Question
Download Solution PDFNon leaf nodes of B+ tree structure form a :
Answer (Detailed Solution Below)
Detailed Solution
Download Solution PDFThe correct answer is Multilevel sparse indices.
Key Points
- Non-leaf nodes of a B+ tree structure form multilevel sparse indices, which are crucial for its efficiency and performance.
- In a B+ tree, all the actual data records are stored in the leaf nodes, while the non-leaf nodes (or internal nodes) store the keys that act as pointers to guide the search process.
- The non-leaf nodes do not store every key, only enough to direct the search to the appropriate leaf node, making the indices sparse.
- This structure helps in reducing the height of the tree, thus speeding up the search, insert, and delete operations.
- Multilevel indexing means that the tree is structured in multiple levels (root, intermediate levels, and leaf nodes), where each level helps narrow down the search space progressively.
- The B+ tree is a balanced tree, meaning all the leaf nodes are at the same level, which ensures consistent and predictable performance.
Additional Information
- B+ trees are widely used in database indexing and file systems due to their efficiency in handling large amounts of data.
- They are an extension of B-trees, with the primary difference being that in B+ trees, all values are stored at the leaf level, and internal nodes only store keys.
- This structure ensures that sequential traversal of the data can be done efficiently by following the linked leaf nodes.
- Because of the multilevel sparse indexing, B+ trees are well-suited for range queries and ordered traversals.
- B+ trees maintain balance by splitting and merging nodes as necessary during insertions and deletions, ensuring that the tree remains balanced with minimal height.
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