Benchmark: JSON.stringify / parse vs. string.split

Script Preparation code:

var rects = [
    [
      { x: 151, y: 0 },
      { x: 281, y: 0 },
      { x: 281, y: 121 },
      { x: 151, y: 121 }
    ],
    [
      { x: 281, y: 0 },
      { x: 297, y: 0 },
      { x: 297, y: 105 },
      { x: 281, y: 105 }
    ],
    [
      { x: 119, y: 23 },
      { x: 144, y: 23 },
      { x: 144, y: 297 },
      { x: 119, y: 297 }
    ],
    [
      { x: 103, y: 55 },
      { x: 112, y: 55 },
      { x: 112, y: 320 },
      { x: 103, y: 320 }
    ],
    [
      { x: 87, y: 103 },
      { x: 103, y: 103 },
      { x: 103, y: 320 },
      { x: 87, y: 320 }
    ],
    [
      { x: 71, y: 135 },
      { x: 87, y: 135 },
      { x: 87, y: 320 },
      { x: 71, y: 320 }
    ],
    [
      { x: 144, y: 128 },
      { x: 233, y: 128 },
      { x: 233, y: 233 },
      { x: 144, y: 233 }
    ],
    [
      { x: 233, y: 128 },
      { x: 249, y: 128 },
      { x: 249, y: 153 },
      { x: 233, y: 153 }
    ],
    [
      { x: 39, y: 151 },
      { x: 71, y: 151 },
      { x: 71, y: 320 },
      { x: 39, y: 320 }
    ],
    [
      { x: 23, y: 167 },
      { x: 39, y: 167 },
      { x: 39, y: 320 },
      { x: 23, y: 320 }
    ],
    [
      { x: 0, y: 183 },
      { x: 23, y: 183 },
      { x: 23, y: 320 },
      { x: 0, y: 320 }
    ],
    [
      { x: 144, y: 240 },
      { x: 185, y: 240 },
      { x: 185, y: 281 },
      { x: 144, y: 281 }
    ],
    [
      { x: 192, y: 240 },
      { x: 217, y: 240 },
      { x: 217, y: 249 },
      { x: 192, y: 249 }
    ],
    [
      { x: 192, y: 249 },
      { x: 201, y: 249 },
      { x: 201, y: 265 },
      { x: 192, y: 265 }
    ],
    [
      { x: 144, y: 281 },
      { x: 153, y: 281 },
      { x: 153, y: 297 },
      { x: 144, y: 297 }
    ],
    [
      { x: 112, y: 297 },
      { x: 121, y: 297 },
      { x: 121, y: 320 },
      { x: 112, y: 320 }
    ],
    [
      { x: 144, y: 121 },
      { x: 249, y: 121 },
      { x: 249, y: 128 },
      { x: 144, y: 128 }
    ],
    [
      { x: 144, y: 23 },
      { x: 151, y: 23 },
      { x: 151, y: 121 },
      { x: 144, y: 121 }
    ],
    [
      { x: 112, y: 55 },
      { x: 119, y: 55 },
      { x: 119, y: 297 },
      { x: 112, y: 297 }
    ],
    [
      { x: 144, y: 233 },
      { x: 217, y: 233 },
      { x: 217, y: 240 },
      { x: 144, y: 240 }
    ],
    [
      { x: 185, y: 240 },
      { x: 192, y: 240 },
      { x: 192, y: 265 },
      { x: 185, y: 265 }
    ]
  ];

Tests:

JSON.parse
const rectStringified = JSON.stringify(rects), parsedRects = JSON.parse(rectStringified);
string.split
let rectString = ''; for (const rect of rects) rectString += rect[0].x + ',' + rect[0].y + ',' + rect[2].x + ',' + rect[2].y + ':'; rectString = rectString.slice(0, -1); const rectArray = rectString.split(':'), rebuiltRects = []; for (const rect of rectArray) { const [ x1, y1, x2, y2 ] = rect.split(','); rebuiltRects.push([ { x: +x1, y: +y1 }, { x: +x2, y: +y1 }, { x: +x2, y: +y2 }, { x: +x1, y: +y2 } ]); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JSON.parse
string.split

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 do my best to help.

It seems like we have:

1. A JSON data object containing multiple test cases for parsing and string manipulation.
2. A benchmark result with execution metrics for two test cases: `JSON.parse` and `string.split`.

To answer the question, I'll need more context about what you're trying to achieve or what problem you're solving. However, based on the provided data, here's a possible step-by-step approach:

**Step 1:** Identify the relevant benchmark results for your specific use case.

From the latest benchmark result, we have two test cases with execution metrics:
```json
[
  {
    "RawUAString": "...",
    "Browser": "...",
    "DevicePlatform": "...",
    "OperatingSystem": "...",
    "ExecutionsPerSecond": 62966.546875,
    "TestName": "string.split"
  },
  {
    "RawUAString": "...",
    "Browser": "...",
    "DevicePlatform": "...",
    "OperatingSystem": "...",
    "ExecutionsPerSecond": 31430.716796875,
    "TestName": "JSON.parse"
  }
]
```
**Step 2:** Analyze the performance of each test case.

Comparing the execution metrics, we can see that `string.split` has a significantly higher execution rate than `JSON.parse`.

**Step 3:** Consider the code optimization strategies.

Based on the benchmark results, you may want to consider optimizing your code for `JSON.parse` by:

* Using a faster parsing library or algorithm
* Minifying and compressing the JSON data to reduce parsing overhead
* Utilizing caching mechanisms to store parsed data

On the other hand, since `string.split` has a better performance profile, you might focus on optimizing that part of your code.

**Step 4:** Identify potential optimization opportunities.

Examine the provided benchmark definition for each test case and look for potential optimizations:
```javascript
// JSON.parse example
const rectStringified = JSON.stringify(rects);
parsedRects = JSON.parse(rectStringified);

// string.split example
let rectString = '';
for (const rect of rects) {
  rectString += rect[0].x + ',' + rect[0].y + ',' + rect[2].x + ',' + rect[2].y + ':';
}
rectString = rectString.slice(0, -1);
const rectArray = rectString.split(':');
...
```
Some potential optimization opportunities might include:

* Using a more efficient string concatenation method
* Optimizing the loop structure for `JSON.parse` or reducing unnecessary computations

Without knowing the specific requirements and constraints of your project, it's difficult to provide more concrete recommendations. However, this should give you a starting point for exploring optimization strategies.

Do you have any further questions or would you like me to elaborate on any of these points?

Related benchmarks:

JSON.stringify / parse vs. string.split (version: 0)

Comparing performance of: JSON.parse vs string.split

Created: 4 years ago by: Guest

Jump to the latest result

JSON.parse

string.split

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):