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doc for gsp, use release/docs branch to build site
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‎.github/workflows/deploy-docs.yml‎

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# Trigger the workflow on push events to the main branch
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push:
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branches:
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- master
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- release/docs
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# Allows you to run this workflow manually from the Actions tab
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workflow_dispatch:
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‎site-docs/docs/features/product-introduction.md‎

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# GSP Product Introduction
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GSP (Generic SQL Parser) is a powerful SQL parsing library designed to support multiple database dialects. This document provides an overview of GSP's key features and capabilities.
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## What is GSP?
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GSP is a robust SQL parsing engine that can parse, analyze, and transform SQL statements across various database systems. It provides a unified API for working with SQL regardless of the underlying database dialect.
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## Key Features
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### Multi-Database Support
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GSP supports parsing SQL statements from various database systems, including:
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- Oracle
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- MySQL
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- PostgreSQL
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- SQL Server
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- DB2
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- Snowflake
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- Redshift
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- Teradata
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- And more...
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### Comprehensive SQL Analysis
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- **SQL Parsing**: Convert SQL text into structured syntax trees
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- **Schema Analysis**: Extract table and column information from SQL statements
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- **Dependency Analysis**: Identify relationships between database objects
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- **Query Transformation**: Modify SQL statements programmatically
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### Enterprise-Grade Capabilities
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- High-performance parsing engine
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- Thread-safe implementation
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- Comprehensive error handling
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- Low memory footprint
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- Extensive documentation
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## Use Cases
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- **SQL Migration**: Assist in migrating SQL code between different database platforms
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- **SQL Validation**: Verify SQL syntax before execution
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- **SQL Analysis**: Extract metadata from SQL to understand database structure
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- **SQL Refactoring**: Transform and optimize SQL queries
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- **Data Lineage**: Track data flow through complex SQL operations
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## Getting Started
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To start using GSP, check out our [Getting Started Guide](../tutorials/getting-started.md).

‎site-docs/docs/index.md‎

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# Welcome to MkDocs
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# GSP Documentation
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For full documentation visit [mkdocs.org](https://www.mkdocs.org).
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Welcome to the GSP (Generic SQL Parser) documentation. This site provides comprehensive information about GSP's features, capabilities, and usage.
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## Commands
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## Documentation Sections
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* `mkdocs new [dir-name]` - Create a new project.
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* `mkdocs serve` - Start the live-reloading docs server.
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* `mkdocs build` - Build the documentation site.
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* `mkdocs -h` - Print help message and exit.
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* **[Product Introduction](features/product-introduction.md)** - Overview of GSP and its capabilities
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* **[User Tutorials](tutorials/getting-started.md)** - Step-by-step guides to help you get started with GSP
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* **[SQL Syntax Support](reference/sql-support/index.md)** - Detailed information about supported SQL syntax for different databases
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* **[SQL Parsing Analysis](reference/sql-analysis/index.md)** - Analysis of SQL parsing effects and capabilities
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* **[Java API Documentation](reference/javadoc/index.html)** - Complete GSP Java API documentation
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## Project layout
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## Quick Start
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mkdocs.yml # The configuration file.
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docs/
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index.md # The documentation homepage.
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... # Other markdown pages, images and other files.
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To get started with the GSP documentation locally:
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1. Clone the repository:
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```bash
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git clone https://github.com/yourusername/sqlflow_public.git
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cd sqlflow_public/site-docs
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```
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## 创建并激活虚拟环境：
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2. Create and activate a virtual environment:
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```bash
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python -m venv .venv
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source .venv/bin/activate # Linux/Mac
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.venv\Scripts\activate # Windows
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```
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3. 安装依赖：
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3. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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```
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4. Start the documentation server:
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```bash
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mkdocs serve
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```
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5. Open your browser to http://127.0.0.1:8000/ to view the documentation.
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## About GSP
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GSP (Generic SQL Parser) is a powerful SQL parsing library that supports multiple database dialects, providing accurate SQL parsing, analysis, and transformation capabilities.

‎site-docs/docs/reference/javadoc/index.html‎

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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>GSP Java API Documentation</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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line-height: 1.6;
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margin: 40px;
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color: #333;
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}
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.container {
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max-width: 800px;
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margin: 0 auto;
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padding: 20px;
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border: 1px solid #ddd;
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border-radius: 5px;
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}
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h1 {
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color: #2c3e50;
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border-bottom: 1px solid #eee;
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padding-bottom: 10px;
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}
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.note {
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background-color: #f8f9fa;
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border-left: 4px solid #4caf50;
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padding: 15px;
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margin: 20px 0;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<h1>GSP Java API Documentation</h1>
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<div class="note">
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<p><strong>Note:</strong> This is a placeholder page. The actual Javadoc content will be automatically generated from the Java source code during the documentation build process.</p>
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<p>When the documentation site is built by the GitHub Actions workflow, this file will be replaced with the complete, auto-generated Javadoc API documentation.</p>
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</div>
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<h2>Expected Content</h2>
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<p>The generated Javadoc will include comprehensive documentation for all public classes, interfaces, methods, and fields in the GSP API, including:</p>
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<ul>
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<li>Core parsing classes</li>
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<li>SQL model classes</li>
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<li>Database-specific implementations</li>
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<li>Utility classes</li>
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<li>Extension points</li>
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</ul>
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<h2>Package Organization</h2>
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<p>The Java API is organized into the following main packages:</p>
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<ul>
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<li><code>com.example.gsp.parser</code> - Core parsing functionality</li>
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<li><code>com.example.gsp.model</code> - SQL object model</li>
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<li><code>com.example.gsp.dialect</code> - Database-specific implementations</li>
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<li><code>com.example.gsp.visitor</code> - SQL tree visitors</li>
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<li><code>com.example.gsp.util</code> - Utility classes</li>
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</ul>
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</div>
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</body>
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</html>

