Flexible Index Nodes in Graph Databases
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Solution Overview
Problem
Graph databases face limitations in index management, as traditional indexes are maintained and operated using different mechanisms than the database contents, leading to inflexibility and resource inefficiency, with limited ability to control what is indexed and where, resulting in high overhead and storage usage.
Innovation Solution
The introduction of flexible index nodes in graph databases, managed using the same rules and operators as regular nodes, allowing for creation, modification, and deletion according to application logic, enabling efficient resource utilization and configurable indexing scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional indexing systems are used in graph databases, then index management is separated from database content management, but this leads to device complexity and resource overhead
Solution Approach 1:
The patent merges index management with database content management by treating indexes as first-class graph objects. Indexes are represented as nodes within the graph database itself, allowing the same query operators and management mechanisms to handle both data and indexes uniformly, thereby reducing system complexity while maintaining reliable index management
2Ease of manufacture
If traditional indexes manage all entries uniformly, then indexing is simple to implement, but this results in loss of information and resource inefficiency
Solution Approach 1:
The patent applies local quality by allowing different portions of the graph database to have different indexing characteristics. Individual nodes can be selectively indexed based on their importance, access patterns, and data characteristics. This enables fine-grained control over what is indexed, reducing resource consumption while maintaining implementation flexibility through graph query operations
3Reliability
If indexes are maintained using different mechanisms than database contents, then index operations are specialized, but this increases device complexity and reduces adaptability
Solution Approach 1:
The patent implements universality by designing a system where the same graph query operators and management mechanisms serve both data retrieval and index operations. Index nodes are treated as regular graph nodes, allowing unified management through cypher queries and other graph database operations, thereby achieving both specialization through graph-optimized operations and versatility through uniform management interfaces
Data Source
AI summary
A processing device generates an index node for an attribute in a graph database, wherein the index node is linked to a second node by a first edge having a first edge type. The processing device determines a first plurality of additional nodes that have the attribute. For each node of the first plurality of additional nodes, the processing device generates an edge linking the node to the index node, wherein the edge comprises a second edge type.