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JSON primitive parse/stringify
(version: 0)
Comparing performance of:
primitive vs JSON
Created:
8 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
const primitiveParse = val => { switch (val) { case 'true': return true; case 'false': return false; case 'null': return null; default: return JSON.parse(val); } }; const primitiveStringify = val => { switch (val) { case true: return 'true'; case false: return 'false'; case null: return 'null'; case undefined: return undefined; default: return JSON.stringify(val); } };
Tests:
primitive
primitiveParse(primitiveStringify(true)); primitiveParse(primitiveStringify(false));
JSON
JSON.parse(JSON.stringify(true)); JSON.parse(JSON.stringify(false));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
primitive
JSON
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested, compared options, pros and cons of those approaches, and other considerations. **Benchmark Overview** The provided benchmark measures the performance of two JavaScript functions: `primitiveParse` and `JSON.parse(JSON.stringify)`. The first function is a custom implementation that parses JSON strings to their primitive values (true, false, null, or undefined), while the second function uses the `JSON.stringify` method with the `replacer` option to serialize objects to primitive values. **Custom Implementation: `primitiveParse` and `primitiveStringify`** The benchmark defines two custom functions: 1. `primitiveParse`: takes a JSON string as input and returns its corresponding primitive value. 2. `primitiveStringify`: takes a primitive value as input and returns its corresponding JSON string. These functions use a `switch` statement to map the primitive values to their corresponding strings. The `default` branch of the switch statements uses `JSON.parse` with no replacer function, which means it will throw an error if the input is not a valid JSON string. **Options Compared** The benchmark compares two approaches: 1. **Custom implementation (`primitiveParse` and `primitiveStringify`)**: This approach involves writing custom code to parse and stringify primitive values. 2. **Built-in `JSON.parse` with replacer**: This approach uses the built-in `JSON.parse` method with a replacer function to serialize objects to primitive values. **Pros and Cons of Each Approach** 1. **Custom implementation (`primitiveParse` and `primitiveStringify`)**: * Pros: + Can be optimized for specific use cases or performance requirements. + Allows for more control over the parsing and stringification process. * Cons: + Requires custom code, which can add complexity and maintenance overhead. + May not work correctly with all input data types or edge cases. 2. **Built-in `JSON.parse` with replacer**: * Pros: + Provides a standardized and well-tested implementation for serializing objects to primitive values. + Reduces the need for custom code and maintenance overhead. * Cons: + May not work correctly with all input data types or edge cases (e.g., circular references). + Can be slower than a custom implementation due to the overhead of the built-in method. **Other Considerations** 1. **Library Usage**: The benchmark uses the `JSON` library, which provides the `JSON.stringify` and `JSON.parse` methods. 2. **Special JS Features or Syntax**: There are no special JavaScript features or syntax used in this benchmark. 3. **Alternative Approaches**: * For parsing primitive values, alternative approaches could include using a library like `fast-json-stamp` or implementing a custom parser using regular expressions. * For serializing objects to primitive values, alternative approaches could include using libraries like `json-stringify-safe` or implementing a custom serializer using a loop. Overall, the benchmark provides a good starting point for measuring the performance of different approaches for parsing and stringifying primitive values in JavaScript. However, it's essential to consider additional factors, such as edge cases, data types, and maintenance overhead, when selecting an approach for specific use cases.
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