feat: Support dialects including Oracle and PostgreSQL

[nightscape]

Hi @okennedy, here comes the big one 😄

This PR introduces comprehensive multi-dialect support and a powerful CLI application for parsing SQL files.

Key Features

Multi-Dialect Support

• Oracle SQL, PostgreSQL, and ANSI SQL dialects
• Extensible parser architecture allowing easy addition of new dialects
• Dialect-specific parsing rules and syntax handling

CLI Application

• Parse SQL files with configurable output formats (text, JSON, JQ queries)
• Glob pattern support for batch processing
• Error recovery for unparseable statements with accurate line number tracking
• Flexible output destinations (console or file)

Architecture Improvements

• Refactored package structure under sparsity.common.* for better organization
• Moved parser logic from Elements to SQLBase for better extensibility
• Added Circe-based JSON encoding for all AST types

Build System

• Updated to SBT 1.11.7 with assembly plugin for standalone JARs
• Cross-compilation for Scala 2.12, 2.13, and 3.3
• Added scalafmt for consistent code formatting

Breaking Changes

The package structure has been reorganized:

• Core types moved to sparsity.common.*
• Parser classes in sparsity.common.parser.*
• Dialect-specific implementations in separate packages

Testing

Comprehensive test suite including Oracle-specific tests with real-world SQL examples.

[okennedy]

Sorry for the delay. End of semester is sucking up a lot of my time. I will get to this soon™.

[okennedy]

Hi @nightscape . My goal with sparsity was to create something fairly lightweight and limited in scope. This PR adds a ton of functionality (this is good), but also a substantial number of dependencies (this is less good).

I strongly encourage you to fork Sparsity as a base for your efforts! However, I am reluctant to merge additional dependencies (particularly ones that involve system binaries) here.

[nightscape]

Hi @okennedy , I already assumed so.
I created a fork called sequala and mentioned sparsity as the base for my fork. Its feature set and code size has grown substantially, my plan is to make it a Swiss army knife for all things SQL.