Variable-Length Tree Database Repair via Selective Leaf Block Recovery
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Solution Overview
Problem
Existing data storage systems, particularly in cloud computing environments, face inefficiencies in repairing tree databases with variable-length records, as traditional methods often require complete system replacement, leading to excessive disk read operations and resource consumption, especially when dealing with minor damages or corruptions.
Innovation Solution
A method that iterates through the variable-length tree database block by block, detects recoverable leaf blocks, reduces them to legally formatted contents, removes branch blocks, and rebuilds them as necessary to provide a lookup and organizational index, allowing for efficient recovery and indexing of records without replacing the entire system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire data system is completely rebuilt block-by-block to repair data loss or failures, then data integrity is ensured, but excessive disk read operations and resource consumption occur
Solution Approach 1:
The patent segments the repair process by identifying and isolating only the corrupted blocks that need repair, rather than rebuilding the entire data system. The system divides the storage space into discrete blocks and selectively processes only those blocks containing errors, significantly reducing the scope of repair operations.
Solution Approach 2:
The patent extracts and removes only the necessary metadata and branch blocks required for the repair operation, rather than processing the complete data system. By taking out only the essential components needed for reconstruction, the system minimizes disk read operations while ensuring data integrity.
2Reliability
If the entire data system is completely rebuilt to repair minor damages, then all data is correctly formatted and inserted, but time and resources are unnecessarily consumed
Solution Approach 1:
The patent applies partial action by performing only the minimum necessary repair operations to correct corrupted blocks. Instead of executing a complete system rebuild, the system performs selective metadata extraction and branch block removal only where needed, reducing repair time while maintaining data correctness.
Solution Approach 2:
The patent performs preliminary actions by first identifying corrupted blocks and extracting necessary metadata before executing the repair operation. This preliminary assessment allows the system to prepare only the essential components needed for repair, avoiding unnecessary processing time.
3Reliability
If complete system replacement is performed to locate and repair failed data, then all data is recovered, but the process is ineloquent and excessive for minor damages
Solution Approach 1:
The patent segments the repair process into distinct phases: identifying corrupted blocks, extracting necessary metadata, removing branch blocks, and reconstructing only the affected portions. This segmentation simplifies the overall repair process by breaking down the complex task of system recovery into manageable, targeted operations.
Solution Approach 2:
The patent uses metadata as an intermediary to facilitate the repair process. By extracting and utilizing metadata information, the system can locate and repair corrupted blocks without needing to perform a complete system replacement, thereby simplifying the repair process while ensuring complete data recovery.
Data Source
AI summary
Presented herein are methods, non-transitory computer readable media, and devices for efficiently repairing tree databases with variable-length records. Methods for repairing tree databases with variable-length records are disclosed which include: iterating the tree database, detecting at least one recoverable leaf block, reducing the at least one recoverable leaf block to its legally formatted contents, and writing the at least one recoverable leaf block back into the tree database; processing the at least one recoverable leaf block to ensure the at least one recoverable leaf block represents a disjoint region within a record space within the tree database; and rebuilding branch blocks as necessary to provide a lookup and organizational index for the at least one recoverable leaf block.