Benchmark: lodash map - MeasureThat.net

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/3.10.1/lodash.js"></script>

Script Preparation code:

var arr = [];
for(let i=0; i < 100; i++){
    arr.push({
        object: { id: _.random(0, 5) }
    });
}
var getProp = _.memoize(function(propString){
    const props = propString.split('.');
    return (val) => _.reduce(props, (val, prop) => prop in val ? val[prop] : undefined, val);
});

Tests:

Arrow Function filter
_.map(arr, (i) => i.object.id);
Prop
_.map(arr, 'object.id')
Memoized
_.map(arr, getProp('object.id'))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Arrow Function filter
Prop
Memoized

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.

I'll break down the provided benchmark and its components.

**Benchmark Overview**

The benchmark measures the performance of the `_.map()` function from the Lodash library on an array of objects. The test creates an array with 100 objects, each containing an "id" property. It then defines a memoized getter function using `_memoize()` that takes a string representing the path to the desired property.

**Options Compared**

The benchmark compares three different approaches:

1. **Arrow Function Filter**: `_.map(arr, (i) => i.object.id)`
	* Pros: concise and readable code; arrow functions are often faster than traditional functions.
	* Cons: may not be as efficient due to function creation overhead.
2. **Prop Access**: `_.map(arr, 'object.id')`
	* Pros: straightforward and easy to read; Lodash's prop access is optimized for performance.
	* Cons: uses a string to represent the property path, which might lead to slower execution times.
3. **Memoized Getter**: `_.map(arr, getProp('object.id'))`, where `getProp` is a memoized getter function
	* Pros: can provide significant performance benefits due to caching; Lodash's memoization mechanism is optimized for efficiency.
	* Cons: requires defining the memoized getter function beforehand.

**Lodash Library**

The benchmark uses the Lodash library, which provides a set of utility functions for functional programming. In this case, `_.map()` and `_memoize()` are used to perform array transformations and create memoized getters, respectively.

**Special JS Features or Syntax**

None mentioned in the provided code snippet. However, it's worth noting that arrow functions were introduced in ECMAScript 2015 (ES6) and have become a popular way to write concise and readable code.

**Benchmark Preparation Code**

The script preparation code creates an array of objects with 100 elements each, using `for` loop. The `getProp` function is defined using `_memoize()`, which takes a string representing the property path and returns a memoized getter function. This function is then used in the benchmark to access the "id" property.

**Alternative Approaches**

Other approaches that could be used to measure the performance of the Lodash `_.map()` function might include:

* Using a traditional function instead of an arrow function
* Using a different library or implementation for memoization
* Comparing the performance with and without caching
* Measuring the performance on different types of data structures (e.g., arrays, objects, linked lists)

Keep in mind that the chosen approach will depend on the specific requirements and use cases for the benchmark.

Related benchmarks:

lodash map (version: 1)

Comparing performance of: Arrow Function filter vs Prop vs Memoized

Created: 8 years ago by: Registered User

Jump to the latest result

Arrow Function filter

Prop

Memoized

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):