Benchmark: For_Oksana - MeasureThat.net

Script Preparation code:

const users = [];
const r = [];

for (let i = 0; i < 1000000; i++) {
    users.push({
        name : (Math.random() + 1).toString(36).substring(7),
        isVerified : (Math.random() < 0,5)
    })
}

Tests:

A
const exportVerifiedUsers = users => { return users.filter(u => u.isVerified).map(u => u.name).join(', ') }
B
const exportVerifiedUsers = users => {users.forEach(u => {if (u.isVerified) {r.push(u.name)}}); return r.join(', '); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
A
B

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what is being tested, compared, and their pros and cons.

**Benchmark Definition**

The benchmark definition represents a JavaScript function that filters an array of objects (`users`) based on a specific condition (`isVerified`). The two functions are identical in syntax but differ in how they iterate through the `users` array:

1. **Function A**:
```javascript
const exportVerifiedUsers = users => {
  return users.filter(u => u.isVerified).map(u => u.name).join(', ');
}
```
This function uses the `filter()` method to create a new array with only the elements that pass the test (i.e., `isVerified` is true). Then, it uses the `map()` method to transform each element into its name (`u.name`). Finally, it joins the resulting names into a single string using the `join()` method.

2. **Function B**:
```javascript
const exportVerifiedUsers = users => {
  users.forEach(u => {
    if (u.isVerified) { r.push(u.name) }
  });
  return r.join(', ');
}
```
This function uses the `forEach()` method to iterate through each element in the `users` array. For each element, it checks if `isVerified` is true and pushes the corresponding name (`u.name`) into an array (`r`). Finally, it joins the resulting names into a single string using the `join()` method.

**Comparison**

The two functions are being compared to see which one performs better in terms of execution speed. The benchmark definition only includes these two identical functions, so we can infer that the comparison is between the two approaches:

* **Function A**: uses `filter()` and `map()` methods, which are more concise but may have performance overhead due to the creation of intermediate arrays.
* **Function B**: uses a traditional loop with an array (`r`) to push elements, which may be slower than the concise approach of Function A.

**Pros and Cons**

1. **Function A**:
	* Pros: concise, easy to read, and maintain.
	* Cons: may have performance overhead due to intermediate arrays.
2. **Function B**:
	* Pros: traditional loop can be more readable for some developers.
	* Cons: slower than Function A due to the creation of an additional array (`r`).

**Library/Tool Considerations**

There are no specific libraries or tools mentioned in the benchmark definition.

**Special JS Features/Syntax Considerations**

Neither function uses any special JavaScript features or syntax, so there's nothing to mention here.

**Alternatives**

If you were to write this benchmark with different approaches, some alternatives could be:

* **Using a more efficient data structure**: Instead of using an array (`r`), you could use a Set or a Map to store the filtered elements.
* **Using SIMD instructions**: If your JavaScript engine supports SIMD (Single Instruction, Multiple Data) instructions, you could parallelize the filtering and mapping operations using SIMD.
* **Compiling the code**: You could try compiling the JavaScript code to machine code before execution to see if it improves performance.

Keep in mind that these alternatives may not be applicable or relevant for this specific benchmark.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36

Browser/OS: Chrome 109 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
A	1013907328.0 Ops/sec
B	1014278208.0 Ops/sec

Related benchmarks:

For_Oksana (version: 0)

Comparing performance of: A vs B

Created: one year ago by: Guest

Jump to the latest result

A

B

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):