Benchmark: aaaabbbnmmbhjhg - MeasureThat.net

Script Preparation code:

localStorage.setItem('foo', 'bar')
sessionStorage.setItem('foo', 'bar')

Tests:

2
var FOO = JSON.parse(localStorage.getItem('foo222'));
4
localStorage.setItem('foo222', JSON.stringify({'est should ideal': 'ly be wrapped in a user', ' gesture. Do not ask f': 'or persistent storage on pa', 'ge load, or in other bootstrap ': 'code, the browser may', ' prompt the us': 'er for permission. If the user isn', 't doing anything that the': 'y think needs to be saved, the prompt may be confusing,', ' and they': 'll likely reject the re', 'quest. Additionally, don': 't prompt too frequently. ', 'I': 'f the user decided not to'}))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
2
4

Fastest: N/A

Slowest: N/A

Latest 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 dive into the world of MeasureThat.net and analyze the provided benchmark.

**What is tested on the provided JSON?**

The benchmark tests the performance of two different approaches to handling the `JSON.parse()` method, specifically in the context of storing and retrieving data from local storage. The test cases compare the execution speed of these two methods:

1. Directly accessing stored data using `localStorage.getItem()`.
2. Using a custom function to parse and sanitize the stored data.

**Options compared**

The benchmark compares two options:

A) **Direct access**: This approach involves directly accessing the stored data in local storage using `localStorage.getItem()`. The test measures how fast this approach can execute.

B) **Custom parsing**: This approach uses a custom function to parse and sanitize the stored data. The test measures how fast this approach can execute compared to direct access.

**Pros and cons of each approach**

A) **Direct access**:
	* Pros: Simple, straightforward, and easy to implement.
	* Cons: May be vulnerable to security risks if not sanitized properly, and may not provide the desired output due to potential data corruption or encoding issues.

B) **Custom parsing**:
	* Pros: Provides better control over the data processing and sanitization steps, which can improve security and output quality.
	* Cons: Requires additional code and complexity, which can increase execution time compared to direct access.

**Library usage**

In this benchmark, the `localStorage` API is used to store and retrieve data. The `JSON.parse()` method is called within a custom function to parse and sanitize the stored data. This suggests that the test case aims to evaluate the performance of parsing and sanitizing JSON data in local storage.

**Special JavaScript feature or syntax**

There are no special JavaScript features or syntax used in this benchmark, but it does utilize the `localStorage` API, which is supported by most modern web browsers.

**Other alternatives**

If you're looking for alternative approaches to handling JSON parsing and sanitization in your own code, consider the following:

* Use a dedicated JSON library like `json-stringify-safe` or `json-deparse` to handle parsing and encoding/decoding.
* Implement custom parsing and sanitization logic using JavaScript functions, as seen in this benchmark.
* Utilize web storage alternatives like IndexedDB or Web Storage API's built-in validation mechanisms.

Keep in mind that each approach has its trade-offs, and the choice ultimately depends on your specific use case, performance requirements, and development constraints.

Related benchmarks:

aaaabbbnmmbhjhg (version: 0)

bbbbb

Comparing performance of: 2 vs 4

Created: 2 years ago by: Guest

Jump to the latest result

2

4

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):