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JSON.stringify() vs interpolation
(version: 0)
Comparing performance of:
interpolation vs JSON.stringify
Created:
3 years ago
by:
Guest
Jump to the latest result
Tests:
interpolation
const flag = true; `${flag}`
JSON.stringify
const flag = true; JSON.stringify(flag);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
interpolation
JSON.stringify
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
4 days ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36
Browser/OS:
Chrome 148 on Mac OS X 10.15.7
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<iframe src="https://measurethat.net/Embed?id=629748" width="100%" height="500px"></iframe>
Test name
Executions per second
interpolation
84950976.0 Ops/sec
JSON.stringify
17184722.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net. The provided benchmark aims to compare two approaches: string interpolation and `JSON.stringify()` methods in JavaScript. **String Interpolation** In modern JavaScript, string interpolation is achieved using template literals (e.g., `${flag}`). This feature allows you to embed expressions inside string literals, making it easier to create dynamic strings. The interpolation process involves replacing the placeholders (in this case, ${flag}) with the actual values. Pros: 1. **Readability**: String interpolation improves code readability by clearly separating variables from their representations. 2. **Conciseness**: It allows you to write more concise code, reducing the amount of string manipulation required. 3. **Efficiency**: Interpolation is generally faster than `JSON.stringify()` because it avoids creating an intermediate object. Cons: 1. **Browser Support**: Although widely supported, older browsers might not have native support for template literals or may have limited functionality. 2. **Type Inference**: If the variable's type does not match the expected type (e.g., a number as a string), interpolation can lead to unexpected behavior or errors. **JSON.stringify()** The `JSON.stringify()` method converts a JavaScript value into a JSON string, which is a standardized format for representing data in human-readable form. In this benchmark, it's used to concatenate the boolean flag directly. Pros: 1. **Universal Support**: `JSON.stringify()` is supported by most modern browsers and JavaScript engines. 2. **Type Safety**: It ensures that the resulting string only contains valid JSON characters, reducing the risk of errors or security vulnerabilities. Cons: 1. **Performance Overhead**: Creating a new object using `JSON.stringify()` involves additional overhead compared to interpolation. 2. **Readability**: The use of `JSON.stringify()` can make code less readable, especially when dealing with simple concatenations. **Comparison and Benchmarking** The benchmark measures the execution speed of both approaches on different browsers and devices. By comparing these results, you can see which method is faster in various scenarios. In this specific case, the `interpolation` test has a higher number of executions per second (1017030208.0) compared to `JSON.stringify` (10350525.0). This suggests that string interpolation might be faster for simple concatenations like this one. However, it's essential to consider other factors, such as browser support, performance overhead, and readability, when choosing between these approaches in your specific use cases. **Other Alternatives** Besides template literals and `JSON.stringify()`, there are a few alternative methods to concatenate strings: 1. **+ operator**: The `+` operator is another way to concatenate strings. While it's straightforward, it can be slower than interpolation or `JSON.stringify()` due to the overhead of creating an intermediate string. 2. **String concatenation with `.join()` method**: You can use the `join()` method to concatenate multiple strings. This approach can be efficient for large datasets but might not be suitable for simple concatenations like in this benchmark. Keep in mind that these alternatives may have different pros and cons, and their performance characteristics may vary depending on the specific use case and requirements.
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