In-Memory Lineage Metadata Access for Faster Data Provenance Queries
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Solution Overview
Problem
Existing data processing systems face inefficiencies in processing and retrieving lineage metadata, leading to prolonged processing times and resource utilization due to the need to access and process metadata from large databases, which introduces latency and additional processing overhead.
Innovation Solution
Implementing a specialized lineage server that stores lineage metadata in a specialized data structure optimized for speed and efficiency, utilizing random access memory to minimize storage space and enhance query response times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If lineage metadata is stored in conventional databases, then data persistence and comprehensive storage are achieved, but query processing time and resource consumption increase significantly
Solution Approach 1:
The patent segments lineage metadata into two categories: frequently accessed metadata stored in memory for rapid retrieval, and less frequently accessed metadata stored in persistent storage. This segmentation allows the system to optimize query performance for common operations while maintaining data persistence for comprehensive storage requirements.
Solution Approach 2:
The patent introduces a caching layer as an intermediary between the persistent database and the query interface. This cache stores frequently accessed lineage metadata in memory, acting as a mediator that serves rapid read requests without requiring database access, thereby dramatically reducing query processing time for common operations.
2Loss of time
If lineage metadata is stored in memory, then query response time is dramatically improved, but storage capacity and data persistence are reduced
Solution Approach 1:
The patent applies local quality by storing different types of metadata in different storage media based on their access patterns. Frequently accessed lineage information is stored in memory with high-speed access characteristics, while less frequently accessed metadata remains in persistent storage with larger capacity, optimizing both speed and storage capacity for their respective use cases.
Solution Approach 2:
The patent implements preliminary action by pre-loading frequently accessed lineage metadata into memory before it is actually needed for querying. This anticipatory loading ensures that when queries are executed, the required data is already available in fast memory, eliminating processing overhead without requiring excessive persistent storage capacity.
3Reliability
If comprehensive lineage metadata is maintained in databases, then complete data provenance tracking is achieved, but system complexity and processing overhead increase
Solution Approach 1:
The patent extracts frequently accessed lineage metadata from the complex database system and places it in a simplified in-memory cache structure. This extraction reduces the complexity of the overall system architecture by separating the fast access path from the comprehensive storage path, while maintaining complete data provenance tracking through the persistent database layer.
Data Source
AI summary
Among other things, we describe a method of receiving a portion of metadata from a data source, the portion of metadata describing nodes and edges; generating instances of a data structure representing the portion of metadata, at least one instance of the data structure including an identification value that identifies a corresponding node, one or more property values representing respective properties of the corresponding node, and one or more pointers to respective identification values, each pointer representing an edge associated with a node identified by the corresponding respective identification value; storing the instances of the data structure in random access memory; receiving a query that includes an identification of at least one particular element of data; and using at least one instance of the data structure to cause a display of a computer system to display a representation of lineage of the particular element of data.