Advanced Topics Hub
Advanced Topics Hub
Section titled “Advanced Topics Hub”This page links to detailed pages for each advanced MongoDB topic.
flowchart TB subgraph Advanced[Advanced MongoDB Topics] Tx[Transactions<br/>Multi-doc ACID] RS[Replica Sets<br/>High Availability] Shard[Sharding<br/>Horizontal Scaling] CS[Change Streams<br/>Real-time Changes] RW[Read/Write Concern<br/>Durability & Consistency] Perf[Performance & explain<br/>Query Optimization] end
Advanced --> Practice[Production Readiness ✅]
style Tx fill:#7c3aed,color:#fff style RS fill:#3b82f6,color:#fff style Shard fill:#059669,color:#fff style CS fill:#f59e0b,color:#fff style RW fill:#ec4899,color:#fff style Perf fill:#06b6d4,color:#fff style Practice fill:#10b981,color:#fffAdvanced Topic Pages
Section titled “Advanced Topic Pages”| Topic | What it covers |
|---|---|
| Replication & Replica Sets | Primary/secondary/arbiter, automatic failover, high availability |
| Sharding | Splitting data across servers, shard key, chunks, mongos router |
| Transactions | Multi-document ACID transactions, sessions, commit/abort |
| Read & Write Concern | Write concern (w, j), read concern, read preference — durability knobs |
| Change Streams | React to data changes in real time, resume tokens |
| Performance & explain() | explain(), covered queries, spotting slow queries |
Common Error Codes
Section titled “Common Error Codes”| Code | Error | Common Cause |
|---|---|---|
| 11000 | Duplicate key | Inserting a document that violates a unique index |
| 121 | Document validation failure | Document doesn’t match $jsonSchema validation |
| 16500 | Too many requests | Atlas free tier throttling |
| 2 | BadValue | Invalid field/operator in query |
| 13 | Unauthorized | Authentication/permission issue |
// Handle duplicate key errortry { await User.create({ email: "existing@example.com" });} catch (err) { if (err.code === 11000) { const field = Object.keys(err.keyValue)[0]; throw new Error(`${field} already exists`); } throw err;}Performance Best Practices
Section titled “Performance Best Practices”1. SCHEMA DESIGN ✅ Design schemas around your query patterns (query-first design) ✅ Embed data that's always accessed together ✅ Reference data that grows unboundedly
2. INDEXING ✅ Index every field used in find(), sort(), and $lookup ✅ Use compound indexes that match your queries (ESR rule) ✅ Use explain() to verify index usage
3. QUERIES ✅ Use projection — only return fields you need ✅ Use pagination (limit + skip or cursor-based) ✅ Put $match early in aggregation pipelines ❌ Avoid $where (JavaScript execution — very slow)
4. CONNECTIONS ✅ Use connection pooling (Mongoose does this by default) ✅ Set appropriate pool size for your app's concurrency
5. OPERATIONS ✅ Use bulk operations instead of loops ✅ Use $inc, $push instead of read-modify-write ✅ Use TTL indexes for auto-expiring dataIn Simple Words
Section titled “In Simple Words”- MongoDB’s advanced features are now in dedicated pages — use the links above
- Replica sets give you high availability; sharding gives you horizontal scale
- Transactions ensure multi-document atomicity; change streams give real-time events
- Always use explain() to debug query performance
- The most common errors are duplicate keys (11000) and validation failures (121)
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