Run MongoDB as a Docker Container

How to run the open-source document-oriented database MongoDB as docker container.

Pull the MongoDB container 

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docker pull mongo:latest

Run the container 

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docker run -d -p 27017:27017 --name test-mongo mongo:latest

Where -d flag runs the container in detach (background) mode, -p 27017:27017 bound container’s port 27017 to 27017 and test-mongo is the name.

Verify the state 

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docker ps

Access the MongoDB shell in the running container 

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docker exec -it test-mongo bash

run to access MongoDB

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mongosh

Show

The show dbs command will display all your existing databases.

Here, you have the admin, config, and local databases, which are empty initially.

For details on the different functions that are available from the shell, type help. This will provide a list of some of the database methods available, including commands to display the database’s collections and information.

Use 

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db.createCollection('kea')

show collections

Insert 

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db.kea.insert([
    {
        title: "MongoDB Overview",
        description: "MongoDB is no SQL database",
        by: "Tue Hellstern",
        url: "http://kea.officegeek.dk",
        tags: ["mongodb", "database", "NoSQL"],
    }
])

Advantages of MongoDB over RDBMS

  • Schema less − MongoDB is a document database in which one collection holds different documents. Number of fields, content and size of the document can differ from one document to another.
  • Structure of a single object is clear.
  • No complex joins.
  • Deep query-ability. MongoDB supports dynamic queries on documents using a document-based query language that’s nearly as powerful as SQL.
  • Tuning.
  • Ease of scale-out − MongoDB is easy to scale.
  • Conversion/mapping of application objects to database objects not needed.
  • Uses internal memory for storing the (windowed) working set, enabling faster access of data.

Why Use MongoDB?

  • Document Oriented Storage − Data is stored in the form of JSON style documents.
  • Index on any attribute
  • Replication and high availability
  • Auto-sharding
  • Rich queries
  • Fast in-place updates
  • Professional support by MongoDB

Where to Use MongoDB?

  • Big Data
  • Content Management and Delivery
  • Mobile and Social Infrastructure
  • User Data Management
  • Data Hub