Editor’s note: Today’s post is by Sandeep Dinesh, Developer Advocate, Google Cloud Platform, showing how to run a database in a container.
Conventional wisdom says you can’t run a database in a container. “Containers are stateless!” they say, and “databases are pointless without state!”
Of course, this is not true at all. At Google, everything runs in a container, including databases. You just need the right tools. Kubernetes 1.5 includes the new StatefulSet API object (in previous versions, StatefulSet was known as PetSet). With StatefulSets, Kubernetes makes it much easier to run stateful workloads such as databases.
If you’ve followed my previous posts, you know how to create a MEAN Stack app with Docker, then migrate it to Kubernetes to provide easier management and reliability, and create a MongoDB replica set to provide redundancy and high availability.
While the replica set in my previous blog post worked, there were some annoying steps that you needed to follow. You had to manually create a disk, a ReplicationController, and a service for each replica. Scaling the set up and down meant managing all of these resources manually, which is an opportunity for error, and would put your stateful application at risk In the previous example, we created a Makefile to ease the management of these resources, but it would have been great if Kubernetes could just take care of all of this for us.
With StatefulSets, these headaches finally go away. You can create and manage your MongoDB replica set natively in Kubernetes, without the need for scripts and Makefiles. Let’s take a look how.
Note: StatefulSets are currently a beta resource. The sidecar container used for auto-configuration is also unsupported.
Prerequisites and Setup
Before we get started, you’ll need a Kubernetes 1.5+ and the Kubernetes command line tool. If you want to follow along with this tutorial and use Google Cloud Platform, you also need the Google Cloud SDK.
Once you have a Google Cloud project created and have your Google Cloud SDK setup (hint: gcloud init), we can create our cluster.
To create a Kubernetes 1.5 cluster, run the following command:
gcloud container clusters create "test-cluster"
This will make a three node Kubernetes cluster. Feel free to customize the command as you see fit.
Then, authenticate into the cluster:
gcloud container clusters get-credentials test-cluster
Setting up the MongoDB replica set
I’ve created the configuration files for these already, and you can clone the example from GitHub:
git clone https://github.com/thesandlord/mongo-k8s-sidecar.git cd /mongo-k8s-sidecar/example/StatefulSet/
To create the MongoDB replica set, run these two commands:
kubectl apply -f googlecloud\_ssd.yaml kubectl apply -f mongo-statefulset.yaml
That’s it! With these two commands, you have launched all the components required to run an highly available and redundant MongoDB replica set.
At an high level, it looks something like this:
Let’s examine each piece in more detail.
The storage class tells Kubernetes what kind of storage to use for the database nodes. You can set up many different types of StorageClasses in a ton of different environments. For example, if you run Kubernetes in your own datacenter, you can use GlusterFS. On GCP, your storage choices are SSDs and hard disks. There are currently drivers for AWS, Azure, Google Cloud, GlusterFS, OpenStack Cinder, vSphere, Ceph RBD, and Quobyte.
The configuration for the StorageClass looks like this:
kind: StorageClass apiVersion: storage.k8s.io/v1beta1 metadata: name: fast provisioner: kubernetes.io/gce-pd parameters: type: pd-ssd
This configuration creates a new StorageClass called “fast” that is backed by SSD volumes. The StatefulSet can now request a volume, and the StorageClass will automatically create it!
Deploy this StorageClass:
kubectl apply -f googlecloud\_ssd.yaml
Now you have created the Storage Class, you need to make a Headless Service. These are just like normal Kubernetes Services, except they don’t do any load balancing for you. When combined with StatefulSets, they can give you unique DNS addresses that let you directly access the pods! This is perfect for creating MongoDB replica sets, because our app needs to connect to all of the MongoDB nodes individually.
The configuration for the Headless Service looks like this:
apiVersion: v1 kind: Service metadata: name: mongo labels: name: mongo spec: ports: - port: 27017 targetPort: 27017 clusterIP: None selector: role: mongo
You can tell this is a Headless Service because the clusterIP is set to “None.” Other than that, it looks exactly the same as any normal Kubernetes Service.
