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JSON.parse vs string.splitd
(version: 0)
Comparing performance of:
JSON.parse vs String.split
Created:
2 years ago
by:
Guest
Go to the latest result
Script Preparation code:
var array = new Array(5).fill('1').map(() => Math.random().toString()); var str = JSON.stringify(array);
Tests:
JSON.parse
JSON.parse(str);
String.split
str.split(',')
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
JSON.parse
String.split
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
Browser/OS:
Chrome 120 on Windows
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String.split
3.5M/s
JSON.parse
1.8M/s
View exact numbers
Test name
Executions per second
✓
String.split
3,544,667 Ops/sec
JSON.parse
1,835,233 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON and explain what's being tested. **Benchmark Definition** The benchmark is comparing two approaches: `JSON.parse()` and `string.split()`. The benchmark aims to measure which approach is faster for parsing a string of comma-separated values into an array. **Script Preparation Code** The script preparation code generates a random array of 5 strings, each containing a random decimal number as a string. This array is then stringified using `JSON.stringify()` and stored in the `str` variable. The script also creates a copy of this string by splitting it on commas (`str.split(',')`). **Options Compared** The two options being compared are: 1. **JSON.parse()**: This function takes a string as input and parses it into an array of values. 2. **string.split()**: This method splits a string into an array of substrings, using a specified separator (in this case, commas). **Pros and Cons** **JSON.parse():** Pros: * Faster for larger datasets, since it's optimized for JSON parsing * Less error-prone, as it handles edge cases like empty strings or invalid data Cons: * Slower for small datasets due to overhead of parsing the entire string * May throw errors if the input string is malformed **string.split():** Pros: * Faster for small datasets, since it only needs to split the string into substrings * More flexible, as it allows specifying a separator (in this case, commas) Cons: * Slower for larger datasets due to parsing the entire string * Less efficient, as it creates an array of substrings **Other Considerations** * **Performance**: For large datasets, `JSON.parse()` is generally faster. However, for small datasets or when dealing with malformed input, `string.split()` might be a better choice. * **Robustness**: `JSON.parse()` is more robust and handles edge cases like empty strings or invalid data. `string.split()` may throw errors if the input string is malformed. **Library Used** No specific library is used in this benchmark. However, `JSON.stringify()` relies on the built-in `String.prototype.stringify()` method, which uses a combination of algorithms to serialize the string. **Special JS Feature/Syntax** There are no special JavaScript features or syntaxes being tested in this benchmark. The code only employs standard JavaScript methods and data types (arrays, strings, etc.). **Alternatives** Other alternatives for parsing strings into arrays include: * Using `Array.prototype.concat()` and splitting the string by a separator * Implementing a custom parser using regular expressions Keep in mind that these alternatives might not be as efficient or robust as the methods used in this benchmark.
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