Benchmark: fight to the death - for loop vs chained (1000)

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: "2026-12-05",
            site: "Liverpool",
        }
        workArr.push(pl)

    }
    return workArr
}

var workArr = createArr()
var today = new Date().toISOString().slice(0, 10)

Tests:

for loop
let pastArr = []; let futureArr = []; for (let i = 0; i < workArr.length; i++) { const pl = workArr[i]; switch(true){ case pl.startDate <= today : pastArr.push(pl); break; case futureArr.length < 1 && pl.startDate > today : futureArr = [pl]; break; case futureArr.length > 0 && pl.startDate < futureArr[0].startDate : futureArr = [pl]; break; case futureArr.length > 0 && pl.startDate === futureArr[0].startDate : futureArr.push(pl); break; } } return [...pastArr, ...futureArr]
chained arr
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
for loop
chained arr

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 two approaches for sorting an array of objects based on their `startDate` property: a traditional `for` loop and a chained array method.

**Script Preparation Code**

The script preparation code generates a random array of 1000 objects, each with a random start date between December 5, 2021, and December 5, 2026. The script also defines two variables: `rndId` for generating unique IDs and `createArr` for creating the random array.

**Benchmark Cases**

There are two benchmark cases:

1. **For Loop**: This case uses a traditional `for` loop to iterate over the array and sort it based on the `startDate` property.
2. **Chained Arr**: This case uses the chained array method (e.g., `filter()`, `sort()`) to achieve the same result.

**Pros and Cons**

Here's a brief analysis of each approach:

**For Loop**

Pros:

* Easy to understand and implement
* Can be optimized for performance

Cons:

* May not be as efficient as other approaches due to its iterative nature
* Can be slower than chained array methods for large datasets

**Chained Arr**

Pros:

* Often faster than traditional `for` loops due to its use of optimized algorithms and caching
* Can handle large datasets efficiently

Cons:

* May be less intuitive for developers who are not familiar with chained array methods
* Can be slower in older browsers or those with limited support for modern JavaScript features

**Other Considerations**

1. **Use of Date Objects**: Both benchmark cases use `Date` objects to manipulate dates. The `for` loop uses a simple comparison, while the chained arr method uses a sorting function.
2. **Randomized Data**: The benchmark uses randomized data to ensure that the results are not skewed by specific date patterns or edge cases.

**Alternative Approaches**

Some alternative approaches for sorting an array of objects based on a `startDate` property might include:

* Using a library like Lodash or Ramda, which provide optimized and consistent functions for sorting and filtering arrays.
* Utilizing modern JavaScript features like `Array.prototype.sort()` with a custom comparison function or `Array.prototype.findIndex()` to achieve the same result.
* Considering other data structures, such as a data frame or a SQL database, if the dataset is too large to fit into memory.

Overall, both the `for` loop and chained array methods have their strengths and weaknesses. The choice of approach ultimately depends on the specific requirements of the project, personal preference, and performance considerations.

Related benchmarks:

fight to the death - for loop vs chained (1000) (version: 0)

Comparing performance of: for loop vs chained arr

Created: 3 years ago by: Registered User

Jump to the latest result

for loop

chained arr

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):