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query-planner

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Context Runtime — a database query planner for LLM context. Decides what a model sees before it answers; plans it, runs it through reused substrate, and learns from the outcome.

  • Updated Oct 24, 2026
  • Python

A minimal educational relational database management system (RDBMS) implemented in Java 17. The project demonstrates a custom SQL processing pipeline, including lexer, parser, semantic analysis, query planning, optimization, and execution. It features a storage engine with heap pages, a buffer pool, and supports indexing using B-trees and Hash

  • Updated Dec 27, 2025
  • Java

In-memory SQL query engine written from scratch in C#, with a B+ tree and hash index, a cost-based query planner and Volcano-style execution with parallel aggregation. Results are verified against SQLite on 500 randomly generated queries.

  • Updated Oct 6, 2026
  • C#

A real relational database engine from scratch in pure Python, zero dependencies: checksummed paged storage, a bounded buffer pool, a B+Tree with secondary indexes and overflow pages, a WAL with crash recovery, MVCC transactions, a SQL parser + planner (joins, aggregation), a DB-API 2.0 driver, and a client/server.

  • Updated Sep 9, 2026
  • Python

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