SQL Instruction Validation Module for Database Resource Protection

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Solution Overview

Problem

Relational databases face challenges in efficiently managing and validating SQL instructions to prevent resource overutilization, leading to performance issues and potential unauthorized access.

Innovation Solution

A database system with a validation module that includes parser-based and plan validators to analyze SQL instructions, checking for resource-intensive operations and inconsistencies, and generating validation indications to prevent performance issues and unauthorized access.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If access limitations are implemented to prevent resource overutilization, then database system resource protection is improved, but system complexity and validation overhead increase

Engineering Contradiction:
Improvedatabase system resource protectionVSAvoidvalidation system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The validation module performs preliminary analysis of SQL instructions before they are executed by the database engine. By checking for resource-intensive operations, potential errors, and security vulnerabilities in advance, the system prevents resource overutilization and unauthorized access without requiring complex runtime controls. This advance validation approach resolves the contradiction by establishing resource protection mechanisms before execution, avoiding the need for complex real-time monitoring and control systems.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If comprehensive SQL instruction validation is performed, then database security and performance are improved, but processing time and system overhead increase

Engineering Contradiction:
Improvedatabase securityVSAvoidinstruction validation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The validation module implements partial validation by focusing on critical security and performance aspects rather than performing exhaustive analysis on all SQL instructions. It specifically targets resource-intensive operations, potential security vulnerabilities, and syntax errors while allowing simpler, low-risk instructions to pass through with minimal validation. This selective approach maintains high security standards while reducing the time overhead associated with comprehensive validation of every possible instruction variant.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If resource-intensive operations are allowed without validation, then system productivity is maintained, but resource overutilization and performance degradation occur

Engineering Contradiction:
Improvedatabase operation speedVSAvoiddatabase system resources
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The validation module provides feedback mechanisms that analyze SQL instructions and provide guidance on resource usage. When resource-intensive operations are detected, the system can alert users, suggest optimizations, or prevent execution of problematic instructions. This feedback loop enables the system to maintain high productivity for legitimate operations while preventing resource overutilization and performance degradation by identifying and controlling problematic queries before they consume excessive system resources.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10650028B2Relational database instruction validation
Publication Date: 2020.05.12 SALESFORCE INC
  • US10650028B2 patent drawing
  • US10650028B2 patent drawing
  • US10650028B2 patent drawing

AI summary

In an example, a database system may be configured to validate relational database instructions using a plurality of validators. In some examples, validation may be pre-production for relational database instructions based on simulated user inputs and/or file, such as plan files (e.g., PL/SQL (procedural language/structured query language) files). In some examples, validation may be in production for relational database instructions based on system views of a database engine.