SQL Code Review

SQL Code Review

Perform a thorough SQL code review of ${selection} (or entire project if no selection) focusing on security, performance, maintainability, and database best practices.

Review Categories

🔒 Security

• SQL Injection Prevention — all user inputs must be parameterized; no string concatenation in queries
• Access Control — principle of least privilege, role-based permissions, schema security
• Data Protection — avoid SELECT * on sensitive tables, enforce audit logging and data masking

⚡ Performance

• Query Structure — eliminate SELECT DISTINCT *, prefer explicit JOINs over comma-separated FROM
• Index Strategy — verify indexes for WHERE/JOIN columns, flag over-indexing and unused indexes
• Join Optimization — correct join types, optimal join order, no accidental Cartesian products
• Aggregation — replace correlated subqueries with JOIN/GROUP BY when possible

🛠️ Code Quality

• Formatting — consistent uppercase keywords, aligned columns, proper indentation
• Naming — descriptive table/column names, no reserved words as identifiers, consistent casing
• Schema Design — appropriate normalization, optimal data types, proper constraints and defaults

🗄️ Database Compatibility

• ANSI SQL first — use COALESCE, CASE WHEN, ANSI JOINs, FETCH FIRST for portability
• Database-specific idioms — leverage engine-specific features (JSONB, COLUMNSTORE, sequences) where appropriate

Protheus note: Use ChangeQuery() to automatically translate SQL syntax to the active database dialect. BeginSQL/EndSQL calls ChangeQuery() automatically.

Bundled Reference Files

This skill uses progressive disclosure. The SKILL.md body covers the review workflow, category definitions, checklist, and output format. Detailed code examples, anti-patterns, and database-specific best practices are in the references/ directory — read them on demand based on the scenario:

Also refer to references/sonarqube-rules-reference.md for the complete SonarQube rules reference shared across skills.

Review Workflow

Step 1: Identify Scope and Database

Determine from the user's request:

• Which SQL files or queries to review
• Target database engine (PostgreSQL, SQL Server, Oracle, or multi-database)
• Review focus (security, performance, quality, or full review)

Step 2: Load Relevant References

Based on the review focus and database, read the appropriate reference files:

• Security focus → read references/sql-security-patterns.md
• Performance / quality focus → read references/sql-performance-and-quality-patterns.md
• Database-specific review → read references/database-specific-best-practices.md
• Full review → read all three reference files

Step 3: Analyze Code Against Checklist

Walk through each category in the checklist below. For each finding, classify priority as CRITICAL, HIGH, MEDIUM, or LOW.

Step 4: Generate Report

Use the Issue Template (below) for each finding. Group findings by category and sort by priority.

SQL Review Checklist

Security

• All user inputs are parameterized
• No dynamic SQL construction with string concatenation
• Appropriate access controls and permissions
• Sensitive data is properly protected
• SQL injection attack vectors are eliminated

Performance

• Indexes exist for frequently queried columns
• No unnecessary SELECT * statements
• JOINs are optimized and use appropriate types
• WHERE clauses are selective and use indexes
• Subqueries are optimized or converted to JOINs

Code Quality

• Consistent naming conventions
• Proper formatting and indentation
• Meaningful comments for complex logic
• Appropriate data types are used
• Error handling is implemented

Schema Design

• Tables are properly normalized
• Constraints enforce data integrity
• Indexes support query patterns
• Foreign key relationships are defined
• Default values are appropriate

Review Output Format

Issue Template

## [PRIORITY] [CATEGORY]: [Brief Description]

**Location**: [Table/View/Procedure name and line number if applicable]
**Issue**: [Detailed explanation of the problem]
**Security Risk**: [If applicable - injection risk, data exposure, etc.]
**Performance Impact**: [Query cost, execution time impact]
**Recommendation**: [Specific fix with code example]

**Before**:
```sql
-- Problematic SQL

After:

-- Improved SQL

Expected Improvement: [Performance gain, security benefit]

### Summary Assessment
- **Security Score**: [1-10] - SQL injection protection, access controls
- **Performance Score**: [1-10] - Query efficiency, index usage
- **Maintainability Score**: [1-10] - Code quality, documentation
- **Schema Quality Score**: [1-10] - Design patterns, normalization

### Top 3 Priority Actions
1. **[Critical Security Fix]**: Address SQL injection vulnerabilities
2. **[Performance Optimization]**: Add missing indexes or optimize queries
3. **[Code Quality]**: Improve naming conventions and documentation

Focus on providing actionable, database-agnostic recommendations while highlighting platform-specific optimizations and best practices.

> **Cross-Database Review Tip:** When reviewing Protheus SQL, verify the query is compatible with all three supported databases (PostgreSQL, MSSQL, Oracle). Use `ChangeQuery()` for automatic SQL dialect translation, or `TCGetDB()` for runtime DB detection when DB-specific logic is unavoidable.

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## Protheus SQL Patterns

When reviewing SQL in the TOTVS Protheus ecosystem — whether embedded SQL (preferring `FWExecStatement`, with legacy `TCQuery` / `TCSqlExec` calls), Workarea-based access, or standalone queries — apply the following additional checks.

### Table and Field Naming Conventions

Protheus uses standardized short-name tables and fields managed through the data dictionary:

| Alias | Module | Description |
|-------|--------|-------------|
| SA1 | All | Customers |
| SA2 | All | Suppliers |
| SB1 | SIGAEST | Products |
| SC5 | SIGAFAT | Sales Orders (header) |
| SC6 | SIGAFAT | Sales Orders (items) |
| SD1 | SIGACOM | Purchase document items |
| SD2 | SIGAFAT | Sales document items |
| SE1 | SIGAFIN | Accounts Receivable |
| SE2 | SIGAFIN | Accounts Payable |
| SF1 | SIGACOM | Incoming invoices (header) |
| SF2 | SIGAFAT | Outgoing invoices (header) |
| SX2 | System | Table dictionary |
| SX3 | System | Field dictionary |
| SIX | System | Index dictionary |

Fields follow the pattern `<prefix>_<name>`, e.g., `A1_COD` (customer code), `A1_NOME` (customer name), `D1_DOC` (document number).

### Mandatory Filters for Protheus Tables

Every query against a Protheus table **must** include these filters unless there is an explicit reason to omit them:

```sql
-- BAD: Missing mandatory filters — returns deleted records and all branches
SELECT A1_COD, A1_NOME FROM SA1010

-- GOOD: Proper Protheus query with mandatory filters
SELECT A1_COD, A1_NOME
FROM SA1010
WHERE D_E_L_E_T_ = ' '
  AND A1_FILIAL  = '01'

Workarea vs. Embedded SQL Decision Matrix