Benchmark: groupBy (ramda vs custom impl)

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>

Script Preparation code:

function groupBy(n,r){return 1===arguments.length?function(r){return groupBy(n,r)}:r.reduce(function(r,u){var t=n(u);return r[t]?r[t].push(u):r[t]=[u],r},{})}

var students = [...Array(3000)].map((v, i) => {
  return {
    value: parseInt(Math.random() * 100, 10),
    score: parseInt(Math.random() * 100, 10)
  }
})

var fn = function(student) {
  var score = student.score;
  return score < 65 ? 'F' :
         score < 70 ? 'D' :
         score < 80 ? 'C' :
         score < 90 ? 'B' : 'A';
}

Tests:

ramda
var byGrade = R.groupBy(fn); byGrade(students)
custom impl
var byGrade = groupBy(fn); byGrade(students)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ramda
custom impl

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 what's being tested in this benchmark.

**What is being tested?**

The benchmark is testing the performance of two approaches for grouping data by grade:

1. **Ramda implementation**: The benchmark uses the Ramda library to implement the `groupBy` function. This approach relies on a functional programming style and uses immutable data structures.
2. **Custom implementation**: The second approach implements the `groupBy` function from scratch, without any external libraries.

**Options compared**

The two approaches are being compared in terms of their performance, which is measured by the number of executions per second.

**Pros and cons of each approach**

**Ramda implementation:**

Pros:

* Uses a well-established and widely-used library (Ramda)
* Provides a functional programming style that can lead to more concise and expressive code
* Immutable data structures can be beneficial for thread-safety and predictability

Cons:

* Adds an external dependency (the Ramda library) that may not be present in all environments
* May have performance overhead due to the use of a separate library

**Custom implementation:**

Pros:

* Eliminates the need for an external library, which can reduce dependencies and improve security
* Can provide better control over the implementation details and optimization opportunities

Cons:

* Requires more manual memory management and handling of mutable data structures
* May be less concise or expressive than a well-written functional programming implementation

**Library: Ramda**

Ramda is a popular JavaScript library for functional programming. It provides a set of higher-order functions that can be used to manipulate and transform data in a predictable and efficient manner. In this benchmark, the `groupBy` function is used to group an array of objects by a common property (in this case, the "score" field).

**Special JS feature: None**

There are no special JavaScript features or syntaxes being tested in this benchmark.

**Benchmark preparation code**

The script preparation code defines two functions:

* `groupBy(n,r)`: This function takes two arguments (`n` and `r`) and returns a new function that groups an array by the property specified by `r`. If only one argument is provided, it returns the original function. The implementation uses a reduce method to iterate over the array and accumulate the results.
* `fn(student)`: This function takes a student object as input and returns a string representing their grade based on their score.

The students array is created using an array comprehension, which generates 3000 random student objects with scores between 0 and 100. The `byGrade` variable is assigned to the result of calling the `groupBy` function with the `fn` function as its second argument.

**Html preparation code**

The HTML preparation code includes a script tag that loads the Ramda library from a CDN.

In summary, this benchmark compares the performance of two approaches for grouping data by grade: a Ramda implementation and a custom implementation. The Ramda implementation uses a functional programming style and a separate library, while the custom implementation requires manual memory management and handling of mutable data structures.

Related benchmarks:

groupBy (ramda vs custom impl) (version: 0)

Comparing performance of: ramda vs custom impl

Created: 7 years ago by: Registered User

Jump to the latest result

ramda

custom impl

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):