NS-Tree Index Synchronization for Distributed Data Consistency
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Solution Overview
Problem
Current Big Data solutions face challenges in efficiently synchronizing data across replicated nodes in distributed systems, often transferring excessive data and taxing node resources due to inadequate identification of necessary data for synchronization.
Innovation Solution
The implementation of NitroSync Trees (NS-Trees) for real-time consistency validation, which utilize synchronization time, primary key, and aggregate hash values to quickly identify and correct inconsistencies between nodes without full index scans, allowing for precise data transfer and minimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data synchronization methods are used to ensure consistency across replicated nodes, then reliability is improved, but network bandwidth is wasted due to transferring excessive data
Solution Approach 1:
The patent extracts only the necessary data for synchronization by using change tracking mechanisms and selective data transfer. Instead of transferring all data, the system identifies and transfers only the specific records that have changed, removing unnecessary data movement while maintaining consistency.
Solution Approach 2:
The patent segments data transfer into discrete change events rather than bulk transfers. By dividing the synchronization process into individual record-level operations based on change detection, the system transfers minimal data while ensuring consistency across nodes.
2Reliability
If traditional data synchronization methods are used to ensure consistency across replicated nodes, then reliability is improved, but node resources are taxed due to excessive data processing
Solution Approach 1:
The patent extracts only the essential synchronization information (change metadata and affected records) rather than processing and transferring complete data sets. This extraction approach minimizes the computational burden on nodes while maintaining data consistency.
Solution Approach 2:
The patent applies partial action by performing synchronization only on affected data subsets rather than complete data sets. The system identifies specific records that require synchronization and processes only those, avoiding excessive processing of unchanged data.
3Reliability
If complete data transfer is performed for synchronization, then data consistency is ensured, but synchronization time increases
Solution Approach 1:
The patent performs preliminary actions by maintaining change tracking metadata and identifying affected records before actual data transfer occurs. This preliminary identification of necessary data reduces the subsequent synchronization time while ensuring consistency.
Solution Approach 2:
The patent applies partial action by synchronizing only the specific data records that have changed rather than performing complete data set transfers. This selective approach significantly reduces synchronization time while maintaining data consistency across nodes.
Data Source
AI summary
A method includes receiving a first index of records in a first table and a second index of records in a second table. Each index entry of the indexes includes an aggregate value associated with the data in its respective record. The method further includes determining that the first table is inconsistent with the second table by comparing the aggregate values of a pair of indicator index entries of the indexes. The method further includes identifying a first pair of corresponding index entries from the indexes for which the aggregate values of the corresponding index entries are inconsistent and synchronizing records corresponding to the first pair of corresponding index entries. The method further includes updating the aggregate values of the index entries of the indexes and comparing the updated aggregate values of the pair of indicator index entries to determine whether the first table and the second table are consistent.