Benchmark: Object.fromEntries VS multiple reduce from list of data

Script Preparation code:

var data = Array.from(Array(5000).keys());

Tests:

Object.fromEntries
Object.fromEntries(data.map((key) => [key, key]));
Reduce (reuse object)
Object.entries(data).reduce((acc, key) => { acc[key] = key.toString(); return acc; }, {});
Reduce (creating temporary objects)
Object.entries(data).reduce((acc, key) => ({ ...acc, [key]: key.toString() }), {});

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Object.fromEntries
Reduce (reuse object)
Reduce (creating temporary objects)

Fastest: N/A

Slowest: N/A

Latest 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 break down the benchmark definition and test cases.

**Benchmark Definition**

The benchmark compares three approaches to create an object from a list of key-value pairs:

1. `Object.fromEntries(data.map((key) => [key, key]));`
2. `Object.entries(data).reduce((acc, key) => {\r\n  acc[key] = key.toString();\r\n  return acc;\r\n}, {});`
3. `Object.entries(data).reduce((acc, key) => ({\r\n  ...acc,\r\n  [key]: key.toString()\r\n}), {});`

These approaches are used to create an object where each key is a unique value from the input list.

**Options Compared**

The benchmark compares three options:

1. `Object.fromEntries`: A modern JavaScript method that creates an object from an array of key-value pairs.
2. `Reduce (reuse object)`: An approach that uses the `reduce` method to create an object, reusing the existing accumulator object and appending new properties to it.
3. `Reduce (creating temporary objects)`: An approach that uses the `reduce` method to create a new object for each iteration, without reusing any object.

**Pros and Cons**

1. **Object.fromEntries**: This approach is concise and easy to read. It's also likely to be optimized by modern JavaScript engines.
	* Pros: Concise, efficient
	* Cons: May not be supported in older browsers or environments
2. **Reduce (reuse object)**: This approach reuses the existing accumulator object, which can lead to better performance due to reduced object creation overhead.
	* Pros: Efficient, reduces object creation overhead
	* Cons: Can be less readable and more error-prone due to manual property management
3. **Reduce (creating temporary objects)**: This approach creates a new object for each iteration, which may lead to increased memory allocation and deallocation overhead.
	* Pros: Easy to understand and implement
	* Cons: Inefficient due to excessive object creation

**Library and Purpose**

None of the test cases rely on any external libraries. They use built-in JavaScript methods and syntax.

**Special JS Features or Syntax**

There is no special JavaScript feature or syntax used in these test cases. However, it's worth noting that `Object.fromEntries` was introduced in ECMAScript 2015 (ES6) and may not be supported in older browsers or environments.

**Other Alternatives**

If you need to create an object from a list of key-value pairs, you can also use the spread operator (`{...data.map((key) => [key, key])}`) or the `Object.create()` method with an initial object as a third argument. These alternatives may offer different trade-offs in terms of readability, performance, and compatibility.

For example:

* Using the spread operator: `{...data.map((key) => [key, key])}`
* Using `Object.create()`: `Object.create(null).reduce((acc, key) => {\r\n  acc[key] = key.toString();\r\n  return acc;\r\n}, {})`

Related benchmarks:

Object.fromEntries VS multiple reduce from list of data (version: 1)

Object.fromEntries vs Reduce (reuse object) vs Reduce (creating temporary objects) from list of data

Comparing performance of: Object.fromEntries vs Reduce (reuse object) vs Reduce (creating temporary objects)

Created: 2 years ago by: Registered User

Jump to the latest result

Object.fromEntries

Reduce (reuse object)

Reduce (creating temporary objects)

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):