Benchmark: Object parameter parsing #1

Tests:

Big code way
const person2 = { first: { test: "Testas" } }; const resolve = (currentLabels, translationKey) => { const pathToFollowInLabels = translationKey.split(".") let currentPositionInLabels = currentLabels for (let i = 0; i < pathToFollowInLabels.length; i++) { currentPositionInLabels = currentPositionInLabels[pathToFollowInLabels[i]] if (!currentPositionInLabels) { return translationKey } } return currentPositionInLabels } resolve(person2, "first.test");
Reduce way
const person2 = { first: { test: "Testas" } }; const resolve = (path, obj) => path.split(".").reduce((prev, curr) => prev[curr], obj || this); resolve("first.test", person2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Big code way
Reduce way

Fastest: N/A

Slowest: N/A

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

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Let's break down the benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark is comparing two different approaches to parse an object's property using JavaScript. The test cases are designed to measure the performance difference between "Big code way" and "Reduce way".

**What's Being Tested**

In this benchmark, we have a nested object `person2` with a property `first` that has another property `test`. The goal is to access the value of `test` using a path-like syntax (e.g., `"first.test"`).

The two approaches being compared are:

1. **Big code way**: This approach uses a function `resolve` that takes the current labels and translation key as input. It splits the translation key into individual levels, iterates through each level, and updates the current position in the labels object. If the current position is not found, it returns the entire translation key.
2. **Reduce way**: This approach uses a function `resolve` that takes a path and an object as input. It splits the path into individual levels, reduces the object using the `reduce` method, and returns the resulting value.

**Pros and Cons of Each Approach**

1. **Big code way**:
	* Pros: More explicit and readable code, easy to understand the logic.
	* Cons: May be slower due to the explicit iteration and conditional checks.
2. **Reduce way**:
	* Pros: Can be faster since it uses a single, optimized loop.
	* Cons: Less explicit and less readable code, might require more expertise in JavaScript.

**Library/Functionality Used**

In both test cases, we're using a library or function called `reduce`. The `reduce` method is a built-in JavaScript function that applies a callback function to each element of an array (in this case, the path levels) and reduces it to a single value.

**Special JS Feature/Syntax**

Neither of the approaches uses any special JavaScript features or syntax. However, if we were to add any special cases, we might consider using:

* ES6 classes or modules for object creation
* Async/await for asynchronous operations (not applicable in this simple benchmark)
* Proxy objects for dynamic property access

**Other Alternatives**

If you wanted to explore alternative approaches, here are a few options:

1. **Use a different data structure**: Instead of using an object with nested properties, consider using an array or another data structure that's optimized for path-based queries.
2. **Implement a custom parser**: If the performance difference between these two approaches is significant enough, you might consider implementing your own custom parser that's optimized for this specific use case.
3. **Use a caching mechanism**: To further improve performance, consider adding a caching layer to store intermediate results or frequently accessed values.

Keep in mind that these alternatives would require significant changes to the benchmark and may not be feasible depending on the specific requirements of your project.

Related benchmarks:

Object parameter parsing #1 (version: 0)

Comparing performance of: Big code way vs Reduce way

Created: 5 years ago by: Guest

Jump to the latest result

Big code way

Reduce way

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):