Benchmark: Object keys as array - remove first

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var AssetCategory = {
  NONE3: 'NONE3',
  AVESSEL23: 'VESSEL23',
  NONE4: 'NONE3',
  AVESSEL24: 'VESSEL23',
}

Tests:

Lo
_(AssetCategory).omit([AssetCategory.NONE3]).values().value()
Filter / Map
Object.keys(AssetCategory).filter(x => x !== AssetCategory.NONE3);
Map / Delete
var map = new Map(Object.entries(AssetCategory)); map.delete("NONE3") Array.from(map.keys());
Reduce
Object.keys(AssetCategory) .reduce( (res, x, i) => { if(x !== 'NONE3') { res.push(x); } return res; }, [] );
Slice
Object.keys(AssetCategory).slice(1)
Yielder
function *magic(col, token) { for(var i = 0; i < col.length; i++) { if(col[i] !== token) { yield col[i]; } } } Array.from(magic(Object.keys(AssetCategory), 'NONE3'));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lo
Filter / Map
Map / Delete
Reduce
Slice
Yielder

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its individual test cases.

**Benchmark Overview**

The benchmark measures how different approaches can be used to remove a specific key ("NONE3") from an object (`AssetCategory`). The goal is to determine which method is the fastest.

**Options Compared**

There are six test cases:

1. **Slice**: Using the `slice()` method to extract an array of keys, starting from index 1 (skipping "NONE3").
2. **Reduce**: Using the `reduce()` method to create a new array with only the keys that don't match "NONE3".
3. **Filter/Map**: Combining the `filter()` and `map()` methods to remove "NONE3" from the object's keys.
4. **Map/Delete**: Creating a new Map from the object's entries, deleting the key-value pair for "NONE3", and then iterating over the remaining keys.
5. **Yielder**: Using a generator function to iterate over the keys, skipping "NONE3".
6. **Lo** (no clear name): This test case seems to be a baseline or a reference point, as its benchmark result is not comparable to the others.

**Pros and Cons of Each Approach**

1. **Slice**: Fast, but it requires knowing the index of the key to skip.
	* Pros: Simple and efficient.
	* Cons: May not work for objects with dynamic keys or large numbers of entries.
2. **Reduce**: Can be slow if the accumulator object is large or complex.
	* Pros: Flexible and works well with large datasets.
	* Cons: May have performance issues due to the overhead of creating an accumulator object.
3. **Filter/Map**: Can be slower than other approaches, as it involves multiple method calls.
	* Pros: Easy to understand and implement.
	* Cons: May not be as efficient as other methods.
4. **Map/Delete**: Creates a new Map, which can be memory-intensive.
	* Pros: Efficiently removes the key-value pair.
	* Cons: Can consume more memory than other approaches.
5. **Yielder**: Uses a generator function, which can be slower due to the overhead of creating and managing generators.
	* Pros: Easy to understand and implement.
	* Cons: May not be as efficient as other methods.

**Libraries Used**

The benchmark uses Lodash (version 4.17.4), specifically the `omit()` method, which is used in one of the test cases (`Filter/Map`).

**Special JS Feature or Syntax**

There are no special JavaScript features or syntaxes mentioned in the benchmark.

**Other Alternatives**

Other approaches to remove a key from an object might include:

* Using a regular expression to filter out specific keys
* Utilizing `Object.fromEntries()` and then filtering the resulting array of key-value pairs
* Employing a custom function to manipulate the object's properties directly

Keep in mind that the optimal approach may depend on the specific requirements and constraints of your project.

Related benchmarks:

Object keys as array - remove first (version: 0)

Comparing performance of: Lo vs Filter / Map vs Map / Delete vs Reduce vs Slice vs Yielder

Created: 6 years ago by: Guest

Jump to the latest result

Lo

Filter / Map

Map / Delete

Reduce

Slice

Yielder

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):