Benchmark: If/Push or Map/Filter

HTML Preparation code:

<!--your preparation HTML code goes here-->

Script Preparation code:

var n = Array.from(new Array(10000)).map((value, index) => index);

Tests:

If/Push
var result = []; n.forEach((value) => { if (value % 2) { result.push(value); } });
Map/Filter
var result = n.map((value) => { return value % 2 ? value : 0; }); result = result.filter(value => value !== 0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
If/Push
Map/Filter

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36

Browser/OS: Chrome 135 on Windows

View result in a separate tab

Test name	Executions per second
If/Push	40624.8 Ops/sec
Map/Filter	5637.1 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated 2 days ago):

LLMs can make mistakes. Check important info.

In the provided benchmark definition, two approaches for creating a filtered array from a sequence of numbers are compared: **If/Push** and **Map/Filter**. The benchmark tests the performance of both methods by measuring how many times each method can be executed within a second. Here’s a breakdown of each approach, a comparison of their pros and cons, and some alternatives.

### Approaches Tested

1. **If/Push**
   - **Method**: This approach uses the `forEach` method to iterate through each element of `n`, checks if the element is odd (using `if (value % 2)`), and, if true, pushes it to the `result` array.
   - **Script**: 
     ```javascript
     var result = [];
     n.forEach((value) => {
         if (value % 2) { 
             result.push(value); 
         }
     });
     ```
   - **Performance**: It achieved approximately **40,625 executions per second**.

2. **Map/Filter**
   - **Method**: This approach first maps each element of `n` to either the element itself if it is odd or `0` if it is even. Then it filters out the `0` values from the resulting array.
   - **Script**: 
     ```javascript
     var result = n.map((value) => {
         return value % 2 ? value : 0;
     });
     result = result.filter(value => value !== 0);
     ```
   - **Performance**: It resulted in around **5,637 executions per second**.

### Comparison of Approaches

#### Pros and Cons

- **If/Push**
  - **Pros**:
    - Simple and straightforward to understand.
    - Performs better in this benchmark, especially for larger datasets, as it avoids additional overhead from creating another array.
  - **Cons**: 
    - May lead to code that's less functional in style; mutates state by modifying the `result` array directly.

- **Map/Filter**
  - **Pros**:
    - Functional programming style, which may make code more readable and maintainable.
    - Maintains immutability (the original data is not altered) which is preferred in many programming practices.
  - **Cons**:
    - Performance is significantly lower than If/Push due to the creation of two separate arrays (one from `map` and one from `filter`) and also incurs the cost of extra iterations through the data.
    - The intermediate zeroes get added before the filtering step, which is not necessary if a straightforward condition-based collection (like If/Push) is used.

### Other Considerations

- **Clarity vs. Performance**: Depending on the context (e.g., code readability, maintainability, or performance-critical applications), developers may choose different approaches. It’s crucial to balance clarity and performance based on the project requirements.
  
- **Context and Use Case**: If the data size grows significantly, understanding performance implications becomes critical. In high-performance applications (such as real-time data processing), one would generally lean towards the more performant solution (If/Push).

### Alternatives

1. **Using `reduce()`**: Another method would be using the `reduce()` function to achieve the same goal in a single iteration. This combines mapping and filtering into one pass, and while it can be more elegant, its performance may vary based on the JavaScript engine implementation.
   ```javascript
   var result = n.reduce((acc, value) => {
       if (value % 2) {
           acc.push(value);
       }
       return acc;
   }, []);
   ```

2. **Using `filter()` with a simpler predicate**: Instead of using `map` followed by `filter`, you could directly use `filter` with a more complex predicate. However, this does not fit the specific benchmarking scenario that focuses on creating new arrays.

In conclusion, this benchmark highlights the performance differences between more imperative and functional programming approaches to array manipulation with JavaScript, providing useful insights into scenarios where performance is critical.

Related benchmarks:

If/Push or Map/Filter (version: 1)

Create a filtred array using forEach/if/push or map/filter

Comparing performance of: If/Push vs Map/Filter

Created: 2 days ago by: Guest

Jump to the latest result

If/Push

Map/Filter

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated 2 days ago):