Benchmark: Noop vs new arrow function

Script Preparation code:

window.noop = () => {};
window.functionWithCallback = (callback) => {
  console.log('a');
  callback();
}

Tests:

Noop
functionWithCallback(noop);
New arrow function
functionWithCallback(() => {});

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Noop
New arrow function

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 the provided JSON and understand what's being tested.

**Benchmark Definition**

The benchmark definition represents a small piece of JavaScript code that will be executed repeatedly to measure performance. In this case, we have two benchmarks:

1. `Noop`: This is an empty function defined as `window.noop = () => {};`. The name "noop" comes from the term "no operation," which refers to a dummy or placeholder operation that does nothing.
2. `New arrow function`: This represents a new arrow function, which is a shorthand way of defining small, anonymous functions using the `=>` operator.

**Script Preparation Code**

The script preparation code is executed before each benchmark run. In this case, we have two scripts:

1. `window.noop = () => {};`: This sets up an empty function called `noop`.
2. `window.functionWithCallback = (callback) => { console.log('a'); callback(); }`: This defines a function that takes a callback function as an argument and logs "a" to the console before calling the callback.

**Html Preparation Code**

The html preparation code is not provided in this example, so we'll assume it's empty.

**Test Cases**

We have two test cases:

1. `Noop`: This runs the `noop` function defined earlier.
2. `New arrow function`: This runs the new arrow function defined earlier.

Now, let's analyze the options being compared:

**Options:**

*   **Direct Function vs Arrow Function**: The benchmark compares the performance of calling a regular function (`window.noop`) to calling an arrow function (`() => {}`). The results show that the arrow function is slightly faster.
*   **No Callback vs With Callback**: The second set of tests compares the performance of running the `functionWithCallback` function with and without passing a callback function. In this case, there is no apparent difference in execution time.

**Pros and Cons:**

*   **Direct Function vs Arrow Function**:
    *   Pros: Arrow functions are often preferred for their concise syntax and readability. They can also provide a slight performance boost due to the lack of the `this` keyword lookup.
    *   Cons: If you need access to the `this` context in your function, using an arrow function may not be suitable.
*   **No Callback vs With Callback**:
    *   Pros: Passing a callback function can make the code more flexible and reusable. It also allows for decoupling of the producer (the function that performs some work) from the consumer (the function that uses the result).
    *   Cons: In this case, there doesn't seem to be any performance difference between running with and without a callback.

**Library or Special JS Feature:**

There is no explicit library being used in these benchmarks. However, it's worth noting that `window.noop` is a standard JavaScript construct (also known as a "no-op" function), which is widely supported across different browsers and environments.

If you want to test the performance of other libraries or special JS features, such as Promises, Async/Await, or Web Workers, you would need to adapt your benchmarks accordingly.

**Alternatives:**

Other alternatives for creating and running JavaScript microbenchmarks include:

*   **Benchmark.js**: A popular benchmarking library for JavaScript.
*   **JSM Bench**: A lightweight benchmarking framework specifically designed for JavaScript.
*   **Benchpress**: Another popular benchmarking library that supports a wide range of features.

These libraries often provide more advanced features and customization options compared to the simple JSON-based approach provided by MeasureThat.net.

Related benchmarks:

Noop vs new arrow function (version: 0)

Comparing performance of: Noop vs New arrow function

Created: 3 years ago by: Guest

Jump to the latest result

Noop

New arrow function

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):