PawSQL Audit

SQL Audit is guided by SQL development standards, utilizing static code analysis, quality rule checks, and optimization suggestions to help developers identify and fix potential quality defects, performance bottlenecks, and security vulnerabilities in SQL statements. This enhances the correctness, efficiency, readability, maintainability, and security of SQL code. In terms of design philosophy and core technology, the PawSQL review platform has achieved breakthrough innovations. With high coverage and high accuracy, PawSQL can provide enterprises with comprehensive SQL quality assurance.

Three Leading Core Capabilities

• Concise Yet Comprehensive Review Rules

  Through abstract, parameterized, and hierarchical review rule design, PawSQL can achieve broader coverage with fewer rules, while reducing ineffective alerts and improving review efficiency.

• Professional SQL Optimization Capabilities

  Based on the professional PawSQL optimization engine (used by over 10,000 database professionals worldwide), it provides rich SQL optimization suggestions and intelligent index recommendations.

• Excellent Review Accuracy

  Using a self-developed SQL parser, abstract based on syntax trees, combined with intelligent processing of context information, it can accurately and efficiently match SQL structures, significantly improving the correctness of the review.

📄️ 1. Create SQL Audit Task

SQL auditing, guided by SQL development standards, helps developers discover and fix potential quality defects, performance bottlenecks, and security risks in SQL statements through static code analysis, quality rule checks, and optimization suggestions. This improves the correctness, efficiency, readability, maintainability, and security of SQL code.

📄️ 2. Customize Audit Policy

An SQL audit rule Policy refers to a set of predefined rules used to check the compliance, performance, and security of SQL statements during the SQL audit process. These Policys include a series of check items, each defining specific audit standards or best practices. SQL audit tools typically use these Policys to automatically scan SQL code to ensure it follows established rules and guidelines.

📄️ 3. Creating a Workspace (Optional)

The workspace in the PawSQL audit platform is the context information for PawSQL when performing SQL audit tasks. It includes information on database objects such as tables, views, indexes, as well as statistical information on them.

📄️ 4. Audit Results

Audit Task List