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json stringify/parse vs array join/split (numbers) v1
(version: 1)
Comparing performance of:
join/split vs JSON.stringify/parse
Created:
11 months ago
by:
Guest
Go to the latest result
Script Preparation code:
function moreData(arr, left) { if(left === 0) return arr; else { arr.push(Math.floor(Math.random() * 1000000)); return moreData(arr, left - 1); } } function makeTestData() { return moreData([], 40); }
Tests:
join/split
makeTestData().join(',').split(',').map(Number)
JSON.stringify/parse
JSON.stringify(makeTestData());
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
join/split
JSON.stringify/parse
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
11 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36
Browser/OS:
Chrome 139 on Mac OS X 10.15.7
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=616338" width="100%" height="500px"></iframe>
JSON.stringify/parse
1.1M/s
join/split
357K/s
View exact numbers
Test name
Executions per second
✓
JSON.stringify/parse
1,138,667 Ops/sec
join/split
357,006 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated 11 months ago):
This benchmark tests the performance of two different approaches to convert an array of numbers into a string format and back again in JavaScript. The two methods being compared are: 1. **Using `Array.join()` and `String.split()`**: - **Benchmark Definition**: `makeTestData().join(',').split(',').map(Number)` - **Description**: This approach begins by generating an array of 40 random numbers ranging from 0 to 999,999 using the `makeTestData` function. The `join(',')` method then converts this array into a single string representation, with each number separated by a comma. Finally, the `split(',')` method is used to break that string back into an array, followed by `map(Number)`, which converts the split string values back to numbers. - **Pros**: - Simple and straightforward implementation. - Works well for converting small to moderately sized arrays of items. - **Cons**: - Performance may degrade with larger datasets due to string manipulation and the additional overhead of splitting the string and converting each piece back to a number. 2. **Using `JSON.stringify()`**: - **Benchmark Definition**: `JSON.stringify(makeTestData());` - **Description**: This method directly generates the array of random numbers using the same `makeTestData` function, but instead of manipulating strings, it serializes the entire array into a JSON string using `JSON.stringify()`. - **Pros**: - Efficient for converting entire arrays or objects to a string representation in a single operation, with less overhead for string manipulation. - JSON format can be easily parsed back into the original structure. - **Cons**: - May introduce overhead if the data structure is complex, but for simple arrays of numbers, this is generally negligible. ### Benchmark Results - **JSON.stringify/parse** achieved **1,138,667.25 executions per second**. - **join/split** achieved **357,006.1875 executions per second**. ### Performance Insights The benchmark clearly indicates that `JSON.stringify` is significantly more performant than the combination of `join` and `split` for this particular use case. While both methods effectively achieve the same goal of converting an array to a string representation and back, the JSON method excels in speed and efficiency. ### Other Considerations This benchmark could be further extended to test larger datasets or different data types (e.g., nested structures) to provide a more comprehensive comparison. Additionally, while both methods are valid, choosing between them would depend on the specific use case. If a simpler string representation is needed and performance is not as critical, then `join` and `split` could still be a suitable choice. In conclusion, for handling arrays of numbers, particularly if performance is a consideration, `JSON.stringify` is generally the preferred approach, while `join` and `split` may be used in simpler or less performance-sensitive contexts.
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