Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
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:
3 years ago
by:
Guest
Jump to the latest result
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>
Run tests (5)
Previous results
Fork
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:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**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:
new Date from UNIX timestamp vs new Date from ISO string
Date serialization+parsing of strings vs. numbers
new Date from UNIX timestamp (ms) vs new Date from ISO string
new Date from UNIX timestamp vs ISO string
Comments
Confirm delete:
Do you really want to delete benchmark?