Getting Non-Relational with MongoDB

on YouTube ↗48m

" summary

Open source document DB stores JSON-style data as BSON so Ruby hashes map to documents, supports atomic single-document updates (examples show $push to append comments), tunable indexes including multi-key array indexes, mmap-backed storage for memcached-like single-node speed, asynchronous replication and replica pairs for automatic failover, no multi-document transactions, GridFS for large files, mapreduce and capped collections, mongos router plus config servers for auto-sharding, SourceForge runs ~2 TB in production.

AI-written summary · about

" chapters (13)

1. 0:00Start
2. 3:40RDBMS
3. 7:14Schema-free
4. 8:41Dynamic queries
5. 13:34Less good at
6. 14:46Document
7. 15:07Collection
8. 17:21Embedding a comment
9. 21:40Basic paging
10. 23:15Advanced queries
11. 26:42Other cool stuff
12. 30:00Terminology
13. 32:49mongod mongod mongod

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