Coordinator Node Synchronization Tokens for Distributed Database Consistency
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Solution Overview
Problem
Distributed database systems face challenges in maintaining transactional consistency and scalability due to frequent inter-node network communications, which can lead to performance issues and inconsistencies in data access across multiple hosts.
Innovation Solution
A distributed transaction protocol that uses a coordinator node and worker nodes to manage global synchronization tokens and snapshots, allowing for asynchronous communication and optimized inter-node coordination, such as requesting and receiving synchronization tokens, and incrementing commit IDs to ensure transactional consistency without compromising performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequent inter-node network communications are used to ensure transactional consistency in distributed database systems, then data consistency across multiple hosts is improved, but system performance and latency are adversely affected
Solution Approach 1:
The patent segments the distributed database system into coordinator nodes and worker nodes with distinct responsibilities. The coordinator node manages transaction coordination and consistency, while worker nodes handle data processing and execution. This segmentation allows each node to specialize in specific functions, reducing the coordination overhead and improving overall system performance while maintaining transactional consistency.
Solution Approach 2:
The patent introduces coordinator nodes as intermediaries between worker nodes to manage transaction coordination. Instead of requiring direct communication between all worker nodes for consistency checks, the coordinator node acts as a central mediator that receives pre-commit notifications, assigns commit IDs, and sends commit commands. This intermediary approach significantly reduces the number of inter-node communications required while ensuring transactional consistency across the distributed system.
2Productivity
If distributed database operations are coordinated among multiple hosts to enhance system performance, then workload distribution is improved, but coordination overhead between hosts increases
Solution Approach 1:
The system segments database tables and workloads across multiple worker nodes, allowing each node to process local data independently. This segmentation enables efficient workload distribution while minimizing the need for cross-node coordination during data processing operations, thereby reducing coordination overhead.
Solution Approach 2:
Worker nodes are designed to perform self-service operations for local data processing and transaction execution. Each worker node can independently execute queries and processes on its local data partitions without requiring constant coordination with other nodes. The nodes only need to coordinate with the coordinator node for transaction commit operations, significantly reducing overall coordination overhead while maintaining effective workload distribution.
Data Source
AI summary
Technologies are described for facilitating transaction processing within a database environment having a coordinator node, a first worker node, and at least a second worker node. The first worker node sends a request from to the coordinator node for at least a first synchronization token maintained by the coordinator node. The first worker node receives the at least a first synchronization token from the coordinator node. The first worker node assigns the at least a first synchronization token to a snapshot as a snapshot ID value. The snapshot is executed at the first worker node. The first worker node forwards the snapshot ID value to the at least a second worker node.