Query Result Deduplicator Using Unique Duplicate Set Identifiers
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Solution Overview
Problem
Enterprise content management systems face inefficiencies due to the high probability of duplicate data objects across heterogeneous repositories, leading to wasted time and resources in search queries, as existing hash functions fail to accurately identify and manage duplicates effectively.
Innovation Solution
A system that assigns unique duplicate set identifiers to data objects, allowing the query result deduplicator tool to identify and output only the unique master copy of duplicate sets, eliminating the need for recalculating hash values upon data additions or deletions, thereby saving time and resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hash functions are used to identify duplicate data objects across heterogeneous repositories, then duplicate detection capability is improved, but system complexity and processing overhead increase due to recalculating hash values upon data changes
Solution Approach 1:
The system pre-calculates and stores hash values for all data objects in a centralized cache before queries are executed. This preliminary action eliminates the need to recalculate hash values during query processing or upon data changes, reducing system complexity while maintaining duplicate detection accuracy. The hash cache is maintained and updated efficiently without requiring full recalculations.
Solution Approach 2:
Instead of recalculating hash values from original data objects during queries, the system creates and stores copies of hash values in a centralized cache. This copying approach allows rapid duplicate detection during queries without accessing or processing the original data objects, reducing processing overhead and system complexity.
2Reliability
If duplicate data objects are retrieved and processed, then complete search results are provided, but time and resources are wasted on duplicate objects
Solution Approach 1:
The system extracts duplicate data objects from query results by comparing stored hash values against each other during query processing. By identifying and removing duplicates through hash comparison, the system provides complete search results while eliminating time-wasting duplicate retrievals and processing.
Solution Approach 2:
The hash cache serves as an intermediary mechanism that enables duplicate detection during query processing. By introducing this intermediate hash comparison step, the system can identify and filter duplicates without accessing the actual data objects, saving time while ensuring complete and accurate search results.
3Measurement precision
If hash values are recalculated upon data additions or deletions, then duplicate set accuracy is maintained, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary hash calculations and stores results in a cache before they are needed for query processing. This allows the system to maintain duplicate set accuracy without recalculating hash values during queries or data changes, preserving productivity while ensuring measurement precision.
Solution Approach 2:
The hash cache automatically maintains itself through efficient update mechanisms when data is added or deleted, without requiring full recalculations. The system serves its own duplicate detection needs through the pre-stored hash values, maintaining accuracy while preserving query processing efficiency.
Data Source
AI summary
De-duplicating results of queries of data repositories is described. A system associates each data object of the first set of duplicate data objects stored by multiple data repositories with a first unique duplicate set identifier, and each data object of the second set of duplicate data objects stored by the multiple data repositories with a second unique duplicate set identifier. The system identifies a first data object of the first set of duplicate data objects and a second data object of the first set of duplicate data objects in response to a query. The system determines that the first data object is associated with the first unique duplicate set identifier, and that the second data object is also associated with the first unique duplicate set identifier. The system outputs a query result that includes only the first data object.