Centralized Data Access Tool for SQL Resource Governance
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Solution Overview
Problem
Insurance database servers face challenges in managing resource usage during SQL script execution, leading to potential crashes or slow performance, which can result in significant monetary losses due to downtime and impact the retrieval of vital data for insurer employees.
Innovation Solution
A Centralized Data Access Tool (CDAT) is implemented to dynamically control resource limits, optimize SQL scripts, and scrub confidential data, ensuring efficient execution and secure access while preventing resource exhaustion and data breaches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the server executes SQL scripts to retrieve data, then data access for insurer employees is enabled, but server performance deteriorates and crashes may occur due to excessive processing resources
Solution Approach 1:
The system performs preliminary actions by validating and optimizing SQL scripts before execution. The centralized data access tool checks script syntax, potential performance impacts, and resource requirements in advance, preventing problematic scripts from consuming excessive resources and causing server crashes
Solution Approach 2:
A centralized data access tool is introduced as an intermediary between users and the database. This tool acts as a mediator that validates, optimizes, and monitors SQL script execution, controlling resource consumption while enabling data access functionality
2Adaptability or versatility
If ad-hoc SQL scripts are executed without resource limits, then data retrieval flexibility is maintained, but server resources are exhausted leading to downtime
Solution Approach 1:
The system implements dynamic resource management by adjusting execution parameters and resource allocation based on real-time conditions. The centralized data access tool dynamically monitors resource consumption and adapts script execution parameters to prevent resource exhaustion while maintaining query flexibility
Solution Approach 2:
The system incorporates feedback mechanisms where the centralized data access tool continuously monitors SQL script execution resource consumption and provides feedback to control and optimize execution, preventing resource exhaustion and associated downtime
3Speed
If SQL scripts are optimized for performance, then execution speed improves, but resource consumption increases for critical operations
Solution Approach 1:
The system changes execution parameters dynamically based on the specific SQL script and data requirements. The centralized data access tool adjusts parameters such as execution timing, resource allocation, and optimization levels to balance performance gains with resource consumption for each individual query
Data Source
AI summary
Methods, systems, apparatus, and non-transitory media are described for governing resources used to execute and retrieve database entries in accordance with an ad-hoc structured query language (SQL) script. Various aspects are described to determine whether a written SQL script is optimized, to execute the SQL script if it is optimized, and to otherwise reject unoptimized SQL scripts. The resources used during the execution of the SQL script may further be monitored to control resource use, and the execution of SQL scripts may be ceased if a processor-based resource limit threshold is exceeded. The SQL script execution system may be implemented in a wide variety of systems, such as database servers. The scripts may be executed in conjunction with scrubbing and encryption scripts to protect sensitive data, and thus the SQL scripts may be received via one or more public APIs.