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Splitting Non Leaf nodes, Terminolgoy: B Trees Video Lecture | Database Management System (DBMS) - Computer Science Engineering (CSE)
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62 videos|66 docs|35 tests
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FAQs on Splitting Non Leaf nodes, Terminolgoy: B Trees Video Lecture - Database Management System (DBMS) - Computer Science Engineering (CSE)
| 1. What is the significance of splitting non-leaf nodes in B-trees? |  |
Ans. Splitting non-leaf nodes in B-trees is essential for maintaining the balance and efficiency of the tree structure. When a non-leaf node becomes full, it needs to be split to accommodate new keys and maintain the properties of a B-tree.
| 2. How is a non-leaf node split in a B-tree? | |
Ans. When a non-leaf node is split in a B-tree, the median key is promoted to the parent node, and the remaining keys are distributed evenly between two new child nodes. The pointers are also adjusted accordingly to maintain the tree structure.
| 3. What is the impact of splitting non-leaf nodes on B-tree operations? | |
Ans. Splitting non-leaf nodes can affect the performance of B-tree operations such as insertion and deletion. It helps in maintaining the balance of the tree and ensures that search operations can be performed efficiently by reducing the height of the tree.
| 4. How does splitting non-leaf nodes affect the height of a B-tree? | |
Ans. By splitting non-leaf nodes in a B-tree, the height of the tree can be reduced, leading to faster search operations. When non-leaf nodes are split, the tree becomes more balanced, and the depth of the tree is minimized, resulting in improved performance.
| 5. Is splitting non-leaf nodes a common operation in B-trees? | |
Ans. Yes, splitting non-leaf nodes is a common operation in B-trees, especially when the tree is dynamically updated with new keys. It helps in maintaining the structure and balance of the tree, ensuring efficient search and retrieval operations.
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Nov 22, 2024 Last updated |
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