Distributed Data Migration With XA Double-Write Consistency
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Solution Overview
Problem
Existing data migration methods in distributed systems require third-party tools for log data reading and replay, are prone to failure due to binlog loss, and disrupt client access during migration, affecting data consistency and user experience.
Innovation Solution
A data migration method that performs a double write operation on incremental data to both the source and target data tables using XA transactions, ensuring atomicity and consistency without relying on binlogs, allowing continuous client access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data migration methods using binlog and third-party tools are employed, then data migration can be achieved, but the system becomes prone to failure due to binlog loss and requires disruption of client access
Solution Approach 1:
The patent extracts the dependency on binlog and third-party tools by implementing a double-write mechanism that directly writes to both source and target tables. This eliminates the intermediary binlog layer that causes reliability issues and the need for service disruption.
Solution Approach 2:
The patent performs preliminary actions by pre-writing data to both the source table and target table simultaneously through XA transactions. This preliminary double-write ensures data consistency is established before migration completion, allowing seamless switching without client access disruption.
2Ease of manufacture
If binlog-based data migration is used, then data can be migrated, but the system becomes complex due to reliance on third-party tools and binlog management
Solution Approach 1:
The patent enables the database system to perform data migration autonomously through its own XA transaction mechanism, eliminating the need for external third-party tools. The double-write process is integrated into the database's native transaction system, simplifying the overall architecture.
Solution Approach 2:
The patent merges the data migration function with the existing XA transaction mechanism of the database system. By combining these functions, the system eliminates separate binlog management and third-party tool requirements, reducing overall system complexity.
3Manufacturing precision
If data migration disrupts client access to ensure consistency, then data consistency is achieved, but user experience and access efficiency deteriorate
Solution Approach 1:
The patent maintains continuity of useful action by allowing client access to continue uninterrupted during the migration process. The double-write mechanism ensures that data consistency is maintained throughout the migration, enabling seamless switching between source and target tables without stopping client operations.
4Adaptability or versatility
If reliance on third-party tools and binlog is maintained, then existing migration processes can continue, but the system lacks adaptability and increases failure risk
Solution Approach 1:
The patent achieves universality by implementing a double-write migration mechanism that works across different database scenarios using the native XA transaction system. This approach eliminates dependency on specific binlog implementations and third-party tools, making the migration method broadly applicable while improving reliability.
Data Source
AI summary
A data migration method and apparatus, a device, a distributed system and a storage medium are provided. Said method is applied to each data node in a distributed system comprising a plurality of data nodes. Said method comprises: determining, in a current data migration task, a table to be migrated of a current node, and a target data node (S101); and writing incremental data in the table to be migrated into the table to be migrated, and a target data table of the target data node, the incremental data being data obtained by performing, after the data migration task is started, a change operation on data in the table to be migrated (S102).


