Benchmark: Promise vs Try Catch

HTML Preparation code:

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

Script Preparation code:

function getData(){
     throw new Error('get data error')
}

Tests:

try catch
let response; try { response = getData() }catch(e){ response = e; }
promise
const promise = new Promise((resolve, reject) => { resolve(getData()) }).then( r => r, e => e )

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
try catch
promise

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
try catch	602869.5 Ops/sec
promise	402722.9 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated 10 months ago):

LLMs can make mistakes. Check important info.

The benchmark titled "Promise vs Try Catch" investigates two distinct approaches for handling errors in JavaScript: traditional `try-catch` blocks and modern `Promises`. Each approach embodies specific characteristics that impact error handling efficiency and performance.

### Test Cases

#### 1. Try Catch
- **Code**: 
    ```javascript
    let response;
    try {
        response = getData();
    } catch(e) {
        response = e;
    }
    ```
- **Description**: This test case utilizes a `try-catch` statement to execute the `getData()` function, which throws an error. When the error occurs, it's caught within the `catch` block, allowing the code to handle the error gracefully.
- **Performance Result**: Approximately 458,615.5 executions per second.

### Pros and Cons of Try Catch
- **Pros**:
  - Simple and straightforward syntax for error handling.
  - Directly handles synchronous errors without the need for additional setup.
  - Readable, allowing easy understanding of the flow of code.

- **Cons**:
  - Performance can degrade significantly when used frequently, particularly in scenarios involving many errors.
  - Less suitable for handling multiple asynchronous operations compared to Promises.

#### 2. Promise
- **Code**:
    ```javascript
    const promise = new Promise((resolve, reject) => {
        resolve(getData());
    }).then(
        r => r,
        e => e
    );
    ```
- **Description**: This test case implements a `Promise` to handle potential errors from the `getData()` function. If the operation is successful, it resolves; otherwise, it will handle the error in the `then` method.
- **Performance Result**: Approximately 307,929.94 executions per second.

### Pros and Cons of Promise
- **Pros**:
  - Well-suited for handling asynchronous operations, particularly in scenarios involving multiple operations or chained executions.
  - Provides a clean way to manage and organize code involving callbacks.
  - Encourages better separation of success and error handling.

- **Cons**:
  - Slightly more complex syntax, requiring a foundational understanding of Promises.
  - Overhead of creating a new Promise object can lead to performance bottlenecks, particularly for simple synchronous operations.

### Conclusion and Alternatives
In this benchmark, the `try-catch` mechanism significantly outperformed the `Promise` for error handling in synchronous contexts. The use of a `Promise` may still be preferable in scenarios involving asynchronous operations where callback hell could otherwise occur.

**Other Alternatives**:
- **Async/Await**: A newer syntax built on Promises that allows asynchronous code to be written in a more synchronous-looking manner, improving readability and maintainability.
- **Callbacks**: The traditional way of handling asynchronous operations before Promises became popular, often leading to callback hell but still useful for simple applications.
- **Error-First Callbacks**: A common pattern in Node.js where the first argument of a callback function is reserved for an error object.

In summary, the choice between `try-catch` blocks and Promises (or other error-handling patterns) should consider the context of use, performance implications, and code clarity. Understanding these nuances can help developers make informed decisions based on their specific application needs.

Related benchmarks:

Promise vs Try Catch (version: 1)

Comparing performance of: try catch vs promise

Created: 10 months ago by: Registered User

Jump to the latest result

try catch

promise

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated 10 months ago):