Lesson 69/100

Tutorials MongoDB Tutorial

Chunk Migration

Chunk Migration: 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 69 of 100

Chunk Migration

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

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

What is this?

Chunks are contiguous ranges of shard key values stored on one shard. The balancer migrates chunks between shards to keep data size balanced. Migrations move documents and update config metadata.

Why should you care?

If one shard fills up while others are empty, inserts slow and disks risk filling. Balancing keeps capacity usable.

See it live — copy this example

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

sh.getBalancerState()
sh.isBalancerRunning()
sh.startBalancer()
db.getSiblingDB("config").changelog.find({ what: /moveChunk/ }).sort({ time: -1 }).limit(3)
db.readings.getShardDistribution()

Run Example »

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

Code
Result

What happened?

  • Balancer state shows whether automatic balancing is on.
  • changelog records moveChunk events.
  • getShardDistribution shows counts/sizes per shard after migrations.
  • You can pause the balancer during peak sales if needed.

Practice next

  1. Check balancer state on a sharded cluster.
  2. Inspect distribution for a busy collection.
  3. Read recent moveChunk changelog entries.
  4. sh.disableAutoSplitter careful study in labs only.
  5. Identify jumbo chunks in sh.status().

Remember

Chunks are shard key ranges. Balancer migrates chunks for evenness. Watch distribution and changelog.

Rebalance after adding a shard

Ops adds a fourth shard; balancer migrates chunks onto it overnight.

Outcome: Write load spreads across the new capacity by morning.

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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