MongoDB Tutorial 0/120 lessons ~6 min read Lesson 116
Performance Challenges
Performance challenges build the optimization reflex: spot the slow pattern, prove it with explain(), fix it with the smallest possible change, and measure the win.
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Focus
4 guided sections
Practice signal
Examples included
Career prep
Foundation builder
Introduction
Performance challenges build the optimization reflex: spot the slow pattern, prove it with explain(), fix it with the smallest possible change, and measure the win.
Understanding the topic
6 timed performance fixes:
- 1. Convert a
skip(10000)pagination to cursor-based. - 2. Replace 100-field projection-less
findwith projected version. - 3. Build a compound index that removes a SORT stage.
- 4. Rewrite an aggregation so
$matchhappens before$lookup. - 5. Move analytics reads to a tagged secondary.
- 6. Add a TTL index to bound an ever-growing sessions collection.
Informative example
Challenge 1 — skip → cursor:
js
// SLOW — skip becomes O(n) past page 100db.posts.find({ status:"published" }).sort({ _id:-1 }).skip(10000).limit(20);// FAST — cursor on _id, constant timedb.posts.find({ status:"published", _id: { $lt: lastSeenId } }).sort({ _id:-1 }).limit(20);
Best practices
- Measure before and after every change; without numbers it's superstition.
- Make one change at a time so you can attribute the win.
- Document each fix as a one-paragraph note — your future self will thank you.
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