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View PlansDocker is an open-source project that automates the deployment of applications inside software containers.
MongoDB is an open-source document database and leading NoSQL database. MongoDB is written in C++.
Docker containers wrap up a piece of software in a complete filesystem that contains everything it needs to run: code, runtime, system tools, system libraries - anything you can install on a server. This guarantees that it will always run the same, regardless of the environment it is running in.
MongoDB is document database in which one collection holds different different documents, which makes it schema less. Number of fields, content and size of the document can be differ from one document to another. It also has deep query-ability. MongoDB supports dynamic queries on documents using a document-based query language that's nearly as powerful as SQL. MongoDB is easy to scale & conversion / mapping of application objects to database objects is not needed. It uses internal memory for storing the (windowed) working set, enabling faster access of data.
Using Docker and containers for deploying MongoDB instances will bring several benefits, such as:
In this tutorial, we will learn how to build a Docker image with MongoDB.
Create a directory in which we will write Dockerfile and keep all configuration files in it, if required.
sudo mkdir /Docker
cd /Docker
Create a file named Dockerfile
using the following command,
sudo nano Dockerfile
Add following content into the Dockerfile
.
FROM ubuntu
MAINTAINER Firstname Lastname your@email.comRUN
apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 7F0RBB10 &&
echo 'deb http://downloads-distro.mongodb.org/repo/ubuntu-upstart dist 10gen' | sudo tee /etc/apt/sources.list.d/mongodb.list &&
apt-get update &&
apt-get install -y mongodb-org
VOLUME ["/data/db"]
WORKDIR /data
EXPOSE 27017
CMD ["mongod"]
Save and exit the file.
The following is an explanation of what we used to build the Dockerfile
.
The MAINTAINER instruction allows you to set the Author field of the generated images.
The RUN instruction will execute the setup steps found on the MongoDB site in their correct order.
The VOLUME instruction tells the container to mount '/data/db' as attached data volume to container.
The WORKDIR instruction sets the working directory for any RUN, CMD, ENTRYPOINT, COPY and ADD instructions that follow it in the Dockerfile.
The EXPOSE instructs the container to expose the given port to the host system.
The CMD instruction is set to run MongoDB process when container starts.
After creating the Dockerfile
, you can build the image by running following command.sudo docker build -t mongodb
Run docker images
command and verify your Docker image is in the list.
sudo docker images
You should see the following output:
REPOSITORY TAG IMAGE ID CREATED SIZE
frodenas/mongodb latest e17b56e5200a 5 seconds ago 235.3 MB
firefox-instance latest 8e61bff07fa0 4 weeks ago 354.6 MB
centos latest d0e7f81ca65c 4 weeks ago 196.6 MB
debian latest f50f9524513f 5 weeks ago 125.1 MB
apache/ubuntu latest 196655130bc9 5 weeks ago 224.1 MB
apache-instance latest 7da78270c5f7 5 weeks ago 224.1 MB
Next, start the docker container by running the following command:
docker run --name mongo-dev -d -v /opt/mongodb:/data/db -p 27017:27017 mongodb
Run docker ps
to check the container status. We have mapped MongoDB port 27017 of container to local host's port 27017 while starting container.
To verify MongoDB, Let's try to connect to the server and create a new db with a record. We will need the mongo client tools installed to issue the next commands.
Run following command to connect to MongoDB server running inside Docker container,
mongo localhost:27017
You should get a Mongo prompt after running above command.
Create new database,
use mynewdb
Now let's use MongoDB's sample data script to populate a testData
collection,
for (var i = 1; i <= 15; i++) {
db.testData.insert( { x : i } )
}
Now, query the data,
db.testData.find()
To exit the MongoDB shell,
quit()
Now, let's check that the instance of MongoDB container has db files outside of the container by running ls
on /opt/mongodb
. You should see similar output shown below.
journal local.0 local.ns mongod.lock _tmp mynewdb.0 mynewdb.ns
Now check what happens when the container is restarted?
sudo docker restart mongo-dev
Now try to re-connect to MongoDB and validate the data exists.
In this tutorial we learned to create a MongoDB Docker container and store the data in a volume which stores the persistent data across container restart.
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