Incremental Database Synchronization With Validation Code Recovery
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Solution Overview
Problem
Existing database systems face challenges in improving data synchronization performance and ensuring data consistency between different types of databases, leading to increased response times, development complexity, and service losses due to inconsistent data synchronization.
Innovation Solution
A data synchronization method and apparatus that synchronizes incremental operation records in chronological order, using validation codes to ensure accurate synchronization and rapid detection of exceptions, allowing for real-time recovery from synchronization issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data synchronization is performed between different types of databases, then data consistency is improved, but response time increases
Solution Approach 1:
The patent segments the data synchronization process into incremental operations, where data changes are captured and applied in small batches rather than bulk operations. This allows the system to maintain data consistency between different database types while minimizing the impact on response time through gradual, controlled synchronization steps.
Solution Approach 2:
The patent implements preliminary validation code generation before actual data synchronization occurs. By pre-validating data structures and generating validation codes in advance, the system prepares for synchronization operations, reducing the actual execution time and ensuring consistency without significant response time penalty.
2Measurement precision
If validation codes are used to detect synchronization exceptions, then detection precision is improved, but device complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where validation codes are generated from synchronized data and compared against expected values. When discrepancies are detected, the system automatically triggers exception handling and re-synchronization processes. This feedback loop provides high detection precision while managing complexity through automated response protocols.
Solution Approach 2:
The system performs self-validation through automatically generated validation codes that check the integrity of synchronized data without requiring external verification. This self-service approach enhances detection precision while minimizing the need for additional complex verification systems.
3Reliability
If automatic recovery from synchronization exceptions is implemented, then reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements automatic recovery mechanisms that detect synchronization exceptions and execute recovery procedures without human intervention. The system autonomously identifies failed synchronizations, retrieves valid data using validation codes, and re-applies corrections, thereby improving reliability while maintaining operational simplicity through automation.
Solution Approach 2:
When synchronization exceptions occur, the system automatically discards corrupted or inconsistent data and recovers by re-synchronizing from the last known good state identified through validation code comparison. This automatic discard and recover process enhances reliability while keeping the system easy to operate through transparent error handling.
Data Source
AI summary
This application provides a data synchronization method and apparatus, and relates to the field of data storage technologies. The method includes: obtaining, from an incremental log in a source database, N incremental operation record sets arranged in a chronological order, where N is an integer greater than 1, and an Nth incremental operation record set is a current to-be-synchronized incremental operation record set; determining a target incremental operation record set based on a validation code of an incremental operation record set that is before the Nth incremental operation record set, where the target incremental operation record set is an incremental operation record set that is successfully synchronized to a last time of a target database; and synchronizing an incremental operation record set in the N incremental operation record sets to the target database, where the incremental operation record set is after the target incremental operation record set.