Benchmark: Filter options - MeasureThat.net

Script Preparation code:

var arr = [
  {
    foo: false,
  },
  {
    foo: false,
  },
  {
    foo: false,
  },
  {
    foo: false,
  },
  {
    foo: false,
  },
  {
    foo: true,
  },
  {
    foo: true,
  },
  {
    foo: true,
  },
  {
    foo: true,
  },
  {
    foo: true,
  },
]

Tests:

for
var bar = []; for(i=0; i < arr.length; i++){ if (arr[i].foo) { bar = [...bar, arr[i]] } }
filter
var bar = arr.filter(function (i) { return i.foo; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
for
filter

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.

I'd be happy to explain what's tested in the provided JSON and help you understand the different approaches compared.

**Benchmark Definition**

The benchmark is designed to compare the performance of two approaches: using a `for` loop and using the `filter()` method.

**Script Preparation Code**

The script preparation code defines an array `arr` containing 11 objects, each with a `foo` property. Some objects have `foo` set to `false`, while others have it set to `true`.

**Html Preparation Code**

There is no HTML preparation code provided.

**Individual Test Cases**

There are two test cases:

1. **"for"`**
The benchmark definition for this test case uses a `for` loop to iterate over the array and push objects with `foo` set to `true` into a new array `bar`.
2. **"filter"`**
The benchmark definition for this test case uses the `filter()` method to create a new array `bar` containing only the objects from the original array that have `foo` set to `true`.

**Library Used**

In both test cases, the JavaScript `Array.prototype.filter()` method is used.

**Pros and Cons of Each Approach**

1. **"for"`**
Pros:
	* Can be more efficient in some cases because it avoids the overhead of the `filter()` method.
	* Allows for better control over iteration variables.
Cons:
	* Can be slower than the `filter()` method for large arrays because it uses a loop and can cause unnecessary iterations.
2. **"filter"`**
Pros:
	* More concise and easier to read, especially for larger datasets.
	* Avoids the need to manually iterate over the array.
Cons:
	* May be slower than the `for` loop approach due to the overhead of the `filter()` method.
	* Can cause unnecessary iterations if the callback function is expensive or memory-intensive.

**Other Considerations**

In addition to performance considerations, another important aspect to consider when choosing between these approaches is readability and maintainability. The `for` loop approach may be more readable for developers who are not familiar with the `filter()` method, while the `filter()` method approach can be more concise and expressive for those who are.

**Alternatives**

If you wanted to add more test cases or variations to the existing ones, some alternative approaches could include:

* Using other array methods like `forEach()`, `map()`, or `reduce()`.
* Implementing a custom filtering algorithm using bitwise operations or other techniques.
* Using a library like Lodash's `filter()` method, which can provide additional optimizations and features.

In summary, the benchmark is designed to compare the performance of two common array iteration approaches: using a `for` loop and using the `filter()` method. While both approaches have their pros and cons, the `filter()` method approach may be more concise and expressive, but could also be slower for large datasets due to the overhead of the `filter()` method.

Related benchmarks:

Filter options (version: 0)

Comparing performance of: for vs filter

Created: 6 years ago by: Registered User

Jump to the latest result

for

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):