Database Indexing Using Variant Data Types for O(1) Retrieval
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Solution Overview
Problem
Existing database indexing techniques are not universally efficient and often introduce complexity, failing to achieve optimal performance across various contexts and use cases, particularly in data storage, retrieval, and manipulation operations.
Innovation Solution
The implementation of a pre-processing operation that encodes record values to facilitate O(1) performance through the use of variant data types and deserializable serialized binary large objects, allowing for efficient indexing and retrieval, independent of the specific database implementation or data structuring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional database indexing techniques are used, then data can be stored and retrieved, but performance degrades to O(N) or linear performance in worst case scenarios
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing index structures (bitmaps, inverted indexes, or dense indexes) before data retrieval operations. These index structures are built in advance during data insertion or update operations, enabling O(1) or O(log N) retrieval performance without degrading to O(N) linear search in worst-case scenarios
Solution Approach 2:
The patent creates simplified copies of the original data in index structures that are optimized for rapid retrieval. Instead of searching the full data set, the system uses compact index copies (such as bitmap representations or inverted indexes) that enable fast lookup while maintaining the ability to retrieve complete data when needed
2Productivity
If complex indexing structures are implemented to improve retrieval performance, then lookup speed increases, but system complexity increases
Solution Approach 1:
The patent implements a universal indexing framework that can adapt to different data types and query patterns without requiring separate complex indexing systems. The same infrastructure supports multiple indexing strategies (bitmap, inverted index, dense index) and can automatically select or switch between them based on the specific use case, reducing overall system complexity while maintaining high performance
Solution Approach 2:
The patent changes key parameters of the indexing system by using variable-width bitmaps and adaptive index structures that adjust their complexity based on data characteristics. This allows the system to achieve O(1) performance for common operations while keeping the index size and computational complexity manageable through parameter optimization
3Productivity
If data is organized for efficient retrieval, then lookup performance improves, but data manipulation and update operations become more complex
Solution Approach 1:
The patent implements dynamic indexing where index structures can be efficiently updated alongside data modifications. The system uses incremental update mechanisms that maintain index consistency without requiring complete re-indexing, allowing data manipulation operations to remain straightforward while preserving fast retrieval performance through continuously maintained index structures
Data Source
AI summary
Certain example embodiments involve accessing data in a database. At least one key is associated with the data. The data is indexed based on the at least one key. The index provides key-value pairs in which keys in the key-value pairs correspond to the at least one key associated with the data and values in the key-value pairs correspond to deserializable serialized blobs generated to include the data in variant data type format. The variant data type format includes different possible equivalent representations of the data such that the data stored in the blobs is of potentially different structures. Responsive to a request received from a computing device, a database transaction is performed on the data in connection with the index and based on the received request. These techniques can be used in connection with tasks as well as data “per se.” O(1) performance is achievable in some instances.