Automated Database Migration with Real-Time Sync
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional data migration techniques result in long database downtimes and inefficiencies due to the need for disabling features and reloading vast amounts of data, which is not suitable for complex database ecosystems with minimal downtime requirements.
Innovation Solution
An automated method for synchronous data migration that involves parsing source databases to identify characteristics, categorizing data tables, validating, copying, detecting errors, and initiating corrective actions, allowing for real-time synchronization between live and target databases with minimal downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional data migration techniques are used to extract and reload vast amounts of data, then data transfer can be completed, but database downtime becomes excessively long
Solution Approach 1:
The patent segments the database into multiple data tables and further divides them into groups based on characteristics. Each group is migrated separately using parallel migration processes, allowing the migration to proceed in concurrent segments rather than as a single sequential operation. This segmentation enables the system to maintain data availability for non-migrated portions while reducing overall migration time.
Solution Approach 2:
The patent implements continuous data synchronization during the migration process by maintaining the source database in a read-only state and using trigger-based mechanisms to capture and replicate data changes in real-time. This allows the migration to proceed continuously without requiring complete database shutdown, thereby minimizing downtime while ensuring data consistency.
2Productivity
If conventional data migration techniques are used to ensure data transfer efficiency, then data can be migrated, but many database features must be disabled during migration
Solution Approach 1:
The patent extracts and isolates the migration-specific operations from the main database system by creating a separate target database instance. Database features and operations are selectively enabled only in the target environment where they are needed for migration, while the source database maintains its full feature set for continued operational use. This extraction allows efficient migration operations without disabling features in the production system.
Solution Approach 2:
The patent introduces an intermediary migration management system that coordinates between the source and target databases. This intermediary layer handles data synchronization, trigger management, and feature configuration, allowing the source database to remain fully functional while the target database receives migrated data with appropriate features enabled. The intermediary resolves the conflict between maintaining source database adaptability and enabling target database productivity.
3Reliability
If vast amounts of data are migrated using conventional techniques, then complete data transfer is achieved, but the migration process becomes extremely time-consuming
Solution Approach 1:
The patent divides the vast data set into multiple data tables and organizes them into groups that can be migrated in parallel. By segmenting the migration workload across multiple concurrent processes, the system transfers complete data while reducing the overall duration through parallel execution rather than sequential processing.
Solution Approach 2:
The patent performs preliminary actions including parsing source databases to identify characteristics, categorizing data tables into groups, and setting up parallel migration processes before actual data transfer begins. This preliminary preparation enables the subsequent data migration to proceed more efficiently through pre-configured parallel pathways, reducing the duration of the main migration process while ensuring complete data transfer.
4Loss of time
If automated synchronous data migration is implemented with real-time synchronization, then minimal database downtime is achieved, but the system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms through trigger-based data capture systems that monitor the source database for changes and automatically replicate them to the target database in real-time. This feedback loop ensures data consistency without requiring manual intervention or complex coordination, reducing the perceived system complexity while achieving minimal downtime through automated real-time synchronization.
Data Source
AI summary
A method for facilitating automated synchronous data migration in live databases is disclosed. The method includes parsing a source database to identify characteristics, the characteristics corresponding to data tables in the source database; categorizing the data tables into groups based on the identified characteristics; validating the data tables in the groups by performing several tests; copying the groups to a target database based on a result of the validating; reviewing the copied groups to detect errors; and automatically initiating corrective actions in response to the detected errors. Additionally, the method further includes receiving new data sets from an application for persistence in the source database, the source database corresponding to a live database; generating duplicate data sets that correspond to the new data sets; and synchronously persisting, in real-time, the new data sets in the source database and the duplicate data sets in the target database.