Sorting Based on Multiple Criteria
In many applications, you may need to sort data based on multiple criteria or "keys." For example, you may need to sort a list of tickets by status, then by due date, and finally by due time. In this article, we’ll show you how to achieve multiple-level sorting using JavaScript.
Scenario
Let’s say you have a list of tickets, and each ticket has three important attributes:
Status: The current status of the ticket (e.g., OPEN, IN_PROGRESS).
Due Date: The date by which the ticket is expected to be completed.
Due Time: The specific time on the due date.
You want to sort these tickets based on:
Status: Tickets should be ordered from the most urgent to the least urgent.
Due Date: Tickets with the soonest due date should come first.
Due Time: If two tickets share the same due date, they should be further sorted by their due time, with the latest time coming first.
Code Implementation
Here’s how you can implement this multi-level sorting in JavaScript:
Explanation
Sorting by Status: The
statusOrder
object defines a numerical order for the ticket statuses. Tickets are sorted based on their status, from most urgent (OPEN) to least urgent (CANCEL).Sorting by Due Date: After sorting by status, tickets are further sorted by their
dueDate
. Thenew Date(a.dueDate)
converts the due date string into a Date object for accurate comparison, ensuring tickets with earlier due dates come first.Sorting by Due Time: If two tickets have the same due date, they are further sorted by
dueTime
. TheconvertToMinutes
function converts the time string into minutes, allowing us to compare the times directly. The result is that tickets with later due times appear first.
Example Usage
Here’s an example of how the sorting function works:
Output
Conclusion
In situations where you need to sort data based on multiple criteria, you can use this method to chain sorting conditions. By sorting first by one key (e.g., status), and then by additional keys (e.g., due date and due time), you can ensure that the data is ordered exactly as needed.
This approach is highly useful when working with complex datasets in applications like task management, project tracking, or event scheduling.
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