Global Clock System for Consistent Distributed Data Queries
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Solution Overview
Problem
In distributed data systems, achieving a consistent view of data across multiple locations where independent updates are performed on different partitions is challenging, as existing techniques often impede performance or fail to provide reliable consistency.
Innovation Solution
Implementing a global clock system that provides consistent points across a distributed data set, allowing nodes to agree on consistency points and ensuring that updates and queries are processed based on global clock values, thereby maintaining consistent indexes, views, or projections of the data set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is distributed across multiple locations for scaling storage or processing capacity, then the storage capacity and processing capacity are improved, but obtaining a consistent view of the data becomes challenging
Solution Approach 1:
The patent segments the distributed data system into multiple independent nodes, each maintaining local partitions of the data set. Each node operates autonomously with its own local clock, allowing parallel processing and storage scaling while the segmentation enables independent updates without blocking other nodes. This resolves the contradiction by allowing both increased storage capacity through distribution and maintained consistency through the global clock coordination mechanism.
2Productivity
If independent updates are performed on different partitions by each location, then the processing capacity and update speed are improved, but data consistency across the distributed system deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where each node reports its local updates and clock values to a global clock service. The global clock service processes these updates, determines the latest global clock value, and feeds this information back to all nodes. This feedback loop ensures that all nodes have consistent knowledge of the latest data state across the distributed system, resolving the consistency issue while allowing independent parallel updates to continue at high speed.
Solution Approach 2:
The global clock service acts as an intermediary between distributed nodes performing independent updates. Rather than requiring direct coordination between all pairs of nodes, the intermediary global clock service receives update information from all nodes, processes it centrally, and distributes consistency information back to all nodes. This intermediary mechanism maintains data consistency while allowing high-speed independent updates at each node.
3Reliability
If techniques are used to provide consistent views of distributed data, then data consistency is improved, but the performance of updates is impeded
Solution Approach 1:
The patent applies preliminary action by having each node continuously maintain its local clock and update state, and by having the global clock service continuously process update information and determine latest global clock values. This preliminary preparation means that when a node needs to read data, the consistency information is already available, eliminating the need for blocking operations during read operations and maintaining high update performance while ensuring consistency.
Data Source
AI summary
Consistent queries to replicated data may be performed according to global clock values. Time values for updates performed at a data set may be identified according to a global clock. The updates may be replicated to a replicated portion of a data set. Queries directed to the replicated portion of the data set may be performed in response to determining that the time values for updates indicate that the replicated portion of the data set is consistent with a time value identified for the query according to the global clock.