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DSA · Theory

B+ Tree Deletion

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Theory

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B+ Tree Deletion

If you can teach B+ Tree Deletion using folder on disk, you know it. If you only know the heading, you don’t.

For B+ Tree Deletion, Big-O is in play. Don’t blame it until you have traced folder on disk.

Without B+ Tree Deletion, a file explorer gets messy and folder on disk is hard to trust.

B+ Tree Deletion shows up in a file explorer. Name folder on disk, not “a real-world scenario”.

B+ Tree Deletion trap — unbalanced BST becoming a list. Priya loses marks for that every viva.

B+ Tree Deletion is not a lonely heading. Priya ties it to folder on disk.

Close B+ Tree Deletion with — “If I skip it, folder on disk goes wrong like this: unbalanced BST becoming a list.”

Exam tip

Say B+ Tree Deletion in one breath, then left < root < right, then unbalanced BST becoming a list.

Example

# B+ Tree Deletion
data = [4, 1, 3]
print("start", data)
if data[0] > data[1]:
    data[0], data[1] = data[1], data[0]
print("after one step", data)

B+ Tree Deletion: dry-run [4, 1, 3]. Say the list after one step.

Short notes

  • DefB+ Tree Deletion — Priya uses it for folder on disk in a file explorer.
  • RuleB+ Tree Deletion → left < root < right.
  • RememberB+ Tree Deletion + Big-O (a file explorer).
  • UseB+ Tree Deletion in a file explorer (folder on disk).
  • TrapB+ Tree Deletion — unbalanced BST becoming a list.
  • ExB+ Tree Deletion → folder on disk.

Questions

1

Priya asks: why does B+ Tree Deletion exist? Use folder on disk.

2

When would Priya actually reach for B+ Tree Deletion?

3

How do you catch unbalanced BST becoming a list?

4

Dry-run left < root < right and say the result.

Previous← Double Ended Priority QueueNextB+ Tree Insertion →
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