Staging Layer Cache for Automatic Data Discovery
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Solution Overview
Problem
Data access and caching systems face performance issues due to increasing data usage, leading to slowdowns and increased total cost of ownership, as they require recalibration and resizing of clients and databases, and fail to efficiently manage dependencies between database expertise and performance optimization.
Innovation Solution
A computer-implemented method and system that utilizes a staging layer with a cache to determine the completeness of requested information, retrieving only necessary data from an underlying database layer, merging partial cache data, and updating the cache with push notifications to optimize data access and reduce the load on the database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data usage increases over time, then more data can be accessed and analyzed, but performance slows down and total cost of ownership increases
Solution Approach 1:
The system segments data into cached data and non-cached data, separating frequently accessed data from the main database. The cache stores a subset of information from the underlying database layer, allowing the system to handle increasing data usage without proportionally increasing database load, thus maintaining performance while supporting greater data quantities.
Solution Approach 2:
The system performs preliminary actions by pre-caching data that is likely to be requested based on usage patterns. The automated data discovery component identifies frequently accessed data and caches it in advance, so when data usage increases, the performance impact is minimized because the data is already available in the cache rather than requiring additional database queries.
2Quantity of substance
If data usage increases over time, then more data can be accessed and analyzed, but total cost of ownership increases due to recalibration and resizing requirements
Solution Approach 1:
The system implements self-service through automated data discovery and automated cache management. The system automatically identifies usage patterns, determines which data to cache, and manages cache contents without requiring manual recalibration or resizing operations. This automation reduces the total cost of ownership by eliminating the need for expert database intervention as data usage grows.
Solution Approach 2:
The system changes parameters dynamically by adjusting cache size and content based on observed usage patterns rather than requiring fixed, pre-determined configurations. The automated discovery mechanism monitors data access patterns and adjusts the cached data subset accordingly, allowing the system to adapt to increasing data usage without manual recalibration or expensive resizing operations.
3Speed
If a cache stores only a subset of information, then data access speed improves for cached data, but completeness of cached information decreases
Solution Approach 1:
The cache is dynamic rather than static. The system continuously monitors data usage patterns and automatically adjusts which data remains in the cache and which is evicted. This dynamic approach ensures that the cache maintains the most relevant data for current usage patterns, optimizing both access speed for frequently requested data and completeness by adapting to changing information needs over time.
Solution Approach 2:
The system implements feedback mechanisms where data access patterns are monitored and fed back into the cache management process. The automated data discovery component uses this feedback to determine which data should be cached and which should be removed, ensuring that the cache maintains optimal completeness for current usage patterns while preserving fast access speeds for frequently requested information.
Data Source
AI summary
The disclosure generally describes methods, software, and systems, including a method for caching information. A request for information is received at a staging layer. A determination is made whether the requested information already exists entirely in a cache. In response to determining that the requested information does not exist entirely in the cache, at least some of the requested information from the underlying database layer is retrieved. A completeness level to which the requested information exists in the cache is determined. In response to determining that the requested information exists partially in the cache, cache-nonresident information is retrieved from the underlying database layer and merged with information in the cache. In response to determining that none of the requested information exists in the cache, the request is forwarded to the underlying database layer. The requested information is provided by the staging layer to a presentation layer.