Benchmark: Creation of an Array of Date ISO Strings

Tests:

For loop + Array.push
const start = new Date("2020-06-01"); const end = new Date("2026-05-01"); let dates = []; for (let currentDate = start; currentDate <= end; currentDate.setMonth(currentDate.getMonth() + 1)) { dates.push(currentDate.toISOString().split("T")[0]); }
For loop + Spread Operator
const start = new Date("2020-06-01"); const end = new Date("2026-05-01"); let dates = []; for (let currentDate = start; currentDate <= end; currentDate.setMonth(currentDate.getMonth() + 1)) { dates = [...dates, currentDate.toISOString().split('T')[0]]; }
While + Array.push
const start = new Date("2020-06-01"); const end = new Date("2026-05-01"); let dates = []; let currentDate = start; while (currentDate <= end) { dates.push(currentDate.toISOString().split("T")[0]); currentDate.setMonth(currentDate.getMonth() + 1); }
While + Spread Operator
const start = new Date("2020-06-01"); const end = new Date("2026-05-01"); let dates = []; let currentDate = start; while (currentDate <= end) { dates = [...dates, currentDate.toISOString().split('T')[0]]; currentDate.setMonth(currentDate.getMonth() + 1); }
Array.from
const start = new Date("2020-06-01"); const end = new Date("2026-05-01"); let dates = Array.from( { length: (end.getFullYear() - start.getFullYear()) * 12 }, (_, i) => new Date(start.getFullYear(), start.getMonth() + i, 1).toISOString().split('T')[0] );

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
For loop + Array.push
For loop + Spread Operator
While + Array.push
While + Spread Operator
Array.from

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/109.0.0.0 Safari/537.36

Browser/OS: Chrome 109 on Windows

View result in a separate tab

Test name	Executions per second
For loop + Array.push	11180.5 Ops/sec
For loop + Spread Operator	9885.8 Ops/sec
While + Array.push	11469.3 Ops/sec
While + Spread Operator	9992.7 Ops/sec
Array.from	10061.9 Ops/sec

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

LLMs can make mistakes. Check important info.

**Benchmark Overview**

The provided benchmark measures the performance of different approaches to create an array of Date ISO strings within a specified date range.

**Options Compared**

The benchmark compares five different approaches:

1. **For loop + Array.push**: This approach uses a traditional for loop to iterate through each day in the specified date range, and pushes the Date ISO string into an array.
2. **For loop + Spread Operator**: This approach uses a for loop to iterate through each day in the specified date range, and uses the spread operator to append the Date ISO string to the array.
3. **While + Array.push**: This approach uses a while loop to iterate through each day in the specified date range, and pushes the Date ISO string into an array using the Array.push() method.
4. **While + Spread Operator**: This approach uses a while loop to iterate through each day in the specified date range, and uses the spread operator to append the Date ISO string to the array.
5. **Array.from**: This approach uses the `Array.from()` method to create an array of Dates within the specified date range, and then maps each Date to its ISO string.

**Pros and Cons**

Here's a brief summary of the pros and cons for each approach:

* **For loop + Array.push**:
	+ Pros: Simple and easy to understand.
	+ Cons: May be slower due to the overhead of array push operations.
* **For loop + Spread Operator**:
	+ Pros: Similar performance to Array.push, but with a more concise syntax.
	+ Cons: May have slightly lower performance due to the spread operator's overhead.
* **While + Array.push**:
	+ Pros: Can be faster than for loops due to fewer function calls.
	+ Cons: May have higher memory usage due to the array growth.
* **While + Spread Operator**:
	+ Pros: Similar performance to While + Array.push, but with a more concise syntax.
	+ Cons: May have slightly lower performance due to the spread operator's overhead.
* **Array.from**:
	+ Pros: Fast and efficient, especially for large datasets.
	+ Cons: Requires understanding of `Array.from()` and its options.

**Library and Special JS Feature**

No special JavaScript features or libraries are used in this benchmark. The benchmark focuses on demonstrating different approaches to creating an array of Date ISO strings using built-in JavaScript methods.

**Other Considerations**

When optimizing performance-critical code, it's essential to consider factors such as:

* Memory allocation and deallocation
* Function call overhead
* Array growth and shrinkage
* Cache locality

In this benchmark, the approach that performs best will likely be one that balances these considerations effectively.

Related benchmarks:

Creation of an Array of Date ISO Strings (version: 0)

Compare the performance of different ways to create an Array of Date ISO Strings

Comparing performance of: For loop + Array.push vs For loop + Spread Operator vs While + Array.push vs While + Spread Operator vs Array.from

Created: one year ago by: Guest

Jump to the latest result

For loop + Array.push

For loop + Spread Operator

While + Array.push

While + Spread Operator

Array.from

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):