Benchmark: Switch vs Object Literal Fixed

Script Preparation code:

var str = 'abc';
str = str.charAt(Math.floor(Math.random() * 3));

var objLiteral = {
  a: function() {
    console.log('A');
  },
  b: function() {
    console.log('B');
  },
  c: function() {
    console.log('C');
  }
}

Tests:

Switch
switch (str) { case 'a': console.log('A'); break; case 'b': console.log('B'); break; case 'c': console.log('C'); break; }
Object Literal
objLiteral[str]();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Switch
Object Literal

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition**

The benchmark is designed to compare the performance of two approaches: `switch` statements and object literals with fixed properties, in this case, accessing functions defined within those objects. The script preparation code sets up a string variable `str` with a random value between 'a', 'b', or 'c'. Then, it defines an object literal `objLiteral` with three functions, one for each possible value of `str`.

**Options Compared**

The benchmark compares the performance of two approaches:

1. **Switch Statement**: The benchmark definition is a simple `switch` statement that takes the value of `str` as its argument.
2. **Object Literal Access**: The benchmark definition accesses the function associated with the value of `str` using the object literal syntax, e.g., `objLiteral[str]()`.

**Pros and Cons**

* **Switch Statement**:
	+ Pros: Simple to read and understand, easy to maintain, and can be optimized by the JavaScript engine.
	+ Cons: May lead to slower performance due to the overhead of dynamic lookup and branch prediction errors.
* **Object Literal Access**:
	+ Pros: Can be faster than `switch` statements because it avoids the overhead of dynamic lookup. It's also a more modern and idiomatic way to access object properties in JavaScript.
	+ Cons: May lead to slower performance for large numbers of cases, as the engine needs to perform multiple property accesses.

**Library and Special Features**

There is no library used in this benchmark. However, it does utilize some special features:

* **Template Literals**: The `str` variable is assigned a template literal value, which allows for more readable and concise string concatenation.
* **Arbitrary Function Invocation**: The functions defined within the object literal are invoked using the syntax `objLiteral[str]()`, which is a common pattern in JavaScript.

**Other Considerations**

The benchmark focuses on the performance difference between these two approaches. However, it's essential to consider other factors when optimizing JavaScript code, such as:

* Code readability and maintainability
* Error handling and debugging capabilities
* Compatibility with older browsers or environments

**Alternatives**

If you're looking for alternative approaches to optimize your JavaScript code, consider the following options:

1. **Use a more efficient data structure**: If possible, use an array or other data structure to store and retrieve values instead of object literals.
2. **Minimize property accesses**: Reduce the number of times you access properties on objects, as each access can lead to slower performance.
3. **Use caching mechanisms**: Implement caching mechanisms to reduce the need for repeated computations or lookups.
4. **Profile your code**: Use tools like Chrome DevTools or Node.js Inspector to profile your code and identify performance bottlenecks.

By considering these alternatives and optimizing your JavaScript code, you can improve its performance, readability, and maintainability.

Related benchmarks:

Switch vs Object Literal Fixed (version: 0)

Fixed

Comparing performance of: Switch vs Object Literal

Created: 4 years ago by: Guest

Jump to the latest result

Switch

Object Literal

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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