Benchmark: reduce vs map + fromEntries + parseJson

Script Preparation code:

var data = { ...Array.from(Array(10000).keys()) };

Tests:

1
Object.entries(data).reduce((acc, [k, v]) => { acc[k] = v.toString(); return acc; }, {});
2
Object.fromEntries(Object.entries(data).map(([k, v]) => ([k, v.toString()])));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1
2

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's dive into explaining the provided JavaScript microbenchmark.

**Benchmark Overview**

The benchmark compares two approaches for transforming and processing an object: `reduce` and `map + fromEntries + parseJson`. The goal is to determine which approach is faster in terms of execution time.

**Options Compared**

1. **Reduce**: This method iterates over the key-value pairs of the `data` object, applying a reduction function to each pair. In this case, the reduction function converts each value to a string using `toString()` and stores the result in an accumulator object.
2. **Map + fromEntries + parseJson**: This approach first maps over the key-value pairs of the `data` object, converting each value to a string using `toString()`. Then, it uses `Object.fromEntries()` to create a new object from the mapped array of key-value pairs.

**Pros and Cons**

* **Reduce**:
	+ Pros: Can be more concise and expressive for simple transformations.
	+ Cons: May have performance overhead due to function calls and accumulator management.
* **Map + fromEntries + parseJson**:
	+ Pros: Can be more efficient in terms of memory usage, as it avoids the need for an accumulator object. Also, `fromEntries()` can perform better than `reduce()` if the input data is large.
	+ Cons: May be less concise and more verbose due to the additional function calls.

**Library Usage**

There is no explicit library mentioned in the benchmark definition or test cases. However, it's worth noting that `Object.fromEntries()` was introduced in ECMAScript 2019 (ES10), so it may not be supported by older browsers.

**Special JS Features/Syntax**

None are explicitly mentioned in the provided benchmark.

**Considerations**

* The use of `toString()` to convert values to strings might have performance implications, especially for large datasets.
* The size and complexity of the input data (`data`) can affect the relative performance of each approach.
* The specific browser and device platform used for testing may also impact the results.

**Other Alternatives**

For this particular benchmark, other approaches could be:

1. Using `forEach()` instead of `reduce()`.
2. Comparing the performance of using a custom loop versus `map + fromEntries + parseJson`.
3. Adding more data points or varying the size and complexity of the input data to see how it affects the results.

In terms of broader alternatives for transforming and processing objects, some options might include:

1. Using a library like Lodash or Ramda for functional programming techniques.
2. Implementing a custom transformer using a streaming approach (e.g., using `Stream` API).
3. Comparing the performance of different object serialization formats, such as JSON or JSONP.

Keep in mind that these alternatives might not be relevant to this specific benchmark, and it's essential to consider the context and requirements of your use case when choosing an approach.

Related benchmarks:

reduce vs map + fromEntries + parseJson (version: 0)

Comparing performance of: 1 vs 2

Created: 5 years ago by: Guest

Jump to the latest result

1

2

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):