Benchmark: AAAASSD - MeasureThat.net

Tests:

Destructure
const OPTS = { host: 1 }; const { host } = OPTS;
Access
const OPTS = { host: 1 }; const host = OPTS.host;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Destructure
Access

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.192 Safari/537.36

Browser/OS: Chrome 88 on Mac OS X 10.14.6

View result in a separate tab

Test name	Executions per second
Destructure	849242944.0 Ops/sec
Access	854371264.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down what's happening in this benchmarking scenario.

**Benchmark Definition and Preparation**

The provided JSON represents the basic structure of a JavaScript microbenchmark. Here's what it tests:

* The script preparation code is empty, which means that no setup or initialization code is executed before running the benchmark.
* The HTML preparation code is also empty, suggesting that no HTML-related code is executed before running the benchmark.

**Options Compared**

The two test cases compare different ways of accessing a value in an object. The options being compared are:

1. **Destructuring**: `const { host } = OPTS;` (Test Name: "Destructure")
2. **Accessing directly**: `const host = OPTS.host;` (Test Name: "Access")

**Pros and Cons of Each Approach**

* **Destructuring**: This approach is often considered more readable and concise, especially when working with complex objects or data structures. It can also help avoid typos or mistakes in the code.
	+ Pros:
		- More concise
		- Less prone to typos
		- Can be more expressive (e.g., `const { host } = OPTS;` implies that we're only interested in the `host` property)
	+ Cons:
		- May be slower due to the function call overhead
		- Requires a modern JavaScript engine that supports destructuring (most do, though)
* **Accessing directly**: This approach is often considered more straightforward and explicit.
	+ Pros:
		- Often faster due to the lack of function call overhead
		- Works with older JavaScript engines that don't support destructuring
	+ Cons:
		- Can be less readable or concise, especially for complex objects
		- More prone to typos or mistakes (e.g., `const host = OPTS;` without the dot notation)

**Library and Special JS Feature**

There is no library mentioned in this benchmark. However, note that some JavaScript engines might have specific features or optimizations enabled by default.

**Other Considerations**

When writing benchmarks like this, it's essential to consider factors such as:

* **Variable scope**: How do different variable scopes (e.g., global, local) affect the performance of each approach?
* **Array and object sizes**: How do changes in array or object size affect the performance of each approach?
* **Browser and engine variations**: How do different browsers, JavaScript engines, and operating systems impact the results?

**Alternatives**

If you were to rewrite this benchmark with alternative approaches, here are some options:

1. **Use `in` operator instead of dot notation**: `const host in OPTS && console.log(host);`
2. **Compare with a "null" or "undefined" case**: Measure performance when accessing a property that is expected to be null or undefined.
3. **Add more test cases**: Consider testing other ways of accessing properties, such as using a property access method (e.g., `OPTS.host`) instead of destructuring.

Keep in mind that the goal of benchmarking is to identify performance differences between different approaches, so choose alternatives that align with your research question or hypothesis.

Related benchmarks:

AAAASSD (version: 0)

ASDAS

Comparing performance of: Destructure vs Access

Created: 3 years ago by: Guest

Jump to the latest result

Destructure

Access

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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