Benchmark: Ramda lens path vs precompiled lens path vs vanilla

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>

Script Preparation code:

function compileFn(source) {
  // eslint-disable-next-line no-eval
  return eval(`(function() {return ${source}})()`);
}

function compiledPathGetter(path) {
  return compileFn(/* typescript */ `function _getter (obj) {
    return obj.${path};
  }`);
}

function ramdaGetter(path) {
  const getter = R.view(R.lensPath(path.split('.')));
  
  return getter;
}

window.theme = { colors: { red: 'red' } };

window.getNestedColor = compiledPathGetter('colors.red');
window.getNestedColorRamda = ramdaGetter('colors.red');
window.getNestedColorVanilla = (obj) => obj.colors.red;

Tests:

Precompiled
getNestedColor(theme);
Ramda
getNestedColorRamda(theme);
Vanilla
getNestedColorVanilla(theme);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Precompiled
Ramda
Vanilla

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's dive into the Benchmark Definition and Individual test cases.

**Benchmark Definition:**
The benchmark is designed to compare three approaches for accessing nested properties in an object:

1. **Precompiled**: The `getNestedColor` function is compiled using `eval`, which generates a new JavaScript function that directly accesses the property.
2. **Ramda**: The `getNestedColorRamda` function uses Ramda's `R.view` and `R.lensPath` functions to create a lens, which is a way of accessing nested properties in an object.
3. **Vanilla**: The `getNestedColorVanilla` function directly accesses the property using dot notation.

**Options Compared:**

* **Precompiled vs Ramda**: This comparison tests whether precompilation (using `eval`) and Ramda's lens approach are faster.
* **Ramda vs Vanilla**: This comparison tests whether Ramda's lens approach is faster than direct access using dot notation.

**Pros and Cons of Each Approach:**

1. **Precompiled**:
	* Pros: Can be faster due to direct access, no need to create a lens or evaluate a function.
	* Cons: Uses `eval`, which can lead to performance issues in some cases, and may not work well with static code analysis tools.
2. **Ramda**:
	* Pros: More readable and maintainable code, as the lens approach abstracts away low-level details.
	* Cons: May be slower due to the creation of a lens and the evaluation of the function.
3. **Vanilla**:
	* Pros: Simple and straightforward, with no additional dependencies or performance overhead.
	* Cons: May lead to slower performance due to the need to access nested properties.

**Libraries and Special JS Features:**

* **Ramda**: Ramda is a functional programming library that provides a set of higher-order functions for working with data. In this benchmark, Ramda's `R.view` and `R.lensPath` functions are used to create a lens.
	+ Purpose: To provide an alternative approach for accessing nested properties in objects.

**Other Considerations:**

* **Code Readability**: The precompiled approach uses `eval`, which can make the code harder to read. Ramda's lens approach is more readable and maintainable.
* **Performance Overhead**: The benchmark measures the execution speed of each approach, but other factors like memory allocation and garbage collection may also impact performance.

**Alternatives:**

* For accessing nested properties in objects, other approaches include using dot notation (Vanilla), creating a property accessor function (e.g., with `Object.prototype.hasOwnProperty.call`), or using a library like Lodash's `_get` function.
* For functional programming and abstracting away low-level details, libraries like Underscore.js, Moment.js, or even the built-in `Array.prototype.map`/`forEach` methods can be used.

In summary, this benchmark compares three approaches for accessing nested properties in objects: precompilation using `eval`, Ramda's lens approach, and direct access using dot notation. The results will help determine which approach is faster and more suitable for a particular use case.

Related benchmarks:

Ramda lens path vs precompiled lens path vs vanilla (version: 0)

Comparing performance of: Precompiled vs Ramda vs Vanilla

Created: 4 years ago by: Guest

Jump to the latest result

Precompiled

Ramda

Vanilla

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):