A Mongodb quick start

MongoDB is a leading NoSQL database that offers a flexible document-based data model. It provides scalability, high performance, and ease of use for building modern, data-intensive applications in various industries.

Let's take a few minutes to learn how to work with the blazing fast mongodb.

Notes

• You don't need to install everything on dev machine anymore, just launch a docker container and you have the software/services ready for working. BTW, almost everything is "containerized" now, you should leverage it.
• Learn the essential terminologies and try to answer basic questions (like what is docker, which problem does it solve, what is mongodb, collection, document ...)
• When you've got the basics, Google will be your friend (with proper English).

Launch mongodb container

• Follow this link to launch mongodb container.

# Basically this command
docker run --name mongo -d mongodb/mongodb-community-server:latest

Import sample Netflix titles data to netflixdb

• Download Netflix sample data (csv, click on 'raw') from this link

• Copy the csv file to /tmp folder in mongodb container (replace 8899d85c84b0 with mongodb container ID on your machine)
  

# List running containers, copy mongodb container ID (something like 8899d85c84b0) for later use
> docker ps

CONTAINER ID   IMAGE                                     COMMAND                  CREATED        STATUS        PORTS       NAMES
8899d85c84b0   mongodb/mongodb-community-server:latest   "python3 /usr/local/…"   17 hours ago   Up 17 hours   27017/tcp   mongo

# Copy netflix.csv to container
> docker container cp netflix.csv 8899d85c84b0:/tmp

• Connect to the Mongodb container Bash shell (mongosh):

# Connect to mongodb shell in the container
> docker exec -it mongo bash

# Check if the netflix.csv file is in /tmp folder
> ls /tmp

• Import Netflix sample data to netflixdb with command:

> mongoimport -d netflixdb --collection=title --type=csv --file=/tmp/netflix.csv --headerline

• Check imported documents

# Open mongo shell
> mongosh

# Take a look at first 5 documents
db.title.find().limit(5)

# Press Ctrl-D to exit from mongo shell
# Press Ctrl-D again to exit from Bash shell

More tutorial on basic Mongodb commands

• Continue learning other Mongodb basic commands here

Finally, keep expanding your MongoDB skills by discovering MongoDB documents and try answering the questions below:

1. Why is MongoDB high performance?
2. How fast are MongoDB queries?
3. How can I make MongoDB faster?
4. How much RAM does MongoDB need?
5. Is MongoDB good for large data?