How to use mongodb

How to use MongoDB: Download and install MongoDB. Create a database and connect to it. Create a collection (similar to a table). Insert a document (the unit in which data is stored). Query documents (using a query language). Update documents (modify existing data). Delete the document (permanently removes the data). Aggregation pipeline (processing data in series). Other features: data validation, indexing, replication, sharding.

How to use MongoDB

Install MongoDB

• Download the official MongoDB installer: https://www.mongodb.com/try/download/community
• Follow the instructions in the installer to install

Create database

<code>mongod --dbpath /path/to/data</code>

Connect to the database

<code>mongo</code>

Create a collection

• A collection is similar to a relational database Table in

  <code>db.createCollection("myCollection")</code>

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Insert document

• ##Document is the basic unit of data storage in MongoDB

  <code>db.myCollection.insertOne({ name: "John Doe", age: 30 })</code>

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Query documents

• Query uses the query language to filter documents in the collection

  <code>db.myCollection.find({ age: { $gt: 25 } })</code>

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Update document

• Update document can modify the data in the existing document

  <code>db.myCollection.updateOne({ name: "John Doe" }, { $set: { age: 31 } })</code>

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Delete document

• Deleting a document permanently removes it from the collection

  <code>db.myCollection.deleteOne({ name: "John Doe" })</code>

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Aggregation Pipeline

• Aggregation pipelines chain multiple operations together to process data

  <code>db.myCollection.aggregate([
  { $match: { age: { $gt: 25 } } },
  { $group: { _id: "$name", averageAge: { $avg: "$age" } } }
  ])</code>

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More features

• Data validation: Ensure data conforms to specific rules
• Index: Improve query performance
• Replication: Provide redundancy and fault tolerance for data
• Sharding: Distribute large data sets to multiple servers

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