Lagging Replica Validation for Real-Time Database Rollback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data validation solutions are not designed for real-time validation, leading to delayed data availability and inefficient storage usage, and lack configurability for custom validations, often relying on costly in-house tools.
Innovation Solution
Implementing a data validation system using a lagging replica database that injects a configurable time delay into the replication process, allowing real-time validation and prevention of problematic updates, with features like snapshot generation and dynamic delay adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If out-of-band data validation is implemented, then data quality control is achieved, but storage resources are wasted and data availability is delayed
Solution Approach 1:
The patent applies preliminary action by performing data validation in advance during the replication process. A validation function is invoked on the source database before data is replicated to the target database, ensuring data quality issues are detected and prevented before they propagate. This eliminates the need for separate out-of-band validation that would delay data availability.
Solution Approach 2:
The patent introduces an intermediary validation function that acts as a mediator between the source and target databases during replication. This validation function intercepts data in transit, performs quality checks, and either allows or blocks replication based on validation results. This intermediary approach enables real-time validation without requiring separate storage staging areas.
2Reliability
If out-of-band data validation is used, then data quality control is achieved, but large storage capacity is required to stage incoming data
Solution Approach 1:
The validation function performs data quality checks in advance during the replication process itself, eliminating the need for separate staging storage areas. By validating data as it is being replicated rather than storing it first for later validation, the system avoids requiring large storage capacity for staging incoming data.
Solution Approach 2:
The patent extracts the validation logic from separate out-of-band processes and integrates it directly into the replication mechanism. This extraction eliminates the need for dedicated storage infrastructure for staging data, as validation occurs inline during data transfer rather than requiring separate storage resources.
3Reliability
If in-house validation tools are used, then data validation capability is achieved, but development and maintenance costs are high
Solution Approach 1:
The patent implements a universal validation function that can be applied to multiple data types and replication scenarios through a common interface. The validation function accepts configurable criteria and can validate various data formats without requiring custom in-house tools for each case. This multi-functional approach reduces development and maintenance costs by providing a single reusable validation mechanism.
Solution Approach 2:
The patent uses copying by implementing validation logic that can be replicated and reused across different replication operations. Instead of developing separate validation tools for each use case, the same validation function is copied and applied to different data types and scenarios through configuration, significantly reducing development and maintenance overhead.
4Speed
If standard replication is used, then data propagation speed is maintained, but data integrity cannot be ensured
Solution Approach 1:
The patent performs data integrity validation in advance during the replication process itself, not after data propagation. By invoking the validation function on the source database before replication occurs, the system ensures data integrity is verified while maintaining propagation speed, as invalid data is prevented from being replicated in the first place.
Solution Approach 2:
The validation function serves as an intermediary between source and target databases during replication, checking data integrity without significantly impacting propagation speed. This intermediary validation occurs inline during the data transfer process, allowing the system to maintain fast propagation while ensuring integrity through real-time validation checks.
Data Source
AI summary
A real-time data validation system prevents problematic updates from being replicated from a primary database to a replica database. The data validation system may inject a time delay into the replication process, so that when an update in a replication stream fails a specified data validation, the data validation system will prevent the update from being applied to the replica. The replication process may be halted to take snapshot of the replica database during the halt, and resumed after the snapshot. Accordingly, if the problematic update is later confirmed to be invalid, the replica database can be rolled back to a point before the problematic update. Advantageously, the disclosed system can be used to implement a variety of data validations on top of a database replication process to protect the replica database from receiving undesired updates.