Final answer:
The best method for storing row data in sorted order is using a balanced binary search tree, such as AVL or red-black trees, which maintain sort order dynamically. Alternatively, heaps or arrays with sorting algorithms like quicksort can be used, and databases can maintain sort order through indexed columns.
Step-by-step explanation:
The best method to store row data in sorted order depends on the context and specific requirements of the application. For most use cases, using a data structure that maintains the sort order as elements are inserted and removed is efficient. This can often be achieved using a balanced binary search tree, such as an AVL tree or a red-black tree. These trees keep the row data in sorted order and support insertion, deletion, and look-up operations in logarithmic time complexity. Another option is to use a min-heap or max-heap, which preserves the smallest or largest element, respectively, at the root, but doesn't sort all elements completely. However, if real-time sorting isn't a concern, you could simply store your data in an array or list and sort it using an algorithm like quicksort or mergesort when needed. When working with databases, employing indexed columns ensures that the data is stored in a specific order, and updates to the data will maintain the order based on the index.