Client-Side Transaction Token Caching for Distributed Database Consistency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Distributed database systems face challenges in managing transactions across multiple nodes, particularly in maintaining data consistency and concurrency control, as existing methods like snapshot isolation struggle with efficient version management and transaction token handling.
Innovation Solution
Implementing a system with multi-version concurrency control, where each transaction is assigned a transaction token for snapshot isolation, allowing database nodes to manage multiple versions of data and coordinate transactions across nodes, enabling efficient query execution and commit operations without requiring continuous token requests from a coordinator node.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If snapshot isolation with transaction tokens is implemented in distributed database systems, then data consistency and concurrency control are improved, but the overhead of token management and coordination increases
Solution Approach 1:
The client device caches the transaction token before executing subsequent read queries, performing the token acquisition action in advance. This preliminary caching eliminates the need for repeated token requests during the transaction, reducing coordination overhead while maintaining snapshot isolation guarantees for consistent reads across multiple queries.
Solution Approach 2:
The client device autonomously manages the transaction token by caching it locally and reusing it for multiple read queries without requiring continuous coordination with the database node. This self-service approach to token management reduces the burden on the database system while maintaining data consistency.
2Reliability
If continuous token requests are made from coordinator node for each query, then data consistency is maintained, but communication overhead and query execution time increase
Solution Approach 1:
The transaction token is obtained and cached in advance before executing multiple read queries. This preliminary action eliminates the need for repeated communication rounds between the client and coordinator node, significantly reducing query execution time while maintaining consistency through the cached token's snapshot isolation guarantees.
Solution Approach 2:
The cached transaction token enables continuous execution of multiple read queries without interruption for token re-requests. This continuity of useful action maintains data consistency across all queries in the transaction while eliminating communication overhead between queries, improving overall query execution efficiency.
3Productivity
If multiple versions of data are maintained for snapshot isolation, then concurrency control is improved, but storage requirements and version management complexity increase
Solution Approach 1:
The patent extracts only the essential transaction token (containing the snapshot timestamp) from the full data versions and caches it at the client device. This extraction approach allows the client to reference the appropriate data version without storing complete copies of all versions, reducing storage requirements while maintaining the ability to observe consistent snapshots across multiple queries.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A system includes reception of a first query of a first transaction from a client device at a first database node of a database instance comprising two or more database nodes, request of a first transaction token associated with the first transaction from a second database node of the two or more database nodes, reception of the first transaction token from the second database node at the first database node, execution of the first query at the first database node to generate first results, and transmission of the first results and the first transaction token from the first database node to the client device.