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StartDB Update: SQL Query Engine & B-Tree Indexing Now Live!
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StartDB Update: SQL Query Engine & B-Tree Indexing Now Live!

Phase 3 complete! StartDB now has a fully functional SQL query engine with B-Tree indexing, query optimization, and comprehensive transaction support.

January 20, 202515 min read

Phase 3 Complete

StartDB has reached a major milestone with the completion of Phase 3. The database now features a fully functional SQL query engine with B-Tree indexing, advanced query optimization, and comprehensive transaction support. This represents a significant step forward in making StartDB a production-ready database solution.

SQL Query Engine

The new SQL query engine supports a comprehensive set of SQL operations including SELECT, INSERT, UPDATE, DELETE, JOINs, aggregations, and subqueries. The engine includes a sophisticated query planner that optimizes execution plans based on available indexes and table statistics. The parser handles complex SQL syntax and generates efficient execution plans.

B-Tree Indexing

B-Tree indexing has been implemented to dramatically improve query performance. The indexing system supports:

  • Primary key indexes for fast lookups
  • Secondary indexes on any column
  • Composite indexes for multi-column queries
  • Automatic index selection by the query optimizer
  • Index maintenance and updates

Query Optimization

The query optimizer uses cost-based optimization to select the most efficient execution plan. It considers factors like index availability, table sizes, and join strategies. The optimizer has reduced query execution times by up to 70% in benchmark tests, especially for complex queries involving multiple tables and aggregations.

Transaction Support

StartDB now provides full ACID transaction support with:

  • Atomicity - all or nothing execution
  • Consistency - database constraints are maintained
  • Isolation - concurrent transactions don't interfere
  • Durability - committed transactions are persisted

Concurrent Processing

The database engine supports concurrent query processing with proper locking mechanisms. Multiple transactions can run simultaneously while maintaining data consistency. The system uses row-level locking to minimize contention and maximize throughput.

Performance Benchmarks

Benchmark tests show significant performance improvements:

  • 70% faster query execution with B-Tree indexes
  • 10x improvement in range queries
  • 5x improvement in JOIN operations
  • Support for thousands of concurrent connections

What's Next

With Phase 3 complete, the focus shifts to Phase 4 which will include replication, sharding, and advanced analytics capabilities. The foundation is now solid for building distributed database features.