What are the applications of B-trees in databases?
B-trees are widely used in databases for indexing, allowing efficient data retrieval and storage.
Can you explain how B-trees improve search performance?
B-trees maintain sorted data and allow searches, sequential access, insertions, and deletions in logarithmic time.
What advantages do B-trees have over other data structures?
B-trees are balanced, which ensures that all leaf nodes are at the same depth, providing consistent performance.
Are there specific database systems that utilize B-trees?
Yes, many relational databases like MySQL and PostgreSQL use B-trees for their indexing mechanisms.
What are some limitations of using B-trees?
B-trees can become inefficient with very large datasets or when there are frequent updates, leading to fragmentation.
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