Benchmark: json import vs fetch

HTML Preparation code:

<!--your preparation HTML code goes here-->

Script Preparation code:

let src = URL.createObjectURL(new Blob([`{"a":3,"b":2}`]))

Tests:

fetch
void async function () { await (await fetch(src)).json() URL.revokeObjectURL(src) deferred.resolve() }()
import
void async function () { await import(src, { with: { type: 'json' } }) URL.revokeObjectURL(src) deferred.resolve() }()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
fetch
import

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one month ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36

Browser/OS: Chrome 146 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
fetch	25372.7 Ops/sec
import	192385.8 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):

LLMs can make mistakes. Check important info.

The benchmark defined in the provided JSON evaluates the performance differences between two approaches for loading JSON data in JavaScript: using the `fetch` API and the `import` function with a module-like syntax. The primary purpose of this benchmark is to determine which method is more efficient when dealing with a small JSON object.

### Options Compared

1. **Fetch API**
   - **Test Name**: "fetch"
   - **Benchmark Definition**:
     ```javascript
     void async function () {
         await (await fetch(src)).json();
         URL.revokeObjectURL(src);
         deferred.resolve();
     }();
     ```

2. **Dynamic Import**
   - **Test Name**: "import"
   - **Benchmark Definition**:
     ```javascript
     void async function () {
         await import(src, { with: { type: 'json' } });
         URL.revokeObjectURL(src);
         deferred.resolve();
     }();
     ```

### Pros and Cons of Each Approach

#### Fetch API
- **Pros**:
  - Widely supported in all modern browsers.
  - Simple and straightforward for making HTTP requests and retrieving resources.
- **Cons**:
  - Has a slightly slower performance as evident in the benchmark results (approximately 2681.48 executions per second).
  - Requires extra processing to parse the JSON once the data is fetched.

#### Dynamic Import
- **Pros**:
  - Significantly faster in this benchmark (approximately 40755.24 executions per second).
  - Handles JSON data loading and parsing more efficiently since it’s designed to load JavaScript modules dynamically, which can lead to optimized retrieval for specific file types.
- **Cons**:
  - Less known among developers who are mainly familiar with traditional HTTP requests.
  - Not as widely used for JSON data; its main purpose is for loading JavaScript modules.

### Other Considerations
- **Security**: Both methods require careful handling of the URL being fetched/imported to avoid security vulnerabilities, such as Cross-Origin Resource Sharing (CORS) issues.
- **Use Cases**: The choice between `fetch` and `import` may also depend on the broader architectural design. If dynamic imports are a critical part of the application (e.g., code-splitting), using `import` makes sense. Conversely, if typical API calls are prevalent, `fetch` remains the go-to option.
- **Future Support**: Both methods are part of the ECMAScript specification; however, browser support may vary, particularly with newer features.

### Alternatives
- **XHR (XMLHttpRequest)**: An older API for performing AJAX requests. It has a more complicated interface and less simplicity than fetch but is supported in older browsers.
- **Axios**: A popular library for making HTTP requests that simplify many aspects of fetching data, such as automatic JSON data transformation and error handling. However, it may have overhead compared to native methods.
- **GraphQL**: Instead of fetching JSON data from RESTful APIs, one might consider using GraphQL to retrieve exactly the data needed in a single request.

By analyzing these benchmarks, developers can choose the best approach based on their specific use case and performance requirements. Understanding the differences in speed and use case strengths can guide decisions on which method to implement in their applications.

Related benchmarks:

json import vs fetch (version: 1)

Comparing performance of: fetch vs import

Created: one year ago by: Guest

Jump to the latest result

fetch

import

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):