![]() You can now try to bring down the deployment, and get rid of ephemeral containers. Inside MyDatabase>M圜ollection click on Insert Document. Lets create a new database and call it MyDatabase and within it M圜ollection. If it is running elsewhere, use the IP address or domain name of that machine with the same port number.Ĭlick connect from the bottom most corner and you will be connected to the Database. This maybe the address localhost:27017 if you are running Mongo container on your local machine. The next thing you want to do is open MongoDB Compass on your local machine and connect to the Docker Host. To do this modify your docker-compose.yml file as shown: ![]() You don’t need to do this for production purposes, containers on the same network can talk to one another, but for the sake of experimentation, let’s expose the port 27017,which is the default port on which the MongoDB server listens. #Docker mongodb compass installTo see this in action, install MongoDB Compass which is a client program you can run on your desktop or laptop to connect to the database server. ![]() It is not typical SQL database, but rather a key-value store of sorts. If you want you can still connect to the MongoDB server, create a new database within it, and add a few key value pairs. You may not have a front-end application ready just yet. To achieve this we refer to the docker-compose.yml file mentioned in the TL DR section and it makes a little more sense to us now. This way, when a new replacement MongoDB container is spun up and asks for volumes with particular names docker will gracefully mount the older volumes instead of creating new ones. ![]() We need to circumvent this problem by naming volumes ourselves and then mounting them inside the container at their respective mount points. The information we may have retained in the older volumes is not being used. $ docker run -d -name mydb2 mongo:latestĪnd then list the volumes (docker volume ls) you will notice that two new volumes are created and mounted. ![]()
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