The pièce de résistance. The StatefulSet actually runs MongoDB and orchestrates everything together. StatefulSets differ from Kubernetes ReplicaSets (not to be confused with MongoDB replica sets!) in certain ways that makes them more suited for stateful applications. Unlike Kubernetes ReplicaSets, pods created under a StatefulSet have a few unique attributes. The name of the pod is not random, instead each pod gets an ordinal name. Combined with the Headless Service, this allows pods to have stable identification. In addition, pods are created one at a time instead of all at once, which can help when bootstrapping a stateful system. You can read more about StatefulSets in the documentation.
Just like before, this “sidecar” container will configure the MongoDB replica set automatically. A “sidecar” is a helper container which helps the main container do its work.
The configuration for the StatefulSet looks like this:
apiVersion: apps/v1beta1 kind: StatefulSet metadata: name: mongo spec: serviceName: "mongo" replicas: 3 template: metadata: labels: role: mongo environment: test spec: terminationGracePeriodSeconds: 10 containers: - name: mongo image: mongo command: - mongod - "--replSet" - rs0 - "--smallfiles" - "--noprealloc" ports: - containerPort: 27017 volumeMounts: - name: mongo-persistent-storage mountPath: /data/db - name: mongo-sidecar image: cvallance/mongo-k8s-sidecar env: - name: MONGO\_SIDECAR\_POD\_LABELS value: "role=mongo,environment=test" volumeClaimTemplates: - metadata: name: mongo-persistent-storage annotations: volume.beta.kubernetes.io/storage-class: "fast" spec: accessModes: ["ReadWriteOnce"] resources: requests: storage: 100Gi
It’s a little long, but fairly straightforward.
The first second describes the StatefulSet object. Then, we move into the Metadata section, where you can specify labels and the number of replicas.
Next comes the pod spec. The terminationGracePeriodSeconds is used to gracefully shutdown the pod when you scale down the number of replicas, which is important for databases! Then the configurations for the two containers is shown. The first one runs MongoDB with command line flags that configure the replica set name. It also mounts the persistent storage volume to /data/db, the location where MongoDB saves its data. The second container runs the sidecar.
Finally, there is the volumeClaimTemplates. This is what talks to the StorageClass we created before to provision the volume. It will provision a 100 GB disk for each MongoDB replica.
Using the MongoDB replica set
At this point, you should have three pods created in your cluster. These correspond to the three nodes in your MongoDB replica set. You can see them with this command:
kubectl get pods NAME READY STATUS RESTARTS AGE mongo-0 2/2 Running 0 3m mongo-1 2/2 Running 0 3m mongo-2 2/2 Running 0 3m
Each pod in a StatefulSet backed by a Headless Service will have a stable DNS name. The template follows this format: <pod-name>.<service-name>
This means the DNS names for the MongoDB replica set are:
mongo-0.mongo mongo-1.mongo mongo-2.mongo
You can use these names directly in the connection string URI of your app.
In this case, the connection string URI would be:
Scaling the MongoDB replica set
A huge advantage of StatefulSets is that you can scale them just like Kubernetes ReplicaSets. If you want 5 MongoDB Nodes instead of 3, just run the scale command:
kubectl scale --replicas=5 statefulset mongo
The sidecar container will automatically configure the new MongoDB nodes to join the replica set.
Include the two new nodes (mongo-3.mongo & mongo-4.mongo) in your connection string URI and you are good to go. Too easy!
To clean up the deployed resources, delete the StatefulSet, Headless Service, and the provisioned volumes.
Delete the StatefulSet:
kubectl delete statefulset mongo
Delete the Service:
kubectl delete svc mongo
Delete the Volumes:
kubectl delete pvc -l role=mongo
Finally, you can delete the test cluster:
gcloud container clusters delete "test-cluster"
–Sandeep Dinesh, Developer Advocate, Google Cloud Platform.