Quick mongo tutorial

# Run mongo container, expose mongo port
$ docker run --name mongodb -p 27017:27017 -d mongodb/mongodb-community-server:latest

# connect to container to run mongo shell
$ docker exec -it mongodb 

# Now, in the mongo container, run mongosh
$ mongosh

# when connected to mongosh, use `help` to show available commands
test> help

# list dbs
test> show dbs

# Create and switch to db blog if not exist
test> use blog

# Create collection (or `table`)
$ db.createCollection("posts") 

# switch to admin db
$ use admin

# Show first document
$ db.system.version.findOne()

# Insert one docs
$ db.posts.insertOne({})

# Insert mutiple docs
$ db.posts.insertMany([ obj1, obj2 ])

# From your host machine, download sample csv 'citybike'
curl -o citybike.csv https://raw.githubusercontent.com/mongodb-developer/datasets/refs/heads/master/201912-citibike-tripdata-subset.csv

# Copy csv file to mongo container
docker cp citybike.csv mongo:/tmp/citybike.csv

# In mongo container, import sample data to test DB
$ mongoimport --type=csv --headerline /tmp/citybike.csv

# List some rows
$ db.citybike.find({}, {}, {limit: 1})

    [
        {
            _id: ObjectId('671c57a08c5dcbdd8f44b140'),
            tripduration: 602,
            starttime: '2019-12-01 00:00:05.5640',
            stoptime: '2019-12-01 00:10:07.8180',
            'start station id': 3382,
            'start station name': 'Carroll St & Smith St',
            'start station latitude': 40.680611,
            'start station longitude': -73.99475825,
            'end station id': 3304,
            'end station name': '6 Ave & 9 St',
            'end station latitude': 40.668127,
            'end station longitude': -73.98377641,
            bikeid: 41932,
            usertype: 'Subscriber',
            'birth year': 1970,
            gender: 1
        }
    ]