Benchmark: Object.fromEntries vs reduce vs Map constructor

Script Preparation code:

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

Tests:

Object.fromEntries
Object.fromEntries(Object.entries(data).map((key, value) => [key, value]));
Reduce (reuse object)
Object.entries(data).reduce((acc, [k, v]) => { acc[k] = v.toString(); return acc; }, {});
Reduce (creating temporary objects)
Object.entries(data).reduce((acc, [k, v]) => ({ ...acc, [k]: v.toString() }), {});
Map
new Map(Object.entries(data)).forEach((val, k, map) => { map.set(k, val.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)
Map

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 and explain what's being tested.

**Benchmark Overview**

The benchmark compares three ways to create an object from key-value pairs:

1. `Object.fromEntries()`
2. Using the `reduce()` method to create an object
3. Using a `Map` constructor and then iterating over it to set values

**Test Case Explanation**

Each test case measures the execution time of a specific approach.

1. `Object.fromEntries`: This approach uses the `fromEntries()` method, which creates an object from an array of key-value pairs.
2. "Reduce (reuse object)": This test case uses the `reduce()` method to create an object. The `"reuse object"` part suggests that this implementation reuses the accumulator object (`acc`) instead of creating a new one for each iteration.
3. "Reduce (creating temporary objects)": This test case also uses the `reduce()` method, but creates a new object for each iteration using the `{...acc}` syntax.
4. "Map": This approach uses a `Map` constructor and then iterates over it to set values in an object.

**Library Usage**

* The `Object.fromEntries()` method is used in the first test case. It's a built-in JavaScript method that creates an object from an array of key-value pairs.
* The `reduce()` method is used in two test cases, "Reduce (reuse object)" and "Reduce (creating temporary objects)". This is a built-in JavaScript method that applies a function to each element of an array.

**Special JS Feature/Syntax**

None of the tested approaches use any special JavaScript features or syntax beyond what's described above.

**Options Comparison**

Here's a summary of the pros and cons of each approach:

* `Object.fromEntries()`: Fast and efficient, as it creates an object directly from key-value pairs.
* "Reduce (reuse object)": Reuses the accumulator object, which can be faster for large datasets but may lead to memory issues if not handled carefully.
* "Reduce (creating temporary objects)": Creates a new object on each iteration, which can be slower and less efficient than other approaches.
* "Map": Uses a `Map` constructor and then iterates over it, which can be an interesting approach but may not be as fast or efficient as other methods.

**Alternative Approaches**

Other possible ways to create an object from key-value pairs include:

* Using the spread operator (`{...data}`) and iterating over the keys
* Using a `for...in` loop to iterate over the keys and set values
* Using a library like Lodash's `pick()` function

These alternatives may have different performance characteristics, memory usage, or readability compared to the tested approaches.

Related benchmarks:

Object.fromEntries vs reduce vs Map constructor (version: 0)

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

Created: 2 years ago by: Guest

Jump to the latest result

Object.fromEntries

Reduce (reuse object)

Reduce (creating temporary objects)

Map

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):