A relational database implementation written in C++ featuring a file manager, relation manager, index manager, and query engine
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Updated
Oct 18, 2021 - C++
A relational database implementation written in C++ featuring a file manager, relation manager, index manager, and query engine
This project simulates a database management system using a B+ Tree to efficiently store and manage data. It demonstrates key database concepts such as table management, indexing, and basic tree operations like insertion, searching, and deletion. The B+ Tree structure enables fast data access, making it ideal for indexing in databases.
Type-safe, fluent API for Elasticsearch queries and index management
Golang library for managing MongoDB connections, indexes, and heartbeat for clients. Index as code. Dirty write handling. Retry handling for E11000 duplicate key errors.
Index migrations for Elasticsearch
A service for managing indices and aliases in an elasticsearch cluster
This project implements a custom database management system using a doubly linked list structure. It features SQL-like query parsing, supports basic database operations, and employs efficient index management.
📝 Scripts to Elasticsearch Index Management
MythosEcho is a compact multilingual creator toolkit that synthesizes mythology-focused creator assets (hooks, narratives, metadata) using a Next.js dashboard, a FastAPI backend, Elastic Cloud Serverless (ELSER v2 embeddings + semantic search), and Vertex AI / Gemini for generation. Currently production ready for English, Hindi and Tamil languages.
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