Benchmark: the battle to he death

Script Preparation code:

const randomStDate = () => {
    const randD = new Date(new Date("2021-12-05").getTime() + Math.random() * (new Date("2026-12-05").getTime() - new Date("2023-12-05").getTime()))
    let month = '' + (randD.getMonth() + 1);
    let day = '' + randD.getDate();
    let year = randD.getFullYear();
    if (month.length < 2) month = '0' + month;
    if (day.length < 2) day = '0' + day;
    return [year, month, day].join('-');

};

const rndId = Math.floor(Math.random() * (100000000 - 1 + 1) + 1)

const createArr = () => {
    let workArr = []
    for (let i = 0; i < 1000; i++) {
        const pl = {
            tisId: rndId,
            startDate: randomStDate(),
            endDate: randomStDate(),
            site: "Liverpool",
        }
        workArr.push(pl)

    }
    return workArr
}

var workArr = createArr()

Tests:

loop
let pastArr = []; let futureArr = []; for (let i = 0; i < workArr.length; i++) { const pl = workArr[i]; const futPl = futureArr[0]; if (new Date() > new Date(pl.startDate)) { pastArr = [...pastArr, pl]; } else { if (futureArr.length < 1) { futureArr = [pl]; } else if (new Date(pl.startDate) < new Date(futPl.startDate)) { futureArr = [pl]; } else if (pl.startDate === futPl.startDate) { futureArr = [...futureArr, pl]; } } } return [...pastArr, ...futureArr];
chained array
const today = new Date().toISOString().slice(0,10) const firstFutureWorks = workArr .filter(w => w.startDate > today) .sort((a, b) => (a.startDate > b.startDate ? 1 : -1)); const nextFutureDate = firstFutureWorks[0] ? firstFutureWorks[0].startDate : today; return workArr.filter(w => w.startDate <= nextFutureDate);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
loop
chained array

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's dive into the benchmark.

**Benchmark Overview**

The provided benchmark measures the performance of two JavaScript functions: `loop` and `chained array`. The benchmark is designed to simulate a real-world scenario where data needs to be processed in a specific order.

**Script Preparation Code**

The script preparation code generates an array of objects (`workArr`) with random dates. Each object has three properties: `tisId`, `startDate`, `endDate`, and `site`.

**Options Compared**

Two options are compared:

1. **Loop**: The first option, labeled as "loop", uses a traditional for loop to iterate over the `workArr` array. Inside the loop, it checks if the current date is greater than the `startDate` of each object in `workArr`. If true, it adds the object to the `pastArr` array.
2. **Chained Array**: The second option, labeled as "chained array", uses a chained array method to filter and sort the `workArr` array. It first filters out objects with dates before the current date and then sorts them by their `startDate`.

**Pros and Cons**

* **Loop**:
	+ Pros: Simple and easy to understand.
	+ Cons: May be slower due to the overhead of checking each object's date.
* **Chained Array**:
	+ Pros: More concise and potentially faster since it uses optimized array methods.
	+ Cons: Less readable and may require more expertise in JavaScript.

**Library**

The `Date` object is used extensively throughout both options. The `Date` object provides a way to represent dates and times in JavaScript. Its purpose is to provide a standardized way of working with dates, including formatting and parsing date strings.

**Special JS Feature or Syntax**

None are mentioned explicitly in the benchmark code.

**Other Considerations**

Both options have different time complexities:

* **Loop**: O(n^2) due to the overhead of checking each object's date.
* **Chained Array**: O(n log n) since it uses optimized array sorting and filtering methods.

The `chained array` option is likely expected to perform better than the traditional loop, but actual performance may vary depending on specific use cases and hardware.

**Alternatives**

Other alternatives for implementing this benchmark could include:

* Using a library like Lodash or Ramda to provide more concise and readable functions.
* Employing a different data structure, such as an object-oriented approach using classes or a more efficient data structure like a trie.
* Utilizing parallel processing techniques to take advantage of multi-core CPUs.

Keep in mind that the choice of alternative will depend on specific requirements, performance considerations, and personal preference.

Related benchmarks:

the battle to he death (version: 0)

Am I going mad?

Comparing performance of: loop vs chained array

Created: 3 years ago by: Guest

Jump to the latest result

loop

chained array

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):