Benchmark: Try-catch - MeasureThat.net

Script Preparation code:

function a() {
  try {
    const result = JSON.parse('{"asdf": 5}');
    if (result.asdf) {
      return true;
    }
    throw new Error('Wow');
  } catch (err) {
    return false;
  }
}

function b() {
  const result = JSON.parse('{"asdf": 5}');
  if (result.asdf) {
    return true;
  }
  return false;
}

Tests:

A
a();
B
b();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
A
B

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

View result in a separate tab

Test name	Executions per second
A	3478622.5 Ops/sec
B	3552254.8 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

I'll explain what's being tested in the provided benchmark.

**Script Preparation Code:**
The script preparation code defines two functions, `a()` and `b()`. Both functions attempt to parse a malformed JSON string using `JSON.parse()`. The difference between the two lies in how they handle potential errors:

*   Function `a()` uses a `try-catch` block to catch any exceptions that might occur during parsing. If an exception is caught, it returns `false`.
*   Function `b()` does not use a `try-catch` block and attempts to parse the JSON string directly. If an error occurs, it will be thrown as an exception.

**Options Compared:**
The benchmark compares two approaches for handling potential errors when parsing malformed JSON:

1.  **Try-Catch Approach (Function `a()`)**: This approach catches any exceptions that might occur during parsing and returns a specific value (`false` in this case). It provides explicit error handling, making it more robust but also potentially slower due to the overhead of catching and handling exceptions.
2.  **No Try-Catch Approach (Function `b()`)**: This approach attempts to parse the JSON string directly without any error handling. If an error occurs, it is thrown as an exception. It's faster since there's no need for explicit error handling but risks crashing or producing unexpected behavior if an error is encountered.

**Pros and Cons:**

*   **Try-Catch Approach (Function `a()`)**:
    *   Pros:
        *   Provides explicit error handling, making it more robust.
        *   Allows for better control over the application's flow when errors occur.
    *   Cons:
        *   Might be slower due to the overhead of catching and handling exceptions.
*   **No Try-Catch Approach (Function `b()`)**:
    *   Pros:
        *   Faster, as there is no need for explicit error handling.
        *   Could potentially lead to more efficient execution in certain cases.
    *   Cons:
        *   Risks crashing or producing unexpected behavior if an error occurs.

In general, the try-catch approach is recommended when dealing with potential errors, especially in production environments where reliability and robustness are crucial. However, for specific use cases where speed is critical and errors can be safely ignored (e.g., testing), the no try-catch approach might be preferred.

**Library Usage:**
There doesn't seem to be any external libraries used in this benchmark aside from built-in JavaScript functionality.

**Special JS Feature or Syntax:**
The use of `try` and `catch` blocks, as well as the attempt to parse malformed JSON using `JSON.parse()`, are standard features and syntax within JavaScript.

Related benchmarks:

Try-catch (version: 0)

Comparing performance of: A vs B

Created: 3 years ago by: Guest

Jump to the latest result

A

B

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):