Lesson 64/100

Tutorials MongoDB Tutorial

Read Preferences

Read Preferences: free step-by-step lesson with examples, common mistakes, and interview tips — part of MongoDB Tutorial on Toolliyo Academy.

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MongoDB Tutorial · Lesson 64 of 100

Read Preferences

Foundations & CRUD ✓Queries & Schema ✓Aggregation & ScaleAtlas & Projects

Aggregation & Scale · 3 — Pipelines · ~10 min · MongoDB — Replication & Sharding

What is this?

Read preference controls which replica set member serves reads: primary, primaryPreferred, secondary, secondaryPreferred, or nearest. Write concern is separate — writes still go to the primary.

Why should you care?

Heavy analytics can read from secondaries so the primary keeps serving checkout writes.

See it live — copy this example

Open mongosh or MongoDB Compass, select database nosqlverse, then run the example. Change one field and run again.

// mongosh
db.getMongo().setReadPref("secondaryPreferred")
db.orders.find({ tenantId: "acme" }).limit(5)
// Node driver URI option: ?readPreference=secondaryPreferred
// or collection.find(q).withReadPreference(ReadPreference.secondary)

Run Example »

Edit the code below and click Run to see the result in Toolliyo’s live editor.

Code
Result

What happened?

  • secondaryPreferred tries a secondary, falling back to primary if needed.
  • Stale reads are possible because replication lags.
  • Do not use secondary reads for read-your-writes checkout confirmation without care.

Practice next

  1. Set read pref secondaryPreferred in mongosh on a replica set.
  2. Run a find and check which host served it if possible.
  3. List which APIs can tolerate lag.
  4. Try nearest for multi-region apps.
  5. Combine with maxStalenessSeconds in drivers.

Remember

Read preference chooses read targets. Secondaries may be slightly stale. Use for analytics and heavy reads.

Report reads vs checkout writes

Seller reports use secondaryPreferred; place-order uses primary.

Outcome: Dashboards scale out without starving purchases.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain SQL queries in the context of MongoDB.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define SQL queries in plain languag…
Mid Detailed
What are common mistakes teams make with Schema design when using MongoDB?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Schema design in plain langu…
Senior Detailed
How would you debug a production issue related to Transactions in a MongoDB application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Transactions in plain langua…
Mid Detailed
Compare two approaches to Indexing—when would you choose each?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Indexing in plain language f…
Junior Detailed
Describe a real-world scenario where Normalization mattered in a MongoDB project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Normalization in plain langu…
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MongoDB Tutorial
Course syllabus

MongoDB Tutorial

MongoDB — Foundations
MongoDB — CRUD Operations
MongoDB — Query Operators
MongoDB — Schema Design
MongoDB — Indexing & Performance
MongoDB — Aggregation Pipelines
MongoDB — Replication & Sharding
MongoDB — Atlas & Security
MongoDB — Modern Features
MongoDB — Real-World Projects
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