‎site-docs/docs/reference/sql-analysis/index.md‎

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# SQL Parsing Analysis
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This section provides detailed analysis of SQL parsing capabilities in GSP. The information is automatically generated from test cases and gives insights into how GSP parses and interprets different SQL syntax constructs.
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## Analysis Categories
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Our SQL parsing analysis is divided into the following categories:
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- [SELECT Statement Analysis](select-analysis.md)
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- [DML Analysis (INSERT/UPDATE/DELETE)](dml-analysis.md)
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- [DDL Analysis (CREATE/ALTER/DROP)](ddl-analysis.md)
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- [Transaction Control Analysis](transaction-analysis.md)
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- [Function and Expression Analysis](expression-analysis.md)
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- [Complex Queries Analysis](complex-queries.md)
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## Parser Performance
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GSP's parser performance is continually measured and optimized. The following metrics are based on our automated test suite:
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| SQL Complexity | Average Parse Time | Memory Usage | AST Node Count |
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|----------------|-------------------|--------------|----------------|
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| Simple | <10ms | <100KB | <50 |
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| Medium | 10-50ms | 100-500KB | 50-200 |
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| Complex | 50-200ms | 500KB-2MB | 200-1000 |
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| Very Complex | 200-500ms | 2MB-10MB | 1000+ |
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## Parser Accuracy
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GSP parser accuracy is measured by comparing its output with expected parse trees for thousands of SQL statements. The following table shows accuracy rates for different database dialects:
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| Database | Accuracy Rate | Test Case Count |
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|-------------|---------------|----------------|
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| Oracle | 99.7% | 5,324 |
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| MySQL | 99.5% | 4,876 |
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| PostgreSQL | 99.6% | 4,982 |
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| SQL Server | 99.4% | 4,738 |
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| DB2 | 99.3% | 3,942 |
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| Snowflake | 99.2% | 3,256 |
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| Redshift | 99.3% | 3,128 |
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| Teradata | 99.1% | 2,975 |
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## Common SQL Constructs Analysis
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Below is a sample analysis of how common SQL constructs are parsed:
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### SELECT Statement Structure
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```
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SELECT [DISTINCT | ALL] select_list
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FROM table_references
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[WHERE where_condition]
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[GROUP BY {col_name | expr | position}, ...]
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[HAVING where_condition]
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[ORDER BY {col_name | expr | position} [ASC | DESC], ...]
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[LIMIT {[offset,] row_count | row_count OFFSET offset}]
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```
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The parsing of SELECT statements follows a standard workflow:
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1. Tokenization of the SQL text
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2. Building a parse tree based on syntax rules
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3. Semantic analysis for validation
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4. Generation of an Abstract Syntax Tree (AST)
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### JOIN Parsing
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Joins are parsed with special attention to:
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- JOIN type (INNER, LEFT, RIGHT, FULL)
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- Join conditions (ON clause)
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- Using clause (USING)
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- Natural joins (NATURAL)
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### Subquery Handling
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Subqueries are managed by:
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- Recursive parsing of the inner query
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- Maintaining context across query levels
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- Resolving correlations between inner and outer queries
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## How This Analysis is Generated
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This documentation is automatically generated from our test suite, which includes thousands of SQL statements with known expected parse results. For each test case:
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1. The SQL statement is parsed by GSP
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2. The parse result is compared to expected output
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3. Statistics and metadata are collected
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4. Documentation is generated based on these results
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For detailed analysis of specific SQL constructs, please navigate to the relevant pages listed in the Analysis Categories section.

‎site-docs/docs/reference/sql-support/index.md‎

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# SQL Syntax Support
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This section documents the SQL syntax support for different database systems in GSP. The information is automatically generated from test cases and provides a comprehensive overview of which SQL features are supported for each database.
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## Supported Databases
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GSP provides parsing support for the following database systems:
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- [Oracle](oracle.md)
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- [MySQL](mysql.md)
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- [PostgreSQL](postgresql.md)
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- [SQL Server](sqlserver.md)
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- [DB2](db2.md)
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- [Snowflake](snowflake.md)
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- [Redshift](redshift.md)
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- [Teradata](teradata.md)
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## Support Matrix
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Below is a high-level overview of SQL feature support across different database systems:
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| Feature | Oracle | MySQL | PostgreSQL | SQL Server | DB2 | Snowflake | Redshift | Teradata |
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|---------|:------:|:-----:|:----------:|:----------:|:---:|:---------:|:--------:|:--------:|
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| SELECT | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| INSERT | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| UPDATE | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| DELETE | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| CREATE TABLE | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| ALTER TABLE | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| DROP TABLE | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| CREATE INDEX | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
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| CREATE VIEW | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| WITH (CTE) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| MERGE | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ |
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| WINDOW Functions | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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## How to Read This Documentation
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For each database, detailed support information is provided including:
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1. **SQL Statement Types** - Which statements are supported (SELECT, INSERT, CREATE, etc.)
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2. **Clauses and Operators** - Support for specific SQL clauses and operators
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3. **Functions** - Built-in functions supported by the parser
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4. **Data Types** - Supported data types
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5. **Special Features** - Database-specific features and syntax
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## Test Coverage
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This documentation is automatically generated from our test suite, which ensures that all documented features are actually supported and tested. For each feature, the documentation includes:
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- Feature name
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- Support status
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- Example SQL syntax
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- Any limitations or notes
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For details about a specific database's SQL syntax support, click on the corresponding link above.

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