Benchmark: lodash chain11 - MeasureThat.net

HTML Preparation code:

https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js

Script Preparation code:


function generateDataArray(template, count) {
  const dataArray = [];
  for (let i = 0; i < count; i++) {
    const newData = {
      ...template,
      name: template.name + "_" + i,
    };
    dataArray.push(newData);
  }
  return dataArray;
}

const templateData = {
  "name": "jim",
  "color": "blue",
  "age": "22"
};

var data = generateDataArray(templateData, 1000);


var chainableFunctions = {
  map: _.map,
  groupBy: _.groupBy,
  value: _.value,
};

var chain = (input) => {
  var value = input;
  var wrapper = {
    ..._.mapValues(
      chainableFunctions,
      (f) => (...args) => {
        // lodash always puts input as the first argument
        value = f(value, ...args);
        return wrapper;
      },
    ),
    value: () => value,
  };
  return wrapper;
};

Tests:

chain
console.log( chain(data) // Group the elements of Array based on `color` property .groupBy("color") // `key` is group's name (color), `value` is the array of objects .map((value, key) => ({ color: key, users: value })) .value() );
custom
var custom = (x) => { var group = _.groupBy(x, 'color'); return _.map(_.entries(group), ([ color, val ]) => ({ color, val })) } console.log(custom(data))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
chain
custom

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

**What is being tested?**

The provided JSON represents two benchmark test cases for the `lodash` JavaScript library. The tests measure the performance of two different approaches to group an array of objects by a specific property.

**Approach 1: Using `_.groupBy()`**

The first approach uses the `_.groupBy()` method from `lodash` to group the elements of the `data` array based on the `color` property. The resulting groups are then mapped to an array of objects with `color` and `users` properties.

**Approach 2: Using a custom function (`custom`)**

The second approach defines a custom function, `custom`, which uses `_.groupBy()` under the hood to group the elements of the `data` array based on the `color` property. The resulting groups are then mapped to an array of objects with `color` and `val` properties.

**Options being compared**

The two approaches are compared in terms of performance, execution time, and possibly other factors such as memory usage or code complexity.

**Pros and Cons of each approach:**

* **_.groupBy()**: Pros:
	+ Built-in method from a widely-used library (`lodash`)
	+ Easy to use and understand
	+ May be optimized for performance by the library
* Cons:
	+ May have limitations in terms of customization or flexibility
	+ May not be as efficient as a custom implementation for very large datasets
* **Custom function (`custom`)**: Pros:
	+ Highly customizable and flexible
	+ Can potentially be optimized for specific use cases or datasets
	+ May be more efficient than the built-in `_.groupBy()` method for very large datasets
* Cons:
	+ Requires more code and expertise to implement correctly
	+ May have a performance overhead due to function creation and call overhead

**Library: `_` (Lodash)**

The library being used is Lodash, a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, object transformation, and functional programming.

**Special JS feature or syntax:**

There are no special features or syntax mentioned in the provided code. However, it's worth noting that `_.groupBy()` and other `lodash` methods rely on the concept of "currying" (function composition), which can be a powerful tool for building modular and reusable functions.

**Other alternatives:**

Other alternatives to these approaches might include:

* Using a different library or framework that provides similar functionality, such as Moment.js for date manipulation or jQuery for DOM manipulation.
* Implementing custom grouping logic using plain JavaScript, without relying on external libraries.
* Using alternative data structures, such as a Map or an object with nested properties, to group the data.

Overall, the choice of approach depends on the specific requirements and constraints of the project, including performance considerations, code complexity, and flexibility.

Related benchmarks:

lodash chain11 (version: 0)

Comparing performance of: chain vs custom

Created: 2 years ago by: Guest

Jump to the latest result

chain

custom

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):