MongoDB & MongooseInterview preparation
Advanced·Concept·2 min read

How do I fix slow aggregation, pagination or N+1 queries?

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Definition:

Query performance depends on how much data is scanned, joined, sorted and returned for each useful result. Slow pagination and N+1 patterns often do repeated work that grows with result size. The best fix usually reduces that work before increasing hardware or connection limits.

Key points:

  • Check scan counts and indexes; reduce documents before expensive joins or groups.

  • For deep pages, use a stable cursor such as createdAt plus _id.

  • Batch related reads and reuse a bounded connection pool.

  • Keep filters, selected fields and sort keys consistent with cursor construction, including a unique tie-breaker.

Interview point:

  • Compare query count, examined documents and latency before and after the change, not just endpoint code length.
Adapted from 04_MONGODB_MONGOOSE.md · “How do I fix slow aggregation, pagination or N+1 queries?”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.