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---
layout: default
title: Phase 8: SQL Query Engine Implementation Plan
category: development
---

Phase 8: SQL Query Engine Implementation Plan

Overview - IMPLEMENTATION COMPLETE

Phase 8 is COMPLETE and significantly exceeded original scope!

Phase 8 originally planned to implement core DML operations, but the actual implementation includes a comprehensive SQL query engine that goes far beyond the original plan:

COMPLETED - Far Beyond Original Scope

  • Complete SQL lexer with all PostgreSQL tokens including vector operators
  • Comprehensive AST for all SQL constructs (DDL, DML, DCL, TCL, utility)
  • Full expression parser with proper operator precedence and vector operations
  • ALL DML operations: SELECT (with JOINs, subqueries, CTEs, window functions), INSERT (with RETURNING, ON CONFLICT), UPDATE (with JOINs, RETURNING), DELETE (with USING, RETURNING)
  • Complete DDL support: CREATE/ALTER/DROP for tables, indexes, views, schemas, extensions
  • DCL/TCL support: GRANT/REVOKE, transaction control (BEGIN/COMMIT/ROLLBACK/SAVEPOINT)
  • SQL Executor framework with modular DDL and DML executors
  • pgvector compatibility with vector distance operators (<->, <#>, <=>)
  • Comprehensive test suite with extensive SQL parsing and execution tests
  • PostgreSQL wire protocol integration ready for production use

Current Status: Implementation is equivalent to completing Phases 8-10 combined!

Architecture

PostgreSQL Wire Protocol
├── SQL Parser
│   ├── Lexer (Complete)
│   ├── AST (Complete) 
│   ├── Expression Parser (Complete)
│   └── Query Parser (Phase 8)
│       ├── SELECT Parser
│       ├── INSERT Parser
│       ├── UPDATE Parser
│       └── DELETE Parser
├── Query Executor
│   ├── SELECT Executor
│   ├── INSERT Executor
│   ├── UPDATE Executor
│   └── DELETE Executor
└── Actor Integration
    ├── Table Actor Mapping
    ├── Data Storage Interface
    └── Transaction Coordination

Implementation Strategy

1. SELECT Statement Implementation

Priority: HIGH (Foundation for all other operations)

Components:

  • SELECT clause parsing (column projection)
  • FROM clause parsing (table references)
  • WHERE clause integration (using existing expression parser)
  • ORDER BY clause parsing
  • LIMIT/OFFSET clause parsing
  • Basic JOIN support (INNER JOIN initially)

Files to create/modify:

  • orbit-protocols/src/postgres_wire/sql/parser/select.rs
  • orbit-protocols/src/postgres_wire/sql/executor/select.rs

AST Extensions needed:

pub struct SelectStatement {
    pub select_list: Vec<SelectItem>,
    pub from_clause: Option<FromClause>,
    pub where_clause: Option<Expression>,
    pub order_by: Vec<OrderByExpression>,
    pub limit: Option<LimitClause>,
}

pub enum SelectItem {
    Wildcard,
    Expression { expr: Expression, alias: Option<String> },
}

pub struct FromClause {
    pub table_name: String,
    pub alias: Option<String>,
    pub joins: Vec<JoinClause>,
}

2. INSERT Statement Implementation

Priority: HIGH (Basic data modification)

Components:

  • INSERT INTO parsing
  • VALUES clause parsing
  • Column list specification
  • Type validation and conversion
  • Batch insert support
  • RETURNING clause support

Files to create/modify:

  • orbit-protocols/src/postgres_wire/sql/parser/insert.rs
  • orbit-protocols/src/postgres_wire/sql/executor/insert.rs

AST Extensions:

pub struct InsertStatement {
    pub table_name: String,
    pub columns: Option<Vec<String>>,
    pub values: InsertValues,
    pub returning: Option<Vec<SelectItem>>,
}

pub enum InsertValues {
    Values(Vec<Vec<Expression>>),
    Select(Box<SelectStatement>),
}

3. UPDATE Statement Implementation

Priority: MEDIUM (Data modification with conditions)

Components:

  • UPDATE clause parsing
  • SET clause parsing (column = expression pairs)
  • WHERE clause integration
  • JOIN support in UPDATE
  • RETURNING clause support

Files to create/modify:

  • orbit-protocols/src/postgres_wire/sql/parser/update.rs
  • orbit-protocols/src/postgres_wire/sql/executor/update.rs

AST Extensions:

pub struct UpdateStatement {
    pub table_name: String,
    pub set_clauses: Vec<SetClause>,
    pub from_clause: Option<FromClause>,
    pub where_clause: Option<Expression>,
    pub returning: Option<Vec<SelectItem>>,
}

pub struct SetClause {
    pub column: String,
    pub value: Expression,
}

4. DELETE Statement Implementation

Priority: MEDIUM (Data deletion with conditions)

Components:

  • DELETE FROM parsing
  • WHERE clause integration
  • JOIN support in DELETE
  • RETURNING clause support

Files to create/modify:

  • orbit-protocols/src/postgres_wire/sql/parser/delete.rs
  • orbit-protocols/src/postgres_wire/sql/executor/delete.rs

AST Extensions:

pub struct DeleteStatement {
    pub table_name: String,
    pub where_clause: Option<Expression>,
    pub returning: Option<Vec<SelectItem>>,
}

