B+ Tree Non-Leaf Node Caching for SQL Index Maintenance
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Solution Overview
Problem
The performance of SQL operations in relational databases is hindered by the increasing number of indexes, leading to higher index maintenance costs and resource consumption, particularly when traversing from the root to leaf nodes in tree structures during operations like insertion, search, and deletion.
Innovation Solution
A method and apparatus for performing operations in a tree structure, specifically a B+ tree, where non-leaf nodes are utilized to cache records and maintain keys in ascending order, reducing the need to traverse from the root to leaf nodes, thereby minimizing index maintenance costs and resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If indexes are increased to improve SQL query performance, then data retrieval efficiency is improved, but index maintenance cost and resource consumption increase
Solution Approach 1:
The patent segments the index structure into multiple levels (root node, intermediate nodes, and leaf nodes), allowing operations to be performed on specific segments rather than the entire index. This segmentation enables parallel processing and reduces the scope of maintenance operations, thereby improving query performance while reducing maintenance overhead.
Solution Approach 2:
The patent introduces a hierarchical dimension to the index structure by organizing indexes into multiple levels. This dimensional change allows the system to perform operations more efficiently by operating on smaller subsets of the index at each level, reducing the overall maintenance cost while maintaining high retrieval performance.
2Reliability
If tree structure traversal from root to leaf nodes is performed for each operation, then data integrity is maintained, but operation time and resource consumption increase
Solution Approach 1:
The patent performs preliminary actions by pre-organizing data into a hierarchical tree structure with root, intermediate, and leaf nodes. This preliminary organization allows operations to start from the appropriate level rather than always traversing from the root, significantly reducing operation time while maintaining data integrity through the structured hierarchy.
Solution Approach 2:
The patent introduces dynamic operation paths in the tree structure, allowing operations to adaptively start from different levels based on the specific operation requirements. This dynamic approach maintains data integrity through the hierarchical structure while optimizing operation time by avoiding unnecessary traversals from the root node.
3Quantity of substance
If non-leaf nodes are used for caching records, then memory utilization is improved, but tree structure complexity increases
Solution Approach 1:
The patent makes non-leaf nodes multi-functional by enabling them to serve both as structural intermediaries for maintaining the tree hierarchy and as caching storage for records. This universality improves memory utilization without requiring separate caching structures, and the hierarchical organization naturally manages the complexity through well-defined node roles and operations.
Data Source
AI summary
A computer-implemented method for performing an operation in a tree structure is provided according to embodiments of the present disclosure. In the computer-implemented method, an operation to be performed in a tree structure may be received. The tree structure may comprise a plurality of non-leaf nodes and a plurality of leaf nodes. The operation may be associated with a record comprising a pair of key and value. One of the non-leaf nodes may be determined based on the key of the record. Then, the operation may be performed in the determined non-leaf node.