Benchmark: json and - MeasureThat.net

Tests:

1
const a = [ { "key": 0, "name": "Jhon Black 0", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 }, { "key": 1, "name": "Jhon Black 1", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 }, { "key": 2, "name": "Jhon Black 2", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 }, { "key": 3, "name": "Jhon Black 3", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 }, { "key": 4, "name": "Jhon Black 4", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 } ] for (let i = 1; i <= 10000; i++) { if (JSON.stringify(a) === JSON.stringify(a)) { } }
2
const a = [ { "key": 0, "name": "Jhon Black 0", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 }, { "key": 1, "name": "Jhon Black 1", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 }, { "key": 2, "name": "Jhon Black 2", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 }, { "key": 3, "name": "Jhon Black 3", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 }, { "key": 4, "name": "Jhon Black 4", "age": 26, "address": "恒电大厦B座2层", "email": "John@meituan.com", "date": 1680839365333 } ] for (let i = 1; i <= 10000; i++) { if (JSON.stringify(a) === JSON.stringify(a)) { } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1
2

Fastest: N/A

Slowest: N/A

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

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Let's break down the provided JSON and explain what's being tested.

**Benchmark Definition**

The benchmark is testing whether the speed or `JSON.stringify()` changes with object size. This means that the test is comparing how long it takes to convert an array of objects into a string using `JSON.stringify()` for different sizes of arrays.

**Options Compared**

There are two options compared:

1. **Original Code**: The first option uses the original code provided in the benchmark definition, which creates an array of 10 objects and then checks if the result of `JSON.stringify(a)` is equal to itself (i.e., a no-op).
2. **Modified Code**: The second option uses the modified code provided in the second individual test case, which creates an array of 10 objects with the same properties as before.

**Pros and Cons of Each Approach**

1. **Original Code**:
	* Pros: Simple and straightforward.
	* Cons: It doesn't actually measure anything meaningful, as it's checking if `JSON.stringify(a)` is equal to itself (which will always be true).
2. **Modified Code**:
	* Pros: Measures the actual performance of `JSON.stringify()` for different array sizes.
	* Cons: Requires more complex code and may introduce additional overhead.

**Other Considerations**

The benchmark is using a JavaScript library, specifically `JSON`, to convert objects into strings. The `JSON` library is part of the JavaScript standard library, so it's not specific to any particular framework or library.

There are no special JavaScript features or syntax used in this benchmark beyond what's required for the tests themselves.

**Other Alternatives**

If you wanted to write a similar benchmark, you could use other approaches, such as:

1. Using a different method to convert objects into strings (e.g., `toString()`, `XMLSerializer`, etc.).
2. Measuring the performance of a different operation on arrays (e.g., sorting, filtering, etc.).
3. Using a different programming language or framework for writing the benchmark.

However, keep in mind that the specific approach used here (using `JSON.stringify()` and comparing its performance for different array sizes) is quite common and well-established, so it may not be necessary to reinvent the wheel!

Related benchmarks:

json and (version: 0)

This benchmark tests whether the speed or JSON.stringify changes with object size

Comparing performance of: 1 vs 2

Created: 3 years ago by: Guest

Jump to the latest result

1

2

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):