Dynamic Table Partitioning for Multi-Node Database Load Balancing
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Solution Overview
Problem
Conventional database management systems face challenges in dynamically managing table partitions across multiple processing nodes, especially when the number and location of available partitions change, leading to inefficient data distribution and increased data traffic due to rigid partitioning structures.
Innovation Solution
A method for creating tables in a multi-node data partitioning landscape that dynamically adjusts the number and location of partitions based on available processing nodes, using load balancing and semantic information to ensure efficient data distribution and minimize cross-node data traffic, by employing partitioning specifications such as round robin or hash partitioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If rigid partitioning structures are used in conventional database management systems, then partition locations are fixed and predictable, but data traffic increases and data distribution becomes inefficient when the number and location of available partitions change
Solution Approach 1:
The patent implements dynamic partition assignment where partition locations are not fixed but determined at runtime based on the current state of processing nodes. The system queries available processing nodes and dynamically assigns partitions to optimize data distribution, allowing the partitioning structure to adapt when hardware configurations change without requiring manual reconfiguration or causing excessive data traffic.
2Productivity
If dynamic partition adjustment is implemented, then data distribution efficiency improves and data traffic reduces, but system complexity increases due to runtime node querying and partition assignment logic
Solution Approach 1:
The system implements self-service partition assignment where the database management system automatically queries available processing nodes and assigns partitions without external intervention. The runtime environment automatically provides information about available nodes, and the system autonomously makes partition assignment decisions based on current system state, reducing the need for complex manual configuration management while maintaining dynamic adaptability.
Data Source
AI summary
A table creation request pertaining to a table in a database maintained on a multi-node data partitioning landscape that comprises a plurality of processing nodes can specify a number of partitions to be generated. At run time, a currently available number of processing nodes in the multi-node data partitioning landscape can be queried, and this currently available number of processing nodes can be compared with the specified number of partitions to be generated for the created table. The table can be generated with the specified number of partitions such that the generated partitions are located across the plurality of partitions according to a load balancing approach if the number of processing nodes equals the number of partitions to be generated or according to other information in the table request if the number of processing nodes does not equal the specified number of partitions.