Cached Database Synchronization for Dynamic Linked Panels
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for data integration, analysis, and visualization struggle with efficiently managing database queries and interactions, leading to performance issues and requiring advanced technical skills for document development.
Innovation Solution
The system provides dynamic linked panels that query databases and display data according to display settings, with features like dependency webs, timing tables, and timeout graphics to optimize performance and reduce technical skill requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dynamic linked panels with database queries are implemented, then data visualization capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a synchronization system as an intermediary layer between the database and the dynamic linked panels. This synchronization system manages query execution, result caching, and panel updates automatically, shielding users from the underlying complexity while enabling sophisticated data visualization capabilities through the linked panels interface.
2Measurement precision
If multiple database queries are executed for panel interactions, then data accuracy is improved, but query execution time increases
Solution Approach 1:
The patent implements a caching mechanism that performs preliminary actions by storing query results temporarily. When panels need data, the system checks the cache first before executing queries against the database. This approach maintains data accuracy by retrieving real query results when necessary while significantly reducing query execution time through cached data for repeated or similar queries.
Solution Approach 2:
The synchronization system implements a strategy of discarding old or stale cached data and recovering fresh data from the database when needed. The system manages cache validity, discarding cached results that are no longer accurate and recovering updated data from the database to maintain both accuracy and performance efficiency.
3Reliability
If real-time panel updates are implemented, then data freshness is improved, but system performance decreases
Solution Approach 1:
The patent implements periodic updates rather than continuous real-time updates. The synchronization system updates panel data at scheduled intervals or based on triggered events, balancing data freshness with system performance. This periodic action ensures panels receive updated information regularly while avoiding the constant overhead of true real-time updates.
Solution Approach 2:
The system incorporates feedback mechanisms where panels request data updates based on user interaction or specific conditions rather than continuously. The synchronization system receives feedback from panels about when updates are needed and adjusts its update strategy accordingly, maintaining data freshness only when necessary to preserve system performance.
Data Source
AI summary
A system is configured to provide a dashboard creation system. Panels associated with queries for retrieving information from a database are shown in a user interface. Various other user interfaces show query code, panel display settings, function code, dependencies, etc. Queries in a first query format access a data source. Queries in a second query format access a cache database that is synchronized with the data source.