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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    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 find with projected version.
    • 3. Build a compound index that removes a SORT stage.
    • 4. Rewrite an aggregation so $match happens 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 100
    db.posts.find({ status:"published" }).sort({ _id:-1 }).skip(10000).limit(20);
    // FAST — cursor on _id, constant time
    db.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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