Search Query Processing with Preliminary Caching
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Solution Overview
Problem
Current Internet search systems face challenges in providing fast response times and comprehensive, accurate results due to limited computer resources and infrastructure, and data sources can become outdated quickly due to user-driven changes from various geographic locations.
Innovation Solution
A method and system for processing search queries that involves storing queries, periodically retrieving and optimizing data from backend sources using an iterative optimization algorithm, filtering data based on satisfaction thresholds, and generating notifications based on user-defined criteria, ensuring users receive relevant updates in real-time or periodically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is frequently retrieved and updated from multiple backend data sources to ensure accuracy, then result accuracy improves, but resource consumption and processing time increase
Solution Approach 1:
The system performs preliminary actions by storing search queries and their associated data in persistent storage devices before actual search execution. When a search query is received, the system checks whether the query has been previously stored and retrieves the pre-stored data, avoiding the need to frequently access backend data sources. This preliminary caching approach maintains result accuracy while significantly reducing resource consumption during search operations.
2Loss of information
If comprehensive data from multiple backend sources is retrieved to provide complete search results, then result completeness improves, but response time decreases
Solution Approach 1:
The system performs preliminary data retrieval and storage by caching search queries and their associated comprehensive data from multiple backend data sources in persistent storage. When subsequent identical or similar search queries are received, the system retrieves the pre-stored comprehensive data immediately, providing complete search results without the time penalty of repeated backend access. This ensures both result completeness and fast response times.
3Speed
If search queries are processed immediately upon receipt to provide fast response, then response speed improves, but data may be outdated before processing completes
Solution Approach 1:
The system performs preliminary actions by pre-storing search queries and their associated data in persistent storage devices before actual search execution. This allows the system to provide fast response speeds by retrieving pre-stored data immediately upon query receipt, while simultaneously maintaining data freshness through periodic updates of the stored data from backend sources. The preliminary caching approach decouples response speed from data freshness concerns.
4Loss of information
If multiple backend data sources are queried simultaneously to gather comprehensive data, then data coverage improves, but system complexity increases
Solution Approach 1:
The system performs preliminary data gathering by storing search queries and their associated data from multiple backend data sources in persistent storage before actual search execution. This preliminary caching approach maintains comprehensive data coverage across multiple sources while simplifying the system architecture during search operations, as the system only needs to retrieve pre-stored data rather than manage complex simultaneous queries to multiple backend sources in real-time.
Data Source
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AI summary
Methods, systems, and computer program products for processing a search query store the search query in one or more persistent storage devices in response to the search query being received. Periodically and automatically thereafter, the search query is retrieved from the one or more persistent storage devices, and source data that relates to the search query is retrieved, using an iterative optimization algorithm, from one or more backend data sources. Responses for the search query are generated based on the source data, and a determination is made of whether each of the responses is notification eligible. A user is notified of each response determined notification eligible.