const now = new Date();
const serialized = now.toISOString();
const parsed = new Date(serialized);
const now = new Date();
const serialized = now.getTime();
const parsed = new Date(serialized);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
ISO strings | |
UNIX times |
Test name | Executions per second |
---|---|
ISO strings | 701687.1 Ops/sec |
UNIX times | 1573686.0 Ops/sec |
Benchmark Overview
MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks, comparing the performance of different approaches to achieve specific goals.
Test Case 1: ISO Strings vs. UNIX Times
In this test case, two approaches are compared:
toISOString()
, and then parses it back to a Date object.getTime()
, and then parses it back to a Date object.Pros and Cons
Library Used
No specific library is used in this benchmark, but the Date
object is a built-in JavaScript object that provides methods for working with dates.
Special JS Feature or Syntax
No special features or syntax are used in these test cases. They rely solely on standard JavaScript syntax and functionality.
Benchmark Preparation Code and HTML Preparation Code
Since there's no script preparation code or HTML preparation code provided, it's assumed that the benchmark is running without any additional setup required.
Other Alternatives
If you need to compare performance of other approaches for date serialization and parsing, some alternatives might include:
These libraries can provide different approaches to serializing and parsing dates, each with their own pros and cons. For example, Moment.js provides a wide range of date formats that can be easily used for internationalization, while Date-fns offers an efficient way to manipulate dates.
In conclusion, the MeasureThat.net benchmark provides a simple yet insightful comparison between two approaches to serializing and parsing dates in JavaScript: ISO strings versus UNIX times. Understanding these differences is essential for optimizing performance-critical code involving date manipulation.