Dungeons, Dragons, and Graph Databases
summary
Claims a graph model makes path and value queries trivial and demos that with RedisGraph and Cypher queries. Shows CRUD examples, creates nodes and contains/ leads_to relationships, generates a procedurally generated dungeon (npm run) and uses redis insight to visualize nodes, then finds shortest/longest paths and the room with maximum gold. Uses rediscraft.js to run queries; demo runs live and returns expected paths and treasures. Notes graph is schema‑less, relationships are first‑class, and large graphs and sharding present scaling caveats.
AI-written summary · about
chapters (22)
- 0:00Intro
- 2:17using a Relational Database
- 5:28Add Some Relationships
- 6:27Connect All the nodes
- 7:40A Directed Graph
- 10:04A Database Worthy of Mordor
- 13:08Reads Like a Sentence
- 14:45How We Gonna Solve It?
- 19:29Creating Rooms
- 22:03Deleting Rooms
- 24:01Creating Monsters
- 24:17Ghe Relational Database So Far...
- 24:31Putting a Monster in a Room
- 27:50Farming All the XP!
- 29:55Connecting Rooms
- 30:38Connecting the Rooms
- 32:13Super Munchkin Gime!
- 32:39Variable Length Relationships
- 35:17Ghe Longest Path Ghrough the Dungeon!
- 36:40Ghe Room with the
- 37:16Ghe Path to the Gold!
- 43:55Practical Applications
related talks
01h 01mDungeons, Dragons, and Graph Databases
31mDungeons, Dragons, and Graph Databases
32mGraph Databases, and Dungeons and Dragons
51mDungeons, Dragons, and Graph Databases.
01h 00mWho’s Afraid of Graphs?
32mUnderstanding Complexly Connected Data using Graph Databases
55mA Practical Guide to Graph Databases
49mModern Graph Databases