Benchmark: Generator vs. POJO with `next()` method

Script Preparation code:

var str = ""

for (let i = 0; i < 100; i++) {
  str += " save my home in the jungle save my home in the polar save my home in the ocean save my home in the desert "
}

Tests:

POJO
function createCharStream(input) { let index = 0 return { next() { return input.charAt(index++) } } } const chars = createCharStream(str) let strCopy = "" for (let char; (char = chars.next()) !== "";) { strCopy += char }
generator
function* createCharStream(input) { let index = 0 while (index < input.length) { yield input.charAt(index++) } } const chars = createCharStream(str) let strCopy = "" for (const char of chars) { strCopy += char }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
POJO
generator

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 break down the provided JSON benchmark and explain what is being tested, compared, and analyzed.

**Benchmark Definition**

The benchmark definition consists of two test cases:

1. **POJO (Plain Old JavaScript Object)**: This test case uses a traditional JavaScript object to iterate over the input string.
2. **Generator**: This test case uses a generator function to yield individual characters from the input string.

**Options Compared**

In this benchmark, we have two options being compared:

* Traditional JavaScript object iteration (`next()` method)
* Generator function iteration (`yield` keyword)

**Pros and Cons of Each Approach**

1. **Traditional JavaScript Object Iteration (POJO)**
	* Pros:
		+ Easy to implement and understand
		+ Works well with existing codebases
	* Cons:
		+ Can be slower due to the overhead of creating and accessing objects
		+ May not be as memory-efficient as generator functions
2. **Generator Function Iteration (Generator)**
	* Pros:
		+ More memory-efficient than traditional object iteration
		+ Can be faster due to the elimination of object creation and lookup overhead
		+ Supports asynchronous iterations
	* Cons:
		+ May require more complex implementation and understanding
		+ Not as widely supported in older browsers

**Library Used (if any)**

In this benchmark, no specific library is used. The test cases rely solely on built-in JavaScript features.

**Special JS Feature or Syntax**

The test cases utilize the following special JavaScript feature:

* Generators: The `function*` syntax and the `yield` keyword are used to define a generator function.

**Other Considerations**

This benchmark is likely intended to measure the performance difference between traditional object iteration and generator functions. By using a simple input string, the focus is on the iteration mechanism rather than other factors like memory allocation or CPU usage.

**Alternatives**

If you're interested in exploring alternative approaches for similar use cases, consider:

1. **Async Iterators**: Introduced in ECMAScript 2017, async iterators provide a more efficient and asynchronous way to iterate over sequences.
2. **Iterators**: Similar to generators but designed for synchronous iteration, iterators can be used as an alternative to traditional object iteration.
3. **Closures**: In some cases, closures can be used to implement iterative behavior, although this approach is less common than traditional object iteration or generator functions.

Keep in mind that the choice of iteration mechanism depends on your specific use case, performance requirements, and personal preference as a developer.

Related benchmarks:

Generator vs. POJO with `next()` method (version: 0)

Comparing performance of: POJO vs generator

Created: 3 years ago by: Guest

Jump to the latest result

POJO

generator

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):