Benchmark: Generate Date In A Month

Tests:

Array From
function createDateArrayInAMonth(year, month) { return Array.from( { length: new Date(year, month, 0).getDate() }, (_, i) => new Date(year, month - 1, i + 1).toLocaleString() ) } createDateArrayInAMonth(2023, 10)
new Array
function createDateArrayInAMonth(year, month) { return new Array(new Date(year, month, 0).getDate()).fill().map((_, i) => new Date(year, month - 1, i + 1).toLocaleString()) } createDateArrayInAMonth(2023, 10)
Array
function createDateArrayInAMonth(year, month) { return Array(new Date(year, month, 0).getDate()).fill().map((_, i) => new Date(year, month - 1, i + 1).toLocaleString()) } createDateArrayInAMonth(2023, 10)
for push
function createDateArrayInAMonth(year, month) { const arr = [] for (let i = 0; i < new Date(year, month, 0).getDate(); i++) { arr.push(new Date(year, month - 1, i + 1).toLocaleString()) } return arr } createDateArrayInAMonth(2023, 10)
for index
function createDateArrayInAMonth(year, month) { const arr = [] for (let i = 0; i < new Date(year, month, 0).getDate(); i++) { arr[i] = new Date(year, month - 1, i + 1).toLocaleString() } return arr } createDateArrayInAMonth(2023, 10)
While
function createDateArrayInAMonth(year, month) { const date = new Date(year, month - 1, 1) const arr = [] while (date.getMonth() === month - 1) { arr.push(new Date(date).toLocaleString()) date.setDate(date.getDate() + 1) } return arr } createDateArrayInAMonth(2023, 10)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array From
new Array
Array
for push
for index
While

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36

Browser/OS: Chrome 119 on Windows

View result in a separate tab

Test name	Executions per second
Array From	14252.9 Ops/sec
new Array	15203.5 Ops/sec
Array	14870.6 Ops/sec
for push	12916.7 Ops/sec
for index	12758.7 Ops/sec
While	14120.9 Ops/sec

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

LLMs can make mistakes. Check important info.

**Overview of the Benchmark**

MeasureThat.net is a website where users can create and run JavaScript microbenchmarks to compare the performance of different approaches in creating an array of dates within a specific month. The provided benchmark definition and test cases are designed to measure the execution speed of various methods for generating arrays of dates.

**Test Cases**

The benchmark consists of six test cases, each representing a different approach to create an array of dates:

1. **Array From**: Uses `Array.from()` method to create an array from a date range.
2. **new Array**: Creates an empty array and then fills it with the desired number of elements using the `fill()` method.
3. **Array**: Similar to the previous approach, but creates the array directly without using `fill()`.
4. **for push**: Uses a `for` loop to iterate over a date range and add each date to an empty array using the `push()` method.
5. **for index**: Similar to the previous approach, but uses a `for` loop to iterate over the indices of the array instead of dates.
6. **While**: Uses a `while` loop to incrementally create an array of dates.

**Comparison of Approaches**

Here's a brief analysis of each approach:

* **Array From** and **new Array**: These approaches are similar, but use different methods to create the initial empty array. Both approaches have their pros and cons:
	+ Pros: Efficient, simple to implement.
	+ Cons: May be slower due to the overhead of creating an empty array.
* **Array**: This approach is similar to `Array From`, but creates the array directly without using `fill()`. It may be faster since it avoids the overhead of creating an empty array.
* **for push** and **for index**: These approaches are more verbose and less efficient than the previous ones. They may be slower due to the need to iterate over the indices or dates.
* **While**: This approach is likely the slowest due to the use of a `while` loop, which can lead to slower execution.

**Libraries Used**

There are no libraries explicitly mentioned in the benchmark definition or test cases. However, some libraries like Lodash (`_`) might be used indirectly through its methods (e.g., `Array.from()`).

**Special JS Features/Syntax**

The following special JavaScript features/syntax are used:

* **Template literals**: Used to create string interpolation expressions (e.g., `"${year}-${month}-${day}"`).
* **Arrow functions**: Used to define small, anonymous functions (e.g., `(date) => ...`).

**Performance Insights**

The provided benchmark results show that the execution speed of each approach varies:

* `Array From` and `new Array` are relatively fast.
* `Array` is likely faster than `Array From` due to its direct array creation.
* `for push` and `for index` are slower than the previous approaches.
* `While` is the slowest.

These results might vary depending on the specific JavaScript engine, browser, or environment used.

Related benchmarks:

Generate Date In A Month (version: 0)

Comparing performance of: Array From vs new Array vs Array vs for push vs for index vs While

Created: one year ago by: Guest

Jump to the latest result

Array From

new Array

Array

for push

for index

While

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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