expressive syntax, making it easier to write and maintain complex data access pipelines.
		- Often faster than imperative approaches due to the optimized internal implementation of `R.path()`.
	+ Cons:
		- May be less familiar to developers without experience with functional programming concepts or the Ramda library.
		- Can be more challenging to debug and optimize due to its concise syntax.

**Library:**

The Ramda library is used in this benchmark test case. Ramda provides a set of functional programming primitives, including `R.path()`, that can be used to transform and manipulate data in a concise and expressive way.

**Special JS feature or syntax:**

None mentioned in the provided code snippet.

**Benchmark preparation code explanation:**

The script preparation code sets up the mock object `mock` with nested properties, which will be used as input for both test cases. The `getName()`, `isObject()`, `getOrganization()`, and other functions are defined to access specific values within this complex data structure.

**Individual test case explanations:**

1. **Imperative path**: This test case measures the performance of the imperative approach using a series of explicit function calls to navigate through the object hierarchy.
2. **Ramda path**: This test case measures the performance of the Ramda library's `R.path()` function, which provides a concise and functional way to access nested properties in an object.

**Other alternatives:**

* Other JavaScript libraries or frameworks that provide similar functionality to Ramda, such as Lodash or Underscore.js.
* Alternative implementation of the imperative path using techniques like memoization, caching, or just-in-time (JIT) compilation.
* Using a different data structure, such as an array of objects, instead of a nested object hierarchy.

Latest run results:

Run details: (Test run date: 5 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.109 Safari/537.36

Browser/OS: Chrome 72 on Linux

View result in a separate tab

Test name	Executions per second
Imperative path	5720501.5 Ops/sec
Ramda path	1841758.1 Ops/sec

Related benchmarks:

imperative-prop-selector (version: 0)

Comparing performance of: Imperative path vs Ramda path

Created: 5 years ago by: Guest

Jump to the latest result

Imperative path

Ramda path

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):