Database Optimization — Complete Guide
Database Optimization — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of MEAN Stack Tutorial on Toolliyo Academy.
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MEAN Stack Tutorial · Lesson 48 of 100
Database Optimization
Stack → Projects
Stack · 1 — Pieces · ~6 min · MEAN — & Databases
What is this?
Database optimization tunes queries, indexes, projections, and connection pools so MeanVerse MongoDB handles enterprise load.
Why should you care?
Slow DB becomes bottleneck no amount of Angular tuning fixes.
See it live — copy this example
Paste into your MeanVerse project (Angular + Express + MongoDB), then run with ng serve / node / mongosh as noted.
// projection — fetch only needed fields
const rows = await Account.find({ tenantId })
.select('name balanceCents currency')
.lean()
.limit(100);
mongoose.connect(uri, {
maxPoolSize: 50,
serverSelectionTimeoutMS: 5000
});
What happened?
- select excludes heavy fields.
- lean returns plain objects — faster than Mongoose documents.
- maxPoolSize caps concurrent connections per API instance.
Practice next
- Enable MongoDB slow query log threshold.
- Add .select and .lean on list endpoints.
- Review aggregation $match index usage.
- Use cursor batchSize for CSV export stream.
- Add readPreference secondaryPreferred for reports.
Remember
Project only fields UI needs. lean() for read-heavy JSON APIs. Pool and timeout settings matter at scale.
Black Friday catalog
Product list API returned full description HTML for 10k SKUs.
Outcome: Projection dropped payload 90%; p95 latency under 100ms.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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