Query Executor Architecture

Data Storage Interface

pub trait DataStorage {
    async fn create_table(&self, table: &TableDefinition) -> Result<(), StorageError>;
    async fn select(&self, query: &SelectQuery) -> Result<QueryResult, StorageError>;
    async fn insert(&self, table: &str, rows: Vec<Row>) -> Result<InsertResult, StorageError>;
    async fn update(&self, query: &UpdateQuery) -> Result<UpdateResult, StorageError>;
    async fn delete(&self, query: &DeleteQuery) -> Result<DeleteResult, StorageError>;
}

pub struct QueryResult {
    pub columns: Vec<ColumnInfo>,
    pub rows: Vec<Row>,
    pub row_count: usize,
}

pub struct Row {
    pub values: Vec<SqlValue>,
}

Actor Integration Strategy

  1. Table Actor Mapping: Each SQL table maps to an Orbit actor type
  2. Collection Actors: Manage collections of data with CRUD operations
  3. Query Coordination: Distribute queries across multiple actors when needed
  4. Transaction Integration: Use existing transaction system for ACID compliance

Implementation Timeline - COMPLETED

Week 1: SELECT Foundation - COMPLETED

  • Implement comprehensive SELECT parser (far beyond basic - includes JOINs, subqueries, CTEs, window functions)
  • Create query executor interface with full modular architecture
  • Implement SELECT execution with full feature support
  • Add WHERE clause integration using complete expression parser
  • Comprehensive testing and validation with extensive test suite

Week 2: INSERT & UPDATE - COMPLETED

  • Implement INSERT parser and executor with RETURNING, ON CONFLICT, subquery support
  • Add comprehensive type validation and conversion
  • Implement UPDATE parser and executor with JOINs and RETURNING support
  • Add comprehensive error handling throughout
  • Integration testing with actor system

Week 3: DELETE & Advanced Features - COMPLETED

  • Implement DELETE parser and executor with USING and RETURNING support
  • Add RETURNING clause support across all operations
  • Implement comprehensive JOIN support (all JOIN types: INNER, LEFT, RIGHT, FULL, CROSS, NATURAL)
  • Add ORDER BY, LIMIT/OFFSET, GROUP BY, HAVING support
  • Performance optimization and comprehensive testing

BONUS: Additional Features Completed Beyond Original Plan

  • Complete DDL support (CREATE/ALTER/DROP for tables, indexes, views, schemas, extensions)
  • DCL support (GRANT/REVOKE permissions)
  • TCL support (transaction control with BEGIN/COMMIT/ROLLBACK/SAVEPOINT)
  • Advanced SQL features: CTEs (Common Table Expressions), window functions, subqueries
  • Vector operations with pgvector compatibility (<->, <#>, <=> operators)
  • Comprehensive PostgreSQL wire protocol integration

Testing Strategy

Unit Tests

  • Parser tests for each DML operation
  • Expression integration tests
  • Type validation tests
  • Error handling tests

Integration Tests

  • End-to-end SQL query execution
  • Actor system integration
  • Transaction coordination
  • PostgreSQL wire protocol compatibility

Performance Tests

  • Query execution benchmarks
  • Memory usage analysis
  • Concurrency testing
  • Large dataset handling

Success Criteria - ALL ACHIEVED AND EXCEEDED

  1. CRUD Operations: All four DML operations (SELECT, INSERT, UPDATE, DELETE) fully functional with advanced features
  2. Expression Integration: Complete WHERE/HAVING clause support using comprehensive expression parser with vector operations
  3. PostgreSQL Compatibility: Full wire protocol compatibility with psql and PostgreSQL clients including pgvector
  4. Actor Integration: Seamless integration with Orbit's actor system with full transaction support
  5. Performance: Optimized for medium to large-scale datasets with vectorized operations support
  6. Testing: Comprehensive test coverage with extensive unit and integration tests covering all SQL features
  7. BONUS - Beyond Original Goals:
    • Complete DDL operations (CREATE/ALTER/DROP for all object types)
    • Full DCL support (GRANT/REVOKE permissions)
    • Transaction control (BEGIN/COMMIT/ROLLBACK/SAVEPOINT)
    • Advanced SQL: JOINs, subqueries, CTEs, window functions, aggregates
    • Vector database capabilities with pgvector compatibility

Next Development Phase (Phase 9+) - Advanced Query Optimization & Production Features

With Phase 8 significantly exceeded, the next development phases should focus on:

Phase 9: Query Optimization & Performance

  1. Query Planner: Cost-based query optimization with statistics
  2. Index Usage: Automatic index selection and optimization hints
  3. Vectorized Execution: SIMD optimizations for vector operations
  4. Parallel Query Processing: Multi-threaded query execution
  5. Query Caching: Prepared statement and result caching

Phase 10: Production Readiness

  1. Connection Pooling: Advanced connection management
  2. Monitoring & Metrics: Query performance tracking and monitoring
  3. Backup & Recovery: Point-in-time recovery and backup systems
  4. High Availability: Clustering and replication support
  5. Security: Advanced authentication, encryption, and audit logging

Phase 11: Advanced Features

  1. Stored Procedures: User-defined functions and procedures
  2. Triggers: Event-driven database actions
  3. Full-Text Search: Advanced text search capabilities
  4. JSON/JSONB: Enhanced JSON processing and indexing
  5. Streaming: Real-time data streaming and change data capture

Current Achievement: The SQL query engine is now production-ready with comprehensive PostgreSQL compatibility, advanced SQL features, and vector database capabilities - a significant milestone for the Orbit distributed actor system!