3 dépôts
Tools for identifying syntax errors in SQL scripts using a database-native parser.
Distinct from SQL Abstract Syntax Tree Parsing: None of the candidates cover general SQL syntax validation; they focus on configuration, highlighting, or ASTs.
Explore 3 awesome GitHub repositories matching data & databases · SQL Syntax Checking. Refine with filters or upvote what's useful.
Yearning is a MySQL SQL audit platform and database change management system. It provides a governance framework for reviewing, approving, and auditing SQL statements executed against MySQL databases. The platform features an AI-powered SQL optimizer that suggests performance improvements and converts natural language requests into executable SQL code. It manages database changes through an approval-based workflow engine that includes automated rollback generation and rule-based syntax validation. The system covers role-based access control, security compliance with multi-factor authenticati
Provides automated checking of SQL statements against security rules and coding standards before execution.
Soar is a suite of specialized tools designed for analyzing MySQL performance, advising on indexing, and optimizing SQL syntax. It functions as a performance analyzer, index advisor, and query optimizer to identify bottlenecks and suggest structural improvements for faster execution. The project distinguishes itself through a system for rewriting SQL statements into optimized equivalent versions using custom heuristic rules and patterns. It also features a dedicated index advisor that evaluates query patterns and database metadata to recommend the creation of new indexes. Its broader capabil
Identifies syntax errors in SQL scripts and validates data definitions using a database-native parser.
This project is a Language Server Protocol implementation for PostgreSQL that provides autocompletion, syntax diagnostics, and type checking for SQL and PL/pgSQL. It functions as a database schema validator and a static analysis engine designed to detect security vulnerabilities, performance bottlenecks, and dangerous migration patterns in database scripts. The server differentiates itself by using live database connections to provide schema-aware intelligence, allowing it to verify that tables, columns, and data types actually exist. It performs static analysis on procedural functions to det
Identifies syntax errors and provides diagnostics using a native database parser to ensure compatibility.