Benchmark: createObjectByIds

Script Preparation code:

var array = [
  {id:'13234', other: null, bubu: ''},
  {id:'12vwer34', other: 'x', bubu: '4wcw'},
  {id:'fsad1234', other: 0, bubu: 'cw34'},
  {id:'341234', other: 111, bubu: 'wc4'},
  {id:'4', other: 3223, bubu: 'cs4cs'}
  ]

Tests:

reduce
array.reduce(function (acc, cur, i) { acc[cur.id] = cur return acc }, {})
map
const obj = {} array.map(v => { obj[v.id] = v })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce
map

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 break down the provided JSON and explain what's being tested.

**Overview**

The test case, `createObjectByIds`, creates an array of objects with specific properties (e.g., `id`, `other`, `bubu`) using JavaScript. The goal is to measure which approach performs better: using the `reduce` method or the `map` function to create a new object.

**Options Compared**

Two options are compared:

1. **Reduce Method**: This method iterates through an array, accumulating values in an accumulator object (`acc`). For each element, it sets the value of the corresponding key in the accumulator object and returns the accumulator.
2. **Map Function**: This function applies a given callback function to each element of an array, returning a new array with the results.

**Pros and Cons**

* **Reduce Method**
	+ Pros: Can be more efficient for small arrays or when working with legacy code, as it only requires a single pass through the data.
	+ Cons: Can be less readable and more prone to errors due to its concise syntax, making it harder to understand the intent of the code.
* **Map Function**
	+ Pros: More concise and expressive than the reduce method, making it easier to read and maintain. It's also more flexible, allowing for different callback functions.
	+ Cons: Requires an extra iteration through the data, which can be slower for large arrays.

**Library Usage**

None of the libraries are explicitly mentioned in the benchmark definition or individual test cases. However, if we consider popular JavaScript libraries that might be used for similar purposes (e.g., object creation and manipulation), some notable ones include:

* Lodash: Provides various utility functions, including those for array operations.
* Ramda: A functional programming library with various utility functions.

**Special JS Feature/Syntax**

There's no explicit use of special JavaScript features or syntax in the provided benchmark. However, it's worth noting that the `reduce` method and `map` function both rely on JavaScript's higher-order functions and array iteration mechanics.

**Other Alternatives**

If you're interested in exploring alternative approaches for creating objects from arrays, some options might include:

* Using a loop with object literal creation: `const obj = {}; for (const elem of array) { obj[elem.id] = elem; }`
* Utilizing a library like Lodash or Ramda, which provide concise and expressive ways to create objects.
* Leveraging JavaScript's spread operator (`{...}`) or the `Object.fromEntries` method to create objects from arrays.

Keep in mind that these alternatives might not necessarily offer better performance or readability in this specific benchmark case.

Related benchmarks:

createObjectByIds (version: 0)

Comparing performance of: reduce vs map

Created: 7 years ago by: Guest

Jump to the latest result

reduce

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):