Benchmark: lambdas-noinline-fun-creation

Script Preparation code:

var x = [];
for(i=0; i<1000; i++){
	x.push(i)
}
function justReturn(item) { return item }

Tests:

lambda (created each time)
let y = []; function justReturn2(item) { return item } for(i=0; i<1000; i++){ y[i] = justReturn2(x[i]) }
lambda (created once)
let y = []; for(i=0; i<1000; i++){ y[i] = justReturn(x[i]) }
no lambda
let z = []; for(i=0; i<1000; i++){ z[i] = x[i] }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lambda (created each time)
lambda (created once)
no lambda

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'll break down the benchmark and explain what's being tested, compared, and its pros/cons.

**Benchmark Overview**

The test measures the performance of JavaScript microbenchmarks, specifically focusing on three different approaches:

1. Creating a new function (lambda) each time it's executed
2. Creating a single function once, reusing it throughout the benchmark
3. Not using any lambda functions at all

**Test Cases**

There are three individual test cases:

### 1. "lambda (created each time)"

```json
"Benchmark Definition": "let y = [];\r\nfunction justReturn2(item) { return item }\r\nfor(i=0; i<1000; i++){\r\n\ty[i] = justReturn2(x[i])\t\r\n}",
```

In this test, a new function `justReturn2` is created each time it's executed. This approach has the following pros and cons:

Pros:

* Each execution is independent, making it easier to analyze performance
* No shared state between executions

Cons:

* Creates a new function object every time, which can lead to increased memory usage and garbage collection overhead
* May result in slower performance due to the overhead of creating a new function

### 2. "lambda (created once)"

```json
"Benchmark Definition": "let y = [];\r\nfor(i=0; i<1000; i++){\r\n\ty[i] = justReturn(x[i])\t\r\n}",
```

In this test, the `justReturn` function is created only once and reused throughout the benchmark. This approach has the following pros and cons:

Pros:

* Reduces memory usage and garbage collection overhead compared to creating a new function each time
* Can result in better performance due to reduced overhead

Cons:

* Shared state between executions can lead to unexpected behavior if not handled correctly
* May be slower due to the need to access external variables (e.g., `x`)

### 3. "no lambda"

```json
"Benchmark Definition": "let z = [];\r\nfor(i=0; i<1000; i++){\r\n\tz[i] = x[i]\t\r\n}",
```

In this test, no lambda functions are used at all. This approach has the following pros and cons:

Pros:

* No memory usage or garbage collection overhead
* May result in better performance due to reduced overhead

Cons:

* No independence between executions (shared state)
* May not be representative of real-world scenarios that often rely on lambda functions

**Library: none**

There is no external library used in these test cases.

**Special JS feature/syntax: none**

The only special JavaScript syntax used here is the `let` keyword for declaring variables and the `for...of` loop for iterating over arrays (not applicable in this case).

**Other alternatives**

Other approaches to measuring performance could include:

* Using a more complex benchmark that incorporates multiple factors, such as parallel execution or caching
* Using a different programming language or framework to measure performance
* Using a profiling tool or IDE plugin to analyze performance

Keep in mind that the specific approach used here is designed to isolate the impact of lambda functions on performance.

Related benchmarks:

lambdas-noinline-fun-creation (version: 0)

Comparing performance of: lambda (created each time) vs lambda (created once) vs no lambda

Created: 5 years ago by: Guest

Jump to the latest result

lambda (created each time)

lambda (created once)

no lambda

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):