Benchmark: test perf - MeasureThat.net

Script Preparation code:

var selectedValues = [{
    id: 1
}, {
    id: 2
}, {
    id: 3
}, {
    id: 4
}, {
    id: 5
}, {
    id: 6
}, {
    id: 7
}, {
    id: 8
}, {
    id: 9
}, {
    id: 10
}, {
    id: 11
}, {
    id: 12
}, {
    id: 13
}, {
    id: 14
}, {
    id: 15
}, {
    id: 1
}, {
    id: 2
}, {
    id: 1
}, {
    id: 5
}, {
    id: 6
}, {
    id: 5
}, {
    id: 2
} ];

var nested = [
{
    id: 12
}, {
    id: 2
}, {
    id: 3
}, {
    id: 4
}, {
    id: 5
}, {
    id: 6
}, {
    id: 7
}, {
    id: 8
}, {
    id: 9
}, {
    id: 10
}, {
    id: 11
}, {
    id: 12
}, {
    id: 13
}, {
    id: 14
}, {
    id: 15
}, {
    id: 2
}, {
    id: 5
}, {
    id: 6
}, {
    id: 5
}, {
    id: 2
}];

Tests:

my
nested.map(item => { selectedValues = selectedValues.filter(value => item.id !== value.id); });
other
const ids = nested.map(item => item.id); selectedValues = selectedValues.filter(item => ids.indexOf(item.id) === -1);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
my
other

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 what's being tested on the provided JSON.

**Benchmark Definition**

The benchmark is designed to measure the performance of JavaScript code that filters an array using the `map()` method and then uses the resulting array to filter another array again.

**Options compared**

There are two options being compared:

1. **Option 1**: The first benchmark definition uses the `map()` method to transform the `selectedValues` array, removes values from it based on a condition, and then assigns the result back to the `selectedValues` variable.
2. **Option 2**: The second benchmark definition uses the `map()` method to extract IDs from the `nested` array, and then uses this resulting array to filter the `selectedValues` array.

**Pros and Cons**

* **Option 1:**
	+ Pros:
		- Only requires a single call to `map()`, which can be optimized by the JavaScript engine.
		- Does not require creating an intermediate array.
	+ Cons:
		- Requires reassigning the `selectedValues` variable, which may incur additional overhead.
* **Option 2:**
	+ Pros:
		- Does not require reassigning the `selectedValues` variable, which can reduce overhead.
		- Allows for easier debugging and understanding of the code flow.
	+ Cons:
		- Requires two separate calls to `map()`, which may be slower due to increased overhead.

**Library usage**

None of the benchmark definitions explicitly uses a library. However, it's worth noting that the `map()` method is a built-in JavaScript function.

**Special JS features or syntax**

There are no special JavaScript features or syntax used in either benchmark definition.

**Other considerations**

* The benchmark does not account for other factors that might affect performance, such as array length, data type, or specific hardware characteristics.
* The `filter()` method is used in both options, which can be optimized by the JavaScript engine if the condition is simple enough.

**Alternatives**

If you wanted to test alternative approaches, you could consider the following:

1. Using other filtering algorithms, such as `reduce()` or a custom implementation using loops.
2. Comparing the performance of different data structures, such as arrays vs. objects vs. sets.
3. Testing the impact of various optimizations, such as caching or memoization.

Keep in mind that these alternatives would require significant changes to the benchmark definition and setup.

Related benchmarks:

test perf (version: 0)

Comparing performance of: my vs other

Created: 5 years ago by: Guest

Jump to the latest result

my

other

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):