How are B-trees implemented?

Can you explain how B-trees are implemented?

Sure! B-trees are implemented as balanced tree data structures that maintain sorted data and allow searches, sequential access, insertions, and deletions in logarithmic time.

What are the key properties of B-trees?

B-trees have several key properties: they are balanced, every node can have multiple children, and all leaf nodes are at the same level.

How do insertions work in B-trees?

Insertions in B-trees involve finding the appropriate leaf node and adding the new key. If the node exceeds its maximum capacity, it splits into two nodes.

Can you give an example of a B-tree insertion?

Certainly! If you have a B-tree of order 3 and you want to insert the keys 10, 20, and 30, the first two will fit in one node, but inserting 30 will cause a split.

What are the advantages of using B-trees?

B-trees provide efficient data retrieval, maintain balance, and minimize disk I/O operations, making them ideal for databases.