π Mastering MongoDB Concepts for Web Technologies
MongoDB is the backbone of MERN Stack applications, and understanding it is crucial for building scalable applications and acing interviews. Hereβs a quick guide covering all essential concepts! π
πΉ 1. MongoDB Basics
β NoSQL Database β Stores data in JSON-like BSON format.
β Collections & Documents β Similar to SQL tables & rows, but flexible.
πΉ 2. CRUD Operations
β Create β db.users.insertOne({ name: "Alice" })
β Read β db.users.find({ age: { $gt: 20 } })
β Update β db.users.updateOne({ name: "Alice" }, { $set: { age: 30 } })
β Delete β db.users.deleteOne({ name: "Alice" })
πΉ 3. Indexing for Performance
β Speed up queries using indexes:
db.users.createIndex({ email: 1 });
πΉ 4. Aggregation Framework
β Used for data analytics & reporting.
β Example: Count users by age
db.users.aggregate([{ $group: { _id: "$age", count: { $sum: 1 } } }]);
πΉ 5. Relationships: Embed vs. Reference
β Embed: Store related data in the same document (faster reads).
β Reference: Store ObjectIDs to avoid redundancy (normalized).
πΉ 6. Transactions for Atomic Operations
β Use Mongoose transactions when updating multiple documents:
const session = await mongoose.startSession();
session.startTransaction();
try {
await User.updateOne({ _id: userId }, { balance: 100 }, { session });
await session.commitTransaction();
} catch (err) {
await session.abortTransaction();
} finally {
session.endSession();
}
πΉ 7. MongoDB in MERN Stack
β Connect MongoDB to Node.js
mongoose.connect("mongodb://localhost:27017/myDB");
β Build APIs with Express.js
app.get("/users", async (req, res) => {
const users = await User.find();
res.json(users);
});
πΉ 8. MongoDB Optimization & Best Practices
β
Use Indexes for faster queries.
β
Use Aggregation for analytics and reporting.
β
Use Projection to fetch only required fields.
β
Use Pagination with .limit()
and .skip()
.
β
Choose between Embedding vs. Referencing wisely.
π₯ Common Interview Questions
πΉ How does MongoDB differ from SQL?
πΉ What is the use of indexing in MongoDB?
πΉ How would you design a scalable database in MongoDB?
πΉ How do transactions work in MongoDB?
π¬ Have any doubts? Drop them in the comments! Let's discuss. π
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