MongoDB

What you will learn

• Documents, BSON and collections: thinking in documents, not tables
• Schema design: embed or reference, and designing for access patterns
• CRUD in depth: filters, projections, updates and upserts
• Indexes: single, compound, multikey, text and TTL
• Reading query plans with explain(), and the ESR rule
• The aggregation pipeline: $match, $group, $lookup and $unwind
• Transactions, write concern and read concern
• Replica sets: elections, failover and read preferences
• Sharding: shard keys, chunks and hot spots
• Change streams and real-time features
• Node.js with MongoDB: drivers, Mongoose and connection pools
• When MongoDB is the wrong tool

How it works

Each chapter starts from a real collection that is slow, inconsistent or too big, then shows the MongoDB model that explains it.

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