Benchmark: Reduce vs Filter/Map vs Map/Filteraaaaa

Script Preparation code:

const a = { 
    "l63yslms": {
        "id": "l63yslms",
        "value": "o",
        "name": "one",
        "description": "o",
        "url": [
            "o"
        ],
        "lastModifiedAt": 1658947984956
    },
    "l63yupx0aasssa": {
        "id": "l63yupx0",
        "value": "s",
        "name": "two",
        "description": "s",
        "url": [
            "o"
        ],
        "lastModifiedAt": 1658948082168
    },
    "l6asssa": {
        "id": "l63yupx0",
        "value": "s",
        "name": "two",
        "description": "s",
        "url": [
            "o"
        ],
        "lastModifiedAt": 1658948082168
    },
    "l63yupx0ssaasssa": {
        "id": "l63yupx0",
        "value": "s",
        "name": "two",
        "description": "s",
        "url": [
            "o"
        ],
        "lastModifiedAt": 1658948082168
    },
    "l63yupx0aaa": {
        "id": "l63yupx0",
        "value": "s",
        "name": "two",
        "description": "s",
        "url": [
            "o"
        ],
        "lastModifiedAt": 1658948082168
    }
  ,
    "l63yupx0sss": {
        "id": "l63yupx0",
        "value": "s",
        "name": "thre",
        "description": "s",
        "url": [
            "p"
        ],
        "lastModifiedAt": 1658948082168
    }
}

Tests:

Reduce
const newObj = Object.values(a).reduce((newObj, val) => { if (val.url.includes('o')) { newObj.push(val.name) } return newObj; },[])
Filter/Map
const b = Object.values(a).filter(val => val.url.includes('o')).map(obj => obj.name)
Map/Filter
const c = ()=>{ let duplicates= []; Object.keys(a).map((key) => { if (a[key].url.includes('o')) { duplicates.push(a[key].name); } }); return duplicates ; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Reduce
Filter/Map
Map/Filter

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.

**Overview of the Benchmark**

The provided JSON represents a JavaScript microbenchmark test case, where three different approaches (Reduce, Filter/Map, and Map/Filter) are compared to achieve a common goal: extracting specific values from an object.

**Approaches Compared**

1. **Reduce**: The Reduce approach uses the `Array.prototype.reduce()` method to iterate over the object's values and push matching names into a new array.
2. **Filter/Map**: The Filter/Map approach uses both `Array.prototype.filter()` and `Array.prototype.map()` methods in sequence to achieve the same result as Reduce.
3. **Map/Filter**: The Map/Filter approach uses `Array.prototype.map()` first, mapping each value to its name, and then uses `Array.prototype.filter()` to remove non-matching values.

**Pros and Cons of Each Approach**

1. **Reduce**:
	* Pros: Efficient for small to medium-sized arrays, as it avoids unnecessary iterations.
	* Cons: Less readable, and can be slow for large arrays due to its iterative nature.
2. **Filter/Map**:
	* Pros: More readable than Reduce, and can handle large arrays efficiently by using two optimized methods in sequence.
	* Cons: Requires two additional method calls, which can add overhead.
3. **Map/Filter**:
	* Pros: Efficient for large arrays, as it uses `Array.prototype.map()` to transform values before filtering them out.
	* Cons: Less readable than Filter/Map due to the use of Map and then Filter.

**Library Used**

None, as all test cases rely on built-in JavaScript methods (`Object.values()`, `Array.prototype.reduce()`, `Array.prototype.filter()`, and `Array.prototype.map()`).

**Special JS Features or Syntax**

There are no special JS features or syntax used in these benchmark test cases. They only utilize standard JavaScript methods and objects.

**Alternative Approaches**

Some alternative approaches that could be considered for achieving the same result include:

* Using a custom loop with index-based iteration
* Utilizing a library like Lodash (e.g., `_.reduce()` or `_filter()`)
* Employing more functional programming techniques, such as using `Array.prototype.reduceRight()` and combining results

However, these approaches are not included in the original benchmark test case.

Related benchmarks:

Reduce vs Filter/Map vs Map/Filteraaaaa (version: 0)

Comparing performance of: Reduce vs Filter/Map vs Map/Filter

Created: 3 years ago by: Guest

Jump to the latest result

Reduce

Filter/Map

Map/Filter

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):