Benchmark: function - MeasureThat.net

Script Preparation code:

const asd = (type) => {
    switch (type) {
        case "123":
            return console.log("123");
        case "456":
            return console.log("456");
    }
}

asd("123");

Tests:

object approach
const asd = { "123": () => console.log("123"), "456": () => console.log("456") }; asd["123"]();
object approach -- 2
const asd = (type) => { switch (type) { case "123": return console.log("123"); case "456": return console.log("456"); } } asd("123");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
object approach
object approach -- 2

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

Autogenerated LLM Summary (model llama3.1:latest, generated one year ago):

LLMs can make mistakes. Check important info.

Let's dive into the explanation.

**What is being tested?**

The benchmark is testing two different approaches to execute code based on a given condition:

1. **Object Approach**: Using an object with string keys and function values to execute code. For example: `const asd = { "123": () => console.log("123"), "456": () => console.log("456") }; asd["123"]();`
2. **Switch Statement Approach**: Using a switch statement to execute different code blocks based on a given condition. For example: `const asd = (type) => { ... } asd("123");`

**What options are compared?**

The two test cases, "object approach" and "switch statement approach", compare the execution performance of these two approaches.

**Pros and Cons of each approach:**

* **Object Approach:**
	+ Pros:
		- Cleaner code structure
		- Easier to add or remove code blocks (just add/remove properties from the object)
	+ Cons:
		- May be slower due to object property lookup
		- Can lead to "hash table" problems if used excessively (e.g., many objects with large keys)
* **Switch Statement Approach:**
	+ Pros:
		- Typically faster since it uses a jump table internally
		- Clearer intent and easier debugging for simple cases
	+ Cons:
		- Can become cumbersome with many cases
		- Not suitable for dynamic or changing condition values

**Other considerations:**

* **Library usage:** No external libraries are used in these benchmark test cases.
* **Special JavaScript features/syntax:** None are used here.

**Alternatives:**

For more complex scenarios, you might consider:

1. **Using a lookup array**: Instead of an object or switch statement, use an array with function references for each case. This approach balances performance and readability.
2. **Dynamic approaches**: Use techniques like eval() (not recommended) or Function constructors to create functions dynamically based on conditions.
3. **Higher-order functions**: Apply the "object approach" but use higher-order functions to execute code blocks.

These alternatives depend on your specific use case, requirements, and performance needs.

Let me know if you'd like me to elaborate on any point!

Related benchmarks:

function (version: 0)

Comparing performance of: object approach vs object approach -- 2

Created: 3 years ago by: Guest

Jump to the latest result

object approach

object approach -- 2

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.1:latest, generated one year ago):