Benchmark: Testing array normalizastion

Script Preparation code:

Array.from(Array(10).keys()).map((i) => ({
  id: i+1,
  name: 'Bar',
  asd: 123123
}));

Array.from(Array(5).keys()).map((i) => ({
  id: i+5,
  title: 'Bar',
  age: 12
}));

Tests:

Object based
const normalizeLiveUpdateData = ( newData, oldaData ) => { if (!oldAnnotations) return newAnnotations; const ids = []; const data = {}; oldAnnotations.forEach((a) => { ids.push(a.id); data[a.id] = a; }); newAnnotations.forEach((a) => { if (ids.indexOf(a.id) !== -1) { data[a.id] = a; } else { ids.push(a.id); data[a.id] = a; } }); return ids.map(id => data[id]); };
Array based
const normalizeLiveUpdateData = ( newAnnotations, oldAnnotations) => { if (!oldAnnotations) return newAnnotations; let normalizedAnnotations = oldAnnotations; newAnnotations.forEach((newAnnotation) => { const existingAnnotation = oldAnnotations.find((oldAnnotation) => oldAnnotation.id === newAnnotation.id); if (existingAnnotation) { normalizedAnnotations = normalizedAnnotations.map(obj => newAnnotations.find(o => o.id === obj.id) || obj); } else { normalizedAnnotations.push(newAnnotation); } }); return normalizedAnnotations; };

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Object based
Array based

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks!

**Benchmark Definition**

The provided JSON represents a benchmark definition, which outlines the scenario to be tested. In this case, it tests array normalization.

**Script Preparation Code**

The script preparation code generates two arrays of objects:

```javascript
Array.from(Array(10).keys()).map((i) => ({ id: i+1, name: 'Bar', asd: 123123 })); // Array of 10 objects with 'id' and other properties
Array.from(Array(5).keys()).map((i) => ({ id: i+5, title: 'Bar', age: 12 })); // Array of 5 objects with 'id' and other properties
```

These arrays represent two separate datasets: `oldAnnotations` (10 objects) and `newAnnotations` (5 objects).

**Html Preparation Code**

There is no HTML preparation code provided.

**Individual Test Cases**

The benchmark consists of two individual test cases:

1. **Object-based**: This test case uses an object literal to compare the normalization logic between two functions, `normalizeLiveUpdateData`. The function takes two parameters: `newAnnotations` and `oldAnnotations`.

```javascript
const normalizeLiveUpdateData = (newAnnotations, oldAnnotations) => {
  // ...
};
```

This implementation iterates through both arrays and updates existing annotations in the `oldAnnotations` array based on matching IDs.

2. **Array-based**: This test case uses an array literal to compare the normalization logic between two functions, also named `normalizeLiveUpdateData`. The function takes two parameters: `newAnnotations` and `oldAnnotations`.

```javascript
const normalizeLiveUpdateData = (newAnnotations, oldAnnotations) => {
  // ...
};
```

This implementation iterates through both arrays and updates existing annotations in the `oldAnnotations` array based on matching IDs.

**Pros and Cons of Each Approach**

1. **Object-based**: This approach uses object literals to define the functions. The pros are that it provides better readability and maintainability, as the logic is clearly defined within the function signature. However, the cons are that it may lead to slower execution due to the overhead of creating objects.
2. **Array-based**: This approach uses array literals to define the functions. The pros are that it can lead to faster execution, as arrays can be optimized for performance. However, the cons are that it may lead to less readable code, making it harder to understand the logic.

**Library and Syntax Considerations**

There is no explicit library mentioned in the benchmark definition or test cases. However, the use of `find()` and `map()` methods suggests that the test uses modern JavaScript features.

**Special JS Feature/Syntax (Not Applicable)**

No special JavaScript feature or syntax is used in this benchmark.

**Other Alternatives**

For array normalization benchmarks, you may also consider testing:

* Array concatenation instead of iteration
* Using a library like Lodash to normalize arrays
* Testing with different data structures, such as linked lists or trees
* Comparing the performance of different sorting algorithms (e.g., bubble sort, insertion sort)
* Testing with larger datasets to observe scalability

Keep in mind that these alternatives may not be directly relevant to the specific use case of array normalization, but they can provide valuable insights into general performance optimization techniques.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 11_0) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.0 Safari/605.1.15

Browser/OS: Safari 14 on Mac OS X 11.0

View result in a separate tab

Test name	Executions per second
Object based	293671424.0 Ops/sec
Array based	294517088.0 Ops/sec

Related benchmarks:

Testing array normalizastion (version: 0)

Comparing performance of: Object based vs Array based

Created: 4 years ago by: Guest

Jump to the latest result

Object based

Array based

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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