Low-Latency Key Architecture for Database Rebuild Speed
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Solution Overview
Problem
Conventional enterprise systems experience significant disruptions and downtime due to power outages or operational interruptions, requiring time-consuming database rebuilds, which leads to longer outages and reduced responsiveness.
Innovation Solution
A low-latency key architecture for database structures based on natural keys and their hashes, enabling parallelized building and rebuilding, utilizing processors optimized for parallel operations to generate unique identifiers and link fact and dimensional objects efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional database structures are used, then data integrity and reliability are maintained, but system downtime and rebuild time increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing hash values of natural keys during the initial database build process. When a rebuild is needed, these pre-stored hashes enable rapid verification and reconstruction of data relationships without requiring time-consuming recomputation, thus maintaining data integrity while minimizing downtime.
Solution Approach 2:
The patent uses copying by creating hash copies of natural keys that serve as surrogate identifiers. These hash copies can be rapidly generated and used to reconstruct database relationships during rebuild operations, preserving data integrity through verified hash matching while enabling faster recovery than conventional methods.
2Manufacturing precision
If conventional sequential database build processes are used, then data accuracy is ensured, but build speed and productivity are reduced
Solution Approach 1:
The patent applies segmentation by dividing the database build process into independent parallel tasks that can operate simultaneously. Different processor cores can work on different portions of the database using the same hash-based key architecture, ensuring data accuracy through consistent hashing while achieving 100x speedup through parallel execution of segmented build operations.
Solution Approach 2:
The patent changes the fundamental parameter of key representation from raw natural keys to computed hash values. This parameter transformation enables both high-speed parallel processing and accurate data matching, as hashes provide deterministic, collision-resistant identifiers that can be rapidly compared and processed in parallel without sacrificing data accuracy.
3Productivity
If natural keys and hash architecture are implemented, then database rebuild speed increases 100 times, but system complexity increases
Solution Approach 1:
The patent introduces hash values as intermediary elements between natural keys and database records. These hash intermediaries simplify the overall architecture by providing a standardized, compact representation that enables fast parallel processing while maintaining referential integrity. The hash layer acts as a mediator that decouples the complexity of natural key management from the core database operations.
Solution Approach 2:
The hash-based key architecture serves multiple functions simultaneously: it provides unique identifiers, enables rapid parallel processing, ensures data integrity through verification, and supports both sequential and parallel build modes. This multi-functionality reduces the need for separate mechanisms for each operation, thereby managing complexity while achieving 100x rebuild speed improvement.
4Speed
If parallelized database operations are implemented, then responsiveness and speed improve, but risk of data inconsistency increases
Solution Approach 1:
The patent implements feedback through hash verification mechanisms that continuously check data consistency during parallel operations. Each parallel thread computes and verifies hashes of natural keys, providing immediate feedback on data integrity. This feedback loop ensures that even during high-speed parallel rebuild operations, data consistency is maintained and any inconsistencies are detected and corrected.
Data Source
AI summary
Methods and systems described herein are directed at least to a system to generate a database structure with a low-latency key architecture. The system can identify one or more natural keys of at least one dimensional object, the dimensional object corresponding to at least a portion of a database structure, identify at least one dependency of at least one fact object on the dimensional object, the fact object corresponding to the database structure, generate, based on one or more of the natural keys, at least one dimensional identifier associated with the dimensional object, assign, to the dimensional object, the dimensional identifier to the dimensional object, and link, concurrently with the assigning, the fact object to the dimensional object by associating the dimensional identifier with the fact object, to generate the database structure.