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 } ]